Weng Kee Wong

202 papers and 3.9k indexed citations i.

About

Weng Kee Wong is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Statistics and Probability. According to data from OpenAlex, Weng Kee Wong has authored 202 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Management Science and Operations Research, 96 papers in Computational Theory and Mathematics and 75 papers in Statistics and Probability. Recurrent topics in Weng Kee Wong’s work include Optimal Experimental Design Methods (111 papers), Advanced Multi-Objective Optimization Algorithms (95 papers) and Statistical Methods in Clinical Trials (62 papers). Weng Kee Wong is often cited by papers focused on Optimal Experimental Design Methods (111 papers), Advanced Multi-Objective Optimization Algorithms (95 papers) and Statistical Methods in Clinical Trials (62 papers). Weng Kee Wong collaborates with scholars based in United States, Germany and Singapore. Weng Kee Wong's co-authors include Lawrence C. Hamilton, Catherine M. Crespi, R. Dennis Cook, Sheng Wu, Holger Dette, Hongquan Xu, Ray‐Bing Chen, Belmiro P.M. Duarte, Philip J. Clements and Wei Zhu and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Weng Kee Wong i

Fields of papers citing papers by Weng Kee Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Weng Kee Wong

Since Specialization
Citations

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).

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.

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