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ORCIDMin Song 0001
Person information
- affiliation: Yonsei University, Department of Library & Information, Seoul, South Korea
- affiliation (2006 - 2012): New Jersey Institute of Technology, Newark, NJ, USA
- affiliation (2000 - 2005): Drexel University, Philadelphia, PA, USA
Other persons with the same name
- Min Song — disambiguation page
- Min Song 0002
![[0000-0002-6245-9816]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-6245-9816")
— Stevens Institute of Technology, Department of Electrical and Computer Engineering, Hoboken, NJ, USA (and 4 more)
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2020 – today
- 2024
[j110]Tehmina Amjad, Tatsawan Timakum, Qing Xie, Min Song:
Editorial: Text mining-based mental health research. Frontiers Res. Metrics Anal. 9 (2024)- [j109]Ling Kong, Wei Zhang, Haotian Hu, Zhu Liang, Yonggang Han, Dongbo Wang, Min Song:
Transdisciplinary fine-grained citation content analysis: A multi-task learning perspective for citation aspect and sentiment classification. J. Informetrics 18(3): 101542 (2024) - [j108]Arida Ferti Syafiandini, Jeeyoung Yoon, Soobin Lee, Chaemin Song, Erjia Yan, Min Song:
Examining between-sectors knowledge transfer in the pharmacology field. Scientometrics 129(6): 3115-3147 (2024) - [c69]Tatsawan Timakum, Soobin Lee, Haotian Hu, Il-Yeol Song, Min Song:
DOLAP: A 25 Year Journey Through Research Trends and Performance (Invited Paper). DOLAP 2024: 1-8 - [i8]Jian Xu, Chao Yu, Jiawei Xu, Ying Ding, Vetle I. Torvik, Jaewoo Kang, Mujeen Sung, Min Song:
PubMed knowledge graph 2.0: Connecting papers, patents, and clinical trials in biomedical science. CoRR abs/2410.07969 (2024) - 2023
- [j107]Tatsawan Timakum, Min Song, Giyeong Kim:
Integrated entitymetrics analysis for health information on bipolar disorder using social media data and scientific literature. Aslib J. Inf. Manag. 75(3): 535-560 (2023) - [j106]Jeeyoung Yoon, Arida Ferti Syafiandini, Min Song:
Exploring the knowledge certainty shift: Metaknowledge analysis on drugs via assertion uncertainty burstiness. J. Informetrics 17(2): 101412 (2023) - [j105]Go Eun Heo, Young Soo Ko, Qing Xie, Min Song:
High acknowledgement index: Characterizing research supporters with factors of acknowledgement affecting paper citation counts. J. Informetrics 17(4): 101447 (2023) - [j104]Wei Zhang, Hao Wang, Min Song, Sanhong Deng:
A method of constructing a fine-grained sentiment lexicon for the humanities computing of classical chinese poetry. Neural Comput. Appl. 35(3): 2325-2346 (2023) - [j103]Muhammad Sajid Qureshi, Ali Daud, Malik Khizar Hayat, Min Song, Yejin Park:
Heading Towards Sub-Discipline Rankings for Higher Education Institutions. IEEE Trans. Comput. Soc. Syst. 10(6): 3536-3555 (2023) - [c68]Sooyeon Park, Hyunseo Park, Hyuntak Kim, Yongsang Yoo, Min Song:
Jobicon:A Job Icon Dataset for Concept Recognition by Understanding Compositionality. BigComp 2023: 248-255 - 2022
- [j102]Eun Byul Lee, Go Eun Heo, Chang Min Choi, Min Song:
MLM-based typographical error correction of unstructured medical texts for named entity recognition. BMC Bioinform. 23(1): 486 (2022) - [j101]Meijun Liu, Yi Bu, Chongyan Chen, Jian Xu, Daifeng Li, Yan Leng, Richard B. Freeman, Eric T. Meyer, Wonjin Yoon, Mujeen Sung, Minbyul Jeong, Jinhyuk Lee, Jaewoo Kang, Chao Min, Min Song, Yujia Zhai, Ying Ding:
Pandemics are catalysts of scientific novelty: Evidence from COVID-19. J. Assoc. Inf. Sci. Technol. 73(8): 1065-1078 (2022) - [j100]Erin H. J. Kim, Yoo Kyung Jeong, YongHwan Kim, Min Song:
Exploring scientific trajectories of a large-scale dataset using topic-integrated path extraction. J. Informetrics 16(1): 101242 (2022) - [j99]Hyeyoung Kim, Hyelin Park, Min Song:
Developing a topic-driven method for interdisciplinarity analysis. J. Informetrics 16(2): 101255 (2022) - [j98]Qing Xie, Xinyuan Zhang, Giyeong Kim, Min Song:
Exploring the influence of coauthorship with top scientists on researchers' affiliation, research topic, productivity, and impact. J. Informetrics 16(3): 101314 (2022) - [j97]Hyung Jun Park, Namu Park, Jang Ho Lee, Myeong Geun Choi, Jin-Sook Ryu, Min Song, Chang Min Choi:
Automated extraction of information of lung cancer staging from unstructured reports of PET-CT interpretation: natural language processing with deep-learning. BMC Medical Informatics Decis. Mak. 22(1): 229 (2022) - [j96]Yeawon Lee, Jinseok Son, Min Song:
BertSRC: transformer-based semantic relation classification. BMC Medical Informatics Decis. Mak. 22(1): 234 (2022) - [j95]Xinyuan Zhang, Qing Xie, Chaemin Song, Min Song:
Mining the evolutionary process of knowledge through multiple relationships between keywords. Scientometrics 127(4): 2023-2053 (2022) - [j94]Qi Yu, Qi Wang, Yafei Zhang, Chongyan Chen, Hyeyoung Ryu, Namu Park, Jae-Eun Baek, Keyuan Li, Yifei Wu, Daifeng Li, Jian Xu, Meijun Liu, Jeremy J. Yang, Chenwei Zhang, Chao Lu, Peng Zhang, Xin Li, Baitong Chen, Islam Akef Ebeid, Julia Fensel, Chao Min, Yujia Zhai, Min Song, Ying Ding, Yi Bu:
Reply to issues about entitymetrics and paper-entity citation network. Scientometrics 127(4): 2127-2129 (2022) - [j93]Riad Alharbey, Jong In Kim, Ali Daud, Min Song, Abdulrahman A. Alshdadi, Malik Khizar Hayat:
Indexing important drugs from medical literature. Scientometrics 127(5): 2661-2681 (2022) - [c67]Injin Paek, Nayoung Choi, Seongjin Ha, Yuheun Kim, Min Song:
SQ2SV: Sequential Queries to Sequential Videos retrieval. IEEE Big Data 2022: 3631-3634 - 2021
- [j92]Tatsawan Timakum, Soobin Lee, Min Song:
Exploring the research landscape of data warehousing and mining based on DaWaK Conference full-text articles. Data Knowl. Eng. 135: 101926 (2021) - [j91]Gibong Hong, Yuheun Kim, YeonJung Choi, Min Song:
BioPREP: Deep learning-based predicate classification with SemMedDB. J. Biomed. Informatics 122: 103888 (2021) - [j90]Gyeong Taek Lee, Chang Ouk Kim, Min Song:
Semisupervised sentiment analysis method for online text reviews. J. Inf. Sci. 47(3) (2021) - [j89]Xinyuan Zhang, Qing Xie, Min Song:
Measuring the impact of novelty, bibliometric, and academic-network factors on citation count using a neural network. J. Informetrics 15(2): 101140 (2021) - [j88]Qing Xie, Jiamin Wang, Giyeong Kim, Soobin Lee, Min Song:
A sensitivity analysis of factors influential to the popularity of shared data in data repositories. J. Informetrics 15(3): 101142 (2021) - [j87]Qing Xie, Xinyuan Zhang, Min Song:
A network embedding-based scholar assessment indicator considering four facets: Research topic, author credit allocation, field-normalized journal impact, and published time. J. Informetrics 15(4): 101201 (2021) - [j86]Qi Yu, Qi Wang, Yafei Zhang, Chongyan Chen, Hyeyoung Ryu, Namu Park, Jae-Eun Baek, Keyuan Li, Yifei Wu, Daifeng Li, Jian Xu, Meijun Liu, Jeremy J. Yang, Chenwei Zhang, Chao Lu, Peng Zhang, Xin Li, Baitong Chen, Islam Akef Ebeid, Julia Fensel, Chao Min, Yujia Zhai, Min Song, Ying Ding, Yi Bu:
Analyzing knowledge entities about COVID-19 using entitymetrics. Scientometrics 126(5): 4491-4509 (2021) - 2020
- [j85]Qing Xie, Kyoung Min Yang, Go Eun Heo, Min Song:
Literature based discovery of alternative TCM medicine for adverse reactions to depression drugs. BMC Bioinform. 21-S(5): 405 (2020) - [j84]Yoo Kyung Jeong, Qing Xie, Erjia Yan, Min Song:
Examining drug and side effect relation using author-entity pair bipartite networks. J. Informetrics 14(1): 100999 (2020) - [j83]Qing Xie, Xinyuan Zhang, Ying Ding, Min Song:
Monolingual and multilingual topic analysis using LDA and BERT embeddings. J. Informetrics 14(3): 101055 (2020) - [j82]Min Song, Qing Xie:
Characterizing the psychiatric drug responses of Reddit users from a socialomics perspective. J. Informetrics 14(3): 101056 (2020) - [j81]Xuli Tang, Xin Li, Ying Ding, Min Song, Yi Bu:
The pace of artificial intelligence innovations: Speed, talent, and trial-and-error. J. Informetrics 14(4): 101094 (2020) - [j80]Tatsawan Timakum, Giyeong Kim, Min Song:
A data-driven analysis of the knowledge structure of library science with full-text journal articles. J. Libr. Inf. Sci. 52(2) (2020) - [j79]Ali Daud, Min Song, Malik Khizar Hayat, Tehmina Amjad, Rabeeh Ayaz Abbasi, Hassan Dawood, Anwar Ghani:
Finding rising stars in bibliometric networks. Scientometrics 124(1): 633-661 (2020) - [j78]Minchul Lee, Min Song:
Incorporating citation impact into analysis of research trends. Scientometrics 124(2): 1191-1224 (2020) - [j77]Nakyeong Lee, Yukyeong Han, Wei Xong, Min Song:
Two layer-based trajectory analysis of the research trend in automotive fuel industry. Scientometrics 124(3): 1701-1719 (2020) - [j76]Minchul Lee, Sieun Jeon, Min Song:
Characterizing user interest in NoSQL databases of social question and answer data. J. Supercomput. 76(5): 3866-3881 (2020) - [j75]Hyeonseo Lee, Nakyeong Lee, Harim Seo, Min Song:
Developing a supervised learning-based social media business sentiment index. J. Supercomput. 76(5): 3882-3897 (2020) - [c66]Tatsawan Timakum, Soobin Lee, Il-Yeol Song, Min Song:
Analyzing the Research Landscape of DaWaK Papers from 1999 to 2019. DaWaK 2020: 3-13 - [e8]Min Song, Il-Yeol Song, Gabriele Kotsis, A Min Tjoa, Ismail Khalil:
Big Data Analytics and Knowledge Discovery - 22nd International Conference, DaWaK 2020, Bratislava, Slovakia, September 14-17, 2020, Proceedings. Lecture Notes in Computer Science 12393, Springer 2020, ISBN 978-3-030-59064-2 [contents] - [i7]Jian Xu, Sunkyu Kim, Min Song, Minbyul Jeong, Donghyeon Kim, Jaewoo Kang, Justin F. Rousseau, Xin Li, Weijia Xu, Vetle I. Torvik, Yi Bu, Chongyan Chen, Islam Akef Ebeid, Daifeng Li, Ying Ding:
Building a PubMed knowledge graph. CoRR abs/2005.04308 (2020) - [i6]Xuli Tang, Xin Li, Ying Ding, Min Song, Yi Bu:
The Pace of Artificial Intelligence Innovations: Speed, Talent, and Trial-and-Error. CoRR abs/2009.01812 (2020) - [i5]Meijun Liu, Yi Bu, Chongyan Chen, Jian Xu, Daifeng Li, Yan Leng, Richard Barry Freeman, Eric Meyer, Wonjin Yoon, Mujeen Sung, Minbyul Jeong, Jinhyuk Lee, Jaewoo Kang, Min Song, Yujia Zhai, Ying Ding:
Can pandemics transform scientific novelty? Evidence from COVID-19. CoRR abs/2009.12500 (2020)
2010 – 2019
- 2019
- [j74]Min Song, Wonjun Kim:
Depth Estimation From a Single Image Using Guided Deep Network. IEEE Access 7: 142595-142606 (2019) - [j73]Zolzaya Dashdorj, Min Song:
An application of convolutional neural networks with salient features for relation classification. BMC Bioinform. 20-S(10): 244:1-244:12 (2019) - [j72]Guilin Meng, Yong Huang, Qi Yu, Ying Ding, David J. Wild, Yanxin Zhao, Xueyuan Liu, Min Song:
Adopting Text Mining on Rehabilitation Therapy Repositioning for Stroke. Frontiers Neuroinformatics 13: 17 (2019) - [j71]Go Eun Heo, Qing Xie, Min Song, Jeong-Hoon Lee:
Combining entity co-occurrence with specialized word embeddings to measure entity relation in Alzheimer's disease. BMC Medical Informatics Decis. Mak. 19-S(5): 5 (2019) - [c65]Reinald Kim Amplayo, Seung-won Hwang, Min Song:
AutoSense Model for Word Sense Induction. AAAI 2019: 6212-6219 - [c64]Reinald Kim Amplayo, Seung-won Hwang, Min Song:
Evaluating Research Novelty Detection: Counterfactual Approaches. TextGraphs@EMNLP 2019: 124-133 - [i4]Chaomei Chen, Min Song:
Visualizing a Field of Research: A Methodology of Systematic Scientometric Reviews. CoRR abs/1906.04800 (2019) - 2018
- [j70]Munui Kim, Seung Han Baek, Min Song:
Relation extraction for biological pathway construction using node2vec. BMC Bioinform. 19-S(8): 75-84 (2018) - [j69]Il-Yeol Song, Min Song, Tatsawan Timakum, Su-Ryeon Ryu, Hanju Lee:
The landscape of smart aging: Topics, applications, and agenda. Data Knowl. Eng. 115: 68-79 (2018) - [j68]Min Song, Munui Kim, Keun-Young Kang, Yong Hwan Kim, Sieun Jeon:
Application of Public Knowledge Discovery Tool (PKDE4J) to Represent Biomedical Scientific Knowledge. Frontiers Res. Metrics Anal. 3: 7 (2018) - [j67]Reinald Kim Amplayo, SuLyn Hong, Min Song:
Network-based approach to detect novelty of scholarly literature. Inf. Sci. 422: 542-557 (2018) - [j66]Reinald Kim Amplayo, Seanie Lee, Min Song:
Incorporating product description to sentiment topic models for improved aspect-based sentiment analysis. Inf. Sci. 454-455: 200-215 (2018) - [j65]Munui Kim, Injun Baek, Min Song:
Topic diffusion analysis of a weighted citation network in biomedical literature. J. Assoc. Inf. Sci. Technol. 69(2): 329-342 (2018) - [j64]Min Song, Keun Young Kang, Juyoung An:
Investigating drug-disease interactions in drug-symptom-disease triples via citation relations. J. Assoc. Inf. Sci. Technol. 69(11): 1355-1368 (2018) - [j63]Chaomei Chen, Min Song, Go Eun Heo:
A scalable and adaptive method for finding semantically equivalent cue words of uncertainty. J. Informetrics 12(1): 158-180 (2018) - [j62]Yanhua Lv, Ying Ding, Min Song, Zhiguang Duan:
Topology-driven trend analysis for drug discovery. J. Informetrics 12(3): 893-905 (2018) - [j61]Erjia Yan, Chaojiang Wu, Min Song:
The funding factor: a cross-disciplinary examination of the association between research funding and citation impact. Scientometrics 115(1): 369-384 (2018) - [c63]Tehmina Amjad, Ali Daud, Min Song:
Measuring the Impact of Topic Drift in Scholarly Networks. WWW (Companion Volume) 2018: 373-378 - [i3]Reinald Kim Amplayo, Seung-won Hwang, Min Song:
AutoSense Model for Word Sense Induction. CoRR abs/1811.09242 (2018) - 2017
- [b1]Chaomei Chen, Min Song:
Representing Scientific Knowledge - The Role of Uncertainty. Springer 2017, ISBN 978-3-319-62541-6, pp. 1-375 - [j60]Go Eun Heo, Keun Young Kang, Min Song, Jeong-Hoon Lee:
Analyzing the field of bioinformatics with the multi-faceted topic modeling technique. BMC Bioinform. 18(7): 45-57 (2017) - [j59]Juyoung An, Sieun Jeon, Teryn K. Jones, Min Song:
Data-driven Pattern Analysis of Acknowledgments in the Biomedical Domain. Data Inf. Manag. 1(1): 35-48 (2017) - [j58]Reinald Kim Amplayo, Min Song:
An adaptable fine-grained sentiment analysis for summarization of multiple short online reviews. Data Knowl. Eng. 110: 54-67 (2017) - [j57]Keeheon Lee, Suyeon Kim, Erin Hea-Jin Kim, Min Song:
Comparative evaluation of bibliometric content networks by tomographic content analysis: An application to Parkinson's disease. J. Assoc. Inf. Sci. Technol. 68(5): 1295-1307 (2017) - [j56]Min Song, Suyeon Kim, Keeheon Lee:
Ensemble analysis of topical journal ranking in bioinformatics. J. Assoc. Inf. Sci. Technol. 68(6): 1564-1583 (2017) - [j55]Juyoung An, Namhee Kim, Min-Yen Kan, Muthu Kumar Chandrasekaran, Min Song:
Exploring characteristics of highly cited authors according to citation location and content. J. Assoc. Inf. Sci. Technol. 68(8): 1975-1988 (2017) - [j54]Xianlei Dong, Jian Xu, Ying Ding, Chenwei Zhang, Kunpeng Zhang, Min Song:
Understanding the Correlations between Social Attention and Topic Trends of Scientific Publications. J. Data Inf. Sci. 1(1): 28-49 (2017) - [j53]Tehmina Amjad, Ying Ding, Jian Xu, Chenwei Zhang, Ali Daud, Jie Tang, Min Song:
Standing on the shoulders of giants. J. Informetrics 11(1): 307-323 (2017) - [j52]Cagatay Catal, Min Song, Can Muratli, Erin Hea-Jin Kim, Mestan Ali Tosuner, Yusuf Kayikci:
Cross-Cultural Personality Prediction based on Twitter Data. J. Softw. 12(11): 882-891 (2017) - [c62]Nees Jan van Eck, Ludo Waltman, Min Song, Yoo Kyung Jeong:
Using full-text data to create improved term maps. ISSI 2017: 1136-1141 - 2016
- [j51]Hyo Jung Jung, Keeheon Lee, Min Song:
Examining Characteristics of Traditional and Twitter Citation. Frontiers Res. Metrics Anal. 1: 6 (2016) - [j50]Jian Xu, Ying Ding, Min Song, Tamy Chambers:
Author credit-assignment schemas: A comparison and analysis. J. Assoc. Inf. Sci. Technol. 67(8): 1973-1989 (2016) - [j49]Erin Hea-Jin Kim, Yoo Kyung Jeong, Yuyoung Kim, Keun Young Kang, Min Song:
Topic-based content and sentiment analysis of Ebola virus on Twitter and in the news. J. Inf. Sci. 42(6): 763-781 (2016) - [j48]Yoo Kyung Jeong, Go Eun Heo, Keun Young Kang, Dong Sup Yoon, Min Song:
Trajectory analysis of drug-research trends in pancreatic cancer on PubMed and ClinicalTrials.gov. J. Informetrics 10(1): 273-285 (2016) - [j47]Hyui Geon Yoon, Hyungjun Kim, Chang Ouk Kim, Min Song:
Opinion polarity detection in Twitter data combining shrinkage regression and topic modeling. J. Informetrics 10(2): 634-644 (2016) - [j46]Ha Jin Kim, Yoo Kyung Jeong, Min Song:
Content- and proximity-based author co-citation analysis using citation sentences. J. Informetrics 10(4): 954-966 (2016) - [j45]Karin M. Verspoor, Go Eun Heo, Keun Young Kang, Min Song:
Establishing a baseline for literature mining human genetic variants and their relationships to disease cohorts. BMC Medical Informatics Decis. Mak. 16(S-1): 68 (2016) - [j44]Yongjun Zhu, Erjia Yan, Min Song:
Understanding the evolving academic landscape of library and information science through faculty hiring data. Scientometrics 108(3): 1461-1478 (2016) - [j43]Keeheon Lee, Hyo Jung Jung, Min Song:
Subject-method topic network analysis in communication studies. Scientometrics 109(3): 1761-1787 (2016) - [c61]Dahee Lee, Won Chul Kim, Min Song:
Exploring perceptual differences of experts and the public on diabetes. BigComp 2016: 3-9 - [c60]Jin-Dong Kim, Yue Wang, Nicola Colic, Seung-Han Baek, Yong Hwan Kim, Min Song:
Refactoring the Genia Event Extraction Shared Task Toward a General Framework for IE-Driven KB Development. BioNLP (Shared Task) 2016: 23-31 - [c59]Reinald Kim Amplayo, Min Song:
Building Content-driven Entity Networks for Scarce Scientific Literature using Content Information. BioTxtM@COLING 2016 2016: 20-29 - [c58]Ha Jin Kim, Juyoung An, Yoo Kyung Jeong, Min Song:
Exploring the Leading Authors and Journals in Major Topics by Citation Sentences and Topic Modeling. BIRNDL@JCDL 2016: 42-50 - 2015
- [j42]Min Song, Yoo Kyung Jeong, Ha Jin Kim:
Identifying the topology of the K-pop video community on YouTube: A combined Co-comment analysis approach. J. Assoc. Inf. Sci. Technol. 66(12): 2580-2595 (2015) - [j41]Min Song, Won Chul Kim, Dahee Lee, Go Eun Heo, Keun Young Kang:
PKDE4J: Entity and relation extraction for public knowledge discovery. J. Biomed. Informatics 57: 320-332 (2015) - [j40]Qi Yu, Ying Ding, Min Song, Sung Jeon Song, Jianhua Liu, Bin Zhang:
Tracing database usage: Detecting main paths in database link networks. J. Informetrics 9(1): 1-15 (2015) - [j39]Min Song, Go Eun Heo, Ying Ding:
SemPathFinder: Semantic path analysis for discovering publicly unknown knowledge. J. Informetrics 9(4): 686-703 (2015) - [j38]Min Song, Erin Hea-Jin Kim, Ha Jin Kim:
Exploring author name disambiguation on PubMed-scale. J. Informetrics 9(4): 924-941 (2015) - [j37]Min Song, Hwanjo Yu, Wook-Shin Han:
Developing a hybrid dictionary-based bio-entity recognition technique. BMC Medical Informatics Decis. Mak. 15-S(S-1): S9 (2015) - [j36]Min Song, Go Eun Heo, Dahee Lee:
Identifying the landscape of Alzheimer's disease research with network and content analysis. Scientometrics 102(1): 905-927 (2015) - [j35]Hoyeop Lee, Jueun Kwak, Min Song, Chang Ouk Kim:
Coherence analysis of research and education using topic modeling. Scientometrics 102(2): 1119-1137 (2015) - [c57]Min Song:
Exploring concept graphs for biomedical literature mining. BigComp 2015: 103-110 - [c56]Karin Verspoor, Go Eun Heo, Keun Young Kang, Min Song:
Extraction of Fine-grained Semantic Relations for the Human Variome. DTMBIO@CIKM 2015: 3 - [c55]Yoo Kyung Jeong, Go Eun Heo, Keun Young Kang, Dong Sup Yoon, Min Song:
Analyzing the Landscape of Anti-Cancer Drug Research in Pancreatic Cancer. DTMBIO@CIKM 2015: 24 - [c54]Go Eun Heo, Keun Young Kang, Min Song:
A Flexible Text Mining System for Entity and Relation Extraction in PubMed. DTMBIO@CIKM 2015: 26 - [c53]Keeheon Lee, Yonghwan Kim, Seung Han Baek, Min Song:
Analyzing Subject-Method Network of Bioinformatics and Biology. DTMBIO@CIKM 2015: 27 - [c52]Min Song, Doheon Lee, Karin Verspoor:
DTMBIO 2015: International Workshop on Data and Text Mining in Biomedical Informatics. CIKM 2015: 1941-1942 - [c51]Erin Hea-Jin Kim, Jung Sun Oh, Min Song:
Exploring Context-Sensitive Query Reformulation in a Biomedical Digital Library. ICADL 2015: 94-106 - [c50]Dahee Lee, Won Chul Kim, Min Song:
Finding the Differences between the Perceptions of Experts and the Public in the Field of Diabetes. WWW (Companion Volume) 2015: 57-58 - [e7]Doheon Lee, Min Song, Karin Verspoor:
Proceedings of the ACM Ninth International Workshop on Data and Text Mining in Biomedical Informatics, DTMBIO 2015, Melbourne, Australia, October 23, 2015. ACM 2015, ISBN 978-1-4503-3787-8 [contents] - 2014
- [j34]Alex Rudniy, Min Song, James Geller:
Mapping biological entities using the Longest Approximately Common Prefix method. BMC Bioinform. 15: 187 (2014) - [j33]Min Song, Meen Chul Kim, Yoo Kyung Jeong:
Analyzing the Political Landscape of 2012 Korean Presidential Election in Twitter. IEEE Intell. Syst. 29(2): 18-26 (2014) - [j32]Min Song, Suyeon Kim, Guo Zhang, Ying Ding, Tamy Chambers:
Productivity and influence in bioinformatics: A bibliometric analysis using PubMed central. J. Assoc. Inf. Sci. Technol. 65(2): 352-371 (2014) - [j31]Ying Ding, Guo Zhang, Tamy Chambers, Min Song, Xiaolong Wang, Chengxiang Zhai:
Content-based citation analysis: The next generation of citation analysis. J. Assoc. Inf. Sci. Technol. 65(9): 1820-1833 (2014) - [j30]Yonghwan Kim, Dahee Lee, Namgi Han, Min Song:
Exploring characteristics of video consuming behaviour in different social media using K-pop videos. J. Inf. Sci. 40(6): 806-822 (2014) - [j29]Yoo Kyung Jeong, Min Song, Ying Ding:
Content-based author co-citation analysis. J. Informetrics 8(1): 197-211 (2014) - [j28]Do-Heon Jeong, Min Song:
Time gap analysis by the topic model-based temporal technique. J. Informetrics 8(3): 776-790 (2014) - [j27]Meen Chul Kim, Yoo Kyung Jeong, Min Song:
Investigating the integrated landscape of the intellectual topology of bioinformatics. Scientometrics 101(1): 309-335 (2014) - [j26]Min Song, Go Eun Heo, Suyeon Kim:
Analyzing topic evolution in bioinformatics: investigation of dynamics of the field with conference data in DBLP. Scientometrics 101(1): 397-428 (2014) - [c49]Yoo Kyung Jeong, Dahee Lee, Namgi Han, Won Chul Kim, Min Song:
Biomedical Named Entity Recognition Based on the Combination of Regional and Global Text Features. DTMBIO@CIKM 2014: 5 - [c48]Sung Jeon Song, Go Eun Heo, Ha Jin Kim, Hyo Jung Jung, Yonghwan Kim, Min Song:
Grounded Feature Selection for Biomedical Relation Extraction by the Combinative Approach. DTMBIO@CIKM 2014: 29-32 - [c47]Yoo Kyung Jeong, Dahee Lee, Min Song:
An Exploration of the Collaborative Networks for Clinical and Academic Domains in AIDS Research: A Spatial Scientometric Approach. DTMBIO@CIKM 2014: 33 - [c46]Hea-Jin Kim, Sung Jeon Song, Yonghwan Kim, Min Song:
A Display of Conceptual Structures in the Epidemiologic Literature. DTMBIO@CIKM 2014: 35 - [c45]Go Eun Heo, Keeheon Lee, Min Song:
Inferring Undiscovered Public Knowledge by Using Text Mining-driven Graph Model. DTMBIO@CIKM 2014: 37 - [c44]Luonan Chen, Doheon Lee, Hua Xu, Min Song:
DTMBIO 2014: International Workshop on Data and Text Mining in Biomedical Informatics. CIKM 2014: 2090-2091 - [c43]Yonghwan Kim, Dahee Lee, Jung Eun Hahm, Namgi Han, Min Song:
Investigating socio-cultural behavior of users reflected in different social channels on K-pop. WWW (Companion Volume) 2014: 325-326 - [e6]Doheon Lee, Luonan Chen, Min Song, Hua Xu:
Proceedings of the ACM 8th International Workshop on Data and Text Mining in Bioinformatics, DTMBIO@CIKM 2014, Shanghai, China, November 7, 2014. ACM 2014, ISBN 978-1-4503-1275-2 [contents] - 2013
- [j25]Said Bleik, Wei Xiong, Min Song:
Enhancing biomedical concept extraction using semantic relationship weights. Int. J. Data Min. Bioinform. 7(3): 303-321 (2013) - [j24]Jung Eun Hahm, Suyeon Kim, Meen Chul Kim, Min Song:
Investigation into the existence of the indexer effect in key phrase extraction. Inf. Res. 18(4) (2013) - [j23]Xuning Tang, Christopher C. Yang, Min Song:
Understanding the evolution of multiple scientific research domains using a content and network approach. J. Assoc. Inf. Sci. Technol. 64(5): 1065-1075 (2013) - [j22]Shuyuan Mary Ho, Michael Bieber, Min Song, Xiangmin Zhang:
Seeking beyond with IntegraL: A user study of sense-making enabled by anchor-based virtual integration of library systems. J. Assoc. Inf. Sci. Technol. 64(9): 1927-1945 (2013) - [j21]Jaejoon Choi, Kwangmin Kim, Min Song, Doheon Lee:
Generation and application of drug indication inference models using typed network motif comparison analysis. BMC Medical Informatics Decis. Mak. 13(S-1): S2 (2013) - [j20]Min Song, Suyeon Kim:
Detecting the knowledge structure of bioinformatics by mining full-text collections. Scientometrics 96(1): 183-201 (2013) - [j19]Said Bleik, Meenakshi Mishra, Jun Huan, Min Song:
Text Categorization of Biomedical Data Sets Using Graph Kernels and a Controlled Vocabulary. IEEE ACM Trans. Comput. Biol. Bioinform. 10(5): 1211-1217 (2013) - [c42]Yonghui Wu, Joshua C. Denny, S. Trent Rosenbloom, Randolph A. Miller, Dario A. Giuse, Min Song, Hua Xu:
A prototype application for real-time recognition and disambiguation of clinical abbreviations. DTMBIO 2013: 7-8 - [c41]Min Song, Wook-Shin Han, Hwanjo Yu:
BoDBES: a boosted dictionary-based biomedical entity spotter. DTMBIO 2013: 21-22 - [c40]Xiaozhong Liu, Miao Chen, Ying Ding, Min Song:
Workshop summary for the 2013 international workshop on mining unstructured big data using natural language processing. CIKM 2013: 2547-2548 - [c39]Atul J. Butte, Doheon Lee, Hua Xu, Min Song:
DTMBIO 2013: international workshop on data and text mining in biomedical informatics. CIKM 2013: 2555-2556 - [c38]Min Song, Meen Chul Kim:
RT^2M: Real-Time Twitter Trend Mining System. SOCIETY 2013: 64-71 - [c37]Hea-Jin Kim, Min Song:
An Ontology-Based Approach to Sentiment Classification of Mixed Opinions in Online Restaurant Reviews. SocInfo 2013: 95-108 - [e5]Atul J. Butte, Doheon Kim, Min Song, Hua Xu:
Proceeding of the 7rd International Workshop on Data and Text Mining in Bioinformatics, DTMBIO 2013, San Francisco, CA, USA, November 1, 2013. ACM 2013, ISBN 978-1-4503-2419-9 [contents] - [e4]Xiaozhong Liu, Miao Chen, Ying Ding, Min Song:
Proceedings of the 2013 international workshop on Mining unstructured big data using natural language processing, UnstructureNLP@CIKM 2013, San Francisco, California, USA, October 28, 2013. ACM 2013, ISBN 978-1-4503-2415-1 [contents] - [i2]Ying Ding, Min Song, Jia Han, Qi Yu, Erjia Yan, Lili Lin, Tamy Chambers:
Entitymetrics: Measuring the Impact of Entities. CoRR abs/1309.2486 (2013) - 2012
- [j18]Sejoon Lee, Jaejoon Choi, Kyunghyun Park, Min Song, Doheon Lee:
Discovering context-specific relationships from biological literature by using multi-level context terms. BMC Medical Informatics Decis. Mak. 12(S-1): S1 (2012) - [c36]Min Song, Christopher C. Yang, Xuning Tang, Wook-Shin Han:
Mapping the field of Bioinformatics with a content and co-authorship analysis. BIBM Workshops 2012: 774-781 - [c35]Min Song:
Session details: Mining biological data and text. DTMBIO@CIKM 2012: 1 - [c34]Jaejoon Choi, Kwangmin Kim, Min Song, Doheon Lee:
TNMCA: generation and application of network motif based inference models for drug repositioning. DTMBIO@CIKM 2012: 61-68 - [c33]Min Song, Doheon Lee, Hua Xu, Sophia Ananiadou:
DTMBIO 2012: international workshop on data and text mining in biomedical informatics. CIKM 2012: 2766-2767 - [c32]Guanglin Xu, Min Song, Jiali Feng:
Research on multi-agent comprehensive evaluation model based on attribute coordinate. GrC 2012: 556-562 - [c31]Christopher C. Yang, Xuning Tang, Min Song, Suyeon Kim:
A Trend Analysis of Domain-Specific Literatures with Content and Co-author Network Similarity. ICADL 2012: 73-76 - [c30]Lori Watrous-deVersterre, Chong Wang, Min Song:
Concept chaining utilizing meronyms in text characterization. JCDL 2012: 241-248 - [c29]Prat Tanapaisankit, Lori Watrous-deVersterre, Min Song:
Personalized query expansion in the QIC system. JCDL 2012: 259-262 - [c28]Christopher Markson, Min Song:
A technique for suggesting related Wikipedia articles using link analysis. JCDL 2012: 345-346 - [c27]Meenakshi Mishra, Jun Huan, Said Bleik, Min Song:
Biomedical text categorization with concept graph representations using a controlled vocabulary. BIOKDD 2012: 26-32 - [e3]Doheon Kim, Sophia Ananiadou, Min Song, Hua Xu:
Proceedings of the ACM sixth international workshop on Data and text mining in biomedical informatics, DTMBIO@CIKM 2012, Maui, Hawaii, USA, October 29, 2012. ACM 2012, ISBN 978-1-4503-1716-0 [contents] - 2011
- [j17]Min Song, Hwanjo Yu, Wook-Shin Han:
Combining active learning and semi-supervised learning techniques to extract protein interaction sentences. BMC Bioinform. 12(S-12): S4 (2011) - [j16]Sejoon Lee, Kwang H. Lee, Min Song, Doheon Lee:
Building the process-drug-side effect network to discover the relationship between biological Processes and side effects. BMC Bioinform. 12(S-2): S2 (2011) - [j15]Yanliang Qi, Min Song, Suk-Chung Yoon, Lori Watrous-deVersterre:
Combining Supervised Learning Techniques to Key-Phrase Extraction for Biomedical Full-Text. Int. J. Intell. Inf. Technol. 7(1): 33-44 (2011) - [c26]Min Song, Said Bleik, Hwanjo Yu, Wook-Shin Han:
Extracting biomedical concepts from fulltext by relative importance in a graph model. BIBM Workshops 2011: 586-593 - [c25]Sophia Ananiadou, Doheon Lee, Shamkant B. Navathe, Min Song:
DTMBIO 2011: international workshop on data and textmining in biomedical informatics. CIKM 2011: 2617-2618 - [c24]Jinoh Oh, Sun Park, Hwanjo Yu, Min Song, Seung-Taek Park:
Novel Recommendation Based on Personal Popularity Tendency. ICDM 2011: 507-516 - [c23]Prat Tanapaisankit, Min Song, Edward A. Fox:
Developing a concept extraction technique with ensemble pathway. JCDL 2011: 405-406 - [p1]Min Song, Xiaohua Hu, Illhoi Yoo, Eric Koppel:
A Dynamic and Semantically-Aware Technique for Document Clustering in Biomedical Literature. Integrations of Data Warehousing, Data Mining and Database Technologies 2011: 307-319 - 2010
- [j14]Ali Zeeshan Ijaz, Min Song, Doheon Lee:
MKEM: a Multi-level Knowledge Emergence Model for mining undiscovered public knowledge. BMC Bioinform. 11(S-2): 3 (2010) - [j13]Alex Rudniy, Min Song, James Geller:
Detecting duplicate biological entities using Shortest Path Edit Distance. Int. J. Data Min. Bioinform. 4(4): 395-410 (2010) - [j12]Min Song, Hongfang Liu:
LFXtractor: Text chunking for long form detection from biomedical text. Int. J. Funct. Informatics Pers. Medicine 3(2): 89-102 (2010) - [j11]Li Zhang, Michael Bieber, Min Song, Vincent Oria, David E. Millard:
Supplementing virtual documents with just-in-time hypermedia functionality. Int. J. Digit. Libr. 11(3): 155-168 (2010) - [j10]Min Song, Alex Rudniy:
Detecting duplicate biological entities using Markov random field-based edit distance. Knowl. Inf. Syst. 25(2): 371-387 (2010) - [c22]Alex Rudniy, Min Song, James Geller:
Shortest path edit distance for detecting duplicate biological entities. BCB 2010: 442-444 - [c21]Said Bleik, Wei Xiong, Yiran Wang, Min Song:
Biomedical concept extraction using concept graphs and ontology-based mapping. BIBM 2010: 553-556 - [c20]Hagit Shatkay, Doheon Lee, Min Song, Shamkant B. Navathe:
DTMBIO workshop summary. CIKM 2010: 1971-1972 - [c19]Wei Xiong, Min Song, Lori Watrous-deVersterre:
A Quantitative Assessment of SENSATIONAL with an Exploration of Its Applications. FLAIRS 2010 - [i1]Shuyuan Mary Ho, Min Song, Michael Bieber:
IntegraL Connects Data, User and Scientists. IASSIST 2010
2000 – 2009
- 2009
- [j9]Weisi Duan, Min Song, Alexander Yates:
Fast max-margin clustering for unsupervised word sense disambiguation in biomedical texts. BMC Bioinform. 10(S-3) (2009) - [j8]Min Song, Xiaohua Hu, Illhoi Yoo, Eric Koppel:
A Dynamic and Semantically-Aware Technique for Document Clustering in Biomedical Literature. Int. J. Data Warehous. Min. 5(4): 44-57 (2009) - [c18]Ali Zeeshan Ijaz, Min Song, Doheon Lee:
MKEM: a multi-level knowledge emergence model for mining undiscovered public knowledge. DTMBIO 2009: 51-58 - [c17]Jeremias Murillo, Min Song:
An outcome discovery system to determine mortality factors in primary care facilities. DTMBIO 2009: 95-96 - [e2]Doheon Lee, Russ B. Altman, Min Song, Jun Huan:
Proceeding of the 3rd International Workshop on Data and Text Mining in Bioinformatics, DTMBIO 2009, Hong Kong, China, November 6, 2009. ACM 2009, ISBN 978-1-60558-803-2 [contents] - [r2]Monica Maceli, Min Song:
Deep Web Mining through Web Services. Encyclopedia of Data Warehousing and Mining 2009: 631-637 - [r1]Megan Chenoweth, Min Song:
Text Categorization. Encyclopedia of Data Warehousing and Mining 2009: 1936-1941 - 2008
- [j7]Illhoi Yoo, Min Song:
Biomedical Ontologies and Text Mining for Biomedicine and Healthcare: A Survey. J. Comput. Sci. Eng. 2(2): 109-136 (2008) - [j6]Min Song, Illhoi Yoo:
Preface for the special issue on Knowledge Discovery and Management in Health Informatics. J. Comput. Sci. Eng. 2(2): 161-161 (2008) - [c16]Min Song, Alex Rudniy:
Detecting Duplicate Biological Entities Using Markov Random Field-Based Edit Distance. BIBM 2008: 457-460 - [c15]Min Song, Xiaohua Hu, Illhoi Yoo, Eric Koppel:
Document Clustering by Semantic Smoothing and Dynamic Growing Cell Structure (DynGCS) for Biomedical Literature. DaWaK 2008: 217-226 - [c14]Min Song, Michael Bieber:
IntegraL: Lightweight Link-Based Integration of Heterogeneous Digital Library Collections and Services in the Deep Web. CEC/EEE 2008: 369-375 - [e1]Min Song, Doheon Kim, Luke Huan:
Proceeding of the 2nd International Workshop on Data and Text Mining in Bioinformatics, DTMBIO 2008, Napa Valley, California, USA, October 30, 2008. ACM 2008, ISBN 978-1-60558-251-1 [contents] - 2007
- [j5]Manabu Torii, Zhang-Zhi Hu, Min Song, Cathy H. Wu, Hongfang Liu:
A comparison study on algorithms of detecting long forms for short forms in biomedical text. BMC Bioinform. 8(S-9) (2007) - [j4]Min Song, Il-Yeol Song, Xiaohua Hu, Robert B. Allen:
Integration of association rules and ontologies for semantic query expansion. Data Knowl. Eng. 63(1): 63-75 (2007) - [c13]Min Song, Illhoi Yoo:
A Hybrid Abbreviation Extraction Technique for Biomedical Literature. BIBM 2007: 42-47 - 2006
- [j3]Xiaohua Hu, Tsau Young Lin, Il-Yeol Song, Illhoi Yoo, Min Song:
A semi-supervised efficient learning approach to extract biological relationships from web-based biomedical digital library. Web Intell. Agent Syst. 4(3): 327-339 (2006) - [c12]Min Song, Il-Yeol Song, Ki Jung Lee:
Automatic Extraction for Creating a Lexical Repository of Abbreviations in the Biomedical Literature. DaWaK 2006: 384-393 - [c11]Min Song, Il-Yeol Song, Robert B. Allen, Zoran Obradovic:
Keyphrase extraction-based query expansion in digital libraries. JCDL 2006: 202-209 - 2005
- [j2]Min Song, Il-Yeol Song, Xiaohua Hu, Robert B. Allen:
KXtractor: An Effective Biomedical Information Extraction Technique Based on Mixture Hidden Markov Models. Trans. Comp. Sys. Biology 2: 68-81 (2005) - [c10]Xiaohua Hu, Illhoi Yoo, Min Song, Yanqing Zhang, Il-Yeol Song:
Mining undiscovered public knowledge from complementary and non-interactive biomedical literature through semantic pruning. CIKM 2005: 249-250 - [c9]Min Song, Il-Yeol Song, Xiaohua Hu, Robert B. Allen:
Semantic Query Expansion Combining Association Rules with Ontologies and Information Retrieval Techniques. DaWaK 2005: 326-335 - [c8]Min Song, Il-Yeol Song, Xiaohua Hu, Robert B. Allen:
Integrating Text Chunking with Mixture Hidden Markov Models for Effective Biomedical Information Extraction. International Conference on Computational Science (2) 2005: 976-984 - [c7]Min Song, Il-Yeol Song, Xiaohua Hu, Robert B. Allen:
An Automatic Unsupervised Querying Algorithm for Efficient Information Extraction in Biomedical Domain. PAKDD 2005: 173-179 - [c6]Weizhong Zhu, Robert B. Allen, Min Song:
TREC 2005 Enterprise Track Results from Drexel. TREC 2005 - 2004
- [j1]Min Song, Il-Yeol Song, Peter P. Chen:
Design and Development of a Cross Search Engine for Multiple Heterogeneous Databases Using UML and Design Patterns. Inf. Syst. Frontiers 6(1): 77-90 (2004) - [c5]Min Song, Il-Yeol Song, Xiaohua Hu:
Designing and developing an automatic interactive keyphrase extraction system with Unified Modeling Language (UML). ASIST 2004: 367-372 - [c4]Xiaohua Hu, Illhoi Yoo, Il-Yeol Song, Min Song, Jianchao Han, Mark Lechner:
Extracting and mining protein-protein interaction network from biomedical literature. CIBCB 2004: 244-251 - [c3]Xiaohua Hu, Tsau Young Lin, Il-Yeol Song, Xia Lin, Illhoi Yoo, Mark Lechner, Min Song:
Ontology-Based Scalable and Portable Information Extraction System to Extract Biological Knowledge from Huge Collection of Biomedical Web Documents. Web Intelligence 2004: 77-83 - 2003
- [c2]Min Song, Il-Yeol Song, Xiaohua Hu:
KPSpotter: a flexible information gain-based keyphrase extraction system. WIDM 2003: 50-53 - 2002
- [c1]Min Song, Xia Lin:
Interactive visualization system with multidimensional scaling. ASIST 2002: 562-563
Coauthor Index
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