Ping Fu

1.2k total citations
87 papers, 860 citations indexed

About

Ping Fu is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Ping Fu has authored 87 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computer Vision and Pattern Recognition, 27 papers in Electrical and Electronic Engineering and 14 papers in Biomedical Engineering. Recurrent topics in Ping Fu's work include Visual Attention and Saliency Detection (11 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Video Surveillance and Tracking Methods (8 papers). Ping Fu is often cited by papers focused on Visual Attention and Saliency Detection (11 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Video Surveillance and Tracking Methods (8 papers). Ping Fu collaborates with scholars based in China, United States and Australia. Ping Fu's co-authors include Junbao Li, Mingzhu Xu, Di Zhou, Shou Feng, Lei Feng, Huijun Wu, Jun-Bao Li, Yu Hen Hu, Shu‐Chuan Chu and John F. Roddick and has published in prestigious journals such as Journal of Power Sources, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Ping Fu

80 papers receiving 826 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ping Fu China 17 374 249 133 101 100 87 860
Yahia Said Saudi Arabia 18 547 1.5× 185 0.7× 80 0.6× 131 1.3× 234 2.3× 122 1.1k
Xinshan Zhu China 15 440 1.2× 232 0.9× 59 0.4× 117 1.2× 86 0.9× 75 888
Lei Han China 16 289 0.8× 122 0.5× 56 0.4× 55 0.5× 99 1.0× 76 945
Yao Liu China 16 240 0.6× 330 1.3× 81 0.6× 33 0.3× 155 1.6× 82 890
Jiawei Xu China 15 390 1.0× 92 0.4× 79 0.6× 263 2.6× 117 1.2× 41 794
Mohsen Soryani Iran 17 363 1.0× 105 0.4× 81 0.6× 60 0.6× 232 2.3× 68 945
Lin Zuo China 18 378 1.0× 218 0.9× 99 0.7× 72 0.7× 234 2.3× 53 1.0k
Jaerock Kwon United States 15 149 0.4× 260 1.0× 175 1.3× 34 0.3× 57 0.6× 61 704
Chunxiao Liu China 9 385 1.0× 114 0.5× 298 2.2× 64 0.6× 143 1.4× 42 726
Mohd Nadhir Ab Wahab Malaysia 15 366 1.0× 175 0.7× 67 0.5× 47 0.5× 287 2.9× 45 1.1k

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-authorship network of co-authors of Ping Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Fu. A scholar is included among the top collaborators of Ping Fu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ping Fu. Ping Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Song, Lirong, Ping Fu, Wenjie Zhao, et al.. (2025). Design and Research of Multi-outlet Microfluidic Chip Based on Pesticide Residue Detection. Chiang Mai Journal of Science. 52(5). 1–11.
2.
Fu, Ping, et al.. (2025). Self-Supervised Pretraining With Multimodality Representation Enhancement for Salient Object Detection in RGB-D Images. IEEE Transactions on Instrumentation and Measurement. 74. 1–14. 1 indexed citations
3.
Fu, Ping, et al.. (2023). UMINet: a unified multi-modality interaction network for RGB-D and RGB-T salient object detection. The Visual Computer. 40(3). 1565–1582. 8 indexed citations
4.
Zhou, Xinyu, et al.. (2023). Adaptation of Deep Network in Transfer Learning for Estimating State of Health in Electric Vehicles during Operation. Batteries. 9(11). 547–547. 6 indexed citations
5.
6.
7.
Zhou, Di, et al.. (2021). Research on state of health prediction model for lithium batteries based on actual diverse data. Energy. 230. 120851–120851. 34 indexed citations
8.
Liu, Bing, et al.. (2020). Facial Landmarks Detection under Occlusions via Extended Restricted Boltzmann Machine. 網際網路技術學刊. 21(5). 1233–1241. 2 indexed citations
9.
Wang, Zhenyu, et al.. (2020). Design and Implementation of FC-AE Fault Simulation Instrument. 44. 1–6.
10.
Chen, Shaohui, et al.. (2020). A New Calibration Approach for Charging Facilities for Electric Vehicles via Machine Learning. 1217–1221. 1 indexed citations
11.
Liu, Bing, et al.. (2019). Method of Target Recognition in High-resolution Remote Sensing Image Based on Visual Saliency Mechanism and ROI Region Extraction. 網際網路技術學刊. 20(5). 1333–1341. 4 indexed citations
12.
Fu, Ping, et al.. (2019). Experimental and Model Study on Thermal Performance of Ultra-Light Aerogel Foam Concrete. 38(10). 3102–3110.
13.
Liu, Bing, Mingzhu Xu, & Ping Fu. (2019). Graph-based Clustering with Spatiotemporal Contour Energy for Video Salient Object Detection.. J. Inf. Hiding Multim. Signal Process.. 10. 359–367. 1 indexed citations
14.
Zhou, Di, et al.. (2019). Research on Online Capacity Estimation of Power Battery Based on EKF-GPR Model. Journal of Chemistry. 2019. 1–9. 15 indexed citations
15.
Fu, Ping, et al.. (2014). Face Feature Selection with Binary Particle Swarm Optimization and Support Vector Machine.. J. Inf. Hiding Multim. Signal Process.. 5. 731–739. 19 indexed citations
16.
17.
Li, Junbao, et al.. (2013). Sparse representation-based MRI super-resolution reconstruction. Measurement. 47. 946–953. 60 indexed citations
18.
Fu, Ping, et al.. (2012). Research on optimization mechanism of virus evolutionary genetic algorithm. 612–614. 1 indexed citations
19.
Sun, Zhonghua, Kebin Jia, Gang Zhao, & Ping Fu. (2009). Hierarchical Clustering Tree for Organizing and Indexing of Image Database. 20. 1–4. 1 indexed citations
20.
Jiang, Ming, Bo Xing, Zhonghua Sun, et al.. (2005). A Dynamic Blood Information Management System Based on RFID. PubMed. 3156. 546–549. 26 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yahia Said Breakdown of academic impact, for papers by Xinshan Zhu Breakdown of academic impact, for papers by Lei Han Breakdown of academic impact, for papers by Yao Liu Breakdown of academic impact, for papers by Jiawei Xu Breakdown of academic impact, for papers by Mohsen Soryani Breakdown of academic impact, for papers by Lin Zuo Breakdown of academic impact, for papers by Jaerock Kwon Breakdown of academic impact, for papers by Chunxiao Liu Breakdown of academic impact, for papers by Mohd Nadhir Ab Wahab
Rankless by CCL
2026