Liang-Chih Yu

73 total papers · 2.1k total citations
56 papers, 1.4k citations indexed

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 56 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Artificial Intelligence, 7 papers in Social Psychology and 6 papers in Molecular Biology. Recurrent topics in Liang-Chih Yu's work include Sentiment Analysis and Opinion Mining (30 papers), Advanced Text Analysis Techniques (29 papers) and Topic Modeling (29 papers). Liang-Chih Yu is often cited by papers focused on Sentiment Analysis and Opinion Mining (30 papers), Advanced Text Analysis Techniques (29 papers) and Topic Modeling (29 papers). Liang-Chih Yu collaborates with scholars based in Taiwan, China and United States. Liang-Chih Yu's co-authors include K. Robert Lai, Jin Wang, Xuejie Zhang, Xuejie Zhang, Jheng-Long Wu, Pei‐Chann Chang, Chien‐Lung Chan, Chung‐Hsien Wu, Fong-Lin Jang and Lung‐Hao Lee and has published in prestigious journals such as IEEE Access, International Journal of Production Economics and Artificial Intelligence.

In The Last Decade

Liang-Chih Yu

54 papers receiving 1.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Liang-Chih Yu 917 165 142 122 120 56 1.4k
Ashwin Ram 1.2k 1.3× 209 1.3× 60 0.4× 80 0.7× 113 0.9× 116 1.8k
Mihaela Vorvoreanu 545 0.6× 232 1.4× 225 1.6× 50 0.4× 273 2.3× 47 1.6k
James Shaw 726 0.8× 76 0.5× 34 0.2× 160 1.3× 85 0.7× 25 1.5k
Kenneth M. Ford 416 0.5× 119 0.7× 56 0.4× 88 0.7× 84 0.7× 63 1.2k
Barry G. Silverman 428 0.5× 161 1.0× 52 0.4× 60 0.5× 220 1.8× 98 1.3k
Robert Farrell 707 0.8× 266 1.6× 267 1.9× 103 0.8× 77 0.6× 42 1.4k
Avelino J. González 725 0.8× 258 1.6× 67 0.5× 33 0.3× 85 0.7× 150 1.6k
Kobi Gal 714 0.8× 100 0.6× 252 1.8× 85 0.7× 369 3.1× 126 1.7k
Ming Liu 345 0.4× 141 0.9× 169 1.2× 49 0.4× 64 0.5× 70 1.4k
Chenhao Tan 838 0.9× 241 1.5× 80 0.6× 50 0.4× 234 1.9× 88 1.5k

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Liang-Chih Yu. A scholar is included among the top collaborators of Liang-Chih Yu 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 Liang-Chih Yu. Liang-Chih Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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