Sheng-Tun Li

54 papers and 1.1k indexed citations i.

About

Sheng-Tun Li is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Sheng-Tun Li has authored 54 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 13 papers in Management Science and Operations Research and 12 papers in Information Systems. Recurrent topics in Sheng-Tun Li’s work include Stock Market Forecasting Methods (10 papers), Data Mining Algorithms and Applications (9 papers) and Rough Sets and Fuzzy Logic (9 papers). Sheng-Tun Li is often cited by papers focused on Stock Market Forecasting Methods (10 papers), Data Mining Algorithms and Applications (9 papers) and Rough Sets and Fuzzy Logic (9 papers). Sheng-Tun Li collaborates with scholars based in Taiwan, United States and Saudi Arabia. Sheng-Tun Li's co-authors include Yi‐Chung Cheng, Chih‐Cheng Chen, Kuo‐Chin Hsu, Chinho Lin, Kuan‐Ju Chen, Chung‐Nan Lee, Chuan-Kang Ting, Salvador García, Francisco Herrera and Shu‐Ching Chen and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Sheng-Tun Li i

Fields of papers citing papers by Sheng-Tun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheng-Tun Li. 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 Sheng-Tun Li. The network helps show where Sheng-Tun Li may publish in the future.

Countries citing papers authored by Sheng-Tun Li

Since Specialization
Citations

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

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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