Jiangli Lin

620 citations
54 papers · 428 · h-index 12

Impact in

Papers in

Jiangli Lin

45 papers receiving 423 citations

Peers

Jiangli Lin
Comparison fields: 5 of 80
  • Health Informatics 9
  • Oral Surgery 31
  • Radiology, Nuclear Medicine and Imaging 100
  • Neurology 22
  • Artificial Intelligence 99
Replace Christian Jaremenko with:
Christian Jaremenko Germany
Zengmin Tian China
Zhenhui Dai China
Min Kyoung Lee South Korea
Xuejun Liu China
Seung-Jin Park South Korea
Miriam H. A. Bopp Germany
Daniela Kuhnt Germany
Neda Haj‐Hosseini Sweden
Leon Y. Cai United States
Jiangli Lin relative to Christian Jaremenko Germany Christian Jaremenko's profile →
Citations per field
00.5×
Christian Jaremenko · 1×
Citations per year

Countries citing papers authored by Jiangli Lin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jiangli Lin Line = papers co-authored together Jiangli Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200866
2 202055
3 201941
4 202336
5 202031
6 202226
7 201219
8 200715
9 201714
10 202014
11 201912
12 202411
13 20238
14 20227
15 20257
16 20076
17 20235
18 20094
19 20184
20 20243

About Jiangli Lin

Jiangli Lin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Mechanics of Materials, having authored 54 papers that have together received 428 indexed citations. Recurring topics across this work include AI in cancer detection (11 papers), Medical Image Segmentation Techniques (8 papers), Bone Tissue Engineering Materials (6 papers), Image and Signal Denoising Methods (6 papers), Advanced Image and Video Retrieval Techniques (5 papers), Flow Measurement and Analysis (4 papers), Thyroid Cancer Diagnosis and Treatment (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Health Informatics (9 citations), Oral Surgery (31 citations), Radiology, Nuclear Medicine and Imaging (100 citations), Neurology (22 citations) and Artificial Intelligence (99 citations). Jiangli Lin has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Ke Chen, Yulan Peng, Lin Han, Heqing Zhang, Lin Han, Xingdong Zhang, Ke Chen, Tianfu Wang, Yan Zhuang and Lan Wang. Their work appears in journals such as Journal of X-Ray Science and Technology, Sensors, Advanced Functional Materials, Image and Vision Computing and Computer Methods and Programs in Biomedicine.

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.

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