Yulei Jiang
Impact in
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Artificial Intelligence top 1%
- AI in cancer detection
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 34
- MRI in cancer diagnosis 18
-
- AI in cancer detection 42
- Co-authors
- Robert M. NishikawaCharles E. MetzAytekin OtoTatjana AnticMaryellen L. GigerYahui PengKunio DoiYongyi Yang
- Journals
- Academic Radiology (13 papers)Medical Physics (11 papers)Radiology (10 papers)American Journal of Roentgenology (8 papers)Journal of Magnetic Resonance Imaging (3 papers)
- Partner nations
- United StatesChinaArgentina
In The Last Decade
Yulei Jiang
103 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 153
- Radiology, Nuclear Medicine and Imaging 1.7k
- Artificial Intelligence 1.2k
- Pulmonary and Respiratory Medicine 1.3k
- Health Informatics 46
- Computer Vision and Pattern Recognition 445
Countries citing papers authored by Yulei Jiang
This map shows the geographic impact of Yulei 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 Yulei Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yulei Jiang more than expected).
Fields of papers citing papers by Yulei Jiang
This network shows the impact of papers produced by Yulei 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 Yulei Jiang. The network helps show where Yulei Jiang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yulei 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 | 2024 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2016 | 3 | |
| 4 | 2015 | 5 | |
| 5 | 2015 | 16 | |
| 6 | 2015 | 20 | |
| 7 | 2014 | 21 | |
| 8 | 2013 | 8 | |
| 9 | 2012 | 19 | |
| 10 | 2010 | 243 | |
| 11 | 2009 | 124 | |
| 12 | 2008 | 38 | |
| 13 | 2006 | 24 | |
| 14 | 2004 | 26 | |
| 15 | 2003 | 16 | |
| 16 | 2002 | 43 | |
| 17 | 2001 | 35 | |
| 18 | 2001 | 10 | |
| 19 | 1999 | 162 | |
| 20 | 1996 | 201 |
About Yulei Jiang
Yulei Jiang is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Pulmonary and Respiratory Medicine, Health Information Management and Health Informatics, having authored 106 papers that have together received 3.4k indexed citations. Recurring topics across this work include AI in cancer detection (42 papers), Radiomics and Machine Learning in Medical Imaging (34 papers), MRI in cancer diagnosis (18 papers), Prostate Cancer Diagnosis and Treatment (16 papers), Digital Radiography and Breast Imaging (12 papers), Prostate Cancer Treatment and Research (9 papers), Global Cancer Incidence and Screening (8 papers) and Hydraulic and Pneumatic Systems (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.7k citations), Artificial Intelligence (1.2k citations), Pulmonary and Respiratory Medicine (1.3k citations), Health Informatics (46 citations) and Computer Vision and Pattern Recognition (445 citations). Yulei Jiang has collaborated with scholars based in United States, China and Argentina. Frequent co-authors include Robert M. Nishikawa, Charles E. Metz, Aytekin Oto, Tatjana Antic, Maryellen L. Giger, Yahui Peng, Kunio Doi, Yongyi Yang, Liyang Wei and Gregory S. Karczmar. Their work appears in journals such as Academic Radiology, Medical Physics, Radiology, American Journal of Roentgenology and Journal of Magnetic Resonance Imaging.
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.