Steve Jiang
- Radiation top 0.01%
- Advanced Radiotherapy Techniques 275
- Radiation Detection and Scintillator Technologies 25
- Radiology, Nuclear Medicine and Imaging top 0.02%
- Medical Imaging Techniques and Applications 173
- Radiomics and Machine Learning in Medical Imaging 51
- Radiation Dose and Imaging 31
- Health Informatics top 0.2%
- Pulmonary and Respiratory Medicine top 0.1%
- Radiation Therapy and Dosimetry 109
- Lung Cancer Diagnosis and Treatment 45
- Biomedical Engineering top 0.5%
- Advanced X-ray and CT Imaging 64
- Journals
- Physics in Medicine and Biology (106 papers)Medical Physics (95 papers)International Journal of Radiation Oncology*Biology*Physics (26 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Steve Jiang
355 papers receiving 15.1k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Radiation 11.3k
- Radiology, Nuclear Medicine and Imaging 10.5k
- Health Informatics 314
- Pulmonary and Respiratory Medicine 7.4k
- Biomedical Engineering 3.8k
Countries citing papers authored by Steve Jiang
This map shows the geographic impact of Steve Jiang'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 Steve Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Jiang more than expected).
Fields of papers citing papers by Steve Jiang
This network shows the impact of papers produced by Steve Jiang. 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 Steve Jiang. The network helps show where Steve Jiang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Steve Jiang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 7 | |
| 8 | ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain Knowledgebreakdown → | 2023 | 246 |
| 9 | 2023 | 6 | |
| 10 | 2023 | 18 | |
| 11 | 2019 | 83 | |
| 12 | Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings | 2019 | 4 |
| 13 | 2018 | 8 | |
| 14 | 2018 | 21 | |
| 15 | 2016 | 10 | |
| 16 | 2015 | 24 | |
| 17 | 2014 | 1 | |
| 18 | GPU-based Cone Beam CT Reconstruction via Total Variation Regularization | 2010 | 5 |
| 19 | 2007 | 164 | |
| 20 | 2006 | 58 |
About Steve Jiang
Steve Jiang is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Health Informatics, having authored 372 papers that have together received 15.4k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (275 papers), Medical Imaging Techniques and Applications (173 papers), Radiation Therapy and Dosimetry (109 papers), Advanced X-ray and CT Imaging (64 papers), Radiomics and Machine Learning in Medical Imaging (51 papers), Lung Cancer Diagnosis and Treatment (45 papers), Radiation Dose and Imaging (31 papers) and Radiation Detection and Scintillator Technologies (25 papers). The work is most often cited by research in Radiation (11.3k citations), Radiology, Nuclear Medicine and Imaging (10.5k citations) and Health Informatics (314 citations). Steve Jiang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Xun Jia, Hiroki Shirato, G Sharp, Thomas Bortfeld, Dan Nguyen, Ross Berbeco, Laura Cerviño, Xuejun Gu, James M. Balter and Martin J. Murphy. Their work appears in journals such as Physics in Medicine and Biology, Medical Physics, International Journal of Radiation Oncology*Biology*Physics, Journal of Applied Clinical Medical Physics and Machine Learning Science and Technology.
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.