Chee-Keong Kwoh
- Molecular Biology top 10%
- Computational Theory and Mathematics top 0.5%
- Artificial Intelligence top 5%
- Cancer Research
- Materials Chemistry
- Co-authors
- Xiaoli LiMin WuSee-Kiong NgPeng YangJian-Ping MeiJie ZhengAli EzzatPeilin Zhao
- Topics
- Computational Drug Discovery Methods (11 papers)Bioinformatics and Genomic Networks (10 papers)Gene expression and cancer classification (10 papers)
- Journals
- BioinformaticsPLoS ONEIEEE Access
- Partner nations
- SingaporeChinaUnited Kingdom
In The Last Decade
Chee-Keong Kwoh
36 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 118
- Molecular Biology 1.2k
- Computational Theory and Mathematics 744
- Artificial Intelligence 224
- Cancer Research 120
- Materials Chemistry 118
Countries citing papers authored by Chee-Keong Kwoh
This map shows the geographic impact of Chee-Keong Kwoh'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 Chee-Keong Kwoh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chee-Keong Kwoh more than expected).
Fields of papers citing papers by Chee-Keong Kwoh
This network shows the impact of papers produced by Chee-Keong Kwoh. 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 Chee-Keong Kwoh. The network helps show where Chee-Keong Kwoh may publish in the future.
Co-authorship network of co-authors of Chee-Keong Kwoh
This figure shows the co-authorship network connecting the top 25 collaborators of Chee-Keong Kwoh. A scholar is included among the top collaborators of Chee-Keong Kwoh 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 Chee-Keong Kwoh. Chee-Keong Kwoh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 51 | |
| 2 | 36 | |
| 3 | 29 | |
| 4 | 22 | |
| 5 | 7 | |
| 6 | 27 | |
| 7 | Toward Multi-Diversified Ensemble Clustering of High-Dimensional Data. | 1 |
| 8 | 86 | |
| 9 | 10 | |
| 10 | 8 | |
| 11 | 36 | |
| 12 | 80 | |
| 13 | 2 | |
| 14 | 4 | |
| 15 | 68 | |
| 16 | 259 | |
| 17 | 5 | |
| 18 | 3 | |
| 19 | 4 | |
| 20 | 37 |
About Chee-Keong Kwoh
Chee-Keong Kwoh is a scholar working on Computational Theory and Mathematics, Molecular Biology and Virology, having authored 37 papers that have together received 1.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Bioinformatics and Genomic Networks (10 papers) and Gene expression and cancer classification (10 papers). The work is most often cited by research in Computational Theory and Mathematics (744 citations), Molecular Biology (1.2k citations) and Cancer Research (120 citations). Chee-Keong Kwoh has collaborated with scholars based in Singapore, China and United Kingdom. Frequent co-authors include Xiaoli Li, Min Wu, See-Kiong Ng, Peng Yang, Jian-Ping Mei, Jie Zheng, Ali Ezzat, Peilin Zhao, Duncan Gillies and Dong Huang. Their work appears in journals such as Bioinformatics, PLoS ONE and IEEE Access.
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.