Ming-Ching Chang

905 total citations · 1 hit paper
3 papers, 464 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 464 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 Radiomics and Machine Learning in Medical Imaging (1 paper), MRI in cancer diagnosis (1 paper) and Biofuel production and bioconversion (1 paper). Ming-Ching Chang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (1 paper), MRI in cancer diagnosis (1 paper) and Biofuel production and bioconversion (1 paper). Ming-Ching Chang collaborates with scholars based in United States, Germany and South Korea. Ming-Ching Chang's co-authors include Longyin Wen, Dawei Du, Zhen Lei, Zhaowei Cai, Honggang Qi, Jongwoo Lim, Ming–Hsuan Yang, Siwei Lyu, Wen‐Ming Chen and Jo‐Shu Chang 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 452 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

UA-DETRAC: A new benchmark and protocol for multi-object detection and tracking

2020 383 citations Longyin Wen, Dawei Du et al. Computer Vision and Image Understanding profile →

Peers

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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3 of 3 papers shown

#	Work	Indexed citations
1	UA-DETRAC: A new benchmark and protocol for multi-object detection and tracking breakdown → 2020 ·Computer Vision and Image Understanding ·Longyin Wen, Dawei Du, Zhaowei Cai, Zhen Lei, Ming-Ching Chang, Honggang Qi, Jongwoo Lim, Ming–Hsuan Yang, Siwei Lyu	383
2	Quantitative pharmacokinetic analysis of prostate cancer DCE-MRI at 3T: comparison of two arterial input functions on cancer detection with digitized whole mount histopathological validation 2015 ·Magnetic Resonance Imaging ·Fiona M. Fennessy, Andriy Fedorov, Tobias Penzkofer, Kyung Won Kim, Michelle S. Hirsch, Márk Vangel, (unknown), Trevor A. Flood, Ming-Ching Chang, Clare M. Tempany, Robert V. Mulkern, Sandeep Gupta	22
3	Simultaneous production of 2,3-butanediol, ethanol and hydrogen with a Klebsiella sp. strain isolated from sewage sludge 2008 ·Bioresource Technology ·(unknown), Ganesh Dattatraya Saratale, Yung-Chung Lo, Wen‐Ming Chen, (unknown), Ming-Ching Chang, (unknown), Ay Su, Jo‐Shu Chang	59

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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