Bin Zhou
Impact in
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- Complex Network Analysis Techniques
- Information Systems top 5%
- Recommender Systems and Techniques
- Service-Oriented Architecture and Web Services
Papers in
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- Complex Network Analysis Techniques 26
-
- Topic Modeling 14
- Sentiment Analysis and Opinion Mining 12
- Advanced Graph Neural Networks 11
- Co-authors
- Yan Jia (36 shared papers)Quanyuan Wu (11 shared papers)Yi Han (12 shared papers)Aiping Li (7 shared papers)Ye Wang (7 shared papers)Shudong Li (4 shared papers)Shoujian Peng (6 shared papers)Fazhi Yan (5 shared papers)
- Journals
- World Wide Web (3 papers)Nonlinear Dynamics (3 papers)Lecture notes in computer science (22 papers)IEEE Access (2 papers)Natural Resources Research (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Bin Zhou
115 papers receiving 966 citations
Peers
Comparison fields: 5 of 74
- Statistical and Nonlinear Physics 144
- Information Systems 239
- Safety, Risk, Reliability and Quality 89
- Artificial Intelligence 282
- Ocean Engineering 76
Countries citing papers authored by Bin Zhou
This map shows the geographic impact of Bin Zhou'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 Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Zhou more than expected).
Fields of papers citing papers by Bin Zhou
This network shows the impact of papers produced by Bin Zhou. 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 Zhou. The network helps show where Bin Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Zhou, 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 130 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 89 | |
| 2 | 2017 | 66 | |
| 3 | 2003 | 45 | |
| 4 | 2019 | 38 | |
| 5 | 2020 | 37 | |
| 6 | 2018 | 34 | |
| 7 | 2013 | 33 | |
| 8 | 2019 | 30 | |
| 9 | 2015 | 23 | |
| 10 | 2017 | 22 | |
| 11 | 2015 | 21 | |
| 12 | 2017 | 21 | |
| 13 | 2021 | 21 | |
| 14 | 2008 | 20 | |
| 15 | 2014 | 20 | |
| 16 | 2013 | 19 | |
| 17 | 2007 | 18 | |
| 18 | 2017 | 18 | |
| 19 | 2022 | 17 | |
| 20 | 2022 | 16 |
About Bin Zhou
Bin Zhou is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Information Systems, Management Science and Operations Research and Control and Systems Engineering, having authored 130 papers that have together received 997 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (26 papers), Topic Modeling (14 papers), Sentiment Analysis and Opinion Mining (12 papers), Advanced Graph Neural Networks (11 papers), Recommender Systems and Techniques (10 papers), Adaptive Control of Nonlinear Systems (9 papers), Access Control and Trust (7 papers) and Service-Oriented Architecture and Web Services (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (144 citations), Information Systems (239 citations), Safety, Risk, Reliability and Quality (89 citations), Artificial Intelligence (282 citations) and Ocean Engineering (76 citations). Bin Zhou has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yan Jia, Quanyuan Wu, Yi Han, Aiping Li, Ye Wang, Shudong Li, Shoujian Peng, Fazhi Yan, Hu Li and Hua Wang. Their work appears in journals such as World Wide Web, Nonlinear Dynamics, Lecture notes in computer science, IEEE Access and Natural Resources Research.
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.