Yushi Chang
Impact in
- Radiation top 5%
- Advanced Radiotherapy Techniques
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 8
- Medical Imaging Techniques and Applications 6
-
- Advanced Radiotherapy Techniques 7
- Co-authors
- F Yin (17 shared papers)Chunhao Wang (7 shared papers)Kyle J. Lafata (9 shared papers)Lei Ren (9 shared papers)Zhuoran Jiang (8 shared papers)Yang Sheng (2 shared papers)Jiahan Zhang (2 shared papers)Yaorong Ge (1 shared paper)
- Journals
- Physics in Medicine and Biology (5 papers)Medical Physics (3 papers)International Journal of Radiation Oncology*Biology*Physics (3 papers)IEEE Transactions on Radiation and Plasma Medical Sciences (2 papers)Advances in Radiation Oncology (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Yushi Chang
20 papers receiving 328 citations
Peers
Comparison fields: 5 of 36
- Radiation 105
- Health Informatics 13
- Radiology, Nuclear Medicine and Imaging 200
- Otorhinolaryngology 12
- Pulmonary and Respiratory Medicine 60
Countries citing papers authored by Yushi Chang
This map shows the geographic impact of Yushi 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 Yushi Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yushi Chang more than expected).
Fields of papers citing papers by Yushi Chang
This network shows the impact of papers produced by Yushi 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 Yushi Chang. The network helps show where Yushi Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yushi Chang, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 54 | |
| 2 | 2019 | 43 | |
| 3 | 2021 | 35 | |
| 4 | 2020 | 24 | |
| 5 | 2021 | 21 | |
| 6 | 2020 | 21 | |
| 7 | 2022 | 20 | |
| 8 | 2021 | 18 | |
| 9 | 2020 | 17 | |
| 10 | 2020 | 15 | |
| 11 | 2020 | 13 | |
| 12 | 2022 | 13 | |
| 13 | 2022 | 11 | |
| 14 | 2021 | 8 | |
| 15 | 2023 | 7 | |
| 16 | 2021 | 6 | |
| 17 | 2021 | 5 | |
| 18 | 2019 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2019 | 1 |
About Yushi Chang
Yushi Chang is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Biomedical Engineering, Pulmonary and Respiratory Medicine and Surgery, having authored 21 papers that have together received 334 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (8 papers), Advanced Radiotherapy Techniques (7 papers), Medical Imaging Techniques and Applications (6 papers), Advanced X-ray and CT Imaging (4 papers), Plant Disease Management Techniques (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Cancer Genomics and Diagnostics (1 paper) and Atomic and Subatomic Physics Research (1 paper). The work is most often cited by research in Radiation (105 citations), Health Informatics (13 citations), Radiology, Nuclear Medicine and Imaging (200 citations), Otorhinolaryngology (12 citations) and Pulmonary and Respiratory Medicine (60 citations). Yushi Chang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include F Yin, Chunhao Wang, Kyle J. Lafata, Lei Ren, Zhuoran Jiang, Yang Sheng, Jiahan Zhang, Yaorong Ge, Qiuwen Wu and John P. Kirkpatrick. Their work appears in journals such as Physics in Medicine and Biology, Medical Physics, International Journal of Radiation Oncology*Biology*Physics, IEEE Transactions on Radiation and Plasma Medical Sciences and Advances in Radiation Oncology.
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.