Hongbin Pei
Impact in
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- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Face recognition and analysis
- Modeling and Simulation top 10%
Papers in
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- Advanced Graph Neural Networks 6
- Domain Adaptation and Few-Shot Learning 3
- Topic Modeling 3
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- Recommender Systems and Techniques 7
- Co-authors
- Bo Yang (6 shared papers)Wenhui Li (3 shared papers)Jialun Liu (4 shared papers)Yifan Sun (2 shared papers)Feng Zhu (1 shared paper)Yi Yang (1 shared paper)Jiming Liu (4 shared papers)Yu Lei (3 shared papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (3 papers)IEEE Access (2 papers)Expert Systems with Applications (2 papers)International Journal of Geomechanics (1 paper)IEEE Transactions on Consumer Electronics (1 paper)
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Hongbin Pei
20 papers receiving 411 citations
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 208
- Modeling and Simulation 29
- Artificial Intelligence 145
- Information Systems 78
- Management Science and Operations Research 42
Countries citing papers authored by Hongbin Pei
This map shows the geographic impact of Hongbin Pei'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 Hongbin Pei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongbin Pei more than expected).
Fields of papers citing papers by Hongbin Pei
This network shows the impact of papers produced by Hongbin Pei. 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 Hongbin Pei. The network helps show where Hongbin Pei may publish in the future.
Co-authors
The 25 scholars most cited alongside Hongbin Pei, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 131 | |
| 2 | 2020 | 51 | |
| 3 | 2018 | 47 | |
| 4 | 2020 | 31 | |
| 5 | 2018 | 31 | |
| 6 | 2019 | 24 | |
| 7 | 2019 | 21 | |
| 8 | 2024 | 16 | |
| 9 | 2020 | 15 | |
| 10 | 2018 | 12 | |
| 11 | 2016 | 10 | |
| 12 | 2021 | 9 | |
| 13 | 2023 | 4 | |
| 14 | 2014 | 4 | |
| 15 | 2025 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2020 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2024 | 2 |
About Hongbin Pei
Hongbin Pei is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Epidemiology and Management Science and Operations Research, having authored 23 papers that have together received 423 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (7 papers), Advanced Graph Neural Networks (6 papers), COVID-19 epidemiological studies (4 papers), Advanced Bandit Algorithms Research (3 papers), Data-Driven Disease Surveillance (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Face recognition and analysis (3 papers) and Topic Modeling (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (208 citations), Modeling and Simulation (29 citations), Artificial Intelligence (145 citations), Information Systems (78 citations) and Management Science and Operations Research (42 citations). Hongbin Pei has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Bo Yang, Wenhui Li, Jialun Liu, Yifan Sun, Feng Zhu, Yi Yang, Jiming Liu, Yu Lei, Wenjie Li and Hechang Chen. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access, Expert Systems with Applications, International Journal of Geomechanics and IEEE Transactions on Consumer Electronics.
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.