Lin Gan

86 papers receiving 1.4k citations

Lin Gan's Hit Papers

Deep Metallic Surface Defect Detection: The New Benchmark and Detection Network 2020 · 313 citations
3130+2+4Years since publication100200300

Peers

Lin Gan
Comparison fields: 5 of 116
  • Computational Mathematics 29
  • Hardware and Architecture 300
  • Industrial and Manufacturing Engineering 321
  • Structural Biology 30
  • Computer Networks and Communications 310
Replace Joseph F. Murray with:
Joseph F. Murray United States
Emilio L. Zapata Spain
Darren J. Kerbyson United States
Gerd Heber United States
Alain Horé Canada
Nicolas Pinto United States
Erik G. Boman United States
Daehyun Kim United States
Yunsup Lee United States
Tong Lin China
Lin Gan relative to Joseph F. Murray United States Joseph F. Murray's profile →
Citations per field
00.5×10×12.8×
Joseph F. Murray · 1×
Citations per year

Countries citing papers authored by Lin Gan

Since Specialization
Citations

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

Fields of papers citing papers by Lin Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep Metallic Surface Defect Detection: The New Benchmark and Detection Network
Hit paper breakdown →
2020313
2 201976
3 201672
4 201656
5 201442
6 201841
7 201339
8 201439
9 201738
10 202137
11 201835
12 201934
13 201333
14 202031
15 201326
16 202024
17 202023
18 201723
19 201822
20 202420

About Lin Gan

Lin Gan is a scholar working on Hardware and Architecture, Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 101 papers that have together received 1.4k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (31 papers), Advanced Data Storage Technologies (15 papers), Meteorological Phenomena and Simulations (12 papers), Distributed and Parallel Computing Systems (8 papers), Computational Fluid Dynamics and Aerodynamics (6 papers), Seismic Imaging and Inversion Techniques (5 papers), Advanced Numerical Methods in Computational Mathematics (5 papers) and Matrix Theory and Algorithms (5 papers). The work is most often cited by research in Computational Mathematics (29 citations), Hardware and Architecture (300 citations), Industrial and Manufacturing Engineering (321 citations), Structural Biology (30 citations) and Computer Networks and Communications (310 citations). Lin Gan has collaborated with scholars based in China, United Kingdom and Germany. Frequent co-authors include Haohuan Fu, Jiajia Jiang, Fajie Duan, Xiao Fu, Wei Xue, Chao Yang, Guangwen Yang, Guangwen Yang, Weimin Zheng and Xinliang Wang. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Computers, IEEE Micro, Sensors and Future Generation Computer 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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