Bing‐Fei Wu

2.9k citations
169 papers · 2.1k · h-index 25

Impact in

Papers in

Bing‐Fei Wu

161 papers receiving 2.0k citations

Peers

Bing‐Fei Wu
Comparison fields: 5 of 118
  • Computer Vision and Pattern Recognition 971
  • Automotive Engineering 543
  • Signal Processing 288
  • Media Technology 145
  • Human-Computer Interaction 79
Replace Mahmood Fathy with:
Mahmood Fathy Iran
Sang Woo Kim South Korea
Mohamed Atri Tunisia
Jie Yang United States
Duan-Yu Chen Taiwan
Senem Velipasalar United States
Yong-Ping Zhao China
Isaac Skog Sweden
Yangsheng Xu Hong Kong
J. Nuevo Spain
Bing‐Fei Wu relative to Mahmood Fathy Iran Mahmood Fathy's profile →
Citations per field
00.5×1.6×
Mahmood Fathy · 1×
Citations per year

Countries citing papers authored by Bing‐Fei Wu

Since Specialization
Citations

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

Fields of papers citing papers by Bing‐Fei Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 169 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010160
2 2005100
3 200899
4 200591
5 201874
6 202057
7 199255
8 201449
9 200646
10 201339
11 201337
12 201237
13 201234
14 200734
15 200933
16 201033
17 200933
18 201432
19 201931
20 201331

About Bing‐Fei Wu

Bing‐Fei Wu is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Biomedical Engineering, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 169 papers that have together received 2.1k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (42 papers), Video Surveillance and Tracking Methods (35 papers), Non-Invasive Vital Sign Monitoring (25 papers), Image and Signal Denoising Methods (21 papers), Advanced Data Compression Techniques (20 papers), Heart Rate Variability and Autonomic Control (19 papers), Gaze Tracking and Assistive Technology (11 papers) and Digital Filter Design and Implementation (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (971 citations), Automotive Engineering (543 citations), Signal Processing (288 citations), Media Technology (145 citations) and Human-Computer Interaction (79 citations). Bing‐Fei Wu has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Yen‐Lin Chen, Po‐Wei Huang, Jau‐Woei Perng, Hsin‐Han Chiang, Edmond Jonckheere, Chao‐Jung Chen, Ying-Han Chen, Tsu‐Tian Lee, Chung‐Cheng Chiu and Shinq-Jen Wu. Their work appears in journals such as IEEE Access, IEEE Transactions on Instrumentation and Measurement, IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Industrial Electronics.

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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