Luan Jiang
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
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- Zebrafish Biomedical Research Applications
Papers in
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- MRI in cancer diagnosis 7
- Radiomics and Machine Learning in Medical Imaging 3
- Medical Imaging Techniques and Applications 2
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- Medical Image Segmentation Techniques 6
- Co-authors
- Dan Hu (1 shared paper)David Cai (1 shared paper)Chun Li (1 shared paper)Qi Chen (1 shared paper)Yajia Gu (6 shared papers)Qin Xiao (2 shared papers)Qiang Li (1 shared paper)Renchao Jin (1 shared paper)
- Journals
- Frontiers in Oncology (1 paper)PLoS Biology (1 paper)Translational Oncology (1 paper)Magnetic Resonance Imaging (1 paper)Academic Radiology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Luan Jiang
14 papers receiving 373 citations
Peers
Comparison fields: 5 of 68
- Radiology, Nuclear Medicine and Imaging 153
- Cell Biology 88
- Neurology 24
- Artificial Intelligence 81
- Cancer Research 37
Countries citing papers authored by Luan Jiang
This map shows the geographic impact of Luan 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 Luan Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luan Jiang more than expected).
Fields of papers citing papers by Luan Jiang
This network shows the impact of papers produced by Luan 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 Luan Jiang. The network helps show where Luan Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Luan 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 | 2012 | 180 | |
| 2 | 2021 | 43 | |
| 3 | 2009 | 37 | |
| 4 | 2017 | 27 | |
| 5 | 2016 | 27 | |
| 6 | 2017 | 19 | |
| 7 | 2010 | 14 | |
| 8 | 2021 | 12 | |
| 9 | 2021 | 6 | |
| 10 | 2012 | 3 | |
| 11 | 2018 | 2 | |
| 12 | 2017 | 1 | |
| 13 | 2013 | 1 | |
| 14 | 2014 | 1 |
About Luan Jiang
Luan Jiang is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 14 papers that have together received 373 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (7 papers), Medical Image Segmentation Techniques (6 papers), AI in cancer detection (5 papers), Digital Radiography and Breast Imaging (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Medical Imaging Techniques and Applications (2 papers), Breast Lesions and Carcinomas (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (153 citations), Cell Biology (88 citations), Neurology (24 citations), Artificial Intelligence (81 citations) and Cancer Research (37 citations). Luan Jiang has collaborated with scholars based in China and United States. Frequent co-authors include Dan Hu, David Cai, Chun Li, Qi Chen, Yajia Gu, Qin Xiao, Qiang Li, Renchao Jin, Enmin Song and Qiang Li. Their work appears in journals such as Frontiers in Oncology, PLoS Biology, Translational Oncology, Magnetic Resonance Imaging and Academic Radiology.
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.