default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDWei Wu 0010
Person information
- affiliation: Dalian University of Technology, School of Mathematical Sciences, China
- affiliation (PhD 1987): Oxford University, UK
Other persons with the same name
- Wei Wu — disambiguation page
- Wei Wu 0001
![[0000-0003-0343-4632]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-0343-4632")
— Fujian Normal University, School of Mathematics and Computer Science, Fuzhou, China (and 1 more) - Wei Wu 0002 — Sichuan University, College of Electronics and Information Engineering, Chengdu, China
- Wei Wu 0003 — Chinese Academy of Sciences, Institute of Automation, Beijing, China (and 3 more)
- Wei Wu 0004 — University of Texas at San Antonio, TX, USA
- Wei Wu 0005 — Nanjing University of Posts and Telecommunications, College of Telecommunications and Information Engineering, Nanjing, China (and 1 more)
- Wei Wu 0006 — Florida State University, Department of Statistics, Tallahassee, FL, USA
- Wei Wu 0007 — Hainan University, College of Information Science and Technology, Haikou, China (and 1 more)
- Wei Wu 0008 — Beihang University, State Key Lab of Virtual Reality Technology and Systems, Beijing, China (and 1 more)
- Wei Wu 0009 — Changsha University of Science and Technology, School of Traffic and Transportation Engineering, China
- Wei Wu 0011 — Central South University, School of Computer Science and Engineering, Changsha, China (and 2 more)
- Wei Wu 0012 — Beijing Institute of Technology, School of Mechanical Engineering, National Key Laboratory of Vehicular Transmission, China
- Wei Wu 0013 — Naval University of Engineering, College of Weaponry Engineering, Wuhan, China (and 1 more)
- Wei Wu 0014 — Meituan Inc, Beijing, China (and 2 more)
- Wei Wu 0015 — National University of Defense Technology, School of Electronic Science, Changsha, China
- Wei Wu 0016 — Los Alamos National Laboratory, NM, USA (and 2 more)
- Wei Wu 0017 — Seikei University, Tokyo, Japan (and 1 more)
- Wei Wu 0018 — Jilin University, School of Communication Engineering, Changchun, China (and 1 more)
- Wei Wu 0019 — Xidian University, State Key Laboratory of Integrated Services Networks, Xi'an, China
- Wei Wu 0020 — Visa Inc, Singapore (and 2 more)
- Wei Wu 0021 — SenseTime Group Ltd, Urban Computing Group, China
- Wei Wu 0022 — South China University of Technology, College of Automation Science and Engineering, Guangzhou, China (and 2 more)
- Wei Wu 0023 — Carnegie Mellon University, School of Computer Science, Computational Biology Department, Pittsburgh, PA, USA (and 2 more)
- Wei Wu 0024 — Intel Research Laboratory, Hillsboro, OR, USA (and 1 more)
- Wei Wu 0025 — National Cancer Institute, Rockville, MD, USA (and 1 more)
- Wei Wu 0026 — Tongji University, CMIS Research Center, Shanghai, China
- Wei Wu 0027 — 54th Research Institute of China Electronics Technology Group Corporation, China (and 1 more)
- Wei Wu 0028 — University of California San Diego, Center for Memory and Recording Research, La Jolla, CA, USA
- Wei Wu 0029 — Zhejiang University of Technology, College of Computer Science and Technology, Hangzhou, China (and 1 more)
- Wei Wu 0030 — Xiamen University, Department of Chemistry, China
- Wei Wu 0031 — Liaoning University of Technology, College of Science, China
- Wei Wu 0032 — Inner Mongolia University, School of Computer Science, Huhhot, China
- Wei Wu 0033 — Beijing University of Posts and Telecommunications, Beijing Laboratory of Advanced Information Network / Beijing Key Laboratory of Network System Architecture and Convergence, China
- Wei Wu 0034 — Qingdao Agricultural University, College of Food Science and Engineering, China
- Wei Wu 0036 — Nanjing University of Posts and Telecommunications, College of Telecommunication and Information Engineering, MOE Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, China
- Wei Wu 0037 — Chinese Academy of Sciences, Changchun Institute of Applied Chemistry, State Key Laboratory of Electroanalytical Chemistry, China
- Wei Wu 0038 — Southeast University, School of Instrument Science and Engineering, Nanjing, China
- Wei Wu 0039 — Lanzhou Jiaotong University, School of Electronic and Information Engineering, China
- Wei Wu 0041 — University of Hong Kong, Department of Industrial and Manufacturing Systems Engineering, Hong Kong
- Wei Wu 0042 — Peking University, Key Laboratory of High Confidence Software Technologies of Ministry of Education, Beijing, China (and 1 more)
- Wei Wu 0043 — University of Technology, Austin, USA
- Wei Wu 0044 — ShannonAI (and 1 more)
- Wei Wu 0045 — University of Science and Technology of China, School of Artificial Intelligence and Data Science, School of Data Science, Hefei, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j58]Bingjie Zhang, Jian Wang, Chao Zhang, Jie Yang, Tufan Kumbasar, Wei Wu:
Zero-order fuzzy neural network with adaptive fuzzy partition and its applications on high-dimensional problems. Neurocomputing 569: 127118 (2024)- 2023
- [j57]Fang Liu, Witold Pedrycz, Chao Zhang, Jie Yang, Wei Wu:
Coding Method Based on Fuzzy C-Means Clustering for Spiking Neural Network With Triangular Spike Response Function. IEEE Trans. Fuzzy Syst. 31(12): 4235-4248 (2023) - [i4]Chao Zhang, Xinyu Chen, Wensheng Li, Lixue Liu, Wei Wu, Dacheng Tao:
Understanding Deep Neural Networks via Linear Separability of Hidden Layers. CoRR abs/2307.13962 (2023) - 2022
- [j56]Bingjie Zhang, Xiaoling Gong, Jian Wang, Fengzhen Tang, Kai Zhang, Wei Wu:
Nonstationary fuzzy neural network based on FCMnet clustering and a modified CG method with Armijo-type rule. Inf. Sci. 608: 313-338 (2022) - [j55]Tingting Pan, Witold Pedrycz, Jie Yang, Wei Wu, Yulin Zhang:
A new classifier for imbalanced data with iterative learning process and ensemble operating process. Knowl. Based Syst. 249: 108966 (2022) - [j54]Fang Liu, Jie Yang, Witold Pedrycz, Wei Wu:
A New Fuzzy Spiking Neural Network Based on Neuronal Contribution Degree. IEEE Trans. Fuzzy Syst. 30(7): 2665-2677 (2022) - [j53]Junhong Zhao, Jie Yang, Jun Wang, Wei Wu:
Spiking Neural Network Regularization With Fixed and Adaptive Drop-Keep Probabilities. IEEE Trans. Neural Networks Learn. Syst. 33(8): 4096-4109 (2022) - 2020
- [j52]Tingting Pan, Junhong Zhao, Wei Wu, Jie Yang:
Learning imbalanced datasets based on SMOTE and Gaussian distribution. Inf. Sci. 512: 1214-1233 (2020) - [j51]Sibo Yang, Chao Zhang, Yuan Bao, Jie Yang, Wei Wu:
Binary Output Layer of Extreme Learning Machine for Solving Multi-class Classification Problems. Neural Process. Lett. 52(1): 153-167 (2020)
2010 – 2019
- 2019
- [j50]Sibo Yang, Chao Zhang, Wei Wu:
Binary Output Layer of Feedforward Neural Networks for Solving Multi-Class Classification Problems. IEEE Access 7: 5085-5094 (2019) - [j49]Habtamu Zegeye Alemu, Junhong Zhao, Feng Li, Wei Wu:
Group L1/2 Regularization for Pruning Hidden Layer Nodes of Feedforward Neural Networks. IEEE Access 7: 9540-9557 (2019) - [j48]Junhong Zhao, Maolin Shi, Gang Hu, Xueguan Song, Chao Zhang, Dacheng Tao, Wei Wu:
A Data-Driven Framework for Tunnel Geological-Type Prediction Based on TBM Operating Data. IEEE Access 7: 66703-66713 (2019) - [j47]Yan Wang, Wei Wu, Chao Zhang, Xinyu Xing, Xiaorui Gong, Wei Zou:
From proof-of-concept to exploitable. Cybersecur. 2(1): 12 (2019) - [j46]Feng Li, Jie Yang, Mingchen Yao, Sibo Yang, Wei Wu:
Extreme learning machine with local connections. Neurocomputing 368: 146-152 (2019) - [j45]Chun Hua, Feng Li, Chao Zhang, Jie Yang, Wei Wu:
A Genetic XK-Means Algorithm with Empty Cluster Reassignment. Symmetry 11(6): 744 (2019) - [j44]Baohua Li, Huchuan Lu, Ying Zhang, Zhouchen Lin, Wei Wu:
Subspace Clustering Under Complex Noise. IEEE Trans. Circuits Syst. Video Technol. 29(4): 930-940 (2019) - 2018
- [j43]Feng Li, Jacek M. Zurada, Wei Wu:
Smooth group L1/2 regularization for input layer of feedforward neural networks. Neurocomputing 314: 109-119 (2018) - [j42]Junhong Zhao, Jacek M. Zurada, Jie Yang, Wei Wu:
The convergence analysis of SpikeProp algorithm with smoothing L1∕2 regularization. Neural Networks 103: 19-28 (2018) - [j41]Wenyu Li, Yan Liu, Jie Yang, Wei Wu:
A New Conjugate Gradient Method with Smoothing L1/2 Regularization Based on a Modified Secant Equation for Training Neural Networks. Neural Process. Lett. 48(2): 955-978 (2018) - [j40]Yanpeng Qu, Changjing Shang, Neil Mac Parthaláin, Wei Wu, Qiang Shen:
Multi-functional nearest-neighbour classification. Soft Comput. 22(8): 2717-2730 (2018) - [j39]Habtamu Zegeye Alemu, Wei Wu, Junhong Zhao:
Feedforward Neural Networks with a Hidden Layer Regularization Method. Symmetry 10(10): 525 (2018) - [j38]Baohua Li, Huchuan Lu, Fu Li, Wei Wu:
Subspace Clustering With K-Support Norm. IEEE Trans. Circuits Syst. Video Technol. 28(2): 302-313 (2018) - [i3]Feng Li, Sibo Yang, Huanhuan Huang, Wei Wu:
Extreme Learning Machine with Local Connections. CoRR abs/1801.06975 (2018) - [i2]Sibo Yang, Chao Zhang, Wei Wu:
Binary output layer of feedforward neural networks for solving multi-class classification problems. CoRR abs/1801.07599 (2018) - [i1]Feng Li, Yan Liu, Khidir Shaib Mohamed, Wei Wu:
A Modified Sigma-Pi-Sigma Neural Network with Adaptive Choice of Multinomials. CoRR abs/1802.00123 (2018) - 2017
- [j37]Feng Li, Jacek M. Zurada, Yan Liu, Wei Wu:
Input Layer Regularization of Multilayer Feedforward Neural Networks. IEEE Access 5: 10979-10985 (2017) - [j36]Ye-tian Fan, Xiwei Tang, Xiaohua Hu, Wei Wu, Qing Ping:
Prediction of essential proteins based on subcellular localization and gene expression correlation. BMC Bioinform. 18(S-13): 13-21 (2017) - [c22]Baohua Li, Wei Wu:
Subspace Clustering Under Multiplicative Noise Corruption. IScIDE 2017: 461-470 - 2016
- [j35]Dakun Yang, Zhengxue Li, Wei Wu:
Extreme learning machine for interval neural networks. Neural Comput. Appl. 27(1): 3-8 (2016) - [c21]Ye-tian Fan, Xiaohua Hu, Xiwei Tang, Qing Ping, Wei Wu:
A novel algorithm for identifying essential proteins by integrating subcellular localization. BIBM 2016: 107-110 - 2015
- [j34]Atlas Khan, Li Zheng Xue, Wei Wu, Yanpeng Qu, Amir Hussain, Ricardo Z. N. Vêncio:
Convergence Analysis of a New Self Organizing Map Based Optimization (SOMO) Algorithm. Cogn. Comput. 7(4): 477-486 (2015) - [j33]Yanpeng Qu, Changjing Shang, Qiang Shen, Neil Mac Parthaláin, Wei Wu:
Kernel-based Fuzzy-rough Nearest-neighbour Classification for Mammographic Risk Analysis. Int. J. Fuzzy Syst. 17(3): 471-483 (2015) - [j32]Yan Liu, Zhengxue Li, Dakun Yang, Kh. Sh. Mohamed, Jing Wang, Wei Wu:
Convergence of batch gradient learning algorithm with smoothing L1/2 regularization for Sigma-Pi-Sigma neural networks. Neurocomputing 151: 333-341 (2015) - [j31]Dakun Yang, Zhengxue Li, Yan Liu, Huisheng Zhang, Wei Wu:
A Modified Learning Algorithm for Interval Perceptrons with Interval Weights. Neural Process. Lett. 42(2): 381-396 (2015) - [j30]Yetian Fan, Wei Wu, Jie Yang, Wenyu Yang, Rongrong Liu:
An Algorithm for Motif Discovery with Iteration on Lengths of Motifs. IEEE ACM Trans. Comput. Biol. Bioinform. 12(1): 136-141 (2015) - [c20]Yetian Fan, Xingpeng Jiang, Xiaohua Hu, Bo Song, Yuan Ling, Wei Wu:
A novel dimensionality reduction algorithm based on Laplace matrix for microbiome data analysis. BIBM 2015: 49-54 - 2014
- [j29]Atlas Khan, Jie Yang, Wei Wu:
Double parallel feedforward neural network based on extreme learning machine with L1/2 regularizer. Neurocomputing 128: 113-118 (2014) - [j28]Qin-wei Fan, Jacek M. Zurada, Wei Wu:
Convergence of online gradient method for feedforward neural networks with smoothing L1/2 regularization penalty. Neurocomputing 131: 208-216 (2014) - [j27]Yan Liu, Wei Wu, Qin-wei Fan, Dakun Yang, Jian Wang:
A modified gradient learning algorithm with smoothing L1/2 regularization for Takagi-Sugeno fuzzy models. Neurocomputing 138: 229-237 (2014) - [j26]Ye-tian Fan, Wei Wu, Wenyu Yang, Qin-wei Fan, Jian Wang:
A pruning algorithm with L 1/2 regularizer for extreme learning machine. J. Zhejiang Univ. Sci. C 15(2): 119-125 (2014) - [j25]Wei Wu, Qin-wei Fan, Jacek M. Zurada, Jian Wang, Dakun Yang, Yan Liu:
Batch gradient method with smoothing L1/2 regularization for training of feedforward neural networks. Neural Networks 50: 72-78 (2014) - 2013
- [j24]Yanpeng Qu, Qiang Shen, Neil Mac Parthaláin, Changjing Shang, Wei Wu:
Fuzzy similarity-based nearest-neighbour classification as alternatives to their fuzzy-rough parallels. Int. J. Approx. Reason. 54(1): 184-195 (2013) - [j23]Yanpeng Qu, Changjing Shang, Jie Yang, Wei Wu, Qiang Shen:
Modified gradient-based learning for local coupled feedforward neural networks with Gaussian basis function. Neural Comput. Appl. 22(Supplement-1): 379-394 (2013) - [c19]Qilin Sun, Yan Liu, Zhengxue Li, Sibo Yang, Wei Wu, Jiuwu Jin:
The Binary Output Units of Neural Network. ISNN (1) 2013: 250-257 - 2012
- [j22]Jie Yang, Wenyu Yang, Wei Wu:
A remark on the error-backpropagation learning algorithm for spiking neural networks. Appl. Math. Lett. 25(8): 1118-1120 (2012) - [j21]Huisheng Zhang, Wei Wu, Mingchen Yao:
Boundedness and convergence of batch back-propagation algorithm with penalty for feedforward neural networks. Neurocomputing 89: 141-146 (2012) - [j20]Yan Liu, Jie Yang, Long Li, Wei Wu:
Negative effects of sufficiently small initialweights on back-propagation neural networks. J. Zhejiang Univ. Sci. C 13(8): 585-592 (2012) - [j19]Jian Wang, Wei Wu, Jacek M. Zurada:
Computational properties and convergence analysis of BPNN for cyclic and almost cyclic learning with penalty. Neural Networks 33: 127-135 (2012) - [j18]Wenyu Yang, Jie Yang, Wei Wu:
A Modified Spiking Neuron that Involves Derivative of the State Function at Firing Time. Neural Process. Lett. 36(2): 135-144 (2012) - [c18]Wenyu Yang, Jie Yang, Wei Wu:
A Modified One-Layer Spiking Neural Network Involves Derivative of the State Function at Firing Time. ISNN (1) 2012: 149-158 - [c17]Jian Wang, Wei Wu, Jacek M. Zurada:
Computational Properties of Cyclic and Almost-Cyclic Learning with Momentum for Feedforward Neural Networks. ISNN (1) 2012: 545-554 - [c16]Wei Wu, Atlas Khan:
MaxMin-SOMO: An SOM Optimization Algorithm for Simultaneously Finding Maximum and Minimum of a Function. ISNN (1) 2012: 598-606 - 2011
- [j17]Jian Wang, Wei Wu, Jacek M. Zurada:
Deterministic convergence of conjugate gradient method for feedforward neural networks. Neurocomputing 74(14-15): 2368-2376 (2011) - [j16]Wei Wu, Jian Wang, Mingsong Cheng, Zhengxue Li:
Convergence analysis of online gradient method for BP neural networks. Neural Networks 24(1): 91-98 (2011) - [j15]Chao Zhang, Jie Yang, Wei Wu:
Binary Higher Order Neural Networks for Realizing Boolean Functions. IEEE Trans. Neural Networks 22(5): 701-713 (2011) - [j14]Jian Wang, Jie Yang, Wei Wu:
Convergence of Cyclic and Almost-Cyclic Learning With Momentum for Feedforward Neural Networks. IEEE Trans. Neural Networks 22(8): 1297-1306 (2011) - [c15]Yanpeng Qu, Changjing Shang, Qiang Shen, Neil Mac Parthaláin, Wei Wu:
Kernel-based fuzzy-rough nearest neighbour classification. FUZZ-IEEE 2011: 1523-1529 - [c14]Jian Wang, Wei Wu, Jacek M. Zurada:
Boundedness and convergence of MPN for cyclic and almost cyclic learning with penalty. IJCNN 2011: 125-132 - 2010
- [j13]Wei Wu, Long Li, Jie Yang, Yan Liu:
A modified gradient-based neuro-fuzzy learning algorithm and its convergence. Inf. Sci. 180(9): 1630-1642 (2010) - [j12]Dongpo Xu, Zhengxue Li, Wei Wu:
Convergence of gradient method for a fully recurrent neural network. Soft Comput. 14(3): 245-250 (2010) - [c13]Jie Yang, Long Li, Yan Liu, Jing Wang, Wei Wu:
Choice of initial bias in max-min fuzzy neural networks. IJCNN 2010: 1-3
2000 – 2009
- 2009
- [j11]Huisheng Zhang, Wei Wu:
Boundedness and Convergence of Online Gradient Method with Penalty for Linear Output Feedforward Neural Networks. Neural Process. Lett. 29(3): 205-212 (2009) - [j10]Huisheng Zhang, Wei Wu, Fei Liu, Mingchen Yao:
Boundedness and Convergence of Online Gradient Method With Penalty for Feedforward Neural Networks. IEEE Trans. Neural Networks 20(6): 1050-1054 (2009) - [c12]Mingchen Yao, Jie Yang, Huisheng Zhang, Wei Wu:
An Attribute Value Reduction Algorithm Based on Set Operations. DBTA 2009: 181-183 - [c11]Long Li, Jie Yang, Wei Wu, Tianshuang Wu:
An intuitionistic fuzzy associative memory network and its learning rule. GrC 2009: 350-353 - 2008
- [j9]Wei Wu, Dong Nan, Jinling Long, Yu-mei Ma:
A comment on "Relaxed conditions for radial-basis function networks to be universal approximators". Neural Networks 21(10): 1464-1465 (2008) - 2007
- [j8]Jie Yang, Wei Wu:
Is bias dispensable for fuzzy neural networks? Fuzzy Sets Syst. 158(24): 2757-2762 (2007) - [j7]Jinling Long, Wei Wu, Dong Nan:
LP Approximation Capabilities of Sum-of-Product and Sigma-pi-Sigma Neural Networks. Int. J. Neural Syst. 17(5): 419-424 (2007) - [j6]Yan Xiong, Wei Wu, Xidai Kang, Chao Zhang:
Training Pi-Sigma Network by Online Gradient Algorithm with Penalty for Small Weight Update. Neural Comput. 19(12): 3356-3368 (2007) - [j5]Chao Zhang, Wei Wu, Yan Xiong:
Convergence Analysis of Batch Gradient Algorithm for Three Classes of Sigma-Pi Neural Networks. Neural Process. Lett. 26(3): 177-189 (2007) - [c10]Xidai Kang, Yan Xiong, Chao Zhang, Wei Wu:
Convergence of Online Gradient Algorithm with Stochastic Inputs for Pi-Sigma Neural Networks. FOCI 2007: 564-569 - [c9]Jinling Long, Wei Wu, Dong Nan, Junfang Wang:
Uniqueness of Linear Combinations of Ridge Functions. ICNC (2) 2007: 85-88 - [c8]Wei Wu, Dong Nan, Zhengxue Li, Jinling Long:
Approximation to a Compact Set of Functions by Feedforward Neural Networks. IJCNN 2007: 1222-1225 - [c7]Dongpo Xu, Zhengxue Li, Wei Wu, Xiaoshuai Ding, Di Qu:
Convergence of Gradient Descent Algorithm for a Recurrent Neuron. ISNN (3) 2007: 117-122 - [c6]Jinling Long, Wei Wu, Dong Nan:
Uniform Approximation Capabilities of Sum-of-Product and Sigma-Pi-Sigma Neural Networks. ISNN (1) 2007: 1110-1116 - 2006
- [j4]Naimin Zhang, Wei Wu, Gaofeng Zheng:
Convergence of gradient method with momentum for two-Layer feedforward neural networks. IEEE Trans. Neural Networks 17(2): 522-525 (2006) - [c5]Wei Wu, Feng Li, Jun Kong, Lichang Hou, Bingdui Zhu:
A Bottom-Up OCR System for Mathematical Formulas Recognition. ICIC (1) 2006: 274-279 - [c4]Wei Wu, Hongmei Shao, Zhengxue Li:
Convergence of Batch BP Algorithm with Penalty for FNN Training. ICONIP (1) 2006: 562-569 - 2005
- [j3]Wei Wu, Guorui Feng, Zhengxue Li, Yuesheng Xu:
Deterministic convergence of an online gradient method for BP neural networks. IEEE Trans. Neural Networks 16(3): 533-540 (2005) - [c3]Zhengxue Li, Wei Wu, Guorui Feng, Huifang Lu:
Convergence of an Online Gradient Method for BP Neural Networks with Stochastic Inputs. ICNC (1) 2005: 720-729 - [c2]Jie Yang, Wei Wu, Zhiqiong Shao:
A New Training Algorithm for a Fuzzy Perceptron and Its Convergence. ISNN (1) 2005: 609-614 - 2004
- [c1]Wei Wu, Zhengxue Li, Guorui Feng, Naimin Zhang, Dong Nan, Zhiqiong Shao, Jie Yang, Liqing Zhang, Yuesheng Xu:
Recent Developments on Convergence of Online Gradient Methods for Neural Network Training. ISNN (1) 2004: 235-238 - 2003
- [j2]Wei Wu, Zhiqiong Shao:
Convergence of online gradient methods for continuous perceptrons with linearly separable training patterns. Appl. Math. Lett. 16(7): 999-1002 (2003) - 2002
- [j1]Wei Wu, Guorui Feng, Xin Li:
Training Multilayer Perceptrons Via Minimization of Sum of Ridge Functions. Adv. Comput. Math. 17(4): 331-347 (2002)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-18 19:21 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
