Liming Chen

5.4k citations
91 papers · 2.7k indexed · h-index 29

Liming Chen

88 papers receiving 2.7k citations

Peers

Liming Chen
Comparison fields: 5 of 148
  • Computer Vision and Pattern Recognition 1.6k
  • Signal Processing 519
  • Experimental and Cognitive Psychology 589
  • Computational Mathematics 22
  • Human-Computer Interaction 184
Replace Yun Fu with:
Yun Fu United States
Xin Liu China
Jingying Chen China
Gholamreza Anbarjafari Estonia
Ming Shao United States
Minho Lee South Korea
Soo-Hyung Kim South Korea
Nikos Nikolaidis Greece
Ying Shen China
Zhentao Liu China
Liming Chen relative to Yun Fu United States Yun Fu's profile →
Citations per field
00.5×4.2×
Yun Fu · 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

The 25 scholars most cited alongside Liming Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Liming Chen Line = papers co-authored together Liming Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20241
4 20232
5 202233
6 202014
7 20208
8 201925
9 201834
10 201750
11 201749
12 20178
13 201768
14 201716
15 2015195
16 201245
17 201225
18
Increasing the distinctiveness of hand vein images by Oriented Gradient Maps.
20113
19 201148
20 20051

About Liming Chen

Liming Chen is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Experimental and Cognitive Psychology, Human-Computer Interaction and Computer Graphics and Computer-Aided Design, having authored 91 papers that have together received 2.7k indexed citations. Recurring topics across this work include Face and Expression Recognition (35 papers), Face recognition and analysis (32 papers), Emotion and Mood Recognition (18 papers), Biometric Identification and Security (12 papers), Domain Adaptation and Few-Shot Learning (9 papers), Advanced Image and Video Retrieval Techniques (9 papers), Generative Adversarial Networks and Image Synthesis (8 papers) and Advanced Vision and Imaging (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Signal Processing (519 citations), Experimental and Cognitive Psychology (589 citations), Computational Mathematics (22 citations) and Human-Computer Interaction (184 citations). Liming Chen has collaborated with scholars based in France, China and United States. Frequent co-authors include Emmanuel Dellandréa, Di Huang, Huibin Li, Yunhong Wang, Jean‐Marie Morvan, Amaury Depierre, Yunhong Wang, Yoann Baveye, Christel Chamaret and Xi Zhao. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing, IEEE Transactions on Affective Computing, IEEE Transactions on Cybernetics and Journal of Mathematical Imaging and Vision.

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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