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Researcher · Shanghai Artificial Intelligence Laboratory · ??

Haote Yang

Haote Yang publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Materials Chemistry, on topics such as Machine Learning in Materials Science, Computational Drug Discovery Methods and Natural Language Processing Techniques.

OpenAlex
World rank
#2,801,981
of 7,710,434 ranked researchers
Rank in ??
#4,626
of 21,892
Works
20
Citations
57
Citations per work
2.9
h-index
3
i10-index 3Top 97% in Computer Vision and Pattern Recognition
Haote Yang

What does Haote Yang research?

Haote Yang's work is mostly in Computer Science (51%), Materials Science (12%), Engineering (6%).

Physical Sciences: 15 works · 73.4% of their workComputer Science: 10 works · 51.0% of their workComputer Vision and Pattern Recognition: 4 works · 22.4% of their workArtificial Intelligence: 4 works · 18.4% of their workComputational Theory and Mathematics: 2 works · 10.2% of their workMaterials Science: 2 works · 12.2% of their workMaterials Chemistry: 2 works · 12.2% of their workEngineering: 1 works · 6.1% of their workOcean Engineering: 1 works · 6.1% of their workEarth and Planetary Sciences: 1 works · 4.1% of their workGeology: 1 works · 4.1% of their workEverything else: 5 works · 26.6% of their workTHEIR WORKHaote Yang20works
Physical Sciences73%

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 Science1051.0%
    2. Materials Science212.2%
    3. Engineering16.1%
    4. Earth and Planetary Sciences14.1%
  2. Everything else526.6%
  1. 1Computer Vision and Pattern Recognition22% of their works
  2. 2Artificial Intelligence18% of their works
  3. 3Materials Chemistry12% of their works
  4. 4Computational Theory and Mathematics10% of their works
  5. 5Ocean Engineering6% of their works
  6. 6Geology4% of their works

Research topics

Which keywords describe Haote Yang's research?

The keywords of their largest research topics: Machine Learning, High-Throughput, Materials Informatics, Deep Learning, Molecular Docking, Virtual Screening, Geometric Processing and Graph Neural Networks.

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 18 words, with their numbers
  1. Machine Learning112 topics
  2. High-Throughput61 topic
  3. Materials Informatics61 topic
  4. Deep Learning52 topics
  5. Molecular Docking51 topic
  6. Virtual Screening51 topic
  7. Geometric Processing31 topic
  8. Graph Neural Networks31 topic
  9. Knowledge Graph Embedding31 topic
  10. Neural Machine Translation31 topic
  11. Neural Networks31 topic
  12. Remote Sensing31 topic
  13. Statistical Machine Translation31 topic
  14. Word Representation31 topic
  15. Biomedical Ontologies21 topic
  16. Feature Matching21 topic
  17. Local Descriptors21 topic
  18. Text Mining21 topic

Where does Haote Yang work?

Haote Yang's main affiliation in the publication record is Shanghai Artificial Intelligence Laboratory, ??.

How many publications and citations does Haote Yang have?

OpenAlex counts 20 works and 57 citations for Haote Yang, an h-index of 3, ranking #2,801,981 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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