Kanglei Zhou

422 citations
22 papers · 295 · h-index 8

Impact in

Papers in

Kanglei Zhou

21 papers receiving 291 citations

Peers

Kanglei Zhou
Comparison fields: 5 of 55
  • Computer Vision and Pattern Recognition 232
  • Human-Computer Interaction 14
  • Computational Theory and Mathematics 35
  • Signal Processing 21
  • Artificial Intelligence 62
Replace Laiphrakpam Dolendro Singh with:
Laiphrakpam Dolendro Singh India
Mohamed Amine Tahiri Morocco
Andrey Sergeevich Voynov Israel
Ahmed Bencherqui Morocco
S. Prasanna India
Mina A. Makar United States
Francesco Vargiu Italy
P. Mathivanan India
Achilleas Papakostas United States
Erfu Wang China
Kanglei Zhou relative to Laiphrakpam Dolendro Singh India Laiphrakpam Dolendro Singh's profile →
Citations per field
00.5×2×3×
Laiphrakpam Dolendro Singh · 1×
Citations per year

Countries citing papers authored by Kanglei Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Kanglei Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Kanglei Zhou, 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 Kanglei Zhou Line = papers co-authored together Kanglei Zhou links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201993
2 202344
3 202030
4 201925
5 202317
6 201916
7 201914
8 20228
9 20226
10 20235
11 20245
12 20215
13 20255
14 20254
15 20204
16 20254
17 20233
18 20233
19 20092
20 20101

About Kanglei Zhou

Kanglei Zhou is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Human-Computer Interaction, Mathematical Physics and Physical Therapy, Sports Therapy and Rehabilitation, having authored 22 papers that have together received 295 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (8 papers), Chaos-based Image/Signal Encryption (5 papers), Anomaly Detection Techniques and Applications (5 papers), Advanced Steganography and Watermarking Techniques (3 papers), Hand Gesture Recognition Systems (3 papers), Gait Recognition and Analysis (2 papers), Indoor and Outdoor Localization Technologies (2 papers) and Face and Expression Recognition (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (232 citations), Human-Computer Interaction (14 citations), Computational Theory and Mathematics (35 citations), Signal Processing (21 citations) and Artificial Intelligence (62 citations). Kanglei Zhou has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Haiju Fan, Ming Li, Xiaohui Liang, Hubert P. H. Shum, Yue Ma, Juntao Li, Frederick W. B. Li, Wenying Wen, En Zhang and Hua Ren. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Applied Sciences, Neural Processing Letters, Digital Signal Processing and Optics & Laser Technology.

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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