Ping Fu

1.2k citations
92 papers · 930 · h-index 18

Impact in

    • Visual Attention and Saliency Detection
    • Advanced Neural Network Applications
    • Advanced Image and Video Retrieval Techniques
    • Advanced Image Processing Techniques
    • Video Surveillance and Tracking Methods
    • Face and Expression Recognition
    • Advanced Battery Technologies Research

Papers in

Ping Fu

85 papers receiving 895 citations

Peers

Ping Fu
Comparison fields: 5 of 104
  • Computer Vision and Pattern Recognition 403
  • Automotive Engineering 143
  • Media Technology 103
  • Signal Processing 57
  • Electrical and Electronic Engineering 258
Replace Qinghua Hu with:
Qinghua Hu China
Lei Han China
Mingwu Ren China
Tao Wu China
Massimo Merenda Italy
Zheng Guan China
Holger Rapp Germany
Yahia Said Saudi Arabia
Ping Fu relative to Qinghua Hu China Qinghua Hu's profile →
Citations per field
00.5×
Qinghua Hu · 1×
Citations per year

Countries citing papers authored by Ping Fu

Since Specialization
Citations

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

Fields of papers citing papers by Ping Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201978
2 201367
3 202059
4 202148
5 201839
6 202136
7 201935
8 201932
9 200530
10 200625
11 202025
12 202122
13 201920
14
Face Feature Selection with Binary Particle Swarm Optimization and Support Vector Machine.
201419
15 201819
16 201919
17 202118
18 201917
19 202017
20 201815

About Ping Fu

Ping Fu is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Biomedical Engineering, Control and Systems Engineering and Artificial Intelligence, having authored 92 papers that have together received 930 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (11 papers), Visual Attention and Saliency Detection (11 papers), Face and Expression Recognition (8 papers), Electrowetting and Microfluidic Technologies (8 papers), Video Surveillance and Tracking Methods (8 papers), Image Retrieval and Classification Techniques (8 papers), Advanced Battery Technologies Research (7 papers) and Infrared Target Detection Methodologies (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (403 citations), Automotive Engineering (143 citations), Media Technology (103 citations), Signal Processing (57 citations) and Electrical and Electronic Engineering (258 citations). Ping Fu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Junbao Li, Bing Liu, Mingzhu Xu, Di Zhou, Shou Feng, Lei Feng, Jun-Bao Li, Huijun Wu, Yu Hen Hu and John F. Roddick. Their work appears in journals such as Electronics, Measurement, IEEE Transactions on Instrumentation and Measurement, Review of Scientific Instruments and Applied Intelligence.

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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