Mei Kuan Lim
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Ocean Engineering top 10%
- Safety, Risk, Reliability and Quality top 10%
- Computer Networks and Communications
- Co-authors
- Chee Seng ChanJoseph K. LiuRaphaël C.‐W. PhanChun Yong ChongChen Change LoyRóisín McNaneyPaolo RemagninoDorothy Monekosso
- Topics
- Video Surveillance and Tracking Methods (9 papers)Anomaly Detection Techniques and Applications (9 papers)Human Pose and Action Recognition (7 papers)
In The Last Decade
Mei Kuan Lim
29 papers receiving 423 citations
Peers
Comparison fields: 5 of 82
- Computer Vision and Pattern Recognition 251
- Artificial Intelligence 179
- Ocean Engineering 67
- Safety, Risk, Reliability and Quality 49
- Computer Networks and Communications 42
Countries citing papers authored by Mei Kuan Lim
This map shows the geographic impact of Mei Kuan Lim'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 Mei Kuan Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei Kuan Lim more than expected).
Fields of papers citing papers by Mei Kuan Lim
This network shows the impact of papers produced by Mei Kuan Lim. 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 Mei Kuan Lim. The network helps show where Mei Kuan Lim may publish in the future.
Co-authorship network of co-authors of Mei Kuan Lim
This figure shows the co-authorship network connecting the top 25 collaborators of Mei Kuan Lim. A scholar is included among the top collaborators of Mei Kuan Lim 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 Mei Kuan Lim. Mei Kuan Lim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 14 | |
| 3 | 29 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 14 | |
| 12 | 78 | |
| 13 | 2 | |
| 14 | 3 | |
| 15 | 30 | |
| 16 | 40 | |
| 17 | 15 | |
| 18 | SwATrack: A Swarm Intelligence-based Abrupt Motion Tracker | 6 |
| 19 | Execution time prediction of imperative paradigm tasks for grid scheduling optimization | 18 |
| 20 | 3 |
About Mei Kuan Lim
Mei Kuan Lim is a scholar working on Computer Vision and Pattern Recognition, Computer Science Applications and Software, having authored 30 papers that have together received 445 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (9 papers), Anomaly Detection Techniques and Applications (9 papers) and Human Pose and Action Recognition (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (251 citations), Artificial Intelligence (179 citations) and Safety, Risk, Reliability and Quality (49 citations). Mei Kuan Lim has collaborated with scholars based in Malaysia, Singapore and Australia. Frequent co-authors include Chee Seng Chan, Joseph K. Liu, Raphaël C.‐W. Phan, Chun Yong Chong, Chen Change Loy, Róisín McNaney, Paolo Remagnino, Dorothy Monekosso, Yee Jiun Yap and Aisha Hassan Abdalla Hashim. Their work appears in journals such as PLoS ONE, Journal of Hydrology 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.