Yong‐Jin Liu

248 papers receiving 7.2k citations

Hit Papers

CASME II: An Improved Spontaneous Micro-Expression Databa...201420262018202220142015202020212021200400600

Peers

Yong‐Jin Liu
Comparison fields: 5 of 181
  • Computer Vision and Pattern Recognition 3.2k
  • Experimental and Cognitive Psychology 1.8k
  • Cognitive Neuroscience 992
  • Computational Mechanics 948
  • Computer Graphics and Computer-Aided Design 767
Replace Hui Yu with:
Hui Yu China
Daniël Thalmann Switzerland
Norman I. Badler United States
Sérgio Escalera Spain
Xiangmin Xu China
Zhigeng Pan China
Wojciech Matusik United States
Takeo Igarashi Japan
Sanghoon Lee South Korea
Ruth Rosenholtz United States
Yong‐Jin Liu relative to Hui Yu China Hui Yu's profile →
Citations per field
00.5×7.4×
Hui Yu · 1×
Citations per year

Countries citing papers authored by Yong‐Jin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yong‐Jin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yong‐Jin Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yong‐Jin Liu. A scholar is included among the top collaborators of Yong‐Jin 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 Yong‐Jin Liu. Yong‐Jin 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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Audio-driven Talking Face Video Generation with Natural Head Pose
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The Duality of Geodesic Voronoi/Delaunay Diagrams For An Intrinsic Discrete Laplace-Beltrami Operator on Simplicial Surfaces.
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About Yong‐Jin Liu

Yong‐Jin Liu is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 270 papers that have together received 7.4k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (62 papers), Computer Graphics and Visualization Techniques (46 papers) and Advanced Image and Video Retrieval Techniques (32 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (767 citations), Computer Vision and Pattern Recognition (3.2k citations) and Experimental and Cognitive Psychology (1.8k citations). Yong‐Jin Liu has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Xiaolan Fu, Sujing Wang, Yu‐Kun Lai, Wen‐Jing Yan, Guoying Zhao, Ying He, Guozhen Zhao, Minjing Yu, Charlie C. L. Wang and Chenming Wu. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Science of The Total Environment.

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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