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Researcher · Tencent (China) · China

Liang Chen

Liang Chen publishes mostly in Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering, on topics such as Recommender Systems and Techniques, Caching and Content Delivery and Complex Network Analysis Techniques.

ORCID 0000-0002-3149-0239 OpenAlex
World rank
#880,313
of 7,710,434 ranked researchers
Rank in China
#121,035
of 978,568
Works
109
Citations
1.5k
Citations per work
13.8
h-index
21
i10-index 31Top 12% in Artificial Intelligence
Liang Chen

What does Liang Chen research?

Liang Chen's work is mostly in Computer Science (38%), Engineering (7%), Biochemistry, Genetics and Molecular Biology (5%).

Everything else: 55 works · 50.6% of their workPhysical Sciences: 48 works · 44.4% of their workComputer Science: 41 works · 37.8% of their workArtificial Intelligence: 16 works · 14.6% of their workComputer Networks and Communications: 13 works · 12.3% of their workInformation Systems: 6 works · 5.6% of their workComputer Vision and Pattern Recognition: 6 works · 5.3% of their workEngineering: 7 works · 6.6% of their workElectrical and Electronic Engineering: 7 works · 6.6% of their workLife Sciences: 5 works · 5.0% of their workBiochemistry, Genetics and Molecular Biology: 5 works · 5.0% of their workMolecular Biology: 5 works · 5.0% of their workTHEIR WORKLiang Chen109works
Life Sciences5%Physical Sciences44%

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. Everything else5550.6%
    1. Computer Science4137.8%
    2. Engineering76.6%
    1. Biochemistry, Genetics and Molecular Biology55.0%
  1. 1Artificial Intelligence15% of their works
  2. 2Computer Networks and Communications12% of their works
  3. 3Electrical and Electronic Engineering7% of their works
  4. 4Information Systems6% of their works
  5. 5Computer Vision and Pattern Recognition5% of their works
  6. 6Molecular Biology5% of their works

Research topics

Which keywords describe Liang Chen's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Content Delivery, Collaborative Filtering, Matrix Factorization, Caching, Information-Centric Networking and Community Structure.

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 19 words, with their numbers
  1. Deep Learning172 topics
  2. Neural Networks172 topics
  3. Content Delivery142 topics
  4. Collaborative Filtering111 topic
  5. Matrix Factorization111 topic
  6. Caching91 topic
  7. Information-Centric Networking91 topic
  8. Community Structure71 topic
  9. Network Dynamics71 topic
  10. Graph Neural Networks61 topic
  11. Knowledge Graph Embedding61 topic
  12. Machine Translation61 topic
  13. Word Representation61 topic
  14. Arginine Methylation51 topic
  15. GPS Data51 topic
  16. Human Mobility51 topic
  17. Peer-to-Peer51 topic
  18. Protein Arginine Methyltransferases51 topic
  19. Scalable51 topic

Where does Liang Chen work?

Liang Chen's main affiliation in the publication record is Tencent (China), China.

How many publications and citations does Liang Chen have?

OpenAlex counts 109 works and 1,503 citations for Liang Chen, an h-index of 21, ranking #880,313 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 Liang 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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