Chin Poo Lee
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Biomedical Engineering top 10%
- Human-Computer Interaction top 1%
- Information Systems top 5%
- Co-authors
- Kian Ming LimAlan W.C. TanKalaiarasi Sonai Muthu AnbananthenShing Chiang TanAli AlqahtaniLee Chung KwekTee ConnieCheng-Yaw Low
- Topics
- Human Pose and Action Recognition (25 papers)Hand Gesture Recognition Systems (20 papers)Gait Recognition and Analysis (18 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEExpert Systems with Applications
- Partner nations
- MalaysiaSaudi ArabiaChina
In The Last Decade
Chin Poo Lee
103 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Computer Vision and Pattern Recognition 704
- Artificial Intelligence 590
- Biomedical Engineering 359
- Human-Computer Interaction 328
- Information Systems 143
Countries citing papers authored by Chin Poo Lee
This map shows the geographic impact of Chin Poo 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 Chin Poo Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chin Poo Lee more than expected).
Fields of papers citing papers by Chin Poo Lee
This network shows the impact of papers produced by Chin Poo 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 Chin Poo Lee. The network helps show where Chin Poo Lee may publish in the future.
Co-authorship network of co-authors of Chin Poo Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Chin Poo Lee. A scholar is included among the top collaborators of Chin Poo 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 Chin Poo Lee. Chin Poo Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 10 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | A Survey of Sentiment Analysis: Approaches, Datasets, and Future Researchbreakdown → | 88 |
| 10 | 8 | |
| 11 | 4 | |
| 12 | 38 | |
| 13 | 42 | |
| 14 | 1 | |
| 15 | 32 | |
| 16 | 7 | |
| 17 | 4 | |
| 18 | 1 | |
| 19 | 55 | |
| 20 | 30 |
About Chin Poo Lee
Chin Poo Lee is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Media Technology, having authored 117 papers that have together received 1.7k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (25 papers), Hand Gesture Recognition Systems (20 papers) and Gait Recognition and Analysis (18 papers). The work is most often cited by research in Human-Computer Interaction (328 citations), Computer Vision and Pattern Recognition (704 citations) and Artificial Intelligence (590 citations). Chin Poo Lee has collaborated with scholars based in Malaysia, Saudi Arabia and China. Frequent co-authors include Kian Ming Lim, Alan W.C. Tan, Kalaiarasi Sonai Muthu Anbananthen, Shing Chiang Tan, Ali Alqahtani, Lee Chung Kwek, Tee Connie, Cheng-Yaw Low, Kalaiarasi Sonai Muthu and Mohammed Ali. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.
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.