Ming-Ching Chang

11 total papers · 885 total citations
3 papers, 454 citations indexed

About

Ming-Ching Chang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ming-Ching Chang has authored 3 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Pulmonary and Respiratory Medicine and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Ming-Ching Chang's work include Prostate Cancer Diagnosis and Treatment (1 paper), Video Surveillance and Tracking Methods (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). Ming-Ching Chang is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (1 paper), Video Surveillance and Tracking Methods (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). Ming-Ching Chang collaborates with scholars based in United States, Taiwan and China. Ming-Ching Chang's co-authors include Zhen Lei, Honggang Qi, Siwei Lyu, Dawei Du, Ming–Hsuan Yang, Longyin Wen, Zhaowei Cai, Jongwoo Lim, Wen‐Ming Chen and Ganesh Dattatraya Saratale and has published in prestigious journals such as Bioresource Technology, Computer Vision and Image Understanding and Magnetic Resonance Imaging.

In The Last Decade

Ming-Ching Chang

3 papers receiving 443 citations

Hit Papers

UA-DETRAC: A new benchmar... 2020 2026 2022 2024 2020 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ming-Ching Chang 318 101 63 50 41 3 454
Seung-Taek Yu 251 0.8× 78 0.8× 33 0.5× 20 0.4× 31 0.8× 9 463
Joel Janai 253 0.8× 101 1.0× 24 0.4× 15 0.3× 8 0.2× 5 440
Mohammad Mahdi Bejani 71 0.2× 127 1.3× 64 1.0× 29 0.6× 18 0.4× 11 522
Yiqi Zhong 252 0.8× 98 1.0× 15 0.2× 15 0.3× 14 0.3× 11 444
Raed Ibraheem Hamed 154 0.5× 48 0.5× 38 0.6× 14 0.3× 17 0.4× 11 532
Aseem Behl 322 1.0× 145 1.4× 29 0.5× 10 0.2× 5 0.1× 8 510
Patrick Dendorfer 427 1.3× 112 1.1× 20 0.3× 27 0.5× 3 0.1× 2 548
Morten B. Jensen 268 0.8× 125 1.2× 40 0.6× 3 0.1× 37 0.9× 17 425
Ratnesh Kumar 397 1.2× 119 1.2× 38 0.6× 15 0.3× 3 0.1× 17 487
Chunjiang Ge 248 0.8× 18 0.2× 13 0.2× 23 0.5× 10 0.2× 7 442

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Ming-Ching Chang. A scholar is included among the top collaborators of Ming-Ching Chang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming-Ching Chang. Ming-Ching Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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