Liming Chen

15 papers receiving 689 citations

Hit Papers

Local Binary Patterns and Its Application to Facial Image...20112026201620212011200400600

Peers

Liming Chen
Comparison fields: 5 of 98
  • Computer Vision and Pattern Recognition 616
  • Experimental and Cognitive Psychology 141
  • Signal Processing 125
  • Media Technology 74
  • Artificial Intelligence 71
Replace Mohsen Ardabilian with:
Mohsen Ardabilian France
Alaa Eleyan Türkiye
Seyed Mehdi Lajevardi Australia
Fanlong Zhang China
Yanan Guo China
Vassilios Vonikakis Singapore
Moghaddam Iran
Venice Erin Liong Singapore
Linlin Shen China
Filareti Tsalakanidou Greece
Liming Chen relative to Mohsen Ardabilian France Mohsen Ardabilian's profile →
Citations per field
00.5×1.5×
Mohsen Ardabilian · 1×
Citations per year

Countries citing papers authored by Liming Chen

Since Specialization
Citations

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

Fields of papers citing papers by Liming Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liming Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Liming Chen. A scholar is included among the top collaborators of Liming Chen 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 Liming Chen. Liming Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 1
2 0
3 1
4 1
5 7
6 3
7 2
8 65
9
Reversible data hiding base on VQ and halftoning technique
2
10 2
11 1
12
Local Binary Patterns and Its Application to Facial Image Analysis: A Surveybreakdown →
629
13 1
14 5
15 1
16 21
17 8

About Liming Chen

Liming Chen is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Safety, Risk, Reliability and Quality, having authored 17 papers that have together received 750 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (4 papers), Image Retrieval and Classification Techniques (4 papers) and Video Analysis and Summarization (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (616 citations), Signal Processing (125 citations) and Experimental and Cognitive Psychology (141 citations). Liming Chen has collaborated with scholars based in Taiwan, China and France. Frequent co-authors include Yunhong Wang, Caifeng Shan, Mohsen Ardabilian, Di Huang, Xudong Yang, Yunhong Wang, Di Huang, Hsueh‐Ming Hang, Youssef Chahir and Xiaowei Tu. Their work appears in journals such as IEEE Transactions on Image Processing, Journal of Visual Communication and Image Representation and EURASIP Journal on Image and Video Processing.

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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