Bai Wang
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Artificial Intelligence top 10%
- Advanced Graph Neural Networks
- Advanced Text Analysis Techniques
Papers in
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- Complex Network Analysis Techniques 16
- Opinion Dynamics and Social Influence 13
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- Caching and Content Delivery 4
- Peer-to-Peer Network Technologies 3
- Co-authors
- Yuxiao Dong (3 shared papers)Jie Tang (1 shared paper)Tiancheng Lou (1 shared paper)Yang Yang (1 shared paper)Nitesh V. Chawla (1 shared paper)Bin Wu (12 shared papers)Nan Du (2 shared papers)Bin Wu (4 shared papers)
- Journals
- Wireless Networks (1 paper)Physica A Statistical Mechanics and its Applications (1 paper)PLoS ONE (1 paper)ACS Applied Materials & Interfaces (1 paper)Expert Systems with Applications (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Bai Wang
28 papers receiving 651 citations
Bai Wang's Hit Papers
Peers
Comparison fields: 5 of 153
- Statistical and Nonlinear Physics 146
- Artificial Intelligence 112
- Information Systems 65
- Transportation 19
- Information Systems and Management 15
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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Inferring Social Status and Rich Club Effects in Enterprise Communication Networks Hit paper breakdown → | 2015 | 402 |
| 2 | 2016 | 52 | |
| 3 | 2008 | 35 | |
| 4 | 2007 | 25 | |
| 5 | 2009 | 25 | |
| 6 | 2011 | 19 | |
| 7 | 2020 | 15 | |
| 8 | 2012 | 12 | |
| 9 | 2011 | 10 | |
| 10 | 2020 | 9 | |
| 11 | 2022 | 9 | |
| 12 | 2012 | 8 | |
| 13 | 2011 | 8 | |
| 14 | 2017 | 8 | |
| 15 | 2011 | 4 | |
| 16 | 2012 | 3 | |
| 17 | 2023 | 3 | |
| 18 | 2011 | 3 | |
| 19 | 2011 | 3 | |
| 20 | 2013 | 3 |
About Bai Wang
Bai Wang is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 30 papers that have together received 670 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (16 papers), Opinion Dynamics and Social Influence (13 papers), Human Mobility and Location-Based Analysis (4 papers), Caching and Content Delivery (4 papers), Service-Oriented Architecture and Web Services (3 papers), Advanced Graph Neural Networks (3 papers), Peer-to-Peer Network Technologies (3 papers) and Cloud Computing and Resource Management (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (146 citations), Artificial Intelligence (112 citations), Information Systems (65 citations), Transportation (19 citations) and Information Systems and Management (15 citations). Bai Wang has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Yuxiao Dong, Jie Tang, Tiancheng Lou, Yang Yang, Nitesh V. Chawla, Bin Wu, Nan Du, Bin Wu, Chuan Shi and Shengqi Yang. Their work appears in journals such as Wireless Networks, Physica A Statistical Mechanics and its Applications, PLoS ONE, ACS Applied Materials & Interfaces and Expert Systems with Applications.
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.