Jiangli Lin
Impact in
- Health Informatics top 10%
-
- Radiomics and Machine Learning in Medical Imaging
Papers in
-
- Medical Image Segmentation Techniques 9
- Image and Signal Denoising Methods 6
- Advanced Image and Video Retrieval Techniques 4
-
- AI in cancer detection 14
- Co-authors
- Yulan Peng (4 shared papers)Ke Chen (7 shared papers)Lin Han (14 shared papers)Lin Han (1 shared paper)Heqing Zhang (2 shared papers)Yan Zhuang (7 shared papers)Ke Chen (11 shared papers)Xingdong Zhang (7 shared papers)
- Journals
- Journal of X-Ray Science and Technology (8 papers)Sensors (4 papers)Advanced Functional Materials (3 papers)Journal of Materials Chemistry B (1 paper)Image and Vision Computing (1 paper)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Jiangli Lin
42 papers receiving 388 citations
Peers
Comparison fields: 5 of 76
- Health Informatics 16
- Radiology, Nuclear Medicine and Imaging 124
- Oral Surgery 37
- Artificial Intelligence 104
- Neurology 23
Countries citing papers authored by Jiangli Lin
This map shows the geographic impact of Jiangli Lin'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 Jiangli Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiangli Lin more than expected).
Fields of papers citing papers by Jiangli Lin
This network shows the impact of papers produced by Jiangli Lin. 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 Jiangli Lin. The network helps show where Jiangli Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiangli Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 63 | |
| 2 | 2020 | 51 | |
| 3 | 2019 | 38 | |
| 4 | 2023 | 35 | |
| 5 | 2020 | 30 | |
| 6 | 2022 | 26 | |
| 7 | 2012 | 19 | |
| 8 | 2007 | 15 | |
| 9 | 2017 | 14 | |
| 10 | 2020 | 14 | |
| 11 | 2019 | 12 | |
| 12 | 2024 | 9 | |
| 13 | 2022 | 7 | |
| 14 | 2007 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2025 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2018 | 4 | |
| 19 | 2020 | 3 | |
| 20 | 2024 | 3 |
About Jiangli Lin
Jiangli Lin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Mechanics of Materials, having authored 48 papers that have together received 393 indexed citations. Recurring topics across this work include AI in cancer detection (14 papers), Medical Image Segmentation Techniques (9 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Bone Tissue Engineering Materials (6 papers), Image and Signal Denoising Methods (6 papers), Flow Measurement and Analysis (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Image Processing Techniques and Applications (3 papers). The work is most often cited by research in Health Informatics (16 citations), Radiology, Nuclear Medicine and Imaging (124 citations), Oral Surgery (37 citations), Artificial Intelligence (104 citations) and Neurology (23 citations). Jiangli Lin has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Yulan Peng, Ke Chen, Lin Han, Lin Han, Heqing Zhang, Yan Zhuang, Ke Chen, Xingdong Zhang, Tianfu Wang and Lan Wang. Their work appears in journals such as Journal of X-Ray Science and Technology, Sensors, Advanced Functional Materials, Journal of Materials Chemistry B and Image and Vision Computing.
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.