Liquan Shen

5.6k citations
206 papers · 4.2k indexed · 2 hit papers · h-index 33
Topics
Advanced Vision and Imaging (94 papers)Video Coding and Compression Technologies (93 papers)Image and Video Quality Assessment (73 papers)

In The Last Decade

Liquan Shen

194 papers receiving 4.1k citations

Hit Papers

An Effective CU Size Decision Method for HEVC Encoders201220262016202120122023100200300

Peers

Liquan Shen
Comparison fields: 5 of 86
  • Computer Vision and Pattern Recognition 4.0k
  • Signal Processing 2.1k
  • Media Technology 570
  • Sensory Systems 211
  • Atomic and Molecular Physics, and Optics 123
Replace Hongliang Li with:
Hongliang Li China
Gangyi Jiang China
Deepu Rajan Singapore
Nam Ling United States
Yo‐Sung Ho South Korea
Hans‐Jürgen Zepernick Sweden
Munchurl Kim South Korea
Tyng-Luh Liu Taiwan
Jizheng Xu China
Nishan Canagarajah United Kingdom
Liquan Shen relative to Hongliang Li China Hongliang Li's profile →
Citations per field
00.5×2.9×
Hongliang Li · 1×
Citations per year

Countries citing papers authored by Liquan Shen

Since Specialization
Citations

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

Fields of papers citing papers by Liquan Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liquan Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Liquan Shen. A scholar is included among the top collaborators of Liquan Shen 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 Liquan Shen. Liquan Shen 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
1 0
2 8
3 1
4 2
5 0
6 9
7 1
8 10
9 1
10 4
11 10
12 9
13 10
14 36
15 23
16 204
17 8
18 49
19 1
20 10

About Liquan Shen

Liquan Shen is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 206 papers that have together received 4.2k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (94 papers), Video Coding and Compression Technologies (93 papers) and Image and Video Quality Assessment (73 papers). The work is most often cited by research in Signal Processing (2.1k citations), Computer Vision and Pattern Recognition (4.0k citations) and Media Technology (570 citations). Liquan Shen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhi Liu, Zhaoyang Zhang, Ping An, Xinpeng Zhang, Hao Yang, Zhengyong Wang, Wenqiang Zhao, Guorui Feng, Yufei Lin and Chao Yang. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Geoscience and Remote Sensing.

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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