Bin Wu
Impact in
- Statistical and Nonlinear Physics top 0.5%
- Complex Network Analysis Techniques
- Information Systems top 0.5%
- Recommender Systems and Techniques
- Spam and Phishing Detection
Papers in
-
- Complex Network Analysis Techniques 104
-
- Topic Modeling 43
- Advanced Graph Neural Networks 29
- Co-authors
- Chuan Shi (39 shared papers)Philip S. Yu (10 shared papers)Bai Wang (51 shared papers)Chenguang Song (16 shared papers)Yanan Cai (11 shared papers)Kangfeng Zheng (26 shared papers)Nan Du (10 shared papers)Xiangnan Kong (3 shared papers)
- Journals
- IEEE Access (7 papers)Information Processing & Management (7 papers)Lecture notes in computer science (47 papers)Neurocomputing (4 papers)Neural Networks (4 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Bin Wu
359 papers receiving 4.9k citations
Bin Wu's Hit Papers
Peers
Comparison fields: 5 of 96
- Statistical and Nonlinear Physics 1.2k
- Information Systems 1.2k
- Artificial Intelligence 1.1k
- Computer Vision and Pattern Recognition 599
- Computer Networks and Communications 459
Countries citing papers authored by Bin Wu
This map shows the geographic impact of Bin Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bin Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Wu more than expected).
Fields of papers citing papers by Bin Wu
This network shows the impact of papers produced by Bin Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bin Wu. The network helps show where Bin Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 394 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 273 | |
| 2 | Semantic Path based Personalized Recommendation on Weighted Heterogeneous Information Networks Hit paper breakdown → | 2015 | 240 |
| 3 | A multimodal fake news detection model based on crossmodal attention residual and multichannel convolutional neural networks Hit paper breakdown → | 2020 | 186 |
| 4 | 2011 | 161 | |
| 5 | 2007 | 158 | |
| 6 | 2020 | 137 | |
| 7 | Temporally evolving graph neural network for fake news detection Hit paper breakdown → | 2021 | 120 |
| 8 | Deep learning for fake news detection: A comprehensive survey Hit paper breakdown → | 2022 | 119 |
| 9 | 2013 | 112 | |
| 10 | 2012 | 105 | |
| 11 | 2018 | 88 | |
| 12 | 2010 | 86 | |
| 13 | 2014 | 84 | |
| 14 | 2010 | 64 | |
| 15 | 2013 | 60 | |
| 16 | 2006 | 56 | |
| 17 | 2016 | 55 | |
| 18 | 2016 | 53 | |
| 19 | 2021 | 49 | |
| 20 | 2009 | 44 |
About Bin Wu
Bin Wu is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 394 papers that have together received 5k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (104 papers), Topic Modeling (43 papers), Advanced Graph Neural Networks (29 papers), Recommender Systems and Techniques (26 papers), Graph Theory and Algorithms (22 papers), Multimodal Machine Learning Applications (20 papers), Cloud Computing and Resource Management (19 papers) and Network Security and Intrusion Detection (16 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.2k citations), Information Systems (1.2k citations), Artificial Intelligence (1.1k citations), Computer Vision and Pattern Recognition (599 citations) and Computer Networks and Communications (459 citations). Bin Wu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Chuan Shi, Philip S. Yu, Bai Wang, Chenguang Song, Yanan Cai, Kangfeng Zheng, Nan Du, Xiangnan Kong, Bai Wang and Xiujuan Wang. Their work appears in journals such as IEEE Access, Information Processing & Management, Lecture notes in computer science, Neurocomputing and Neural Networks.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.