Kin‐Choong Yow
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Electrical and Electronic Engineering top 10%
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Co-authors
- Roberto CipollaStéfano Frizzo StefenonGurmail SinghAdemir NiedMoongu JeonLuiz Henrique MeyerChengzhong XuLaio Oriel Seman
- Topics
- Advanced Neural Network Applications (12 papers)Video Surveillance and Tracking Methods (11 papers)Anomaly Detection Techniques and Applications (8 papers)
- Partner nations
- CanadaSingaporeSouth Korea
In The Last Decade
Kin‐Choong Yow
75 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 123
- Computer Vision and Pattern Recognition 757
- Artificial Intelligence 529
- Electrical and Electronic Engineering 316
- Computer Networks and Communications 261
- Information Systems 160
Countries citing papers authored by Kin‐Choong Yow
This map shows the geographic impact of Kin‐Choong Yow'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 Kin‐Choong Yow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kin‐Choong Yow more than expected).
Fields of papers citing papers by Kin‐Choong Yow
This network shows the impact of papers produced by Kin‐Choong Yow. 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 Kin‐Choong Yow. The network helps show where Kin‐Choong Yow may publish in the future.
Co-authorship network of co-authors of Kin‐Choong Yow
This figure shows the co-authorship network connecting the top 25 collaborators of Kin‐Choong Yow. A scholar is included among the top collaborators of Kin‐Choong Yow 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 Kin‐Choong Yow. Kin‐Choong Yow 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 | 4 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 34 | |
| 7 | 0 | |
| 8 | 9 | |
| 9 | 46 | |
| 10 | 15 | |
| 11 | 47 | |
| 12 | 27 | |
| 13 | 74 | |
| 14 | 30 | |
| 15 | 28 | |
| 16 | 10 | |
| 17 | 65 | |
| 18 | 44 | |
| 19 | 48 | |
| 20 | 26 |
About Kin‐Choong Yow
Kin‐Choong Yow is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence, having authored 88 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (12 papers), Video Surveillance and Tracking Methods (11 papers) and Anomaly Detection Techniques and Applications (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (757 citations), Artificial Intelligence (529 citations) and Media Technology (115 citations). Kin‐Choong Yow has collaborated with scholars based in Canada, Singapore and South Korea. Frequent co-authors include Roberto Cipolla, Stéfano Frizzo Stefenon, Gurmail Singh, Ademir Nied, Moongu Jeon, Luiz Henrique Meyer, Chengzhong Xu, Laio Oriel Seman, Zhiyong Xu and Ruixuan Li. Their work appears in journals such as Scientific Reports, IEEE Access and Renewable Energy.
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.