Xiaofeng Jiang
Impact in
-
- Radiomics and Machine Learning in Medical Imaging
Papers in
- Oncology 4
- Colorectal Cancer Surgical Treatments 3
-
- Ferroptosis and cancer prognosis 2
- Co-authors
- Jia Ke (7 shared papers)Xiaojian Wu (5 shared papers)Cheng Jin (2 shared papers)Jinghua Tang (2 shared papers)Ruijiang Li (3 shared papers)Peirong Ding (2 shared papers)Feng Gao (4 shared papers)Yongju Yi (1 shared paper)
- Journals
- Journal of Clinical Oncology (2 papers)Nature Communications (1 paper)European Journal of Cancer (1 paper)Evolutionary Intelligence (1 paper)Nature Reviews Gastroenterology & Hepatology (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Xiaofeng Jiang
13 papers receiving 321 citations
Peers
Comparison fields: 5 of 49
- Health Informatics 10
- Radiology, Nuclear Medicine and Imaging 121
- Oncology 77
- Artificial Intelligence 57
- Hepatology 12
Countries citing papers authored by Xiaofeng Jiang
This map shows the geographic impact of Xiaofeng 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 Xiaofeng Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofeng Jiang more than expected).
Fields of papers citing papers by Xiaofeng Jiang
This network shows the impact of papers produced by Xiaofeng 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 Xiaofeng Jiang. The network helps show where Xiaofeng Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaofeng 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 | 2021 | 142 | |
| 2 | 2023 | 76 | |
| 3 | 2023 | 34 | |
| 4 | Modified sternal elevation for children with pectus excavatum. | 2000 | 19 |
| 5 | 2023 | 13 | |
| 6 | 2023 | 11 | |
| 7 | 2025 | 9 | |
| 8 | 2020 | 8 | |
| 9 | 2025 | 5 | |
| 10 | 2022 | 3 | |
| 11 | 2024 | 1 | |
| 12 | 2019 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2025 | 0 |
About Xiaofeng Jiang
Xiaofeng Jiang is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 14 papers that have together received 323 indexed citations. Recurring topics across this work include Colorectal Cancer Surgical Treatments (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Ferroptosis and cancer prognosis (2 papers), Fuzzy Logic and Control Systems (1 paper), Advanced X-ray and CT Imaging (1 paper), Medical Imaging Techniques and Applications (1 paper), Neural Networks and Applications (1 paper) and Machine Learning in Healthcare (1 paper). The work is most often cited by research in Health Informatics (10 citations), Radiology, Nuclear Medicine and Imaging (121 citations), Oncology (77 citations), Artificial Intelligence (57 citations) and Hepatology (12 citations). Xiaofeng Jiang has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Jia Ke, Xiaojian Wu, Cheng Jin, Jinghua Tang, Ruijiang Li, Peirong Ding, Feng Gao, Yongju Yi, Heng Yu and Daniel T. Chang. Their work appears in journals such as Journal of Clinical Oncology, Nature Communications, European Journal of Cancer, Evolutionary Intelligence and Nature Reviews Gastroenterology & Hepatology.
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.