Liang-Chih Yu

43 papers and 980 indexed citations i.

About

Liang-Chih Yu is a scholar working on Artificial Intelligence, Social Psychology and Molecular Biology. According to data from OpenAlex, Liang-Chih Yu has authored 43 papers receiving a total of 980 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 7 papers in Social Psychology and 6 papers in Molecular Biology. Recurrent topics in Liang-Chih Yu’s work include Topic Modeling (23 papers), Sentiment Analysis and Opinion Mining (21 papers) and Advanced Text Analysis Techniques (20 papers). Liang-Chih Yu is often cited by papers focused on Topic Modeling (23 papers), Sentiment Analysis and Opinion Mining (21 papers) and Advanced Text Analysis Techniques (20 papers). Liang-Chih Yu collaborates with scholars based in Taiwan and China. Liang-Chih Yu's co-authors include K. Robert Lai, Jin Wang, Xuejie Zhang, Xuejie Zhang, Pei‐Chann Chang, Jheng-Long Wu, Chien‐Lung Chan, Chung‐Hsien Wu, Fong-Lin Jang and Jun Hu and has published in prestigious journals such as IEEE Access, International Journal of Production Economics and PLoS Computational Biology.

In The Last Decade

Co-authorship network of co-authors of Liang-Chih Yu i

Fields of papers citing papers by Liang-Chih Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liang-Chih Yu. 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 Liang-Chih Yu. The network helps show where Liang-Chih Yu may publish in the future.

Countries citing papers authored by Liang-Chih Yu

Since Specialization
Citations

This map shows the geographic impact of Liang-Chih Yu'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 Liang-Chih Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang-Chih Yu 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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2025