Yun Sing Koh

56 papers and 630 indexed citations i.

About

Yun Sing Koh is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Yun Sing Koh has authored 56 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 18 papers in Information Systems and 12 papers in Signal Processing. Recurrent topics in Yun Sing Koh’s work include Adaptation to Concept Drift in Data Streams (21 papers), Anomaly Detection Techniques and Applications (13 papers) and Time Series Analysis and Forecasting (10 papers). Yun Sing Koh is often cited by papers focused on Adaptation to Concept Drift in Data Streams (21 papers), Anomaly Detection Techniques and Applications (13 papers) and Time Series Analysis and Forecasting (10 papers). Yun Sing Koh collaborates with scholars based in New Zealand, China and France. Yun Sing Koh's co-authors include Gillian Dobbie, Shafiq Alam, Patricia Riddle, Russel Pears, Saeed Ur Rehman, Sri Devi Ravana, Philippe Fournier‐Viger, Albert Bifet, Hamido Fujita and Jerry Chun‐Wei Lin and has published in prestigious journals such as PLoS ONE, Computers in Human Behavior and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Yun Sing Koh i

Fields of papers citing papers by Yun Sing Koh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yun Sing Koh. 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 Yun Sing Koh. The network helps show where Yun Sing Koh may publish in the future.

Countries citing papers authored by Yun Sing Koh

Since Specialization
Citations

This map shows the geographic impact of Yun Sing Koh'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 Yun Sing Koh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun Sing Koh 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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2025