Fei Yan

989 citations
65 papers · 717 · h-index 13

Impact in

Papers in

Fei Yan

49 papers receiving 703 citations

Peers

Fei Yan
Comparison fields: 5 of 69
  • Control and Systems Engineering 414
  • Automotive Engineering 161
  • Transportation 89
  • Computer Networks and Communications 130
  • Artificial Intelligence 147
Replace Franck Gechter with:
Franck Gechter France
Gang Huang China
Yifan Zhang China
Joongheon Kim South Korea
Ma Liang China
Guozhen Tan China
Xiaomin Ma United States
Yuming Ge China
Jianhui Zhang China
Fei Yan relative to Franck Gechter France Franck Gechter's profile →
Citations per field
00.5×1.5×2.2×
Franck Gechter · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018156
2 202290
3 200973
4 201762
5 201941
6 201336
7 202136
8 202119
9 201817
10 201914
11 202412
12 201012
13 202012
14 201811
15
Insights into the Viability of Using Available Photonic Quantum Technologies for Efficient Image and Video Processing Applications.
20139
16 20219
17 20139
18 20138
19 20228
20 20198

About Fei Yan

Fei Yan is a scholar working on Control and Systems Engineering, Automotive Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 65 papers that have together received 717 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (15 papers), Advanced Neural Network Applications (14 papers), Distributed Control Multi-Agent Systems (12 papers), Video Surveillance and Tracking Methods (11 papers), Adaptive Control of Nonlinear Systems (9 papers), Neural Networks Stability and Synchronization (9 papers), Traffic control and management (9 papers) and Traffic Prediction and Management Techniques (6 papers). The work is most often cited by research in Control and Systems Engineering (414 citations), Automotive Engineering (161 citations), Transportation (89 citations), Computer Networks and Communications (130 citations) and Artificial Intelligence (147 citations). Fei Yan has collaborated with scholars based in China, France and United States. Frequent co-authors include Yue Zhao, Jiahui Wang, Mahjoub Dridi, Abdellah El Moudni, Yi Shen, Jia Wu, Jiyong Zhang, Tao Deng, Jianxing Liu and Xiaomin Wang. Their work appears in journals such as Journal of the Franklin Institute, ISA Transactions, Sensors, Information Sciences and Neurocomputing.

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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