Weng Kee Wong
- Management Science and Operations Research top 0.2%
- Computational Theory and Mathematics top 0.5%
- Statistics and Probability top 0.5%
- Statistics, Probability and Uncertainty top 0.5%
- Pathology and Forensic Medicine top 5%
- Co-authors
- Lawrence C. HamiltonCatherine M. CrespiR. Dennis CookSheng WuMartijn P. F. BergerHolger DetteHongquan XuRay‐Bing Chen
- Topics
- Optimal Experimental Design Methods (117 papers)Advanced Multi-Objective Optimization Algorithms (103 papers)Statistical Methods in Clinical Trials (61 papers)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchComputational Theory and Mathematics
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationBioinformatics
- Partner nations
- United StatesGermanySingapore
In The Last Decade
Weng Kee Wong
200 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 210
- Management Science and Operations Research 1.3k
- Computational Theory and Mathematics 1.1k
- Statistics and Probability 962
- Statistics, Probability and Uncertainty 442
- Pathology and Forensic Medicine 391
Countries citing papers authored by Weng Kee Wong
This map shows the geographic impact of Weng Kee Wong'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 Weng Kee Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weng Kee Wong more than expected).
Fields of papers citing papers by Weng Kee Wong
This network shows the impact of papers produced by Weng Kee Wong. 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 Weng Kee Wong. The network helps show where Weng Kee Wong may publish in the future.
Co-authorship network of co-authors of Weng Kee Wong
This figure shows the co-authorship network connecting the top 25 collaborators of Weng Kee Wong. A scholar is included among the top collaborators of Weng Kee Wong 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 Weng Kee Wong. Weng Kee Wong 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 | 3 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 7 | |
| 8 | 0 | |
| 9 | 10 | |
| 10 | 6 | |
| 11 | 15 | |
| 12 | 19 | |
| 13 | 2 | |
| 14 | Optimal design for goodness-of-fit of the Michaelis-Menten enzyme kinetic function | 1 |
| 15 | 6 | |
| 16 | 8 | |
| 17 | 18 | |
| 18 | Recurrence Moment Formulas for D-optimal Designs | 3 |
| 19 | 15 | |
| 20 | 0 |
About Weng Kee Wong
Weng Kee Wong is a scholar working on Management Science and Operations Research, Statistics and Probability and Computational Theory and Mathematics, having authored 211 papers that have together received 4.3k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (117 papers), Advanced Multi-Objective Optimization Algorithms (103 papers) and Statistical Methods in Clinical Trials (61 papers). The work is most often cited by research in Statistics and Probability (962 citations), Management Science and Operations Research (1.3k citations) and Computational Theory and Mathematics (1.1k citations). Weng Kee Wong has collaborated with scholars based in United States, Germany and Singapore. Frequent co-authors include Lawrence C. Hamilton, Catherine M. Crespi, R. Dennis Cook, Sheng Wu, Martijn P. F. Berger, Holger Dette, Hongquan Xu, Ray‐Bing Chen, Belmiro P.M. Duarte and Wei Zhu. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Bioinformatics.
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.