Long‐Sheng Chen

75 papers and 1.0k indexed citations i.

About

Long‐Sheng Chen is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Long‐Sheng Chen has authored 75 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 17 papers in Information Systems and 15 papers in Sociology and Political Science. Recurrent topics in Long‐Sheng Chen’s work include Digital Marketing and Social Media (12 papers), Customer Service Quality and Loyalty (11 papers) and Imbalanced Data Classification Techniques (9 papers). Long‐Sheng Chen is often cited by papers focused on Digital Marketing and Social Media (12 papers), Customer Service Quality and Loyalty (11 papers) and Imbalanced Data Classification Techniques (9 papers). Long‐Sheng Chen collaborates with scholars based in Taiwan, China and Indonesia. Long‐Sheng Chen's co-authors include Mu‐Chen Chen, Chun-Chin Hsu, Cheng-Hsiang Liu, Chao‐Ton Su, M CHEN, Kai-Ying Chen, Der‐Chiang Li, Jing–Rong Chang, Yuehwern Yih and Mu‐Yen Chen and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and Sensors.

In The Last Decade

Co-authorship network of co-authors of Long‐Sheng Chen i

Fields of papers citing papers by Long‐Sheng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Long‐Sheng Chen. 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 Long‐Sheng Chen. The network helps show where Long‐Sheng Chen may publish in the future.

Countries citing papers authored by Long‐Sheng Chen

Since Specialization
Citations

This map shows the geographic impact of Long‐Sheng Chen'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 Long‐Sheng Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long‐Sheng Chen 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025