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Researcher · Cornell University · United States

Yingheng Wang

Yingheng Wang publishes mostly in Plant Science, Molecular Biology and Artificial Intelligence, on topics such as Rice Cultivation and Yield Improvement, Computational Drug Discovery Methods and Machine Learning in Materials Science.

ORCID 0000-0002-4828-4757 OpenAlex
World rank
#2,265,429
of 7,710,434 ranked researchers
Rank in United States
#677,226
of 1,627,098
Works
66
Citations
973
Citations per work
14.7
h-index
10
i10-index 10Top 50% in Plant Science
Yingheng Wang

What does Yingheng Wang research?

Yingheng Wang's work is mostly in Agricultural and Biological Sciences (18%), Computer Science (18%), Biochemistry, Genetics and Molecular Biology (14%).

Everything else: 26 works · 39.4% of their workLife Sciences: 25 works · 37.7% of their workAgricultural and Biological Sciences: 12 works · 18.0% of their workPlant Science: 12 works · 18.0% of their workBiochemistry, Genetics and Molecular Biology: 9 works · 13.7% of their workMolecular Biology: 9 works · 13.7% of their workNeuroscience: 4 works · 6.0% of their workCognitive Neuroscience: 4 works · 6.0% of their workPhysical Sciences: 15 works · 22.9% of their workComputer Science: 12 works · 18.0% of their workArtificial Intelligence: 8 works · 12.0% of their workComputer Vision and Pattern Recognition: 4 works · 6.0% of their workMaterials Science: 3 works · 4.9% of their workMaterials Chemistry: 3 works · 4.9% of their workTHEIR WORKYingheng Wang66works
Life Sciences38%Physical Sciences23%

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 else2639.4%
    1. Agricultural and Biological Sciences1218.0%
    2. Biochemistry, Genetics and Molecular Biology913.7%
    3. Neuroscience46.0%
    1. Computer Science1218.0%
    2. Materials Science34.9%
  1. 1Plant Science18% of their works
  2. 2Molecular Biology14% of their works
  3. 3Artificial Intelligence12% of their works
  4. 4Computer Vision and Pattern Recognition6% of their works
  5. 5Cognitive Neuroscience6% of their works
  6. 6Materials Chemistry5% of their works

Research topics

Which keywords describe Yingheng Wang's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Representation Learning, Neural Networks, High-Throughput, Materials Informatics, Molecular Docking and Rice.

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.

All 20 words, with their numbers
  1. Machine Learning162 topics
  2. Deep Learning112 topics
  3. Representation Learning112 topics
  4. Neural Networks102 topics
  5. High-Throughput81 topic
  6. Materials Informatics81 topic
  7. Molecular Docking81 topic
  8. Rice81 topic
  9. Virtual Screening81 topic
  10. Water Management81 topic
  11. Gamma-Aminobutyric Acid71 topic
  12. Metabolism71 topic
  13. Graph Neural Networks61 topic
  14. Knowledge Graph Embedding61 topic
  15. Domain Adaptation51 topic
  16. Image Captioning51 topic
  17. Machine Translation51 topic
  18. Transfer Learning51 topic
  19. Visual Question Answering51 topic
  20. Word Representation51 topic

Where does Yingheng Wang work?

Yingheng Wang's main affiliation in the publication record is Cornell University, United States.

How many publications and citations does Yingheng Wang have?

OpenAlex counts 66 works and 973 citations for Yingheng Wang, an h-index of 10, ranking #2,265,429 of 7,710,434 researchers worldwide on the quality 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 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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