Chongyang Wang

1.2k citations
51 papers · 719 · h-index 15

Impact in

Papers in

    • Human Pose and Action Recognition 10
    • Multimodal Machine Learning Applications 3
    • Advanced Image and Video Retrieval Techniques 3
    • Context-Aware Activity Recognition Systems 3
    • Digital Imaging for Blood Diseases 2
    • Stroke Rehabilitation and Recovery 5

Chongyang Wang

44 papers receiving 707 citations

Peers

Chongyang Wang
Comparison fields: 5 of 115
  • Experimental and Cognitive Psychology 202
  • Computer Vision and Pattern Recognition 297
  • Human-Computer Interaction 58
  • Urban Studies 39
  • Signal Processing 52
Replace Dalin Zhou with:
Dalin Zhou United Kingdom
Ramakrishnan Swaminathan India
Yoshinari Kameda Japan
Aosen Wang United States
Qun Wu China
Myoungho Lee South Korea
Che‐Wei Lin Taiwan
Jenn-Jier James Lien Taiwan
Mohamed Hisham Jaward Malaysia
Cataldo Guaragnella Italy
Chongyang Wang relative to Dalin Zhou United Kingdom Dalin Zhou's profile →
Citations per field
00.5×1.5×1.8×
Dalin Zhou · 1×
Citations per year

Countries citing papers authored by Chongyang Wang

Since Specialization
Citations

This map shows the geographic impact of Chongyang 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 Chongyang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chongyang Wang more than expected).

Fields of papers citing papers by Chongyang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chongyang 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 Chongyang Wang. The network helps show where Chongyang Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Chongyang Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chongyang Wang Line = papers co-authored together Chongyang Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017130
2 202096
3 201958
4 201647
5 202132
6 202229
7 201929
8 202323
9 201921
10 201918
11 202217
12 202316
13 202016
14 201916
15 202015
16 202111
17 201211
18 201811
19 20249
20 20199

About Chongyang Wang

Chongyang Wang is a scholar working on Computer Vision and Pattern Recognition, Rehabilitation, Experimental and Cognitive Psychology, Pharmacology and Control and Systems Engineering, having authored 51 papers that have together received 719 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (10 papers), Emotion and Mood Recognition (6 papers), Stroke Rehabilitation and Recovery (5 papers), Musculoskeletal pain and rehabilitation (4 papers), Multimodal Machine Learning Applications (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Context-Aware Activity Recognition Systems (3 papers) and Digital Imaging for Blood Diseases (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (202 citations), Computer Vision and Pattern Recognition (297 citations), Human-Computer Interaction (58 citations), Urban Studies (39 citations) and Signal Processing (52 citations). Chongyang Wang has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Tong Chen, Min Peng, Guangyuan Liu, Xiaolan Fu, Min Peng, Nadia Bianchi‐Berthouze, Amanda C de C Williams, Nicholas D. Lane, Akhil Mathur and Zhijie Ma. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Neurocomputing, PLoS ONE, Scientific Reports and Journal of Pain Research.

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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