Jiangang Chen
- Radiology, Nuclear Medicine and Imaging top 5%
- Molecular Biology
- Artificial Intelligence top 10%
- Pulmonary and Respiratory Medicine
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Qingli LiK. N. HoukSun LiDonald HilvertQiaolin DengMenghan HuYan WangMei Zhou
- Topics
- Ultrasound in Clinical Applications (12 papers)AI in cancer detection (9 papers)Radiomics and Machine Learning in Medical Imaging (8 papers)
- Cited by
- Health InformaticsCritical Care and Intensive Care MedicineRadiology, Nuclear Medicine and Imaging
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jiangang Chen
55 papers receiving 644 citations
Peers
Comparison fields: 5 of 110
- Radiology, Nuclear Medicine and Imaging 247
- Molecular Biology 186
- Artificial Intelligence 112
- Pulmonary and Respiratory Medicine 87
- Computer Vision and Pattern Recognition 76
Countries citing papers authored by Jiangang Chen
This map shows the geographic impact of Jiangang Chen'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 Jiangang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiangang Chen more than expected).
Fields of papers citing papers by Jiangang Chen
This network shows the impact of papers produced by Jiangang Chen. 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 Jiangang Chen. The network helps show where Jiangang Chen may publish in the future.
Co-authorship network of co-authors of Jiangang Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Jiangang Chen. A scholar is included among the top collaborators of Jiangang Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jiangang Chen. Jiangang Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 10 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 19 | |
| 14 | 77 | |
| 15 | 15 | |
| 16 | 7 | |
| 17 | 3 | |
| 18 | 16 | |
| 19 | 16 | |
| 20 | Authorization delegation mechanism based trust level in grid computing | 3 |
About Jiangang Chen
Jiangang Chen is a scholar working on Critical Care and Intensive Care Medicine, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 63 papers that have together received 659 indexed citations. Recurring topics across this work include Ultrasound in Clinical Applications (12 papers), AI in cancer detection (9 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). The work is most often cited by research in Health Informatics (20 citations), Critical Care and Intensive Care Medicine (58 citations) and Radiology, Nuclear Medicine and Imaging (247 citations). Jiangang Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Qingli Li, K. N. Houk, Sun Li, Donald Hilvert, Qiaolin Deng, Menghan Hu, Yan Wang, Mei Zhou, Jian Xu and Ian A. Wilson. Their work appears in journals such as Science, Advanced Materials and Biochemical and Biophysical Research Communications.
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.