Wang Bi
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Reinforcement Learning in Robotics 3
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- Advanced Neural Network Applications 3
- Video Surveillance and Tracking Methods 3
- Co-authors
- Yang Chen (9 shared papers)Dechang Pi (6 shared papers)Junfu Chen (6 shared papers)Yue Xu (3 shared papers)Qiang Zhou (1 shared paper)Pengwan Chen (1 shared paper)Rui Liu (1 shared paper)Ali Wagdy Mohamed (2 shared papers)
- Journals
- IEEE Access (4 papers)IEEE Transactions on Automation Science and Engineering (2 papers)Oncotarget (2 papers)Nonlinear Dynamics (1 paper)Acta Biochimica et Biophysica Sinica (1 paper)
- Partner nations
- ChinaEgyptUnited Kingdom
In The Last Decade
Wang Bi
34 papers receiving 358 citations
Peers
Comparison fields: 5 of 85
- Cancer Research 46
- Obstetrics and Gynecology 19
- Hepatology 19
- Computer Vision and Pattern Recognition 46
- Aerospace Engineering 50
Countries citing papers authored by Wang Bi
This map shows the geographic impact of Wang Bi'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 Wang Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wang Bi more than expected).
Fields of papers citing papers by Wang Bi
This network shows the impact of papers produced by Wang Bi. 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 Wang Bi. The network helps show where Wang Bi may publish in the future.
Co-authors
The 25 scholars most cited alongside Wang Bi, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 54 | |
| 2 | 2022 | 41 | |
| 3 | 2017 | 40 | |
| 4 | 2020 | 36 | |
| 5 | 2017 | 29 | |
| 6 | 2015 | 27 | |
| 7 | 2022 | 16 | |
| 8 | 2019 | 15 | |
| 9 | 2020 | 12 | |
| 10 | 2024 | 10 | |
| 11 | 2023 | 8 | |
| 12 | 2025 | 8 | |
| 13 | 2024 | 8 | |
| 14 | 2024 | 6 | |
| 15 | 2024 | 6 | |
| 16 | 2020 | 6 | |
| 17 | 2016 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2024 | 5 | |
| 20 | 2023 | 4 |
About Wang Bi
Wang Bi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Aerospace Engineering and Molecular Biology, having authored 41 papers that have together received 367 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (3 papers), UAV Applications and Optimization (3 papers), IoT and Edge/Fog Computing (3 papers), Reinforcement Learning in Robotics (3 papers), Video Surveillance and Tracking Methods (3 papers), Hepatitis B Virus Studies (2 papers), Vehicle License Plate Recognition (2 papers) and Remote Sensing and Land Use (2 papers). The work is most often cited by research in Cancer Research (46 citations), Obstetrics and Gynecology (19 citations), Hepatology (19 citations), Computer Vision and Pattern Recognition (46 citations) and Aerospace Engineering (50 citations). Wang Bi has collaborated with scholars based in China, Egypt and United Kingdom. Frequent co-authors include Yang Chen, Dechang Pi, Junfu Chen, Yue Xu, Qiang Zhou, Pengwan Chen, Rui Liu, Ali Wagdy Mohamed, Zhendong Wang and Shuai Zhang. Their work appears in journals such as IEEE Access, IEEE Transactions on Automation Science and Engineering, Oncotarget, Nonlinear Dynamics and Acta Biochimica et Biophysica Sinica.
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.