Bowei He
Impact in
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- 3D Surveying and Cultural Heritage
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- Multimodal Machine Learning Applications
Papers in
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- Recommender Systems and Techniques 7
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- Advanced Graph Neural Networks 4
- Topic Modeling 3
- Natural Language Processing Techniques 1
- Co-authors
- Jin Cao (1 shared paper)Shuo Gao (1 shared paper)Yixuan Wang (1 shared paper)Xiangyang Zhu (3 shared papers)Peng Gao (2 shared papers)Shanghang Zhang (1 shared paper)Ziyu Guo (2 shared papers)Chen Ma (8 shared papers)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (3 papers)IEEE Robotics and Automation Letters (1 paper)ACM Transactions on Information Systems (1 paper)Biosensors (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Bowei He
14 papers receiving 236 citations
Peers
Comparison fields: 5 of 58
- Geology 18
- Computer Vision and Pattern Recognition 65
- Human-Computer Interaction 15
- Cognitive Neuroscience 50
- Biomedical Engineering 99
Countries citing papers authored by Bowei He
This map shows the geographic impact of Bowei He'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 Bowei He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bowei He more than expected).
Fields of papers citing papers by Bowei He
This network shows the impact of papers produced by Bowei He. 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 Bowei He. The network helps show where Bowei He may publish in the future.
Co-authors
The 25 scholars most cited alongside Bowei He, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 105 | |
| 2 | 2023 | 60 | |
| 3 | 2023 | 27 | |
| 4 | 2023 | 13 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 5 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 3 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 2 | |
| 12 | 2024 | 2 | |
| 13 | 2018 | 1 | |
| 14 | 2022 | 1 | |
| 15 | 2025 | 0 | |
| 16 | 2016 | 0 | |
| 17 | 2023 | 0 |
About Bowei He
Bowei He is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Management Science and Operations Research and Marketing, having authored 17 papers that have together received 237 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (7 papers), Advanced Graph Neural Networks (4 papers), Topic Modeling (3 papers), 3D Shape Modeling and Analysis (2 papers), Computer Graphics and Visualization Techniques (2 papers), Customer churn and segmentation (2 papers), Natural Language Processing Techniques (1 paper) and Caching and Content Delivery (1 paper). The work is most often cited by research in Geology (18 citations), Computer Vision and Pattern Recognition (65 citations), Human-Computer Interaction (15 citations), Cognitive Neuroscience (50 citations) and Biomedical Engineering (99 citations). Bowei He has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jin Cao, Shuo Gao, Yixuan Wang, Xiangyang Zhu, Peng Gao, Shanghang Zhang, Ziyu Guo, Chen Ma, Dong Wang and Aojun Zhou. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Robotics and Automation Letters, ACM Transactions on Information Systems, Biosensors and arXiv (Cornell University).
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.