Fu Li

1.6k citations
107 papers · 964 · h-index 14

Impact in

Papers in

Fu Li

89 papers receiving 914 citations

Peers

Fu Li
Comparison fields: 5 of 110
  • Computer Vision and Pattern Recognition 368
  • Signal Processing 193
  • Computer Graphics and Computer-Aided Design 27
  • Electrical and Electronic Engineering 296
  • Media Technology 35
Replace Guangrun Wang with:
Guangrun Wang China
Zhilong Zhang China
Kun Zhang China
Chin‐Hsing Chen Taiwan
Tao Luo China
Yaqin Zhou China
Wenbo Li China
Li Yao China
Jing Jin China
Fu Li relative to Guangrun Wang China Guangrun Wang's profile →
Citations per field
00.5×2.8×
Guangrun Wang · 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 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201888
2 199171
3 202171
4 200961
5 202151
6 201848
7 201946
8 202145
9 201336
10 202034
11 199422
12 200619
13 199018
14 202018
15 202013
16 202313
17 200213
18 201613
19 200212
20 201612

About Fu Li

Fu Li is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering, Computational Mechanics and Mechanical Engineering, having authored 107 papers that have together received 964 indexed citations. Recurring topics across this work include Advanced Power Amplifier Design (22 papers), Radio Frequency Integrated Circuit Design (20 papers), PAPR reduction in OFDM (8 papers), Wireless Communication Networks Research (6 papers), Direction-of-Arrival Estimation Techniques (5 papers), Full-Duplex Wireless Communications (5 papers), Advanced Adaptive Filtering Techniques (5 papers) and Generative Adversarial Networks and Image Synthesis (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (368 citations), Signal Processing (193 citations), Computer Graphics and Computer-Aided Design (27 citations), Electrical and Electronic Engineering (296 citations) and Media Technology (35 citations). Fu Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include R.J. Vaccaro, Dongliang He, Tianwei Lin, Guangming Shi, Xin Li, Shilei Wen, Li Zhang, Weifeng Liu, Xiang Long and Chuang Gan. Their work appears in journals such as IEEE Access, The Journal of Engineering, IEEE Transactions on Instrumentation and Measurement, Electronics and Annals of Nuclear Energy.

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