Choh Man Teng
- Artificial Intelligence top 10%
- History and Philosophy of Science top 5%
- Philosophy top 5%
- Computational Theory and Mathematics
- Experimental and Cognitive Psychology
- Co-authors
- Henry E. KyburgJames F. AllenLucian GalescuGregory WheelerDavid DanksRichard ScheinesPeter SpirtesClark Glymour
- Topics
- Semantic Web and Ontologies (11 papers)Topic Modeling (10 papers)Natural Language Processing Techniques (9 papers)
- Partner nations
- United StatesPortugalFrance
In The Last Decade
Choh Man Teng
25 papers receiving 189 citations
Peers
Comparison fields: 5 of 45
- Artificial Intelligence 140
- History and Philosophy of Science 49
- Philosophy 44
- Computational Theory and Mathematics 25
- Experimental and Cognitive Psychology 22
Countries citing papers authored by Choh Man Teng
This map shows the geographic impact of Choh Man Teng'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 Choh Man Teng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Choh Man Teng more than expected).
Fields of papers citing papers by Choh Man Teng
This network shows the impact of papers produced by Choh Man Teng. 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 Choh Man Teng. The network helps show where Choh Man Teng may publish in the future.
Co-authorship network of co-authors of Choh Man Teng
This figure shows the co-authorship network connecting the top 25 collaborators of Choh Man Teng. A scholar is included among the top collaborators of Choh Man Teng 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 Choh Man Teng. Choh Man Teng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 10 | |
| 7 | 2 | |
| 8 | Broad Coverage, Domain-Generic Deep Semantic Parsing | 7 |
| 9 | 8 | |
| 10 | 11 | |
| 11 | Discovering and Characterizing Emerging Events in Big Data. | 1 |
| 12 | 1 | |
| 13 | Automatically Deriving Event Ontologies for a CommonSense Knowledge Base | 4 |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 0 | |
| 17 | 35 | |
| 18 | 20 | |
| 19 | A Comparison of Standard and Interval Association Rules | 2 |
| 20 | 12 |
About Choh Man Teng
Choh Man Teng is a scholar working on Artificial Intelligence, History and Philosophy of Science and Computational Theory and Mathematics, having authored 26 papers that have together received 199 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (11 papers), Topic Modeling (10 papers) and Natural Language Processing Techniques (9 papers). The work is most often cited by research in History and Philosophy of Science (49 citations), General Decision Sciences (10 citations) and Artificial Intelligence (140 citations). Choh Man Teng has collaborated with scholars based in United States, Portugal and France. Frequent co-authors include Henry E. Kyburg, James F. Allen, Lucian Galescu, Gregory Wheeler, David Danks, Richard Scheines, Peter Spirtes, Clark Glymour, Jiji Zhang and Joseph Ramsey. Their work appears in journals such as International Journal of Approximate Reasoning, Synthese and Language Resources and Evaluation.
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.