Mun Wai Lee

1.7k citations
30 papers · 1.0k indexed · h-index 13
Topics
Video Surveillance and Tracking Methods (12 papers)Human Pose and Action Recognition (8 papers)Advanced Image and Video Retrieval Techniques (8 papers)

In The Last Decade

Mun Wai Lee

28 papers receiving 926 citations

Peers

Mun Wai Lee
Comparison fields: 5 of 98
  • Computer Vision and Pattern Recognition 731
  • Biomedical Engineering 237
  • Artificial Intelligence 198
  • Automotive Engineering 121
  • Human-Computer Interaction 71
Replace Xiaoyu Wu with:
Xiaoyu Wu China
Mohammad S. Hasan United Kingdom
Jia-Li Yin Taiwan
Haisen Zhao China
Yufan Liu China
Miaolong Yuan Singapore
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Mohammad Rafiq Swash United Kingdom
Mun Wai Lee relative to Xiaoyu Wu China Xiaoyu Wu's profile →
Citations per field
00.5×4.2×
Xiaoyu Wu · 1×
Citations per year

Countries citing papers authored by Mun Wai Lee

Since Specialization
Citations

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

Fields of papers citing papers by Mun Wai Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mun Wai Lee. 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 Mun Wai Lee. The network helps show where Mun Wai Lee may publish in the future.

Co-authorship network of co-authors of Mun Wai Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Mun Wai Lee. A scholar is included among the top collaborators of Mun Wai Lee 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 Mun Wai Lee. Mun Wai Lee 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 2
2 0
3 0
4 16
5 1
6 3
7 69
8 5
9 202
10 8
11 8
12 72
13 89
14 125
15 81
16
Human pose tracking using multilevel structured models
2
17 5
18 4
19 79
20
Human Body Posture Inference for Immersive Interaction
3

About Mun Wai Lee

Mun Wai Lee is a scholar working on Computer Vision and Pattern Recognition, Ophthalmology and Orthodontics, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (12 papers), Human Pose and Action Recognition (8 papers) and Advanced Image and Video Retrieval Techniques (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (731 citations), Human-Computer Interaction (71 citations) and Automotive Engineering (121 citations). Mun Wai Lee has collaborated with scholars based in United States, Singapore and Malaysia. Frequent co-authors include I. Cohen, Liang Lin, Song-Chun Zhu, Benjamin Yao, Surendra Ranganath, Xiong Yang, Ram Nevatia, Chee Kai Chua, Kah Fai Leong and Florencia Edith Wiria. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and Pattern Recognition.

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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