Kwok-Ping Chan

541 citations
23 papers · 395 · h-index 8

Impact in

Papers in

Kwok-Ping Chan

22 papers receiving 360 citations

Peers

Kwok-Ping Chan
Comparison fields: 5 of 69
  • Computer Vision and Pattern Recognition 231
  • Media Technology 69
  • Signal Processing 68
  • Global and Planetary Change 63
  • Experimental and Cognitive Psychology 36
Replace Marcela Charfuelàn with:
Marcela Charfuelàn Germany
K. K. Thyagharajan India
Inge Gavăt Romania
Yibo Huang China
Vladimir Khryashchev Russia
Daniel Moraes Brazil
Mantosh Biswas India
Sergey Sukhanov Germany
Mohamed Dahmane Canada
Raj Shree India
Kwok-Ping Chan relative to Marcela Charfuelàn Germany Marcela Charfuelàn's profile →
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 20147
10 20117
11 20047
12 19966
13 19986
14 19924
15 20103
16 20083
17 20073
18 20152
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 395 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), Text and Document Classification Technologies (3 papers), Image Retrieval and Classification Techniques (3 papers), Remote-Sensing Image Classification (3 papers), Data Mining Algorithms and Applications (3 papers) and Advanced Chemical Sensor Technologies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (231 citations), Media Technology (69 citations), Signal Processing (68 citations), Global and Planetary Change (63 citations) and Experimental and Cognitive Psychology (36 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, Xian‐Sheng Hua, Linjun Yang, Fei Wang, Si Si, Dacheng Tao, Truong Q. Nguyen and Li Chen. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), IEEE Signal Processing Letters, Photogrammetric Engineering & Remote Sensing and IEEE Transactions on Image Processing.

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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