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Researcher · Tencent (China) · China

Tingyang Xu

Tingyang Xu publishes mostly in Artificial Intelligence, Molecular Biology and Materials Chemistry, on topics such as Advanced Graph Neural Networks, Machine Learning in Materials Science and Computational Drug Discovery Methods.

ORCID 0000-0002-8487-9045 OpenAlex
World rank
#64,342
of 7,710,434 ranked researchers
Rank in China
#5,012
of 978,568
Works
135
Citations
6.2k
Citations per work
46.2
h-index
38
i10-index 64Top 2.5% in Artificial Intelligence
Tingyang Xu

What does Tingyang Xu research?

Tingyang Xu's work is mostly in Computer Science (45%), Biochemistry, Genetics and Molecular Biology (12%), Materials Science (9%).

Physical Sciences: 79 works · 58.3% of their workComputer Science: 61 works · 45.3% of their workArtificial Intelligence: 42 works · 31.0% of their workComputational Theory and Mathematics: 11 works · 8.5% of their workComputer Vision and Pattern Recognition: 8 works · 5.8% of their workMaterials Science: 11 works · 8.5% of their workMaterials Chemistry: 11 works · 8.5% of their workPhysics and Astronomy: 6 works · 4.5% of their workStatistical and Nonlinear Physics: 6 works · 4.5% of their workEverything else: 40 works · 29.5% of their workLife Sciences: 16 works · 12.2% of their workBiochemistry, Genetics and Molecular Biology: 16 works · 12.2% of their workMolecular Biology: 16 works · 12.2% of their workTHEIR WORKTingyang Xu135works
Life Sciences12%Physical Sciences58%

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 Science6145.3%
    2. Materials Science118.5%
    3. Physics and Astronomy64.5%
  2. Everything else4029.5%
    1. Biochemistry, Genetics and Molecular Biology1612.2%
  1. 1Artificial Intelligence31% of their works
  2. 2Molecular Biology12% of their works
  3. 3Materials Chemistry8% of their works
  4. 4Computational Theory and Mathematics8% of their works
  5. 5Computer Vision and Pattern Recognition6% of their works
  6. 6Statistical and Nonlinear Physics4% of their works

Research topics

Which keywords describe Tingyang Xu's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Molecular Dynamics, Graph Neural Networks, Knowledge Graph Embedding, High-Throughput, Materials Informatics and Molecular Docking.

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. Machine Learning733 topics
  2. Deep Learning643 topics
  3. Molecular Dynamics502 topics
  4. Graph Neural Networks451 topic
  5. Knowledge Graph Embedding451 topic
  6. High-Throughput321 topic
  7. Materials Informatics321 topic
  8. Molecular Docking301 topic
  9. Virtual Screening301 topic
  10. Neural Networks192 topics
  11. Protein181 topic
  12. Structure181 topic
  13. Community Structure141 topic
  14. Network Dynamics141 topic
  15. Brain Tumor111 topic
  16. MRI111 topic
  17. Machine Translation111 topic
  18. Word Representation111 topic
  19. Collaborative Filtering81 topic
  20. Matrix Factorization81 topic

Where does Tingyang Xu work?

Tingyang Xu's main affiliation in the publication record is Tencent (China), China.

How many publications and citations does Tingyang Xu have?

OpenAlex counts 135 works and 6,235 citations for Tingyang Xu, an h-index of 38, ranking #64,342 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.

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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