Yung‐Chun Chang

49 papers and 602 indexed citations i.

About

Yung‐Chun Chang is a scholar working on Artificial Intelligence, Molecular Biology and Sociology and Political Science. According to data from OpenAlex, Yung‐Chun Chang has authored 49 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 12 papers in Molecular Biology and 7 papers in Sociology and Political Science. Recurrent topics in Yung‐Chun Chang’s work include Topic Modeling (12 papers), Sentiment Analysis and Opinion Mining (11 papers) and Biomedical Text Mining and Ontologies (10 papers). Yung‐Chun Chang is often cited by papers focused on Topic Modeling (12 papers), Sentiment Analysis and Opinion Mining (11 papers) and Biomedical Text Mining and Ontologies (10 papers). Yung‐Chun Chang collaborates with scholars based in Taiwan, United States and Canada. Yung‐Chun Chang's co-authors include Chih‐Hao Ku, Chien‐Hung Chen, Chang-Shing Lee, Mei‐Hui Wang, Hong-Jie Dai, Richard Tzong‐Han Tsai, Wen-Lian Hsu, Wen−Lian Hsu, Po‐Ting Lai and Chi‐Jen Chen and has published in prestigious journals such as Bioinformatics, PLoS ONE and Journal of Business Research.

In The Last Decade

Co-authorship network of co-authors of Yung‐Chun Chang i

Fields of papers citing papers by Yung‐Chun Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yung‐Chun Chang. 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 Yung‐Chun Chang. The network helps show where Yung‐Chun Chang may publish in the future.

Countries citing papers authored by Yung‐Chun Chang

Since Specialization
Citations

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