Huibin Li

3.2k total citations · 2 hit papers
50 papers, 1.9k citations indexed

About

Huibin Li is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Biomedical Engineering. According to data from OpenAlex, Huibin Li has authored 50 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Vision and Pattern Recognition, 10 papers in Computational Mechanics and 7 papers in Biomedical Engineering. Recurrent topics in Huibin Li's work include Face recognition and analysis (14 papers), Face and Expression Recognition (13 papers) and 3D Shape Modeling and Analysis (7 papers). Huibin Li is often cited by papers focused on Face recognition and analysis (14 papers), Face and Expression Recognition (13 papers) and 3D Shape Modeling and Analysis (7 papers). Huibin Li collaborates with scholars based in China, France and Saudi Arabia. Huibin Li's co-authors include Jian Sun, Zongben Xu, Yan Yang, Liming Chen, Jean‐Marie Morvan, Di Huang, Zongben Xu, Yunhong Wang, Yunhong Wang and Feng Liu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Optics Express.

In The Last Decade

Huibin Li

43 papers receiving 1.9k citations

Hit Papers

Deep ADMM-Net for compressive sensing MRI 2016 2026 2019 2022 2016 2018 100 200 300 400 500

Peers

Huibin Li
Comparison fields: 5 of 110
  • Computer Vision and Pattern Recognition 971
  • Computational Mechanics 558
  • Radiology, Nuclear Medicine and Imaging 509
  • Biomedical Engineering 436
  • Signal Processing 229
Replace V. Ralph Algazi with:
V. Ralph Algazi United States
Hassan Mansour United States
Jan Kybic Czechia
François G. Meyer United States
Chandra Sekhar Seelamantula India
Shuaiqi Liu China
Lu Gan United Kingdom
Jaakko Lehtinen Finland
Paolo Favaro Switzerland
Emad Fatemizadeh Iran
V. Ralph Algazi United States View profile →
Citations per field, relative to Huibin Li
Huibin Li · 1×
Citations per year, relative to Huibin Li
Huibin Li · 1×

Countries citing papers authored by Huibin Li

Since Specialization
Citations

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

Fields of papers citing papers by Huibin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huibin Li

This figure shows the co-authorship network connecting the top 25 collaborators of Huibin Li. A scholar is included among the top collaborators of Huibin 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 Huibin Li. Huibin 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 1
4 0
5 0
6 3
7 8
8 1
9 4
10 1
11 2
12 1
13 8
14 9
15 1
16 21
17
ADMM-CSNet: A Deep Learning Approach for Image Compressive Sensing breakdown →
560
18
Deep ADMM-Net for compressive sensing MRI breakdown →
564
19 4
20 26

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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