Bai Wang
Impact in
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- Complex Network Analysis Techniques
- Artificial Intelligence top 2%
- Advanced Graph Neural Networks
- Advanced Clustering Algorithms Research
- Topic Modeling
- Text and Document Classification Technologies
Papers in
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- Complex Network Analysis Techniques 22
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- Recommender Systems and Techniques 10
- Cloud Computing and Resource Management 4
- Co-authors
- Bin Wu (51 shared papers)Chuan Shi (17 shared papers)Nan Du (6 shared papers)Liutong Xu (9 shared papers)Shaohua Fan (4 shared papers)Xiao Wang (6 shared papers)Xin Pei (2 shared papers)Philip S. Yu (5 shared papers)
- Journals
- IEEE Access (2 papers)Aquaculture (2 papers)Lecture notes in computer science (11 papers)Expert Systems with Applications (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)
- Partner nations
- ChinaUnited StatesAustria
In The Last Decade
Bai Wang
95 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 92
- Statistical and Nonlinear Physics 260
- Artificial Intelligence 582
- Information Systems 253
- Computer Vision and Pattern Recognition 147
- Computer Networks and Communications 112
Countries citing papers authored by Bai Wang
This map shows the geographic impact of Bai 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 Bai Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bai Wang more than expected).
Fields of papers citing papers by Bai Wang
This network shows the impact of papers produced by Bai 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 Bai Wang. The network helps show where Bai Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Bai 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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 162 | |
| 2 | 2007 | 158 | |
| 3 | 2021 | 84 | |
| 4 | 2023 | 68 | |
| 5 | 2015 | 62 | |
| 6 | 2006 | 56 | |
| 7 | 2020 | 49 | |
| 8 | 2009 | 43 | |
| 9 | 2022 | 38 | |
| 10 | 2019 | 31 | |
| 11 | 2011 | 29 | |
| 12 | 2012 | 27 | |
| 13 | 2020 | 27 | |
| 14 | 2018 | 26 | |
| 15 | 2019 | 26 | |
| 16 | 2021 | 26 | |
| 17 | 2010 | 24 | |
| 18 | 2022 | 24 | |
| 19 | 2013 | 21 | |
| 20 | 2008 | 20 |
About Bai Wang
Bai Wang is a scholar working on Statistical and Nonlinear Physics, Information Systems, Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 102 papers that have together received 1.5k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (22 papers), Advanced Graph Neural Networks (10 papers), Recommender Systems and Techniques (10 papers), Topic Modeling (9 papers), Distributed and Parallel Computing Systems (7 papers), Advanced Database Systems and Queries (5 papers), Text and Document Classification Technologies (4 papers) and Cloud Computing and Resource Management (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (260 citations), Artificial Intelligence (582 citations), Information Systems (253 citations), Computer Vision and Pattern Recognition (147 citations) and Computer Networks and Communications (112 citations). Bai Wang has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Bin Wu, Chuan Shi, Nan Du, Liutong Xu, Shaohua Fan, Xiao Wang, Xin Pei, Philip S. Yu, Xiao Wang and Ken Lin. Their work appears in journals such as IEEE Access, Aquaculture, Lecture notes in computer science, Expert Systems with Applications and IEEE Transactions on Neural Networks and Learning Systems.
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.