Wei Wang
Impact in
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- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Artificial Intelligence top 0.2%
- Topic Modeling
- Advanced Graph Neural Networks
- Natural Language Processing Techniques
Papers in
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- Topic Modeling 81
- Advanced Graph Neural Networks 51
- Natural Language Processing Techniques 36
-
- Advanced Neural Network Applications 55
- Co-authors
- Junxin Chen (32 shared papers)Jian Pei (3 shared papers)Jiawei Han (3 shared papers)Ke Sun (2 shared papers)Alex X. Liu (1 shared paper)Teshome Megersa Bekele (8 shared papers)Xiping Hu (28 shared papers)Liang Wang (5 shared papers)
- Journals
- IEEE Internet of Things Journal (11 papers)IEEE Transactions on Intelligent Transportation Systems (11 papers)IEEE Access (10 papers)IEEE Network (7 papers)Information Fusion (5 papers)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Wei Wang
707 papers receiving 13.1k citations
Wei Wang's Hit Papers
Peers
Comparison fields: 5 of 220
- Computer Vision and Pattern Recognition 2.5k
- Artificial Intelligence 3.7k
- Information Systems 2.3k
- Signal Processing 1.1k
- Transportation 592
Countries citing papers authored by Wei Wang
This map shows the geographic impact of Wei Wang'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 Wei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Wang more than expected).
Fields of papers citing papers by Wei Wang
This network shows the impact of papers produced by Wei Wang. 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 Wei Wang. The network helps show where Wei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Wang, 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 796 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 328 | |
| 2 | 2009 | 276 | |
| 3 | 2017 | 262 | |
| 4 | Language-agnostic BERT Sentence Embedding Hit paper breakdown → | 2022 | 257 |
| 5 | 2020 | 202 | |
| 6 | 2017 | 199 | |
| 7 | 2019 | 198 | |
| 8 | 2001 | 198 | |
| 9 | 2019 | 194 | |
| 10 | 2007 | 188 | |
| 11 | 2013 | 184 | |
| 12 | 2013 | 175 | |
| 13 | 2002 | 174 | |
| 14 | 2021 | 157 | |
| 15 | 2017 | 145 | |
| 16 | 2019 | 136 | |
| 17 | 2020 | 129 | |
| 18 | 2018 | 127 | |
| 19 | 2017 | 123 | |
| 20 | 2020 | 123 |
About Wei Wang
Wei Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 796 papers that have together received 13.5k indexed citations. Recurring topics across this work include Topic Modeling (81 papers), Complex Network Analysis Techniques (60 papers), Advanced Neural Network Applications (55 papers), Advanced Graph Neural Networks (51 papers), Recommender Systems and Techniques (45 papers), Traffic Prediction and Management Techniques (41 papers), Natural Language Processing Techniques (36 papers) and Human Mobility and Location-Based Analysis (28 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.5k citations), Artificial Intelligence (3.7k citations), Information Systems (2.3k citations), Signal Processing (1.1k citations) and Transportation (592 citations). Wei Wang has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Junxin Chen, Jian Pei, Jiawei Han, Ke Sun, Alex X. Liu, Teshome Megersa Bekele, Xiping Hu, Liang Wang, Tieniu Tan and Xiangjie Kong. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Transactions on Intelligent Transportation Systems, IEEE Access, IEEE Network and Information Fusion.
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.