Fei Yan

939 total citations
59 papers, 674 citations indexed

About

Fei Yan is a scholar working on Control and Systems Engineering, Automotive Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fei Yan has authored 59 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Control and Systems Engineering, 15 papers in Automotive Engineering and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fei Yan's work include Autonomous Vehicle Technology and Safety (14 papers), Advanced Neural Network Applications (13 papers) and Video Surveillance and Tracking Methods (11 papers). Fei Yan is often cited by papers focused on Autonomous Vehicle Technology and Safety (14 papers), Advanced Neural Network Applications (13 papers) and Video Surveillance and Tracking Methods (11 papers). Fei Yan collaborates with scholars based in China, France and United States. Fei Yan's co-authors include Yue Zhao, Jiahui Wang, Abdellah El Moudni, Mahjoub Dridi, Yi Shen, Jia Wu, Jiyong Zhang, Tao Deng, Jianxing Liu and Xiaomin Wang and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Power Electronics and Expert Systems with Applications.

In The Last Decade

Fei Yan

47 papers receiving 660 citations

Peers

Fei Yan
Comparison fields: 5 of 65
  • Control and Systems Engineering 397
  • Automotive Engineering 153
  • Artificial Intelligence 134
  • Computer Networks and Communications 127
  • Electrical and Electronic Engineering 118
Replace Franck Gechter with:
Franck Gechter France
Guozhen Tan China
Edwin Hou United States
J. L. Martins de Carvalho Portugal
Derek Caveney United States
Gabriel Rodrigues de Campos Sweden
Waqar Malik United States
Jingliang Duan China
Franck Gechter France View profile →
Citations per field, relative to Fei Yan
Fei Yan · 1×
Citations per year, relative to Fei Yan
Fei Yan · 1×

Countries citing papers authored by Fei Yan

Since Specialization
Citations

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

Fields of papers citing papers by Fei Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Yan. A scholar is included among the top collaborators of Fei Yan 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 Fei Yan. Fei Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 0
3 1
4 3
5 4
6 0
7 0
8 9
9 0
10 1
11 0
12 8
13 13
14 154
15 11
16
Insights into the Viability of Using Available Photonic Quantum Technologies for Efficient Image and Video Processing Applications.
9
17 8
18 0
19
Combinatorial optimization algorithms for intelligent vehicle sequencing problem at an isolated intersection
1
20 1

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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