Yun Sing Koh

2.2k total citations
81 papers, 986 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 81 papers receiving a total of 986 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Artificial Intelligence, 29 papers in Information Systems and 15 papers in Signal Processing. Recurrent topics in Yun Sing Koh's work include Data Stream Mining Techniques (23 papers), Data Mining Algorithms and Applications (14 papers) and Anomaly Detection Techniques and Applications (13 papers). Yun Sing Koh is often cited by papers focused on Data Stream Mining Techniques (23 papers), Data Mining Algorithms and Applications (14 papers) and Anomaly Detection Techniques and Applications (13 papers). Yun Sing Koh collaborates with scholars based in New Zealand, China and Australia. Yun Sing Koh's co-authors include Gillian Dobbie, Shafiq Alam, Patricia Riddle, Russel Pears, Saeed Ur Rehman, Nathan Rountree, Sri Devi Ravana, Wei Zhou, Junhao Wen and Hamido Fujita 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

73 papers receiving 949 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yun Sing Koh New Zealand 17 636 395 156 145 145 81 986
Tho Quan Vietnam 15 603 0.9× 397 1.0× 235 1.5× 184 1.3× 286 2.0× 99 1.1k
Andrea Vattani United States 11 476 0.7× 144 0.4× 184 1.2× 96 0.7× 157 1.1× 14 833
Yün Peng China 14 457 0.7× 354 0.9× 87 0.6× 98 0.7× 233 1.6× 46 948
O. P. Vyas India 17 498 0.8× 384 1.0× 142 0.9× 69 0.5× 353 2.4× 120 1.1k
Rosa Meo Italy 13 322 0.5× 340 0.9× 205 1.3× 156 1.1× 181 1.2× 51 717
Tieyun Qian China 20 1.2k 1.9× 659 1.7× 206 1.3× 39 0.3× 132 0.9× 82 1.7k
Mohammad A. Hassonah Jordan 11 635 1.0× 219 0.6× 88 0.6× 116 0.8× 193 1.3× 12 978
Chris Giannella United States 14 786 1.2× 439 1.1× 352 2.3× 117 0.8× 571 3.9× 35 1.2k

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

20 of 20 papers shown
1.
Walker, Caroline, et al.. (2025). Thematic-LM: A LLM-based Multi-agent System for Large-scale Thematic Analysis. 649–658. 2 indexed citations
2.
3.
Wang, Qifan, et al.. (2025). XGT: Fast and Secure Decision Tree Training and Inference on GPUs. IEEE Transactions on Dependable and Secure Computing. 22(6). 7479–7494.
4.
Zhao, Di, Yun Sing Koh, Gillian Dobbie, Hongsheng Hu, & Philippe Fournier‐Viger. (2024). Symmetric Self-Paced Learning for Domain Generalization. Proceedings of the AAAI Conference on Artificial Intelligence. 38(15). 16961–16969. 2 indexed citations
5.
Biddle, Robert, Nalin Asanka Gamagedara Arachchilage, Yun Sing Koh, et al.. (2024). The Impact of Workload on Phishing Susceptibility: An Experiment. 1 indexed citations
6.
Koh, Yun Sing, et al.. (2024). SSAT-Adapter: Enhancing Vision-Language Model Few-shot Learning with Auxiliary Tasks. 1004–1013. 1 indexed citations
7.
Koh, Yun Sing, et al.. (2023). Evaluating software user feedback classifier performance on unseen apps, datasets, and metadata. Empirical Software Engineering. 28(2). 5 indexed citations
8.
Erfani, Sarah, et al.. (2023). Data Science and Machine Learning. Communications in computer and information science.
9.
Koh, Yun Sing, et al.. (2022). A Probabilistic Framework for Adapting to Changing and Recurring Concepts in Data Streams. arXiv (Cornell University). 1–10. 2 indexed citations
10.
Koh, Yun Sing, et al.. (2021). A Meta-Learning Approach for Automated Hyperparameter Tuning in Evolving Data Streams. 1–8. 3 indexed citations
11.
12.
Dobbie, Gillian, et al.. (2020). SLED: Semi-supervised Locally-weighted Ensemble Detector. 1838–1841. 2 indexed citations
13.
Fournier‐Viger, Philippe, Yimin Zhang, Jerry Chun‐Wei Lin, Hamido Fujita, & Yun Sing Koh. (2019). Mining local and peak high utility itemsets. Information Sciences. 481. 344–367. 55 indexed citations
14.
Ravana, Sri Devi, et al.. (2017). Effects of Objective and Subjective Competence on the Reliability of Crowdsourced Relevance Judgments.. 22(1). 2 indexed citations
15.
Koh, Yun Sing. (2016). CD-TDS: Change detection in transactional data streams for frequent pattern mining. ResearchSpace (University of Auckland). 1554–1561. 10 indexed citations
16.
Pears, Russel, et al.. (2014). A graph based approach to inferring item weights for pattern mining. Expert Systems with Applications. 42(1). 451–461. 3 indexed citations
17.
Koh, Yun Sing & Gillian Dobbie. (2012). Indirect weighted association rules mining for academic network collaboration recommendations. 167–173. 2 indexed citations
18.
Cao, Longbing, et al.. (2012). New Frontiers in Applied Data Mining: PAKDD 2011 International Workshops. Springer eBooks. 1 indexed citations
19.
Koh, Yun Sing & Russel Pears. (2009). Non-redundant rare itemset generation. AUT Scholarly Commons. 101. 69–74. 1 indexed citations
20.
Koh, Yun Sing & Russel Pears. (2008). Rare association rule mining via transaction clustering. Tuwhera (Auckland University of Technology). 88. 87–94. 12 indexed citations

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