Chai Quek

193 papers and 4.8k indexed citations i.

About

Chai Quek is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computational Theory and Mathematics. According to data from OpenAlex, Chai Quek has authored 193 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Artificial Intelligence, 32 papers in Management Science and Operations Research and 27 papers in Computational Theory and Mathematics. Recurrent topics in Chai Quek’s work include Neural Networks and Applications (91 papers), Fuzzy Logic and Control Systems (72 papers) and Stock Market Forecasting Methods (28 papers). Chai Quek is often cited by papers focused on Neural Networks and Applications (91 papers), Fuzzy Logic and Control Systems (72 papers) and Stock Market Forecasting Methods (28 papers). Chai Quek collaborates with scholars based in Singapore, United Kingdom and Malaysia. Chai Quek's co-authors include Kai Keng Ang, W.L. Tung, Cuntai Guan, Geok See Ng, Dilip K. Prasad, Michel Pasquier, Mahnaz Arvaneh, Deepu Rajan, Abdul Wahab and Eshan Rajabally and has published in prestigious journals such as Journal of Applied Physics, Biomaterials and Langmuir.

In The Last Decade

Co-authorship network of co-authors of Chai Quek i

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Fields of papers citing papers by Chai Quek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chai Quek. 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 Chai Quek. The network helps show where Chai Quek may publish in the future.

Countries citing papers authored by Chai Quek

Since Specialization

Citations

This map shows the geographic impact of Chai Quek'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 Chai Quek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chai Quek 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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