Wooi-Haw Tan

544 total citations
59 papers, 315 citations indexed

About

Wooi-Haw Tan is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Wooi-Haw Tan has authored 59 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 14 papers in Biomedical Engineering and 13 papers in Artificial Intelligence. Recurrent topics in Wooi-Haw Tan's work include Human Pose and Action Recognition (10 papers), Gait Recognition and Analysis (9 papers) and Anomaly Detection Techniques and Applications (8 papers). Wooi-Haw Tan is often cited by papers focused on Human Pose and Action Recognition (10 papers), Gait Recognition and Analysis (9 papers) and Anomaly Detection Techniques and Applications (8 papers). Wooi-Haw Tan collaborates with scholars based in Malaysia, India and France. Wooi-Haw Tan's co-authors include Ai Hui Tan, Hamid A. Jalab, Yi-Fei Tan, Junaidi Abdullah, Rajasvaran Logeswaran, Vishnu Monn Baskaran, KokSheik Wong, Raphaël C.‐W. Phan, Mohammad Faizal Ahmad Fauzi and Wan Mimi Diyana Wan Zaki and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Pattern Recognition Letters.

In The Last Decade

Wooi-Haw Tan

56 papers receiving 301 citations

Peers

Wooi-Haw Tan
Comparison fields: 5 of 82
  • Computer Vision and Pattern Recognition 125
  • Artificial Intelligence 81
  • Biomedical Engineering 50
  • Electrical and Electronic Engineering 44
  • Computer Networks and Communications 41
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Citations per field, relative to Wooi-Haw Tan
Wooi-Haw Tan · 1×
Citations per year, relative to Wooi-Haw Tan
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Countries citing papers authored by Wooi-Haw Tan

Since Specialization
Citations

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

Fields of papers citing papers by Wooi-Haw Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wooi-Haw Tan. 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 Wooi-Haw Tan. The network helps show where Wooi-Haw Tan may publish in the future.

Co-authorship network of co-authors of Wooi-Haw Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Wooi-Haw Tan. A scholar is included among the top collaborators of Wooi-Haw Tan 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 Wooi-Haw Tan. Wooi-Haw Tan 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
# Work Indexed citations
1 0
2 1
3 4
4 1
5 1
6 1
7 3
8 0
9 2
10 3
11 4
12 14
13 5
14 6
15 29
16
Multi-View Gait Based Human Identification System with Covariate Analysis
2
17
An adaptive fuzzy image smoothing filter for Gaussian noise
1
18 1
19 3
20 2

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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