Fu Li

3.0k total citations · 2 hit papers
92 papers, 1.8k citations indexed

About

Fu Li is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Signal Processing. According to data from OpenAlex, Fu Li has authored 92 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computer Vision and Pattern Recognition, 18 papers in Cognitive Neuroscience and 15 papers in Signal Processing. Recurrent topics in Fu Li's work include Advanced Vision and Imaging (19 papers), EEG and Brain-Computer Interfaces (15 papers) and Optical measurement and interference techniques (12 papers). Fu Li is often cited by papers focused on Advanced Vision and Imaging (19 papers), EEG and Brain-Computer Interfaces (15 papers) and Optical measurement and interference techniques (12 papers). Fu Li collaborates with scholars based in China, United States and Singapore. Fu Li's co-authors include Guangming Shi, Dongliang He, Errui Ding, Yi Niu, Tianwei Lin, Boxun Fu, Shilei Wen, Songhua Liu, Jizhou Huang and Xin Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Chemical Engineering Journal.

In The Last Decade

Fu Li

85 papers receiving 1.7k citations

Hit Papers

AdaAttN: Revisit Attention Mechanism in Arbitrary Neural ... 2021 2026 2022 2024 2021 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fu Li China 21 1.1k 418 305 178 176 92 1.8k
Changle Zhou China 24 464 0.4× 603 1.4× 441 1.4× 127 0.7× 115 0.7× 196 2.1k
Sheng-hua Zhong China 22 964 0.9× 272 0.7× 448 1.5× 225 1.3× 110 0.6× 92 1.7k
Mohammed Yeasin United States 21 612 0.6× 485 1.2× 406 1.3× 129 0.7× 251 1.4× 107 1.8k
Matthew R. Scott United States 23 1.5k 1.4× 218 0.5× 576 1.9× 74 0.4× 35 0.2× 47 2.2k
Yi Niu China 18 714 0.7× 301 0.7× 199 0.7× 103 0.6× 129 0.7× 74 1.2k
Heiko Neumann Germany 26 907 0.9× 1.2k 3.0× 243 0.8× 31 0.2× 131 0.7× 161 2.4k
Hyo Jong Lee South Korea 19 522 0.5× 511 1.2× 171 0.6× 151 0.8× 277 1.6× 99 1.3k
Gregory Shakhnarovich United States 26 2.3k 2.2× 252 0.6× 819 2.7× 264 1.5× 22 0.1× 45 3.1k
Rajeev Sharma India 18 386 0.4× 893 2.1× 197 0.6× 587 3.3× 131 0.7× 67 1.7k
Hilary Buxton United Kingdom 19 790 0.7× 245 0.6× 302 1.0× 85 0.5× 38 0.2× 68 1.2k

Countries citing papers authored by Fu Li

Since Specialization
Citations

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

Fields of papers citing papers by Fu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fu Li

This figure shows the co-authorship network connecting the top 25 collaborators of Fu Li. A scholar is included among the top collaborators of Fu Li 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 Fu Li. Fu Li 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.
Wu, Hao, et al.. (2025). A novel RSVP-based system using EEG and eye-movement for classification and localization. Biomedical Signal Processing and Control. 103. 107331–107331. 1 indexed citations
2.
Li, Fu, et al.. (2025). VGRF Signal-Based Gait Analysis for Parkinson’s Disease Detection: A Multi-Scale Directed Graph Neural Network Approach. IEEE Journal of Biomedical and Health Informatics. 30(1). 100–112.
3.
Luo, Yixin, H. J. Yang, Fu Li, et al.. (2025). Boosting selectivity in glucose hydrogenation to sorbitol by optimizing Fe distribution in alloys and supports. Chemical Engineering Journal. 513. 162968–162968.
4.
Li, Fu, Lijuan Tong, Rongrong Yang, et al.. (2025). Monophosphoryl lipid A induces tolerance against single prolonged stress-induced PTSD-like behavior and neuroinflammatory responses in mice. European Journal of Pharmacology. 1007. 178256–178256.
5.
Fu, Boxun, Fu Li, Yang Li, et al.. (2024). Improved Motor Imagery EEG Interdevice Decoding by Reweighting Multisource Domain Samples. IEEE Transactions on Instrumentation and Measurement. 73. 1–12. 2 indexed citations
6.
Ji, Feng, Chao Huang, Fu Li, et al.. (2024). A novel probiotic formula, BLLL, ameliorates chronic stress-induced depression-like behaviors in mice by reducing neuroinflammation and increasing neurotrophic factors. Frontiers in Pharmacology. 15. 1398292–1398292. 10 indexed citations
7.
Zhang, Peiming, Jia Wu, Chao Chen, et al.. (2024). Feasibility study of functional near-infrared spectroscopy in the ventral visual pathway for real-life applications. Neurophotonics. 11(1). 15002–15002. 6 indexed citations
8.
Li, Fu, Yang Li, Guangming Shi, et al.. (2023). Progressive graph convolution network for EEG emotion recognition. Neurocomputing. 544. 126262–126262. 51 indexed citations
9.
Fu, Boxun, et al.. (2023). SCDAN: Learning Common Feature Representation of Brain Activation for Intersubject Motor Imagery EEG Decoding. IEEE Transactions on Instrumentation and Measurement. 72. 1–15. 12 indexed citations
10.
Tang, Hao, Songhua Liu, Tianwei Lin, et al.. (2023). Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer. 18329–18338. 9 indexed citations
11.
Li, Fu, et al.. (2023). Zein nanoparticles stabilized by hydrophilic small molecule stabilizer matrine deliver curcumin effectively. SHILAP Revista de lepidopterología. 4(3). 35001–35001. 1 indexed citations
12.
Li, Yang, Fu Li, Boxun Fu, et al.. (2022). GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition. IEEE Transactions on Affective Computing. 14(3). 2512–2525. 122 indexed citations breakdown →
13.
Liu, Songhua, et al.. (2021). Paint Transformer: Feed Forward Neural Painting with Stroke Prediction. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 6578–6587. 51 indexed citations
14.
Zeng, Zheng, Siyuan Zhu, Yanzhou Wang, et al.. (2021). Resequencing of 301 ramie accessions identifies genetic loci and breeding selection for fibre yield traits. Plant Biotechnology Journal. 20(2). 323–334. 10 indexed citations
15.
Li, Fu, et al.. (2021). Decoding imagined speech from EEG signals using hybrid-scale spatial-temporal dilated convolution network. Journal of Neural Engineering. 18(4). 0460c4–0460c4. 20 indexed citations
16.
Jiao, Yang, Yi Niu, Lin Liu, et al.. (2018). Dynamic Range Reduction of SAR Image via Global Optimum Entropy Maximization With Reflectivity-Distortion Constraint. IEEE Transactions on Geoscience and Remote Sensing. 56(5). 2526–2538. 3 indexed citations
17.
Li, Fu. (2012). Blind digital image watermarking algorithm based on DCT. 1 indexed citations
18.
Li, Fu, et al.. (2011). Preparation and Bioactivities of PLGA/Nano-hydroxyapatite Scaffold Containing Chitosan Microspheres for Controlled Delivery of Mutifuncational Peptide-adrenomedullin. Gaodeng xuexiao huaxue xuebao. 32(7). 1622–1628. 3 indexed citations
19.
Li, Fu. (2003). Edge detection based on directional wavelet transform. 1 indexed citations
20.
Li, Fu. (2002). An Improved Vector Algorithm for Contour. Ceshi jishu xuebao. 1 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.

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