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Researcher · Tencent (China) · China

Yu Rong

Yu Rong publishes mostly in Artificial Intelligence, Materials Chemistry and Molecular Biology, on topics such as Advanced Graph Neural Networks, Complex Network Analysis Techniques and Machine Learning in Materials Science.

ORCID 0000-0001-7387-302X OpenAlex
World rank
#106,442
of 7,710,434 ranked researchers
Rank in China
#9,319
of 978,568
Works
242
Citations
9.1k
Citations per work
37.7
h-index
44
i10-index 103Top 1.5% in Artificial Intelligence
Yu Rong

What does Yu Rong research?

Yu Rong's work is mostly in Computer Science (41%), Materials Science (10%), Biochemistry, Genetics and Molecular Biology (8%).

Physical Sciences: 135 works · 55.6% of their workComputer Science: 98 works · 40.7% of their workArtificial Intelligence: 69 works · 28.4% of their workComputer Vision and Pattern Recognition: 20 works · 8.3% of their workComputational Theory and Mathematics: 10 works · 4.0% of their workMaterials Science: 23 works · 9.6% of their workMaterials Chemistry: 23 works · 9.6% of their workPhysics and Astronomy: 13 works · 5.3% of their workStatistical and Nonlinear Physics: 13 works · 5.3% of their workEverything else: 87 works · 36.0% of their workLife Sciences: 20 works · 8.4% of their workBiochemistry, Genetics and Molecular Biology: 20 works · 8.4% of their workMolecular Biology: 20 works · 8.4% of their workTHEIR WORKYu Rong242works
Life Sciences8%Physical Sciences56%

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 Science9840.7%
    2. Materials Science239.6%
    3. Physics and Astronomy135.3%
  2. Everything else8736.0%
    1. Biochemistry, Genetics and Molecular Biology208.4%
  1. 1Artificial Intelligence28% of their works
  2. 2Materials Chemistry10% of their works
  3. 3Molecular Biology8% of their works
  4. 4Computer Vision and Pattern Recognition8% of their works
  5. 5Statistical and Nonlinear Physics5% of their works
  6. 6Computational Theory and Mathematics4% of their works

Research topics

Which keywords describe Yu Rong's research?

The keywords of their largest research topics: Deep Learning, Graph Neural Networks, Knowledge Graph Embedding, Machine Learning, Molecular Dynamics, Neural Networks, Community Structure and Network Dynamics.

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 20 words, with their numbers
  1. Deep Learning872 topics
  2. Graph Neural Networks721 topic
  3. Knowledge Graph Embedding721 topic
  4. Machine Learning492 topics
  5. Molecular Dynamics412 topics
  6. Neural Networks352 topics
  7. Community Structure331 topic
  8. Network Dynamics331 topic
  9. High-Throughput281 topic
  10. Materials Informatics281 topic
  11. Molecular Docking211 topic
  12. Virtual Screening211 topic
  13. Machine Translation201 topic
  14. Word Representation201 topic
  15. Graph Matching191 topic
  16. Graph Processing191 topic
  17. Collaborative Filtering151 topic
  18. Matrix Factorization151 topic
  19. Protein131 topic
  20. Structure131 topic

Where does Yu Rong work?

Yu Rong's main affiliation in the publication record is Tencent (China), China.

How many publications and citations does Yu Rong have?

OpenAlex counts 242 works and 9,121 citations for Yu Rong, an h-index of 44, ranking #106,442 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 Yu Rong

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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