Thian‐Huat Ong
- Information Systems top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications
- Statistical and Nonlinear Physics
- Co-authors
- Hsinchun ChenZan HuangWingyan ChungBin ZhuJay F. NunamakerG. Alan WangYiwen ZhangMarshall Ramsey
- Topics
- Web Data Mining and Analysis (3 papers)Recommender Systems and Techniques (2 papers)Advanced Text Analysis Techniques (2 papers)
- Journals
- Decision Support SystemsJournal of the American Society for Information Science and TechnologyUA Campus Repository (The University of Arizona)
- Partner nations
- United States
In The Last Decade
Thian‐Huat Ong
8 papers receiving 315 citations
Peers
Comparison fields: 5 of 55
- Information Systems 223
- Artificial Intelligence 163
- Computer Vision and Pattern Recognition 77
- Computer Networks and Communications 49
- Statistical and Nonlinear Physics 30
Countries citing papers authored by Thian‐Huat Ong
This map shows the geographic impact of Thian‐Huat Ong'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 Thian‐Huat Ong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thian‐Huat Ong more than expected).
Fields of papers citing papers by Thian‐Huat Ong
This network shows the impact of papers produced by Thian‐Huat Ong. 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 Thian‐Huat Ong. The network helps show where Thian‐Huat Ong may publish in the future.
Co-authorship network of co-authors of Thian‐Huat Ong
This figure shows the co-authorship network connecting the top 25 collaborators of Thian‐Huat Ong. A scholar is included among the top collaborators of Thian‐Huat Ong 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 Thian‐Huat Ong. Thian‐Huat Ong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 38 | |
| 2 | 88 | |
| 3 | 4 | |
| 4 | 19 | |
| 5 | 3 | |
| 6 | 145 | |
| 7 | Updateable PAT-Tree Approach to Chinese Key PhraseExtraction using Mutual Information: A Linguistic Foundation for Knowledge Management | 30 |
| 8 | 24 |
About Thian‐Huat Ong
Thian‐Huat Ong is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 8 papers that have together received 351 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (3 papers), Recommender Systems and Techniques (2 papers) and Advanced Text Analysis Techniques (2 papers). The work is most often cited by research in Information Systems (223 citations), Artificial Intelligence (163 citations) and Computer Vision and Pattern Recognition (77 citations). Thian‐Huat Ong has collaborated with scholars based in United States. Frequent co-authors include Hsinchun Chen, Zan Huang, Wingyan Chung, Bin Zhu, Jay F. Nunamaker, G. Alan Wang, Yiwen Zhang and Marshall Ramsey. Their work appears in journals such as Decision Support Systems, Journal of the American Society for Information Science and Technology and UA Campus Repository (The University of Arizona).
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.