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Researcher · Lanzhou University · China

Keyang Wang

Keyang Wang publishes mostly in Artificial Intelligence, Molecular Biology and Materials Chemistry, on topics such as Heat shock proteins research, Connexins and lens biology and Natural Language Processing Techniques.

World rank
#304,863
of 1,633,909 ranked researchers
Rank in China
#16,456
of 187,979
Works
15
Citations
202
Citations per work
13.5

What does Keyang Wang research?

Artificial Intelligence: 57.1%Molecular Biology: 28.6%Materials Chemistry: 14.3%57%top field
Artificial Intelligence57.1%Molecular Biology28.6%Materials Chemistry14.3%

Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.

  1. 1Artificial Intelligence57% of their works
  2. 2Molecular Biology29% of their works
  3. 3Materials Chemistry14% of their works

Research topics

Which keywords describe Keyang Wang's research?

The keywords of their largest research topics: Neural Networks, Affective States, Automatic, Connexins, Extraction, Gap Junctions, Intelligent Tutoring Systems and Machine Translation.

Size is their works in the topics tagged with each word, from their 7 largest topics. Each links to the topic it comes from most.

All 15 words, with their numbers
  1. Neural Networks22 topics
  2. Affective States11 topic
  3. Automatic11 topic
  4. Connexins11 topic
  5. Extraction11 topic
  6. Gap Junctions11 topic
  7. Intelligent Tutoring Systems11 topic
  8. Machine Translation11 topic
  9. Macromolecular Crystallography11 topic
  10. Molecular Chaperones11 topic
  11. Neural Machine Translation11 topic
  12. Protein Folding11 topic
  13. Statistical Machine Translation11 topic
  14. Structure Solution11 topic
  15. Word Representation11 topic

Where does Keyang Wang work?

Keyang Wang's main affiliation in the publication record is Lanzhou University, China.

How many publications and citations does Keyang Wang have?

Science Explorer counts 15 works and 202 citations for Keyang Wang, ranking #304,863 of 1,633,909 researchers worldwide on the composite score.

Ranked on field-normalised 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 are in the interactive view on the map. Is this your page? Request a correction or removal.