Lin Pan

1.0k citations
82 papers · 673 · h-index 13

Impact in

Papers in

Lin Pan

65 papers receiving 650 citations

Peers

Lin Pan
Comparison fields: 5 of 128
  • Endocrine and Autonomic Systems 79
  • Developmental Neuroscience 34
  • Radiology, Nuclear Medicine and Imaging 100
  • Ophthalmology 36
  • Biological Psychiatry 8
Replace Jorge Aranda with:
Jorge Aranda Mexico
Liyun Wang China
Mohit Neema United States
Yoshihiro Murata Japan
Stella Lee United States
Xiaoli Chen China
Chiyuan Ma China
Yuanxu Gao China
Xiaofei Deng China
Lin Pan relative to Jorge Aranda Mexico Jorge Aranda's profile →
Citations per field
00.5×3.1×
Jorge Aranda · 1×
Citations per year

Countries citing papers authored by Lin Pan

Since Specialization
Citations

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

Fields of papers citing papers by Lin Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007107
2 2021103
3 200635
4 202227
5 201125
6 202224
7 202121
8 202318
9 202115
10 202215
11 201014
12 202314
13 201413
14 200912
15 200912
16 202311
17 202211
18 202311
19 202211
20 202011

About Lin Pan

Lin Pan is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Electrical and Electronic Engineering and Artificial Intelligence, having authored 82 papers that have together received 673 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (6 papers), Medical Image Segmentation Techniques (5 papers), Advanced Neural Network Applications (4 papers), Lung Cancer Diagnosis and Treatment (4 papers), Glaucoma and retinal disorders (4 papers), Video Surveillance and Tracking Methods (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and COVID-19 diagnosis using AI (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (79 citations), Developmental Neuroscience (34 citations), Radiology, Nuclear Medicine and Imaging (100 citations), Ophthalmology (36 citations) and Biological Psychiatry (8 citations). Lin Pan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhe Cai, Jun Shu, Liqin Huang, Xiangying Kong, Pingping Zuo, Nan Yang, Y Liu, Xuekun Li, Lifang Wei and Mingjing Yang. Their work appears in journals such as Computers in Biology and Medicine, Applied Intelligence, Medical Physics, Archives of Animal Nutrition and Scientific Reports.

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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