Yew-Kwong Woon

611 citations
9 papers · 339 indexed · h-index 6
Topics
Data Mining Algorithms and Applications (5 papers)Imbalanced Data Classification Techniques (4 papers)Rough Sets and Fuzzy Logic (3 papers)
Journals
Knowledge and Information SystemsInstitutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University)
Partner nations
SingaporeFrance

In The Last Decade

Yew-Kwong Woon

9 papers receiving 321 citations

Peers

Yew-Kwong Woon
Comparison fields: 5 of 49
  • Artificial Intelligence 257
  • Signal Processing 114
  • Information Systems 91
  • Computer Networks and Communications 62
  • Computational Theory and Mathematics 44
Replace Anton Dries with:
Anton Dries Belgium
Bruno Crémilleux France
Odysseas Papapetrou Germany
Duy-Tai Dinh Japan
Jingwei Cheng China
Rafael Morales-Bueno Spain
Ahcène Bendjoudi Algeria
Jianchao Han United States
Robert E. Stepp United States
Zineb Habbas France
Yew-Kwong Woon relative to Anton Dries Belgium Anton Dries's profile →
Citations per field
00.5×
Anton Dries · 1×
Citations per year

Countries citing papers authored by Yew-Kwong Woon

Since Specialization
Citations

This map shows the geographic impact of Yew-Kwong Woon'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 Yew-Kwong Woon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yew-Kwong Woon more than expected).

Fields of papers citing papers by Yew-Kwong Woon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yew-Kwong Woon. 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 Yew-Kwong Woon. The network helps show where Yew-Kwong Woon may publish in the future.

Co-authorship network of co-authors of Yew-Kwong Woon

This figure shows the co-authorship network connecting the top 25 collaborators of Yew-Kwong Woon. A scholar is included among the top collaborators of Yew-Kwong Woon 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 Yew-Kwong Woon. Yew-Kwong Woon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

About Yew-Kwong Woon

Yew-Kwong Woon is a scholar working on Signal Processing, Information Systems and Computational Theory and Mathematics, having authored 9 papers that have together received 339 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (5 papers), Imbalanced Data Classification Techniques (4 papers) and Rough Sets and Fuzzy Logic (3 papers). The work is most often cited by research in Signal Processing (114 citations), Artificial Intelligence (257 citations) and Information Systems (91 citations). Yew-Kwong Woon has collaborated with scholars based in Singapore and France. Frequent co-authors include Wee Keong Ng, Hai-Long Nguyen, A. Das, See-Kiong Ng, Xiaoli Li, Hong Cao, Ee‐Peng Lim and Wenfeng Lu. Their work appears in journals such as Knowledge and Information Systems and Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University).

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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