Yufeng Liu

8.3k citations
281 papers · 4.6k indexed · h-index 34
Topics
Statistical Methods and Inference (55 papers)Face and Expression Recognition (27 papers)Sparse and Compressive Sensing Techniques (25 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Yufeng Liu

247 papers receiving 4.4k citations

Peers

Yufeng Liu
Comparison fields: 5 of 201
  • Molecular Biology 1.0k
  • Artificial Intelligence 997
  • Statistics and Probability 997
  • Computer Vision and Pattern Recognition 639
  • Computational Mechanics 411
Replace Weidong Liu with:
Weidong Liu China
Xiaotong Shen United States
George Michailidis United States
Bin Yu China
Jos De Brabanter Belgium
Hao Helen Zhang United States
Yang Feng United States
Tong Zhang China
Sheng Li China
Michael Cantor United States
Yufeng Liu relative to Weidong Liu China Weidong Liu's profile →
Citations per field
00.5×2.9×
Weidong Liu · 1×
Citations per year

Countries citing papers authored by Yufeng Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yufeng Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yufeng Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yufeng Liu. A scholar is included among the top collaborators of Yufeng Liu 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 Yufeng Liu. Yufeng Liu 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
#WorkIndexed citations
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6 0
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15 22
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18 194
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Study of sustainable development assessment and countermeasures in Liaoning Province
1

About Yufeng Liu

Yufeng Liu is a scholar working on Statistics and Probability, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 281 papers that have together received 4.6k indexed citations. Recurring topics across this work include Statistical Methods and Inference (55 papers), Face and Expression Recognition (27 papers) and Sparse and Compressive Sensing Techniques (25 papers). The work is most often cited by research in Statistics and Probability (997 citations), Computer Vision and Pattern Recognition (639 citations) and Artificial Intelligence (997 citations). Yufeng Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yichao Wu, Hao Helen Zhang, Xiaotong Shen, J. S. Marron, D. Neil Hayes, Youjuan Li, Ji Zhu, Xingye Qiao, Andrew B. Nobel and Changxing Zhang. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Journal of the American Statistical Association.

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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