Fang Lin

41 total papers · 743 total citations
31 papers, 469 citations indexed

About

Fang Lin is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fang Lin has authored 31 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 7 papers in Biomedical Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fang Lin's work include Gait Recognition and Analysis (5 papers), Neural dynamics and brain function (5 papers) and EEG and Brain-Computer Interfaces (4 papers). Fang Lin is often cited by papers focused on Gait Recognition and Analysis (5 papers), Neural dynamics and brain function (5 papers) and EEG and Brain-Computer Interfaces (4 papers). Fang Lin collaborates with scholars based in China, United States and Malta. Fang Lin's co-authors include Hai Jiang, Songchen Han, Ren Yang, Xuan Zhu, Hongyu Zhao, Zhelong Wang, Sen Qiu, Zhao Zhang, Ke Huang and Xianfeng Yang and has published in prestigious journals such as Magnetic Resonance in Medicine, IEEE Access and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Fang Lin

30 papers receiving 454 citations

Hit Papers

R2RNet: Low-light image e... 2022 2026 2023 2024 2022 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Fang Lin 236 86 56 56 47 31 469
Sei-Wang Chen 255 1.1× 53 0.6× 153 2.7× 32 0.6× 38 0.8× 38 488
Di Zang 160 0.7× 69 0.8× 28 0.5× 88 1.6× 24 0.5× 44 507
Xiaohan Yang 132 0.6× 75 0.9× 27 0.5× 26 0.5× 24 0.5× 51 411
Pedro Revenga 247 1.0× 64 0.7× 94 1.7× 57 1.0× 20 0.4× 32 454
Jia-Li Yin 305 1.3× 181 2.1× 51 0.9× 16 0.3× 48 1.0× 34 523
Tomohiro Mashita 259 1.1× 29 0.3× 29 0.5× 27 0.5× 27 0.6× 62 423
Tae‐Koo Kang 240 1.0× 42 0.5× 40 0.7× 37 0.7× 42 0.9× 48 433
Haoran Wei 203 0.9× 28 0.3× 48 0.9× 47 0.8× 64 1.4× 30 420
Robert P. Loce 299 1.3× 93 1.1× 84 1.5× 13 0.2× 13 0.3× 49 484
Xu Li 178 0.8× 33 0.4× 57 1.0× 31 0.6× 28 0.6× 42 465

Countries citing papers authored by Fang Lin

Since Specialization
Citations

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

Fields of papers citing papers by Fang Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Lin. A scholar is included among the top collaborators of Fang Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fang Lin. Fang Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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