Hang Chang

153 papers and 4.2k indexed citations i.

About

Hang Chang is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Hang Chang has authored 153 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 27 papers in Computer Vision and Pattern Recognition and 26 papers in Artificial Intelligence. Recurrent topics in Hang Chang’s work include AI in cancer detection (24 papers), Cell Image Analysis Techniques (23 papers) and Angiogenesis and VEGF in Cancer (13 papers). Hang Chang is often cited by papers focused on AI in cancer detection (24 papers), Cell Image Analysis Techniques (23 papers) and Angiogenesis and VEGF in Cancer (13 papers). Hang Chang collaborates with scholars based in United States, Taiwan and China. Hang Chang's co-authors include Kou‐Gi Shyu, Bao-Wei Wang, Bahram Parvin, Peiliang Kuan, Bahram Parvin, Paul T. Spellman, Ju Han, Jian‐Hua Mao, Antoine M. Snijders and Kou‐Gi Shyu and has published in prestigious journals such as Bioinformatics, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Co-authorship network of co-authors of Hang Chang i

Fields of papers citing papers by Hang Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hang Chang

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025