Fu Li

3.0k citations
92 papers · 1.8k · 2 hit papers · h-index 21

Impact in

Papers in

Fu Li

85 papers receiving 1.7k citations

Fu Li's Hit Papers

GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition 2022 · 122 citations
1220+1+3Years since publication50100150200

Peers

Fu Li
Comparison fields: 5 of 130
  • Computer Vision and Pattern Recognition 1.1k
  • Computer Graphics and Computer-Aided Design 97
  • Human-Computer Interaction 137
  • Cognitive Neuroscience 418
  • Signal Processing 178
Replace Matthew R. Scott with:
Matthew R. Scott United States
Daniel Holden United States
Changle Zhou China
Jiande Sun China
Ke Zou China
N. A. Thacker United Kingdom
Hyo Jong Lee South Korea
Ben Poole United States
Hao Tang China
Zhen Liu China
Fu Li relative to Matthew R. Scott United States Matthew R. Scott's profile →
Citations per field
00.5×4.8×
Matthew R. Scott · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Fu Li, 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 Fu Li Line = papers co-authored together Fu Li 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
AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer
Hit paper breakdown →
2021212
2 2019137
3
GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition
Hit paper breakdown →
2022122
4 2019102
5 201993
6 202189
7 201280
8 202056
9 201355
10 202052
11 202151
12 202351
13 202248
14 202144
15 201043
16 202227
17 201125
18 201423
19 202022
20 201921

About Fu Li

Fu Li is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Signal Processing, Artificial Intelligence and Media Technology, having authored 92 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (19 papers), EEG and Brain-Computer Interfaces (15 papers), Optical measurement and interference techniques (12 papers), Image Processing Techniques and Applications (8 papers), Human Pose and Action Recognition (8 papers), Advanced Image Processing Techniques (8 papers), Blind Source Separation Techniques (8 papers) and Video Surveillance and Tracking Methods (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Computer Graphics and Computer-Aided Design (97 citations), Human-Computer Interaction (137 citations), Cognitive Neuroscience (418 citations) and Signal Processing (178 citations). Fu Li has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Guangming Shi, Dongliang He, Errui Ding, Yi Niu, Tianwei Lin, Boxun Fu, Shilei Wen, Songhua Liu, Jizhou Huang and Xin Li. Their work appears in journals such as Journal of Neural Engineering, Journal of Visual Communication and Image Representation, Multimedia Tools and Applications, IEEE Transactions on Affective Computing and IEEE Transactions on Instrumentation and Measurement.

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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