Che‐Lun Hung

57 papers and 640 indexed citations i.

About

Che‐Lun Hung is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Che‐Lun Hung has authored 57 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 15 papers in Artificial Intelligence and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Che‐Lun Hung’s work include Machine Learning in Bioinformatics (10 papers), Genomics and Phylogenetic Studies (8 papers) and Bioinformatics and Genomic Networks (6 papers). Che‐Lun Hung is often cited by papers focused on Machine Learning in Bioinformatics (10 papers), Genomics and Phylogenetic Studies (8 papers) and Bioinformatics and Genomic Networks (6 papers). Che‐Lun Hung collaborates with scholars based in Taiwan, United States and China. Che‐Lun Hung's co-authors include Chun‐Yuan Lin, Hong‐Tsu Young, Yaw-Ling Lin, Tsai‐Ling Lauderdale, Daniel Bennett, Chuan Yi Tang, Yeh‐Ching Chung, Geyong Min, Mei‐Yuan Liu and Xiaoye Hu and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Che‐Lun Hung i

Fields of papers citing papers by Che‐Lun Hung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Che‐Lun Hung. 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 Che‐Lun Hung. The network helps show where Che‐Lun Hung may publish in the future.

Countries citing papers authored by Che‐Lun Hung

Since Specialization
Citations

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