William K. Cheung

5.8k citations
230 papers · 3.8k indexed · h-index 31
Topics
Advanced Vision and Imaging (22 papers)Complex Network Analysis Techniques (20 papers)Image Retrieval and Classification Techniques (19 papers)

In The Last Decade

William K. Cheung

210 papers receiving 3.6k citations

Peers

William K. Cheung
Comparison fields: 5 of 170
  • Computer Vision and Pattern Recognition 1.1k
  • Artificial Intelligence 1.0k
  • Information Systems 840
  • Statistical and Nonlinear Physics 500
  • Signal Processing 498
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Citations per field
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Citations per year

Countries citing papers authored by William K. Cheung

Since Specialization
Citations

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

Fields of papers citing papers by William K. Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William K. Cheung. 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 William K. Cheung. The network helps show where William K. Cheung may publish in the future.

Co-authorship network of co-authors of William K. Cheung

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 6
5 16
6 58
7
EssayCritic: Writing to learn with a knowledge-based design critiquing system
26
8
A study of gender differences in ICT competency
1
9
Extracting behavioral motifs for characterizing human daily activities in smart environments
1
10
A study of ICT literacy in Arts and Science students
2
11 36
12
Mobile information exchange and integration: from query to application layer
2
13 82
14
Towards solving large-scale POMDP problems via spatio-temporal belief state clustering
3
15
Dynamic sub-ontology evolution for collaborative problem solving
3
16
Learning global models based on distributed data abstractions
8
17
Web page organization and visualization using generative topographic mapping: A pilot study
0
18
Recognition of handwritten digits using deformable models
1
19
A unified framework for handwritten character recognition using deformable models
3
20
PERFORMANCE OF MPEG-1 VIDEO ON MULTIACCESS INTEGRATED NETWORK
1

About William K. Cheung

William K. Cheung is a scholar working on Computational Mathematics, Signal Processing and Computer Vision and Pattern Recognition, having authored 230 papers that have together received 3.8k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (22 papers), Complex Network Analysis Techniques (20 papers) and Image Retrieval and Classification Techniques (19 papers). The work is most often cited by research in Computational Mathematics (36 citations), Computer Vision and Pattern Recognition (1.1k citations) and Signal Processing (498 citations). William K. Cheung has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Jiming Liu, Lai-Man Po, Bo Yang, Xuyuan Xu, Terence Cheung, Litong Feng, Lejian Liao, H.F. Li, J. Michael Janda and Sharon L. Abbott. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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