Pan Lin

3.7k citations
103 papers · 2.8k · h-index 30

Impact in

    • Advanced Image Fusion Techniques
    • Remote-Sensing Image Classification
    • Functional Brain Connectivity Studies
    • EEG and Brain-Computer Interfaces
    • Neural dynamics and brain function

Papers in

Pan Lin

100 papers receiving 2.8k citations

Peers

Pan Lin
Comparison fields: 5 of 144
  • Media Technology 780
  • Cognitive Neuroscience 1.3k
  • Computer Vision and Pattern Recognition 762
  • Psychiatry and Mental health 282
  • Experimental and Cognitive Psychology 255
Replace Malek Adjouadi with:
Malek Adjouadi United States
Li‐Fen Chen Taiwan
Pierre Hellier France
Nidal Kamel Malaysia
Ke Zou China
Alexis Roche France
Sándor Miklós Szilágyi Hungary
Théodore Papadopoulo France
Jonas Richiardi Switzerland
Pan Lin relative to Malek Adjouadi United States Malek Adjouadi's profile →
Citations per field
00.5×3.1×
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-authors

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

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016172
2 2013167
3 2014152
4 2015117
5 201696
6 201992
7 201786
8 201983
9 200976
10 201576
11 201369
12 201867
13 201066
14 201765
15 201664
16 201856
17 201453
18 201751
19 201750
20 201149

About Pan Lin

Pan Lin is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Media Technology, Radiology, Nuclear Medicine and Imaging and Signal Processing, having authored 103 papers that have together received 2.8k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (34 papers), EEG and Brain-Computer Interfaces (28 papers), Neural dynamics and brain function (27 papers), Advanced Image Fusion Techniques (14 papers), Medical Image Segmentation Techniques (14 papers), Blind Source Separation Techniques (9 papers), Remote-Sensing Image Classification (9 papers) and Advanced Neuroimaging Techniques and Applications (9 papers). The work is most often cited by research in Media Technology (780 citations), Cognitive Neuroscience (1.3k citations), Computer Vision and Pattern Recognition (762 citations), Psychiatry and Mental health (282 citations) and Experimental and Cognitive Psychology (255 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, Junfeng Gao, Xiaomei Peng, Ying Wu, Xiang Wang, Tongsheng Zhang and Sheng Ge. 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 IEEE Transactions on Instrumentation and Measurement.

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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