Ming Chang

101 papers and 1.5k indexed citations i.

About

Ming Chang is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ming Chang has authored 101 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Biomedical Engineering, 27 papers in Electrical and Electronic Engineering and 26 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ming Chang’s work include Optical measurement and interference techniques (24 papers), Advanced Measurement and Metrology Techniques (17 papers) and Surface Roughness and Optical Measurements (16 papers). Ming Chang is often cited by papers focused on Optical measurement and interference techniques (24 papers), Advanced Measurement and Metrology Techniques (17 papers) and Surface Roughness and Optical Measurements (16 papers). Ming Chang collaborates with scholars based in Taiwan, China and United States. Ming Chang's co-authors include Yuh J. Chao, Xiaodong Li, Rizhi Wang, Chien Chou, Juti Rani Deka, Yaw‐Jen Chang, Qing Yu, Yongsheng Gao, Yu‐Hao Lin and James C. Wyant and has published in prestigious journals such as Nano Letters, PLoS ONE and Small.

In The Last Decade

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

Fields of papers citing papers by Ming Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ming Chang

Since Specialization
Citations

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