Kejia Wang
- Physical Therapy, Sports Therapy and Rehabilitation top 2%
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Public Health, Environmental and Occupational Health
- Psychiatry and Mental health
- Co-authors
- Stephen J. RedmondNigel H. LovellKim DelbaereMatthew A. BrodieStephen R. LordMichael Del RosarioMichela PersianiMilou J. M. Coppens
- Topics
- Balance, Gait, and Falls Prevention (5 papers)Context-Aware Activity Recognition Systems (4 papers)Gait Recognition and Analysis (2 papers)
- Cited by
- Physical Therapy, Sports Therapy and RehabilitationComputer Vision and Pattern RecognitionRehabilitation
In The Last Decade
Kejia Wang
8 papers receiving 359 citations
Peers
Comparison fields: 5 of 67
- Physical Therapy, Sports Therapy and Rehabilitation 197
- Computer Vision and Pattern Recognition 137
- Biomedical Engineering 124
- Public Health, Environmental and Occupational Health 68
- Psychiatry and Mental health 53
Countries citing papers authored by Kejia Wang
This map shows the geographic impact of Kejia Wang'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 Kejia Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kejia Wang more than expected).
Fields of papers citing papers by Kejia Wang
This network shows the impact of papers produced by Kejia Wang. 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 Kejia Wang. The network helps show where Kejia Wang may publish in the future.
Co-authorship network of co-authors of Kejia Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Kejia Wang. A scholar is included among the top collaborators of Kejia Wang 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 Kejia Wang. Kejia Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 22 | |
| 3 | 54 | |
| 4 | 123 | |
| 5 | 41 | |
| 6 | 24 | |
| 7 | 64 | |
| 8 | 15 |
About Kejia Wang
Kejia Wang is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Computer Vision and Pattern Recognition and Rehabilitation, having authored 8 papers that have together received 365 indexed citations. Recurring topics across this work include Balance, Gait, and Falls Prevention (5 papers), Context-Aware Activity Recognition Systems (4 papers) and Gait Recognition and Analysis (2 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (197 citations), Computer Vision and Pattern Recognition (137 citations) and Rehabilitation (27 citations). Kejia Wang has collaborated with scholars based in Australia and Ireland. Frequent co-authors include Stephen J. Redmond, Nigel H. Lovell, Kim Delbaere, Matthew A. Brodie, Stephen R. Lord, Michael Del Rosario, Michela Persiani, Milou J. M. Coppens, Yves J. Gschwind and Daina L. Sturnieks. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Sensors and IEEE Journal of Biomedical and Health Informatics.
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.