L. P. Fu

538 total citations
11 papers, 12 citations indexed

About

L. P. Fu is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, L. P. Fu has authored 11 papers receiving a total of 12 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Biomedical Engineering, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Artificial Intelligence. Recurrent topics in L. P. Fu's work include Digital Imaging for Blood Diseases (2 papers), Microfluidic and Bio-sensing Technologies (2 papers) and AI in cancer detection (2 papers). L. P. Fu is often cited by papers focused on Digital Imaging for Blood Diseases (2 papers), Microfluidic and Bio-sensing Technologies (2 papers) and AI in cancer detection (2 papers). L. P. Fu collaborates with scholars based in China. L. P. Fu's co-authors include Yan Li, Lingling Sun, X.A. Zhuang, Huiru Zheng, Xiwei Huang, Jin Chen, Yan Xia, Hao Yu, Dongmei Chen and Yang Zhang and has published in prestigious journals such as Energies, IEEE Sensors Journal and Frontiers in Oncology.

In The Last Decade

L. P. Fu

6 papers receiving 12 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L. P. Fu China 3 4 3 3 2 2 11 12
Agnes Reschke United States 3 3 0.8× 3 1.0× 2 0.7× 1 0.5× 4 8
Jaclyn M. Long United States 2 4 1.0× 2 0.7× 2 0.7× 1 0.5× 5 7
Florian Lutz Germany 2 4 1.0× 2 0.7× 3 1.0× 2 8
Gaëtan Galisot France 2 2 0.5× 2 0.7× 2 0.7× 2 1.0× 4 9
Dina Mansour Aly Sweden 3 2 0.5× 5 1.7× 2 0.7× 2 1.0× 5 32
Yu-Qi Ping China 2 2 0.5× 2 0.7× 2 0.7× 3 3
Erik Storrs United States 2 2 0.5× 5 1.7× 2 0.7× 4 5
M Holland United Kingdom 1 3 0.8× 3 1.0× 1 0.3× 2 1.0× 2 11
Y. Gan China 2 3 0.8× 3 1.0× 4 13
Xuancheng Jin China 2 3 0.8× 3 1.0× 4 4

Countries citing papers authored by L. P. Fu

Since Specialization
Citations

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

Fields of papers citing papers by L. P. Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. P. Fu

This figure shows the co-authorship network connecting the top 25 collaborators of L. P. Fu. A scholar is included among the top collaborators of L. P. 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 L. P. Fu. L. P. Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
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2.
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Fu, L. P., et al.. (2025). DCNet: Full waveform inversion with difference convolution. Journal of Applied Geophysics. 240. 105762–105762.
4.
Fu, L. P., et al.. (2025). CNN and Transformer-based deep learning models for automated white blood cell detection. Image and Vision Computing. 161. 105631–105631. 2 indexed citations
5.
Lv, Zhengbing, Dayang Li, Shuicheng Yan, et al.. (2025). FPGA-Based Low-Power High-Performance CNN Accelerator Integrating DIST for Rice Leaf Disease Classification. Electronics. 14(9). 1704–1704.
6.
Chen, Jin, Jingjing Sun, L. P. Fu, et al.. (2024). A microfluidic device integrating spiral focusing and micropillar filtration for Enhanced separation of Overlapping-Sized microparticles. Microchemical Journal. 208. 112570–112570. 1 indexed citations
7.
Zhuang, X.A., Yan Li, Huiru Zheng, & L. P. Fu. (2024). Evaluating the prognostic relevance of neutrophil-to-lymphocyte ratio in cervical cancer: a systematic review and meta-analysis. Frontiers in Oncology. 14. 1461175–1461175. 3 indexed citations
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Chen, Jin, L. P. Fu, Shaobo Luo, et al.. (2024). Artificial Intelligence-Assisted Microfluidic Bio-Imaging—From Sensors to Applications: A Review. IEEE Sensors Journal. 25(2). 2056–2072. 2 indexed citations
10.
Chen, Jin, et al.. (2024). Label-free white blood cells classification using a deep feature fusion neural network. Heliyon. 10(11). e31496–e31496. 2 indexed citations
11.

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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2026