Jon T.S. Quah

28 total papers · 465 total citations
4 papers, 163 citations indexed

About

Jon T.S. Quah is a scholar working on Information Systems, Artificial Intelligence and Accounting. According to data from OpenAlex, Jon T.S. Quah has authored 4 papers receiving a total of 163 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Information Systems, 3 papers in Artificial Intelligence and 2 papers in Accounting. Recurrent topics in Jon T.S. Quah’s work include Imbalanced Data Classification Techniques (2 papers), Financial Distress and Bankruptcy Prediction (2 papers) and Data Mining Algorithms and Applications (2 papers). Jon T.S. Quah is often cited by papers focused on Imbalanced Data Classification Techniques (2 papers), Financial Distress and Bankruptcy Prediction (2 papers) and Data Mining Algorithms and Applications (2 papers). Jon T.S. Quah collaborates with scholars based in Singapore. Jon T.S. Quah's co-authors include and and has published in prestigious journals such as Expert Systems with Applications, Electronic Commerce Research and Applications and IEEE International Conference on Neural Networks.
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Jon T.S. Quah

4 papers receiving 143 citations

Fields of papers citing papers by Jon T.S. Quah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon T.S. Quah. 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 Jon T.S. Quah. The network helps show where Jon T.S. Quah may publish in the future.

Countries citing papers authored by Jon T.S. Quah

Since Specialization
Citations

This map shows the geographic impact of Jon T.S. Quah'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 Jon T.S. Quah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon T.S. Quah 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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2026