Weng Kee Wong
- Statistics and Probability top 0.5%
- Statistical Methods in Clinical Trials 61
- Statistical Methods and Inference 19
- Statistical Methods and Bayesian Inference 14
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- Optimal Experimental Design Methods 117
- Computational Theory and Mathematics top 0.5%
- Advanced Multi-Objective Optimization Algorithms 103
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- Probabilistic and Robust Engineering Design 20
- Rheumatology top 2%
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- Manufacturing Process and Optimization 19
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- Metaheuristic Optimization Algorithms Research 14
- Co-authors
- Lawrence C. HamiltonCatherine M. CrespiR. Dennis CookSheng WuMartijn P. F. BergerHolger DetteHongquan XuRay‐Bing Chen
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchComputational Theory and Mathematics
- Journals
- Statistics in Medicine (10 papers)Statistical Methods in Medical Research (8 papers)Statistics and Computing (7 papers)
- 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
- Statistics and Probability 962
- Management Science and Operations Research 1.3k
- Computational Theory and Mathematics 1.1k
- Statistics, Probability and Uncertainty 442
- Rheumatology 387
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
The 25 scholars most cited alongside Weng Kee Wong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 4 | |
| 7 | 2022 | 7 | |
| 8 | 2022 | 0 | |
| 9 | 2021 | 10 | |
| 10 | 2015 | 6 | |
| 11 | 2011 | 15 | |
| 12 | 2010 | 19 | |
| 13 | 2009 | 2 | |
| 14 | Optimal design for goodness-of-fit of the Michaelis-Menten enzyme kinetic function | 2004 | 1 |
| 15 | 2004 | 6 | |
| 16 | 2000 | 8 | |
| 17 | 1998 | 18 | |
| 18 | Recurrence Moment Formulas for D-optimal Designs | 1995 | 3 |
| 19 | 1995 | 15 | |
| 20 | 1995 | 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), Statistical Methods in Clinical Trials (61 papers), Probabilistic and Robust Engineering Design (20 papers), Manufacturing Process and Optimization (19 papers), Statistical Methods and Inference (19 papers), Metaheuristic Optimization Algorithms Research (14 papers) and Statistical Methods and Bayesian Inference (14 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 Statistics in Medicine, Statistical Methods in Medical Research, Statistics and Computing, Contemporary Clinical Trials and Biometrics.
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.