Pan Lin

3.7k citations
114 papers · 2.7k indexed · h-index 30

Pan Lin

105 papers receiving 2.6k citations

Peers

Pan Lin
Comparison fields: 5 of 146
  • Media Technology 733
  • Cognitive Neuroscience 1.3k
  • Computer Vision and Pattern Recognition 707
  • Experimental and Cognitive Psychology 328
  • Psychiatry and Mental health 313
Replace Malek Adjouadi with:
Malek Adjouadi United States
Pierre Hellier France
Christian Barillot France
Ke Zou China
Sándor Miklós Szilágyi Hungary
Hyo Jong Lee South Korea
Lishan Qiao China
Nidal Kamel Malaysia
Hantao Liu United Kingdom
Pan Lin relative to Malek Adjouadi United States Malek Adjouadi's profile →
Citations per field
00.5×3.4×
Malek Adjouadi · 1×
Citations per year

Countries citing papers authored by Pan Lin

Since Specialization
Citations

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

Fields of papers citing papers by Pan Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20254
2 20250
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5 20243
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7 20244
8 20241
9 20232
10 20223
11 202115
12 202119
13 202012
14 201914
15 201977
16 201915
17 20184
18 201713
19 201747
20
A Novel Statistical Approach for Segmentation of Single-Channel Brain MRI Using an Improved EM algorithm
20053

About Pan Lin

Pan Lin is a scholar working on Cognitive Neuroscience, Media Technology, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Signal Processing, having authored 114 papers that have together received 2.7k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (35 papers), Neural dynamics and brain function (29 papers), EEG and Brain-Computer Interfaces (27 papers), Advanced Image Fusion Techniques (13 papers), Medical Image Segmentation Techniques (11 papers), Mental Health Research Topics (11 papers), Advanced Neuroimaging Techniques and Applications (10 papers) and Blind Source Separation Techniques (9 papers). The work is most often cited by research in Media Technology (733 citations), Cognitive Neuroscience (1.3k citations), Computer Vision and Pattern Recognition (707 citations), Experimental and Cognitive Psychology (328 citations) and Psychiatry and Mental health (313 citations). Pan Lin has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Yong Yang, Shuying Huang, Yue Que, Jue Wang, Tong Song, Junfeng Gao, Xiaomei Peng, Ying Wu, Xiang Wang and Jorge Jovicich. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, Brain Imaging and Behavior, Journal of Affective Disorders, IEEE Access 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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