Bo Wan
Impact in
-
- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Human-Computer Interaction top 5%
Papers in
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- Multimodal Machine Learning Applications 11
- Advanced Image and Video Retrieval Techniques 8
- Co-authors
- Xuming He (5 shared papers)Rongjie Li (2 shared papers)Yongfei Liu (3 shared papers)Songyang Zhang (1 shared paper)Quan Wang (19 shared papers)Desen Zhou (2 shared papers)Jiayang Huang (10 shared papers)Xiaodan Zhu (1 shared paper)
- Journals
- IEEE Transactions on Instrumentation and Measurement (3 papers)IEEE Transactions on Neural Systems and Rehabilitation Engineering (3 papers)Multimedia Tools and Applications (3 papers)Electronics (2 papers)Neurocomputing (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Bo Wan
66 papers receiving 903 citations
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 513
- Human-Computer Interaction 73
- Artificial Intelligence 273
- Hardware and Architecture 47
- Cognitive Neuroscience 104
Countries citing papers authored by Bo Wan
This map shows the geographic impact of Bo Wan'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 Bo Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bo Wan more than expected).
Fields of papers citing papers by Bo Wan
This network shows the impact of papers produced by Bo Wan. 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 Bo Wan. The network helps show where Bo Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Bo Wan, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 148 | |
| 2 | 2021 | 145 | |
| 3 | 2020 | 61 | |
| 4 | 2021 | 44 | |
| 5 | 2021 | 44 | |
| 6 | 2021 | 36 | |
| 7 | 2020 | 35 | |
| 8 | 2016 | 27 | |
| 9 | 2020 | 26 | |
| 10 | 2004 | 26 | |
| 11 | 2022 | 18 | |
| 12 | 2021 | 17 | |
| 13 | 2023 | 17 | |
| 14 | 2017 | 17 | |
| 15 | 2023 | 15 | |
| 16 | 2020 | 15 | |
| 17 | 2024 | 14 | |
| 18 | 2022 | 14 | |
| 19 | 2018 | 14 | |
| 20 | 2023 | 13 |
About Bo Wan
Bo Wan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Hardware and Architecture, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 79 papers that have together received 921 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (11 papers), Embedded Systems Design Techniques (10 papers), EEG and Brain-Computer Interfaces (9 papers), Real-Time Systems Scheduling (9 papers), Advanced Image and Video Retrieval Techniques (8 papers), IoT and Edge/Fog Computing (6 papers), Cloud Computing and Resource Management (6 papers) and Parallel Computing and Optimization Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (513 citations), Human-Computer Interaction (73 citations), Artificial Intelligence (273 citations), Hardware and Architecture (47 citations) and Cognitive Neuroscience (104 citations). Bo Wan has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Xuming He, Rongjie Li, Yongfei Liu, Songyang Zhang, Quan Wang, Desen Zhou, Jiayang Huang, Xiaodan Zhu, Di Wang and Shi Chen. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Multimedia Tools and Applications, Electronics and Neurocomputing.
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.