Ming Chao
Impact in
- Radiation top 1%
- Advanced Radiotherapy Techniques
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- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
Papers in
- Radiation 32
- Advanced Radiotherapy Techniques 32
-
- Medical Imaging Techniques and Applications 15
- Radiomics and Machine Learning in Medical Imaging 14
- Co-authors
- Yeh‐Chi Lo (11 shared papers)Yading Yuan (8 shared papers)Lei Xing (15 shared papers)Yaoqin Xie (6 shared papers)Tianfang Li (4 shared papers)Albert C. Koong (3 shared papers)Christopher McGuinness (1 shared paper)Peter R. T. Munro (1 shared paper)
- Journals
- Medical Physics (14 papers)International Journal of Radiation Oncology*Biology*Physics (9 papers)Technology in Cancer Research & Treatment (3 papers)Physics in Medicine and Biology (3 papers)Journal of Applied Clinical Medical Physics (2 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Ming Chao
45 papers receiving 1.0k citations
Ming Chao's Hit Papers
Peers
Comparison fields: 5 of 96
- Radiation 441
- Radiology, Nuclear Medicine and Imaging 539
- Computer Vision and Pattern Recognition 234
- Oncology 311
- Artificial Intelligence 319
Countries citing papers authored by Ming Chao
This map shows the geographic impact of Ming Chao'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 Chao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Chao more than expected).
Fields of papers citing papers by Ming Chao
This network shows the impact of papers produced by Ming Chao. 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 Chao. The network helps show where Ming Chao may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Chao, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Automatic Skin Lesion Segmentation Using Deep Fully Convolutional Networks With Jaccard Distance Hit paper breakdown → | 2017 | 471 |
| 2 | 2006 | 159 | |
| 3 | 2010 | 61 | |
| 4 | 2008 | 48 | |
| 5 | 2008 | 46 | |
| 6 | 2008 | 30 | |
| 7 | 2011 | 28 | |
| 8 | 2010 | 27 | |
| 9 | 2008 | 25 | |
| 10 | 2009 | 21 | |
| 11 | 2007 | 19 | |
| 12 | 2016 | 13 | |
| 13 | 2007 | 12 | |
| 14 | 2005 | 12 | |
| 15 | 2024 | 10 | |
| 16 | 2011 | 8 | |
| 17 | 2015 | 8 | |
| 18 | 2018 | 6 | |
| 19 | 2017 | 6 | |
| 20 | 2022 | 6 |
About Ming Chao
Ming Chao is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (32 papers), Medical Imaging Techniques and Applications (15 papers), Radiomics and Machine Learning in Medical Imaging (14 papers), Medical Image Segmentation Techniques (8 papers), Radiation Therapy and Dosimetry (7 papers), Medical Imaging and Analysis (6 papers), Lung Cancer Diagnosis and Treatment (6 papers) and Head and Neck Cancer Studies (5 papers). The work is most often cited by research in Radiation (441 citations), Radiology, Nuclear Medicine and Imaging (539 citations), Computer Vision and Pattern Recognition (234 citations), Oncology (311 citations) and Artificial Intelligence (319 citations). Ming Chao has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Yeh‐Chi Lo, Yading Yuan, Lei Xing, Yaoqin Xie, Tianfang Li, Albert C. Koong, Christopher McGuinness, Peter R. T. Munro, Yong Yang and Eduardo G. Moros. Their work appears in journals such as Medical Physics, International Journal of Radiation Oncology*Biology*Physics, Technology in Cancer Research & Treatment, Physics in Medicine and Biology and Journal of Applied Clinical Medical Physics.
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.