Kejia Wang

12 total papers · 475 total citations
8 papers, 363 citations indexed

About

Kejia Wang is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Computer Vision and Pattern Recognition and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Kejia Wang has authored 8 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physical Therapy, Sports Therapy and Rehabilitation, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Kejia Wang's work include Balance, Gait, and Falls Prevention (5 papers), Context-Aware Activity Recognition Systems (4 papers) and Cerebral Palsy and Movement Disorders (2 papers). Kejia Wang is often cited by papers focused on Balance, Gait, and Falls Prevention (5 papers), Context-Aware Activity Recognition Systems (4 papers) and Cerebral Palsy and Movement Disorders (2 papers). Kejia Wang collaborates with scholars based in Australia and Ireland. Kejia Wang's co-authors include Stephen J. Redmond, Nigel H. Lovell, Kim Delbaere, Stephen R. Lord, Matthew A. Brodie, Michael Del Rosario, Michela Persiani, Milou J. M. Coppens, Yves J. Gschwind and Daina L. Sturnieks and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Sensors and IEEE Journal of Biomedical and Health Informatics.

In The Last Decade

Kejia Wang

8 papers receiving 357 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Kejia Wang	196	136	123	68	53	8	363
Milou J. M. Coppens	207 1.1×	64 0.5×	116 0.9×	29 0.4×	73 1.4×	8	334
Tal Shany	136 0.7×	167 1.2×	152 1.2×	45 0.7×	32 0.6×	8	374
S. Nicolai	207 1.1×	115 0.8×	144 1.2×	22 0.3×	97 1.8×	17	402
Kazuya Yoshimura	103 0.5×	35 0.3×	67 0.5×	38 0.6×	64 1.2×	7	324
Arash Atrsaei	180 0.9×	52 0.4×	107 0.9×	20 0.3×	102 1.9×	10	400
Tatsuaki Ito	99 0.5×	48 0.4×	94 0.8×	31 0.5×	37 0.7×	10	303
Stuart Hagler	115 0.6×	134 1.0×	77 0.6×	16 0.2×	124 2.3×	11	387
Nicole A. Capela	69 0.4×	179 1.3×	129 1.0×	15 0.2×	26 0.5×	5	329
Mehmet Gövercin	102 0.5×	109 0.8×	61 0.5×	17 0.3×	67 1.3×	24	330
G. Ruben H. Regterschot	138 0.7×	37 0.3×	52 0.4×	22 0.3×	65 1.2×	16	327

Countries citing papers authored by Kejia Wang

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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