Bowei He
Impact in
- Geology top 10%
- 3D Surveying and Cultural Heritage
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- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
Papers in
-
- Recommender Systems and Techniques 11
- Web Data Mining and Analysis 3
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- Topic Modeling 5
- Natural Language Processing Techniques 4
- Advanced Graph Neural Networks 4
- Semantic Web and Ontologies 2
- Co-authors
- Chaoming Fang (1 shared paper)Yixuan Wang (1 shared paper)Shuo Gao (1 shared paper)Jin Cao (1 shared paper)Peng Gao (2 shared papers)Xiangyang Zhu (3 shared papers)Shanghang Zhang (1 shared paper)Zipeng Qin (1 shared paper)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (3 papers)Biosensors (1 paper)IEEE Robotics and Automation Letters (1 paper)ACM Transactions on Information Systems (1 paper)IEEE Journal of Selected Topics in Signal Processing (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Bowei He
22 papers receiving 391 citations
Bowei He's Hit Papers
Peers
Comparison fields: 5 of 66
- Geology 33
- Computer Vision and Pattern Recognition 116
- Human-Computer Interaction 19
- Cognitive Neuroscience 56
- Artificial Intelligence 93
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
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning Hit paper breakdown → | 2023 | 124 |
| 2 | 2020 | 120 | |
| 3 | 2023 | 42 | |
| 4 | 2023 | 25 | |
| 5 | 2023 | 11 | |
| 6 | 2024 | 9 | |
| 7 | 2012 | 8 | |
| 8 | 2024 | 8 | |
| 9 | 2024 | 8 | |
| 10 | 2023 | 7 | |
| 11 | 2024 | 6 | |
| 12 | 2024 | 6 | |
| 13 | 2024 | 4 | |
| 14 | 2023 | 4 | |
| 15 | 2025 | 3 | |
| 16 | 2022 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2018 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2023 | 1 |
About Bowei He
Bowei He is a scholar working on Information Systems, Artificial Intelligence, Management Science and Operations Research, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 28 papers that have together received 393 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (11 papers), Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers), Advanced Graph Neural Networks (4 papers), Caching and Content Delivery (3 papers), Web Data Mining and Analysis (3 papers), Computer Graphics and Visualization Techniques (2 papers) and Semantic Web and Ontologies (2 papers). The work is most often cited by research in Geology (33 citations), Computer Vision and Pattern Recognition (116 citations), Human-Computer Interaction (19 citations), Cognitive Neuroscience (56 citations) and Artificial Intelligence (93 citations). Bowei He has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Chaoming Fang, Yixuan Wang, Shuo Gao, Jin Cao, Peng Gao, Xiangyang Zhu, Shanghang Zhang, Zipeng Qin, Ziyu Guo and Chen Ma. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Biosensors, IEEE Robotics and Automation Letters, ACM Transactions on Information Systems and IEEE Journal of Selected Topics in Signal Processing.
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.