Ping Fu

1.2k citations
87 papers · 860 · h-index 17

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
    • Image and Signal Denoising Methods

Papers in

Ping Fu

80 papers receiving 826 citations

Peers

Ping Fu
Comparison fields: 5 of 103
  • Computer Vision and Pattern Recognition 374
  • Media Technology 101
  • Automotive Engineering 133
  • Signal Processing 53
  • Electrical and Electronic Engineering 249
Replace Lei Han with:
Lei Han China
Chunxiao Liu China
Osamu Yoshie Japan
Tao Wu China
Zheng Guan China
Massimo Merenda Italy
Mingwu Ren China
Mohd Nadhir Ab Wahab Malaysia
Yahia Said Saudi Arabia
Wenbo Chu China
Ping Fu relative to Lei Han China Lei Han's profile →
Citations per field
00.5×10×
Lei Han · 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 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201974
2 201360
3 202053
4 202145
5 201837
6 201935
7 202134
8 201932
9 200526
10 200624
11 202023
12 202122
13 201920
14
Face Feature Selection with Binary Particle Swarm Optimization and Support Vector Machine.
201419
15 201819
16 201918
17 202117
18 202016
19 201915
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 Media Technology, having authored 87 papers that have together received 860 indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (11 papers), Advanced Image and Video Retrieval Techniques (10 papers), Video Surveillance and Tracking Methods (8 papers), Electrowetting and Microfluidic Technologies (8 papers), Image Retrieval and Classification Techniques (8 papers), Advanced Battery Technologies Research (7 papers), Infrared Target Detection Methodologies (6 papers) and Face and Expression Recognition (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (374 citations), Media Technology (101 citations), Automotive Engineering (133 citations), Signal Processing (53 citations) and Electrical and Electronic Engineering (249 citations). Ping Fu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Junbao Li, Mingzhu Xu, Di Zhou, Shou Feng, Lei Feng, Yu Hen Hu, Jun-Bao Li, Huijun Wu, Shu‐Chuan Chu and John F. Roddick. Their work appears in journals such as Electronics, IEEE Transactions on Instrumentation and Measurement, Review of Scientific Instruments, Neurocomputing 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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