Chao-Lin Liu

33 papers and 288 indexed citations i.

About

Chao-Lin Liu is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chao-Lin Liu has authored 33 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 4 papers in Information Systems and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chao-Lin Liu’s work include Natural Language Processing Techniques (19 papers), Topic Modeling (16 papers) and Bayesian Modeling and Causal Inference (6 papers). Chao-Lin Liu is often cited by papers focused on Natural Language Processing Techniques (19 papers), Topic Modeling (16 papers) and Bayesian Modeling and Causal Inference (6 papers). Chao-Lin Liu collaborates with scholars based in Taiwan and United States. Chao-Lin Liu's co-authors include Mrinal Kanti Baowaly, Chia-Ching Lin, Kuan-Ta Chen, Shih-Hung Wu, Lung‐Hao Lee, Michael P. Wellman, Chia‐Ying Lee, Peter K. Bol, Meng Chang Chen and Tun‐Wen Pai and has published in prestigious journals such as PLoS ONE, Journal of the American Medical Informatics Association and Soft Computing.

In The Last Decade

Co-authorship network of co-authors of Chao-Lin Liu i

Fields of papers citing papers by Chao-Lin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chao-Lin Liu. 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 Chao-Lin Liu. The network helps show where Chao-Lin Liu may publish in the future.

Countries citing papers authored by Chao-Lin Liu

Since Specialization
Citations

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