Man-Fai Leung
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Management Science and Operations Research top 5%
- Computational Theory and Mathematics top 5%
- Electrical and Electronic Engineering
- Co-authors
- Jun WangHangjun CheSin-Chun NgCheng LiuAndrew Kwok-Fai LuiChenglu LiYan ZhengZheng Yan
- Topics
- Face and Expression Recognition (21 papers)Metaheuristic Optimization Algorithms Research (10 papers)Sparse and Compressive Sensing Techniques (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSensors
- Partner nations
- United KingdomChinaHong Kong
In The Last Decade
Man-Fai Leung
76 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Artificial Intelligence 573
- Computer Vision and Pattern Recognition 423
- Management Science and Operations Research 163
- Computational Theory and Mathematics 121
- Electrical and Electronic Engineering 115
Countries citing papers authored by Man-Fai Leung
This map shows the geographic impact of Man-Fai Leung'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 Man-Fai Leung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Man-Fai Leung more than expected).
Fields of papers citing papers by Man-Fai Leung
This network shows the impact of papers produced by Man-Fai Leung. 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 Man-Fai Leung. The network helps show where Man-Fai Leung may publish in the future.
Co-authorship network of co-authors of Man-Fai Leung
This figure shows the co-authorship network connecting the top 25 collaborators of Man-Fai Leung. A scholar is included among the top collaborators of Man-Fai Leung 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 Man-Fai Leung. Man-Fai Leung 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 | 2 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 23 | |
| 9 | 19 | |
| 10 | 7 | |
| 11 | 7 | |
| 12 | 7 | |
| 13 | 28 | |
| 14 | 2 | |
| 15 | 46 | |
| 16 | 5 | |
| 17 | A BERT Framework to Sentiment Analysis of Tweetsbreakdown → | 109 |
| 18 | 25 | |
| 19 | 36 | |
| 20 | 25 |
About Man-Fai Leung
Man-Fai Leung is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Urban Studies, having authored 88 papers that have together received 1.4k indexed citations. Recurring topics across this work include Face and Expression Recognition (21 papers), Metaheuristic Optimization Algorithms Research (10 papers) and Sparse and Compressive Sensing Techniques (8 papers). The work is most often cited by research in Computational Mathematics (61 citations), Computer Vision and Pattern Recognition (423 citations) and Artificial Intelligence (573 citations). Man-Fai Leung has collaborated with scholars based in United Kingdom, China and Hong Kong. Frequent co-authors include Jun Wang, Hangjun Che, Sin-Chun Ng, Cheng Liu, Andrew Kwok-Fai Lui, Chenglu Li, Yan Zheng, Zheng Yan, Shiping Wen and Keping Yu. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.
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.