Yun Sing Koh

192 total papers · 2.2k total citations
83 papers, 982 citations indexed

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 83 papers receiving a total of 982 indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Artificial Intelligence, 30 papers in Information Systems and 15 papers in Signal Processing. Recurrent topics in Yun Sing Koh's work include Data Stream Mining Techniques (24 papers), Data Mining Algorithms and Applications (15 papers) and Anomaly Detection Techniques and Applications (13 papers). Yun Sing Koh is often cited by papers focused on Data Stream Mining Techniques (24 papers), Data Mining Algorithms and Applications (15 papers) and Anomaly Detection Techniques and Applications (13 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, Russel Pears, Patricia Riddle, Saeed Ur Rehman, Nathan Rountree, Sri Devi Ravana, Junhao Wen, Wei Zhou and Philippe Fournier‐Viger and has published in prestigious journals such as PLoS ONE, Computers in Human Behavior and Expert Systems with Applications.

In The Last Decade

Yun Sing Koh

75 papers receiving 943 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yun Sing Koh 631 397 156 148 144 83 982
Sabrina Senatore 610 1.0× 332 0.8× 168 1.1× 129 0.9× 167 1.2× 92 1.1k
Rana Forsati 648 1.0× 429 1.1× 85 0.5× 193 1.3× 85 0.6× 39 1.1k
İsmail Hakkı Toroslu 313 0.5× 307 0.8× 130 0.8× 156 1.1× 86 0.6× 85 1.0k
Tho Quan 602 1.0× 396 1.0× 233 1.5× 282 1.9× 182 1.3× 99 1.1k
Pauli Miettinen 310 0.5× 168 0.4× 119 0.8× 96 0.6× 189 1.3× 44 804
Saeed Jalili 509 0.8× 334 0.8× 131 0.8× 251 1.7× 76 0.5× 92 976
Shengli Wu 520 0.8× 380 1.0× 165 1.1× 107 0.7× 46 0.3× 102 1.1k
Zbigniew W. Raś 564 0.9× 384 1.0× 170 1.1× 113 0.8× 331 2.3× 120 1.0k
Peng Zhang 955 1.5× 205 0.5× 157 1.0× 134 0.9× 63 0.4× 67 1.2k
Christos Makris 408 0.6× 400 1.0× 149 1.0× 237 1.6× 57 0.4× 122 1.1k

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Sing Koh. A scholar is included among the top collaborators of Yun Sing Koh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yun Sing Koh. Yun Sing Koh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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