Ming-Ching Chang

3 papers and 372 indexed citations i.

About

Ming-Ching Chang is a scholar working on Molecular Biology, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Ming-Ching Chang has authored 3 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Biomedical Engineering and 1 paper in Artificial Intelligence. Recurrent topics in Ming-Ching Chang’s work include Advanced Neural Network Applications (1 paper), Prostate Cancer Diagnosis and Treatment (1 paper) and Metabolic Engineering and Synthetic Biology (1 paper). Ming-Ching Chang is often cited by papers focused on Advanced Neural Network Applications (1 paper), Prostate Cancer Diagnosis and Treatment (1 paper) and Metabolic Engineering and Synthetic Biology (1 paper). Ming-Ching Chang collaborates with scholars based in United States, China and Germany. Ming-Ching Chang's co-authors include Siwei Lyu, Jongwoo Lim, Zhaowei Cai, Dawei Du, Zhen Lei, Longyin Wen, Honggang Qi, Ming–Hsuan Yang, Yung-Chung Lo and Wen‐Ming Chen and has published in prestigious journals such as Bioresource Technology, Magnetic Resonance Imaging and Computer Vision and Image Understanding.

In The Last Decade

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

Fields of papers citing papers by Ming-Ching Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ming-Ching Chang

Since Specialization
Citations

This map shows the geographic impact of Ming-Ching 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-Ching 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-Ching 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