Fei Wen

1.9k citations
81 papers · 1.3k · h-index 19

Impact in

Papers in

Fei Wen

75 papers receiving 1.2k citations

Peers

Fei Wen
Comparison fields: 5 of 107
  • Signal Processing 390
  • Computer Vision and Pattern Recognition 493
  • Computational Mathematics 11
  • Computational Mechanics 370
  • Media Technology 117
Replace Fuliang Yin with:
Fuliang Yin China
Yosi Keller Israel
Sajid Javed United Arab Emirates
Eduardo Bayro–Corrochano Mexico
Gérard Medioni United States
Timo Aila United Kingdom
André Kaup Germany
Guoshen Yu France
Hao Shen Germany
Fei Wen relative to Fuliang Yin China Fuliang Yin's profile →
Citations per field
00.5×2.8×
Fuliang Yin · 1×
Citations per year

Countries citing papers authored by Fei Wen

Since Specialization
Citations

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

Fields of papers citing papers by Fei Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020112
2 2018111
3 2016102
4 201770
5 202268
6 201460
7 201853
8 201947
9 202045
10 201741
11 201936
12 201929
13 201728
14 201926
15 201725
16 202221
17 202221
18 201820
19 201618
20 201918

About Fei Wen

Fei Wen is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Computational Mechanics, Aerospace Engineering and Electrical and Electronic Engineering, having authored 81 papers that have together received 1.3k indexed citations. Recurring topics across this work include Speech and Audio Processing (23 papers), Sparse and Compressive Sensing Techniques (15 papers), Robotics and Sensor-Based Localization (14 papers), Blind Source Separation Techniques (12 papers), Direction-of-Arrival Estimation Techniques (11 papers), Indoor and Outdoor Localization Technologies (10 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Robotic Path Planning Algorithms (7 papers). The work is most often cited by research in Signal Processing (390 citations), Computer Vision and Pattern Recognition (493 citations), Computational Mathematics (11 citations), Computational Mechanics (370 citations) and Media Technology (117 citations). Fei Wen has collaborated with scholars based in China, United States and Hungary. Frequent co-authors include Peilin Liu, Robert C. Qiu, Rendong Ying, Qun Wan, Yipeng Liu, Lei Chu, Wenxian Yu, Trieu‐Kien Truong, Jiuchao Qian and Ling Pei. Their work appears in journals such as IEEE Access, IEEE Sensors Journal, IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Signal Processing and IEEE Transactions on Information Forensics and Security.

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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