Mingchen Gao
Impact in
- Health Informatics top 1%
-
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Medical Image Segmentation Techniques 10
- Multimodal Machine Learning Applications 5
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- Medical Imaging Techniques and Applications 7
- COVID-19 diagnosis using AI 6
- Radiomics and Machine Learning in Medical Imaging 6
- Co-authors
- Daniel J. Mollura (8 shared papers)Ziyue Xu (8 shared papers)Le Lü (4 shared papers)Ronald M. Summers (3 shared papers)Hoo-Chang Shin (2 shared papers)Holger R. Roth (2 shared papers)Isabella Nogues (2 shared papers)Jianhua Yao (1 shared paper)
- Journals
- IEEE Transactions on Medical Imaging (2 papers)Colloids and Surfaces A Physicochemical and Engineering Aspects (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)Molecules (1 paper)Renewable Energy (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Mingchen Gao
46 papers receiving 4.6k citations
Mingchen Gao's Hit Papers
Peers
Comparison fields: 5 of 183
- Health Informatics 112
- Radiology, Nuclear Medicine and Imaging 1.8k
- Computer Vision and Pattern Recognition 1.4k
- Artificial Intelligence 1.8k
- Neurology 312
Countries citing papers authored by Mingchen Gao
This map shows the geographic impact of Mingchen Gao'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 Mingchen Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingchen Gao more than expected).
Fields of papers citing papers by Mingchen Gao
This network shows the impact of papers produced by Mingchen Gao. 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 Mingchen Gao. The network helps show where Mingchen Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingchen Gao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning Hit paper breakdown → | 2016 | 3968 |
| 2 | 2011 | 185 | |
| 3 | 2016 | 179 | |
| 4 | 2016 | 53 | |
| 5 | 2021 | 36 | |
| 6 | 1991 | 36 | |
| 7 | 2018 | 33 | |
| 8 | 2021 | 30 | |
| 9 | 2012 | 26 | |
| 10 | 2016 | 26 | |
| 11 | 2011 | 22 | |
| 12 | 2021 | 21 | |
| 13 | 2013 | 16 | |
| 14 | 2022 | 16 | |
| 15 | 2021 | 15 | |
| 16 | 2022 | 13 | |
| 17 | 2017 | 11 | |
| 18 | 2013 | 11 | |
| 19 | 2023 | 8 | |
| 20 | 2021 | 8 |
About Mingchen Gao
Mingchen Gao is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Pulmonary and Respiratory Medicine and Computational Mechanics, having authored 54 papers that have together received 4.8k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (10 papers), Medical Imaging Techniques and Applications (7 papers), COVID-19 diagnosis using AI (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Domain Adaptation and Few-Shot Learning (5 papers), Multimodal Machine Learning Applications (5 papers), Lung Cancer Diagnosis and Treatment (5 papers) and 3D Shape Modeling and Analysis (3 papers). The work is most often cited by research in Health Informatics (112 citations), Radiology, Nuclear Medicine and Imaging (1.8k citations), Computer Vision and Pattern Recognition (1.4k citations), Artificial Intelligence (1.8k citations) and Neurology (312 citations). Mingchen Gao has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Daniel J. Mollura, Ziyue Xu, Le Lü, Ronald M. Summers, Hoo-Chang Shin, Holger R. Roth, Isabella Nogues, Jianhua Yao, Dimitris Metaxas and Xinyi Cui. Their work appears in journals such as IEEE Transactions on Medical Imaging, Colloids and Surfaces A Physicochemical and Engineering Aspects, IEEE Journal of Biomedical and Health Informatics, Molecules and Renewable Energy.
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.