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Researcher · Xinjiang Agricultural University · China

Penghao Wu

Penghao Wu publishes mostly in Computer Vision and Pattern Recognition, Plant Science and Genetics, on topics such as Genetic Mapping and Diversity in Plants and Animals, Advanced Neural Network Applications and Multimodal Machine Learning Applications.

ORCID 0000-0001-6478-1166 OpenAlex
World rank
#323,478
of 7,710,434 ranked researchers
Rank in China
#36,301
of 978,568
Works
62
Citations
2.1k
Citations per work
33.3
h-index
20
i10-index 24Top 13% in Computer Vision and Pattern Recognition
Penghao Wu

What does Penghao Wu research?

Penghao Wu's work is mostly in Computer Science (34%), Agricultural and Biological Sciences (16%), Biochemistry, Genetics and Molecular Biology (16%).

Physical Sciences: 27 works · 43.4% of their workComputer Science: 21 works · 34.3% of their workComputer Vision and Pattern Recognition: 15 works · 23.4% of their workArtificial Intelligence: 7 works · 10.9% of their workEngineering: 6 works · 9.1% of their workAutomotive Engineering: 6 works · 9.1% of their workLife Sciences: 20 works · 32.0% of their workAgricultural and Biological Sciences: 10 works · 16.0% of their workPlant Science: 10 works · 16.0% of their workBiochemistry, Genetics and Molecular Biology: 10 works · 16.0% of their workGenetics: 7 works · 10.9% of their workMolecular Biology: 3 works · 5.1% of their workEverything else: 15 works · 24.6% of their workTHEIR WORKPenghao Wu62works
Life Sciences32%Physical Sciences43%

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 Science2134.3%
    2. Engineering69.1%
    1. Agricultural and Biological Sciences1016.0%
    2. Biochemistry, Genetics and Molecular Biology1016.0%
  3. Everything else1524.6%
  1. 1Computer Vision and Pattern Recognition23% of their works
  2. 2Plant Science16% of their works
  3. 3Genetics11% of their works
  4. 4Artificial Intelligence11% of their works
  5. 5Automotive Engineering9% of their works
  6. 6Molecular Biology5% of their works

Research topics

Which keywords describe Penghao Wu's research?

The keywords of their largest research topics: Deep Learning, Crop Improvement, QTL Mapping, Genome-wide Association Studies, Quantitative Trait Loci, Autonomous Vehicles, Convolutional Neural Networks and Image Captioning.

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 Learning333 topics
  2. Crop Improvement242 topics
  3. QTL Mapping242 topics
  4. Genome-wide Association Studies161 topic
  5. Quantitative Trait Loci161 topic
  6. Autonomous Vehicles111 topic
  7. Convolutional Neural Networks111 topic
  8. Image Captioning111 topic
  9. Image Recognition111 topic
  10. Trajectory Prediction111 topic
  11. Visual Question Answering111 topic
  12. Unsupervised Learning102 topics
  13. Genetics81 topic
  14. Wheat81 topic
  15. Cultivar Evaluation51 topic
  16. Depth Estimation51 topic
  17. Domain Adaptation51 topic
  18. Genotype-by-Environment Interaction51 topic
  19. Stereo Vision51 topic
  20. Transfer Learning51 topic

Where does Penghao Wu work?

Penghao Wu's main affiliation in the publication record is Xinjiang Agricultural University, China.

How many publications and citations does Penghao Wu have?

OpenAlex counts 62 works and 2,065 citations for Penghao Wu, an h-index of 20, ranking #323,478 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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