Chuanfu Shen

11 papers receiving 223 citations

Hit Papers

OpenGait: Revisiting Gait Recognition Toward Better Pract...20232026202420252023255075100

Peers

Chuanfu Shen
Comparison fields: 5 of 22
  • Biomedical Engineering 215
  • Computer Vision and Pattern Recognition 160
  • Human-Computer Interaction 93
  • Endocrinology, Diabetes and Metabolism 55
  • Electrical and Electronic Engineering 18
Replace Yunjie Peng with:
Yunjie Peng China
Toby H. W. Lam Hong Kong
Haruyuki Iwama Japan
Isinsu Katircioglu Switzerland
Hongsuk Choi South Korea
Xuelian Cheng China
Umer Rafi Germany
Sina Honari Switzerland
Seunggeun Chi United States
Lin Geng Foo Singapore
Chuanfu Shen relative to Yunjie Peng China Yunjie Peng's profile →
Citations per field
00.5×1.5×
Yunjie Peng · 1×
Citations per year

Countries citing papers authored by Chuanfu Shen

Since Specialization
Citations

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

Fields of papers citing papers by Chuanfu Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chuanfu Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Chuanfu Shen. A scholar is included among the top collaborators of Chuanfu Shen 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 Chuanfu Shen. Chuanfu Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 1
2 2
3 4
4 25
5 6
6 0
7 13
8 9
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OpenGait: Revisiting Gait Recognition Toward Better Practicalitybreakdown →
111
10 9
11 2
12 45

About Chuanfu Shen

Chuanfu Shen is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Endocrinology, Diabetes and Metabolism, having authored 12 papers that have together received 227 indexed citations. Recurring topics across this work include Gait Recognition and Analysis (11 papers), Diabetic Foot Ulcer Assessment and Management (6 papers) and Hand Gesture Recognition Systems (6 papers). The work is most often cited by research in Human-Computer Interaction (93 citations), Computer Vision and Pattern Recognition (160 citations) and Biomedical Engineering (215 citations). Chuanfu Shen has collaborated with scholars based in China, Hong Kong and Germany. Frequent co-authors include Chao Fan, Shiqi Yu, Yong‐Zhen Huang, Junhao Liang, Saihui Hou, George Q. Huang, Rui Wang, Wei Wu, Shiqi Yu and Liang Wang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Transportation Research Part E Logistics and Transportation Review and IEEE Transactions on Biometrics Behavior and Identity Science.

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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