Yun Sing Koh
- Artificial Intelligence top 2%
- Information Systems top 2%
- Signal Processing top 5%
- Computational Theory and Mathematics top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Gillian DobbieShafiq AlamPatricia RiddleRussel PearsSaeed Ur RehmanNathan RountreeSri Devi RavanaJunhao Wen
- Topics
- Data Stream Mining Techniques (23 papers)Data Mining Algorithms and Applications (14 papers)Anomaly Detection Techniques and Applications (13 papers)
- Partner nations
- New ZealandChinaAustralia
In The Last Decade
Yun Sing Koh
73 papers receiving 949 citations
Peers
Comparison fields: 5 of 107
- Artificial Intelligence 636
- Information Systems 395
- Signal Processing 156
- Computational Theory and Mathematics 145
- Computer Networks and Communications 145
Countries citing papers authored by Yun Sing Koh
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 6 | |
| 12 | 3 | |
| 13 | 55 | |
| 14 | Effects of Objective and Subjective Competence on the Reliability of Crowdsourced Relevance Judgments. | 2 |
| 15 | 33 | |
| 16 | Indirect weighted association rules mining for academic network collaboration recommendations | 2 |
| 17 | New Frontiers in Applied Data Mining: PAKDD 2011 International Workshops | 1 |
| 18 | 33 | |
| 19 | Non-redundant rare itemset generation | 1 |
| 20 | Rare association rule mining via transaction clustering | 12 |
About Yun Sing Koh
Yun Sing Koh is a scholar working on Artificial Intelligence, Signal Processing and Information Systems, having authored 81 papers that have together received 986 indexed citations. Recurring topics across this work include Data Stream Mining Techniques (23 papers), Data Mining Algorithms and Applications (14 papers) and Anomaly Detection Techniques and Applications (13 papers). The work is most often cited by research in Artificial Intelligence (636 citations), Information Systems (395 citations) and Signal Processing (156 citations). Yun Sing Koh has collaborated with scholars based in New Zealand, China and Australia. Frequent co-authors include Gillian Dobbie, Shafiq Alam, Patricia Riddle, Russel Pears, Saeed Ur Rehman, Nathan Rountree, Sri Devi Ravana, Junhao Wen, Wei Zhou and Jerry Chun‐Wei Lin. Their work appears in journals such as PLoS ONE, Computers in Human Behavior and Expert Systems with Applications.
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.