Kwok-Ping Chan

541 citations
23 papers · 396 · h-index 8

Impact in

Papers in

    • Face and Expression Recognition 10
    • Advanced Image and Video Retrieval Techniques 5
    • Face recognition and analysis 4
    • Image Retrieval and Classification Techniques 3
    • Handwritten Text Recognition Techniques 2
    • Text and Document Classification Technologies 3

Kwok-Ping Chan

22 papers receiving 363 citations

Peers

Kwok-Ping Chan
Comparison fields: 5 of 69
  • Computer Vision and Pattern Recognition 232
  • Media Technology 69
  • Signal Processing 68
  • Experimental and Cognitive Psychology 37
  • Global and Planetary Change 63
Replace Marcela Charfuelàn with:
Marcela Charfuelàn Germany
Inge Gavăt Romania
Xi Gong China
K. K. Thyagharajan India
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Mohamed Dahmane Canada
Sergey Sukhanov Germany
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Citations per field
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Citations per year

Countries citing papers authored by Kwok-Ping Chan

Since Specialization
Citations

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

Fields of papers citing papers by Kwok-Ping Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kwok-Ping Chan. 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 Kwok-Ping Chan. The network helps show where Kwok-Ping Chan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Detecting the nature of change in an urban environment : A comparison of machine learning algorithms
2001121
2 201094
3 200937
4 199533
5 200928
6 201011
7 20099
8 20158
9 20047
10 20117
11 20147
12 19966
13 19986
14 19924
15 20073
16 20083
17 20153
18 20103
19 20092
20 19941

About Kwok-Ping Chan

Kwok-Ping Chan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Information Systems and Media Technology, having authored 23 papers that have together received 396 indexed citations. Recurring topics across this work include Face and Expression Recognition (10 papers), Advanced Image and Video Retrieval Techniques (5 papers), Face recognition and analysis (4 papers), Data Mining Algorithms and Applications (3 papers), Remote-Sensing Image Classification (3 papers), Image Retrieval and Classification Techniques (3 papers), Text and Document Classification Technologies (3 papers) and Handwritten Text Recognition Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (232 citations), Media Technology (69 citations), Signal Processing (68 citations), Experimental and Cognitive Psychology (37 citations) and Global and Planetary Change (63 citations). Kwok-Ping Chan has collaborated with scholars based in Hong Kong, Singapore and China. Frequent co-authors include Lifeng Shang, Jonathan Cheung-Wai Chan, Anthony Gar‐On Yeh, Fei Wang, Xian‐Sheng Hua, Linjun Yang, Dacheng Tao, Si Si, Li Chen and Truong Q. Nguyen. Their work appears in journals such as IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), IEEE Transactions on Signal Processing, IEEE Signal Processing Letters, Multimedia Tools and Applications and Photogrammetric Engineering & Remote Sensing.

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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