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ORCIDPeng Peng 0007
Person information
- affiliation: Chinese Academy of Sciences, Institute of Geographic Sciences and Natural Resources Research, State Key Laboratory of Resources and Environmental Information System, Beijing, China
Other persons with the same name
- Peng Peng — disambiguation page
- Peng Peng 0001
![[0000-0002-8095-8061]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-8095-8061")
— Hunan University, Big Data Provincial Key Laboratory, Changsha, China (and 1 more) - Peng Peng 0002 — Hong Kong University of Science and Technology, Hong Kong
- Peng Peng 0003 — Microsoft Corp., Redmond, WA, USA (and 2 more)
- Peng Peng 0004 — Xidian University, School of Physics and Optoelectronic Engineering, Xi'an, China
- Peng Peng 0005 — South China University of Technology, School of Future Technology, Guangzhou, China (and 1 more)
- Peng Peng 0006 — Zhejiang University-University of Illinois at Urbana-Champaign Institute, Haining, China (and 1 more)
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2020 – today
- 2025
[j14]Zongcai Huang, Peng Peng, Feng Lu, He Zhang:
An LLM-Based Method for Quality Information Extraction From Web Text for Crowed-Sensing Spatiotemporal Data. Trans. GIS 29(1) (2025)- 2024
- [j13]Jialiang Gao, Peng Peng, Feng Lu, Christophe Claramunt, Peiyuan Qiu, Yang Xu:
Mining tourist preferences and decision support via tourism-oriented knowledge graph. Inf. Process. Manag. 61(1): 103523 (2024) - [j12]Yang Xu, Peng Peng, Christophe Claramunt, Feng Lu, Ran Yan:
Cascading failure modelling in global container shipping network using mass vessel trajectory data. Reliab. Eng. Syst. Saf. 249: 110231 (2024) - [j11]Jialiang Gao, Peng Peng, Feng Lu, Shu Wang, Xiaowei Xie, Christophe Claramunt:
Knowledge-driven spatial competitive intelligence for tourism. Trans. GIS 28(3): 535-563 (2024) - [c7]Yang Xu, Peng Peng, Christophe Claramunt, Feng Lu:
An Analysis of Container Transportation Multiplex Networks from the Perspective of Shipping Company. W2GIS 2024: 183-191 - 2023
- [j10]Peng Peng, Christophe Claramunt, Shifen Cheng, Yu Yang, Feng Lu:
A multi-layer modelling approach for mining versatile ports of a global maritime transportation network. Int. J. Digit. Earth 16(1): 2129-2151 (2023) - [j9]Jialiang Gao, Peng Peng, Feng Lu, Christophe Claramunt, Yang Xu:
Towards travel recommendation interpretability: Disentangling tourist decision-making process via knowledge graph. Inf. Process. Manag. 60(4): 103369 (2023) - [j8]Shuguang Wu, Zhao Li, Houpu Li, Shaofeng Bian, Hua Ouyang, Yibin Yao, Peng Peng, Yuefan He:
Detection of Periodic Signals With Time-Varying Coefficients From CMONOC Stations in China by Singular Spectrum Analysis. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - [c6]Jialiang Gao, Peng Peng, Christophe Claramunt, Feng Lu:
A Heterogeneous Information Attentive Network for the Identification of Tourist Attraction Competitors. W2GIS 2023: 166-178 - 2022
- [j7]Peng Peng, Christophe Claramunt, Shifen Cheng, Feng Lu:
How Does a Port Build Influence? Diffusion Patterns in Global Oil Transportation. Sensors 22(22): 8595 (2022) - [c5]Yang Xu, Peng Peng, Christophe Claramunt, Feng Lu:
Impact of COVID-19 on Tourists' Travel Intentions and Behaviors: The Case Study of Hong Kong, China. W2GIS 2022: 18-27 - 2021
- [j6]Géraldine Del Mondo, Peng Peng, Jérôme Gensel, Christophe Claramunt, Feng Lu:
Leveraging Spatio-Temporal Graphs and Knowledge Graphs: Perspectives in the Field of Maritime Transportation. ISPRS Int. J. Geo Inf. 10(8): 541 (2021) - [j5]Shifen Cheng, Feng Lu, Peng Peng:
Short-Term Traffic Forecasting by Mining the Non-Stationarity of Spatiotemporal Patterns. IEEE Trans. Intell. Transp. Syst. 22(10): 6365-6383 (2021) - 2020
- [j4]Shifen Cheng, Peng Peng, Feng Lu:
A lightweight ensemble spatiotemporal interpolation model for geospatial data. Int. J. Geogr. Inf. Sci. 34(9): 1849-1872 (2020) - [c4]Peng Peng, Feng Lu:
Mapping the Port Influence Diffusion Patterns: A Case Study of Rotterdam, Antwerp and Singapore. ICCS (4) 2020: 266-276
2010 – 2019
- 2019
- [j3]Shifen Cheng, Feng Lu, Peng Peng, Sheng Wu:
Multi-task and multi-view learning based on particle swarm optimization for short-term traffic forecasting. Knowl. Based Syst. 180: 116-132 (2019) - 2018
- [j2]Shifen Cheng, Feng Lu, Peng Peng, Sheng Wu:
A Spatiotemporal Multi-View-Based Learning Method for Short-Term Traffic Forecasting. ISPRS Int. J. Geo Inf. 7(6): 218 (2018) - [j1]Shifen Cheng, Feng Lu, Peng Peng, Sheng Wu:
Short-term traffic forecasting: An adaptive ST-KNN model that considers spatial heterogeneity. Comput. Environ. Urban Syst. 71: 186-198 (2018) - 2017
- [c3]Xiliang Liu, Li Yu, Kang Liu, Peng Peng, Shifen Cheng, Mengdi Liao, Feng Lu:
ST-PF: Spatio-Temporal Particle Filter for Floating-Car Data Pre-processing. IF&GIS 2017: 197-211 - 2016
- [c2]Xiliang Liu, Li Yu, Peng Peng, Feng Lu:
A Stacked Generalization Framework for City Traffic Related Geospatial Data Analysis. APWeb Workshops 2016: 265-276 - [c1]Li Yu, Xiliang Liu, Mingxiao Li, Peng Peng, Feng Lu:
A holistic framework of geographical semantic web aligning. GIR 2016: 1:1-1:10
Coauthor Index
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