Feng Lin

102 papers receiving 1.4k citations

Peers

Feng Lin
Comparison fields: 5 of 138
  • Computer Vision and Pattern Recognition 480
  • Computer Graphics and Computer-Aided Design 71
  • Cardiology and Cardiovascular Medicine 234
  • Media Technology 93
  • Cognitive Neuroscience 179
Replace Jonas Schneider with:
Jonas Schneider Germany
Eric Sung Singapore
Hong Song China
Huisi Wu China
Zitong Yu China
Yuqing Song China
Efstratios Gavves Netherlands
Junchen Wang China
Josef Bigün Sweden
Martin Urschler Austria
Feng Lin relative to Jonas Schneider Germany Jonas Schneider's profile →
Citations per field
00.5×4.2×
Jonas Schneider · 1×
Citations per year

Countries citing papers authored by Feng Lin

Since Specialization
Citations

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

Fields of papers citing papers by Feng Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019173
2 201783
3 200970
4 201664
5 201563
6 201759
7 202054
8 201943
9 202035
10 201035
11 201932
12 201930
13 202026
14 202025
15 201224
16 201223
17 201923
18 201222
19 201421
20 201720

About Feng Lin

Feng Lin is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Molecular Biology, Computer Graphics and Computer-Aided Design and Artificial Intelligence, having authored 107 papers that have together received 1.5k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (15 papers), 3D Shape Modeling and Analysis (8 papers), ECG Monitoring and Analysis (8 papers), Advanced Vision and Imaging (7 papers), Image Processing Techniques and Applications (6 papers), EEG and Brain-Computer Interfaces (6 papers), Orbital Angular Momentum in Optics (6 papers) and Robotic Path Planning Algorithms (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (480 citations), Computer Graphics and Computer-Aided Design (71 citations), Cardiology and Cardiovascular Medicine (234 citations), Media Technology (93 citations) and Cognitive Neuroscience (179 citations). Feng Lin has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Hock Soon Seah, Xiuling Liu, Peng Xiong, Marcelo H. Ang, Zehui Meng, Hailong Qin, Zeng‐Guang Hou, Qian Kemao, Wei Meng and Wenjing Gao. Their work appears in journals such as BMC Bioinformatics, IEEE Access, Journal of Biomedical Optics, Optics and Lasers in Engineering and Engineering Applications of Artificial Intelligence.

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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