Nai‐Wen Chang

12 papers and 238 indexed citations i.

About

Nai‐Wen Chang is a scholar working on Molecular Biology, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Nai‐Wen Chang has authored 12 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Artificial Intelligence and 2 papers in Biomedical Engineering. Recurrent topics in Nai‐Wen Chang’s work include Biomedical Text Mining and Ontologies (3 papers), Topic Modeling (2 papers) and Machine Learning in Healthcare (2 papers). Nai‐Wen Chang is often cited by papers focused on Biomedical Text Mining and Ontologies (3 papers), Topic Modeling (2 papers) and Machine Learning in Healthcare (2 papers). Nai‐Wen Chang collaborates with scholars based in Taiwan, Australia and United States. Nai‐Wen Chang's co-authors include Jitendra Jonnagaddala, Hong-Jie Dai, Chih‐Lyang Hwang, Alice Y.‐C. Liu, Eric Huang, Siaw‐Teng Liaw, Manish Kumar, Pradeep Ray, Yi‐Ping Huang and Shih‐Chang Tsai and has published in prestigious journals such as Journal of Biological Chemistry, IEEE Transactions on Fuzzy Systems and Journal of Biomedical Informatics.

In The Last Decade

Co-authorship network of co-authors of Nai‐Wen Chang i

Fields of papers citing papers by Nai‐Wen Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nai‐Wen Chang

Since Specialization
Citations

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