Li-Shiang Tsay
- Information Systems top 5%
- Artificial Intelligence
- Computational Theory and Mathematics top 10%
- Computer Networks and Communications
- Signal Processing
- Co-authors
- Zbigniew W. RaśHanna WasylukAgnieszka DardzińskaAngelina A. TzachevaMoutaz KhoujaHari RajagopalanMirsad HadžikadićSreenivas R. Sukumar
- Topics
- Rough Sets and Fuzzy Logic (7 papers)Data Mining Algorithms and Applications (7 papers)Semantic Web and Ontologies (4 papers)
- Journals
- Decision Support SystemsFundamenta InformaticaeJournal of Experimental & Theoretical Artificial Intelligence
- Partner nations
- United StatesPoland
In The Last Decade
Li-Shiang Tsay
12 papers receiving 164 citations
Peers
Comparison fields: 5 of 47
- Information Systems 113
- Artificial Intelligence 77
- Computational Theory and Mathematics 76
- Computer Networks and Communications 32
- Signal Processing 24
Countries citing papers authored by Li-Shiang Tsay
This map shows the geographic impact of Li-Shiang Tsay'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 Li-Shiang Tsay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li-Shiang Tsay more than expected).
Fields of papers citing papers by Li-Shiang Tsay
This network shows the impact of papers produced by Li-Shiang Tsay. 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 Li-Shiang Tsay. The network helps show where Li-Shiang Tsay may publish in the future.
Co-authorship network of co-authors of Li-Shiang Tsay
This figure shows the co-authorship network connecting the top 25 collaborators of Li-Shiang Tsay. A scholar is included among the top collaborators of Li-Shiang Tsay 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 Li-Shiang Tsay. Li-Shiang Tsay 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 | 17 | |
| 3 | 7 | |
| 4 | 9 | |
| 5 | 3 | |
| 6 | 7 | |
| 7 | 42 | |
| 8 | 1 | |
| 9 | 29 | |
| 10 | 18 | |
| 11 | 3 | |
| 12 | 35 | |
| 13 | Discovery of extended action rules | 1 |
About Li-Shiang Tsay
Li-Shiang Tsay is a scholar working on Computational Theory and Mathematics, Information Systems and Management Science and Operations Research, having authored 13 papers that have together received 172 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (7 papers), Data Mining Algorithms and Applications (7 papers) and Semantic Web and Ontologies (4 papers). The work is most often cited by research in Information Systems (113 citations), Computational Theory and Mathematics (76 citations) and Artificial Intelligence (77 citations). Li-Shiang Tsay has collaborated with scholars based in United States and Poland. Frequent co-authors include Zbigniew W. Raś, Hanna Wasyluk, Agnieszka Dardzińska, Angelina A. Tzacheva, Moutaz Khouja, Hari Rajagopalan, Mirsad Hadžikadić and Sreenivas R. Sukumar. Their work appears in journals such as Decision Support Systems, Fundamenta Informaticae and Journal of Experimental & Theoretical Artificial Intelligence.
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.