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Researcher · École Centrale de Lyon · France

Liming Chen

Liming Chen publishes mostly in Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, on topics such as Face recognition and analysis, Face and Expression Recognition and Biometric Identification and Security.

ORCID 0000-0002-3654-9498 OpenAlex
World rank
#465,221
of 7,710,434 ranked researchers
Rank in France
#24,668
of 324,115
Works
259
Citations
5.6k
Citations per work
21.5
h-index
38
i10-index 109Top 2.7% in Computer Vision and Pattern Recognition
Liming Chen

What does Liming Chen research?

Liming Chen's work is mostly in Computer Science (70%), Engineering (5%), Psychology (5%).

Physical Sciences: 193 works · 74.4% of their workComputer Science: 181 works · 69.7% of their workComputer Vision and Pattern Recognition: 130 works · 50.2% of their workSignal Processing: 26 works · 10.0% of their workArtificial Intelligence: 25 works · 9.5% of their workEngineering: 12 works · 4.7% of their workControl and Systems Engineering: 8 works · 3.2% of their workComputational Mechanics: 4 works · 1.5% of their workEverything else: 54 works · 20.9% of their workSocial Sciences: 12 works · 4.7% of their workPsychology: 12 works · 4.7% of their workExperimental and Cognitive Psychology: 12 works · 4.7% of their workTHEIR WORKLiming Chen259works
Physical Sciences74%Social Sciences5%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science18169.7%
    2. Engineering124.7%
  2. Everything else5420.9%
    1. Psychology124.7%
  1. 1Computer Vision and Pattern Recognition50% of their works
  2. 2Signal Processing10% of their works
  3. 3Artificial Intelligence10% of their works
  4. 4Experimental and Cognitive Psychology5% of their works
  5. 5Control and Systems Engineering3% of their works
  6. 6Computational Mechanics2% of their works

Research topics

Which keywords describe Liming Chen's research?

The keywords of their largest research topics: Face Recognition, Deep Learning, Local Binary Patterns, Age Estimation, Facial Landmark Detection, Dimensionality Reduction, Feature Selection and Feature Extraction.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 22 words, with their numbers
  1. Face Recognition1952 topics
  2. Deep Learning1854 topics
  3. Local Binary Patterns1132 topics
  4. Age Estimation1031 topic
  5. Facial Landmark Detection1031 topic
  6. Dimensionality Reduction921 topic
  7. Feature Selection921 topic
  8. Feature Extraction692 topics
  9. Representation Learning422 topics
  10. Unsupervised Learning422 topics
  11. Biometric Recognition351 topic
  12. Security351 topic
  13. Emotion Recognition341 topic
  14. Multimodal Data341 topic
  15. Feature Matching291 topic
  16. Local Descriptors291 topic
  17. Domain Adaptation231 topic
  18. Transfer Learning231 topic
  19. Content-Based Image Retrieval211 topic
  20. Shape Matching211 topic
  21. Generative Adversarial Networks191 topic
  22. Image Synthesis191 topic

Where does Liming Chen work?

Liming Chen's main affiliation in the publication record is École Centrale de Lyon, France.

How many publications and citations does Liming Chen have?

OpenAlex counts 259 works and 5,581 citations for Liming Chen, an h-index of 38, ranking #465,221 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Other researchers named Liming Chen

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

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