Yunfeng Li

1.2k total citations
49 papers, 764 citations indexed

About

Yunfeng Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Yunfeng Li has authored 49 papers receiving a total of 764 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Yunfeng Li's work include Seismic Imaging and Inversion Techniques (8 papers), Seismic Waves and Analysis (5 papers) and Electricity Theft Detection Techniques (4 papers). Yunfeng Li is often cited by papers focused on Seismic Imaging and Inversion Techniques (8 papers), Seismic Waves and Analysis (5 papers) and Electricity Theft Detection Techniques (4 papers). Yunfeng Li collaborates with scholars based in China, France and United States. Yunfeng Li's co-authors include Yukun Cao, Yunpeng Gao, Tadamasa Sawada, Robert M. Steinman, Sicong Liu, Peijun Du, Zygmunt Pizlo, Junshi Xia, Hao Liang and Xin Wang and has published in prestigious journals such as Proceedings of the IEEE, Journal of Cleaner Production and IEEE Transactions on Power Systems.

In The Last Decade

Yunfeng Li

43 papers receiving 723 citations

Peers

Yunfeng Li
Comparison fields: 5 of 96
  • Computer Vision and Pattern Recognition 178
  • Artificial Intelligence 153
  • Information Systems 149
  • Electrical and Electronic Engineering 137
  • Media Technology 99
Replace Luis Vergara with:
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Liguo Zhang China
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Abdul Waheed Pakistan
Jeff Heaton United States
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Luis Vergara Spain View profile →
Citations per field, relative to Yunfeng Li
Yunfeng Li · 1×
Citations per year, relative to Yunfeng Li
Yunfeng Li · 1×

Countries citing papers authored by Yunfeng Li

Since Specialization
Citations

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

Fields of papers citing papers by Yunfeng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunfeng Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yunfeng Li. A scholar is included among the top collaborators of Yunfeng 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 Yunfeng Li. Yunfeng 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
# Work Indexed citations
1 0
2 0
3 0
4 2
5 0
6 36
7 2
8 39
9 19
10 47
11 45
12 28
13 7
14 6
15 5
16 4
17 4
18
Palmprint Recognition by Fusion of Local Binary Pattern and Wavelet Features
1
19 171
20 3

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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