Luan Jiang
Impact in
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
-
- Zebrafish Biomedical Research Applications
- Hippo pathway signaling and YAP/TAZ
Papers in
-
- MRI in cancer diagnosis 6
- Radiomics and Machine Learning in Medical Imaging 2
-
- Medical Image Segmentation Techniques 4
- Co-authors
- Dan Hu (1 shared paper)Chun Li (1 shared paper)Qi Chen (1 shared paper)David Cai (1 shared paper)Yajia Gu (6 shared papers)Qin Xiao (2 shared papers)Qiang Li (1 shared paper)Enmin Song (1 shared paper)
- Journals
- Medical Physics (1 paper)Frontiers in Oncology (1 paper)Computerized Medical Imaging and Graphics (1 paper)International Journal of Hematology (1 paper)PLoS Biology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Luan Jiang
14 papers receiving 381 citations
Peers
Comparison fields: 5 of 66
- Radiology, Nuclear Medicine and Imaging 123
- Cell Biology 85
- Neurology 21
- Cancer Research 28
- Artificial Intelligence 65
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 | 182 | |
| 2 | 2021 | 44 | |
| 3 | 2009 | 37 | |
| 4 | 2017 | 29 | |
| 5 | 2016 | 28 | |
| 6 | 2017 | 19 | |
| 7 | 2021 | 14 | |
| 8 | 2010 | 14 | |
| 9 | 2021 | 6 | |
| 10 | 2012 | 3 | |
| 11 | 2018 | 2 | |
| 12 | 2017 | 1 | |
| 13 | 2013 | 1 | |
| 14 | 2014 | 1 | |
| 15 | 2013 | 0 |
About Luan Jiang
Luan Jiang is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Molecular Biology, Pulmonary and Respiratory Medicine and Artificial Intelligence, having authored 15 papers that have together received 381 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (6 papers), Medical Image Segmentation Techniques (4 papers), AI in cancer detection (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Digital Radiography and Breast Imaging (2 papers), Angiogenesis and VEGF in Cancer (1 paper), Hepatocellular Carcinoma Treatment and Prognosis (1 paper) and Amyloidosis: Diagnosis, Treatment, Outcomes (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (123 citations), Cell Biology (85 citations), Neurology (21 citations), Cancer Research (28 citations) and Artificial Intelligence (65 citations). Luan Jiang has collaborated with scholars based in China and United States. Frequent co-authors include Dan Hu, Chun Li, Qi Chen, David Cai, Yajia Gu, Qin Xiao, Qiang Li, Qiang Li, Enmin Song and Yuan Yuan. Their work appears in journals such as Medical Physics, Frontiers in Oncology, Computerized Medical Imaging and Graphics, International Journal of Hematology and PLoS Biology.
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.