Li Lin

878 citations
46 papers · 354 · h-index 12

Impact in

Papers in

Li Lin

38 papers receiving 341 citations

Peers

Li Lin
Comparison fields: 5 of 71
  • Ophthalmology 91
  • Radiology, Nuclear Medicine and Imaging 201
  • Health Informatics 8
  • Computer Vision and Pattern Recognition 117
  • Health Information Management 22
Replace André M. Santana with:
André M. Santana Brazil
Soochahn Lee South Korea
Lucía Ramos Spain
May Phu Paing Thailand
Reza Rasti Iran
Se Woon Cho South Korea
Junde Wu China
Sohini Roychowdhury United States
Márton Szemenyei Hungary
Li Lin relative to André M. Santana Brazil André M. Santana's profile →
Citations per field
00.5×4.3×
André M. Santana · 1×
Citations per year

Countries citing papers authored by Li Lin

Since Specialization
Citations

This map shows the geographic impact of Li 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 Li Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Lin more than expected).

Fields of papers citing papers by Li Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li 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 Li Lin. The network helps show where Li Lin may publish in the future.

Co-authors

The 25 scholars most cited alongside Li 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 Li Lin Line = papers co-authored together Li Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202241
2 201834
3 202030
4 202328
5 202319
6 201719
7 202018
8 202217
9 202313
10 201613
11 202312
12 202211
13 20249
14 20219
15 20248
16 20227
17 20227
18 20227
19 20235
20 20245

About Li Lin

Li Lin is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Ophthalmology, Artificial Intelligence and Biomedical Engineering, having authored 46 papers that have together received 354 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (15 papers), Retinal Diseases and Treatments (7 papers), Brain Tumor Detection and Classification (6 papers), Medical Image Segmentation Techniques (6 papers), Glaucoma and retinal disorders (5 papers), AI in cancer detection (5 papers), Medical Imaging and Analysis (5 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). The work is most often cited by research in Ophthalmology (91 citations), Radiology, Nuclear Medicine and Imaging (201 citations), Health Informatics (8 citations), Computer Vision and Pattern Recognition (117 citations) and Health Information Management (22 citations). Li Lin has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Pujin Cheng, Xiaoying Tang, Yijin Huang, Junyan Lyu, Xiaoying Tang, Kai Wang, Jianfeng Tao, Kai Li, Meng Li and Chengliang Liu. Their work appears in journals such as IEEE Transactions on Medical Imaging, IEEE Journal of Biomedical and Health Informatics, Scientific Reports, Measurement and Health Information Science and Systems.

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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