Boxuan Zhong
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Rehabilitation top 10%
- Cognitive Neuroscience
- Co-authors
- Edgar LobatónHe HuangMinhan LiQian GeWilliam J. HorreyJun LiLi LiXu Xu
- Topics
- Muscle activation and electromyography studies (5 papers)Prosthetics and Rehabilitation Robotics (5 papers)Context-Aware Activity Recognition Systems (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionRehabilitationPhysical Therapy, Sports Therapy and Rehabilitation
- Journals
- IEEE Transactions on CyberneticsAccident Analysis & PreventionIEEE Transactions on Systems Man and Cybernetics Systems
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Boxuan Zhong
18 papers receiving 362 citations
Peers
Comparison fields: 5 of 69
- Biomedical Engineering 150
- Computer Vision and Pattern Recognition 124
- Artificial Intelligence 64
- Rehabilitation 40
- Cognitive Neuroscience 35
Countries citing papers authored by Boxuan Zhong
This map shows the geographic impact of Boxuan Zhong'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 Boxuan Zhong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boxuan Zhong more than expected).
Fields of papers citing papers by Boxuan Zhong
This network shows the impact of papers produced by Boxuan Zhong. 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 Boxuan Zhong. The network helps show where Boxuan Zhong may publish in the future.
Co-authorship network of co-authors of Boxuan Zhong
This figure shows the co-authorship network connecting the top 25 collaborators of Boxuan Zhong. A scholar is included among the top collaborators of Boxuan Zhong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Boxuan Zhong. Boxuan Zhong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 1 | |
| 3 | 21 | |
| 4 | 53 | |
| 5 | 46 | |
| 6 | 34 | |
| 7 | 5 | |
| 8 | Reliable Deep Learning for Intelligent Wearable Systems. | 1 |
| 9 | 9 | |
| 10 | 49 | |
| 11 | 25 | |
| 12 | 1 | |
| 13 | 11 | |
| 14 | 22 | |
| 15 | 4 | |
| 16 | 17 | |
| 17 | 7 | |
| 18 | 46 |
About Boxuan Zhong
Boxuan Zhong is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Physical Therapy, Sports Therapy and Rehabilitation, having authored 18 papers that have together received 368 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (5 papers), Prosthetics and Rehabilitation Robotics (5 papers) and Context-Aware Activity Recognition Systems (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (124 citations), Rehabilitation (40 citations) and Physical Therapy, Sports Therapy and Rehabilitation (22 citations). Boxuan Zhong has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Edgar Lobatón, He Huang, Minhan Li, Qian Ge, William J. Horrey, Jun Li, Li Li, Xu Xu, Yulan Liang and Zijing Chen. Their work appears in journals such as IEEE Transactions on Cybernetics, Accident Analysis & Prevention and IEEE Transactions on Systems Man and Cybernetics Systems.
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.