Science Explorer Back to mapMap
Discussion
Researcher · Baidu (China) · China

Jun Huan

Jun Huan publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology, on topics such as Domain Adaptation and Few-Shot Learning, Advanced Neural Network Applications and Machine Learning and ELM.

ORCID 0000-0002-7020-1604 OpenAlex
World rank
#1,761,336
of 7,710,434 ranked researchers
Rank in China
#267,672
of 978,568
Works
96
Citations
2.5k
Citations per work
25.7
h-index
21
i10-index 37Top 12% in Artificial Intelligence
Jun Huan

What does Jun Huan research?

Jun Huan's work is mostly in Computer Science (67%), Biochemistry, Genetics and Molecular Biology (9%), Engineering (4%).

Physical Sciences: 70 works · 72.8% of their workComputer Science: 64 works · 66.7% of their workArtificial Intelligence: 38 works · 39.9% of their workComputer Vision and Pattern Recognition: 22 works · 23.2% of their workSignal Processing: 3 works · 3.6% of their workEngineering: 3 works · 3.6% of their workComputational Mechanics: 3 works · 3.6% of their workPhysics and Astronomy: 2 works · 2.5% of their workStatistical and Nonlinear Physics: 2 works · 2.5% of their workEverything else: 17 works · 18.1% of their workLife Sciences: 9 works · 9.1% of their workBiochemistry, Genetics and Molecular Biology: 9 works · 9.1% of their workMolecular Biology: 9 works · 9.1% of their workTHEIR WORKJun Huan96works
Life Sciences9%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 Science6466.7%
    2. Engineering33.6%
    3. Physics and Astronomy22.5%
  2. Everything else1718.1%
    1. Biochemistry, Genetics and Molecular Biology99.1%
  1. 1Artificial Intelligence40% of their works
  2. 2Computer Vision and Pattern Recognition23% of their works
  3. 3Molecular Biology9% of their works
  4. 4Signal Processing4% of their works
  5. 5Computational Mechanics4% of their works
  6. 6Statistical and Nonlinear Physics2% of their works

Research topics

Which keywords describe Jun Huan's research?

The keywords of their largest research topics: Representation Learning, Unsupervised Learning, Meta-Learning, Domain Adaptation, Transfer Learning, Deep Learning, Neural Networks and Classification.

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 22 words, with their numbers
  1. Representation Learning372 topics
  2. Unsupervised Learning372 topics
  3. Meta-Learning362 topics
  4. Domain Adaptation271 topic
  5. Transfer Learning271 topic
  6. Deep Learning222 topics
  7. Neural Networks212 topics
  8. Classification202 topics
  9. Convolutional Neural Networks121 topic
  10. Image Recognition121 topic
  11. Extreme Learning Machine111 topic
  12. Feedforward Networks111 topic
  13. Generative Adversarial Networks101 topic
  14. Image Synthesis101 topic
  15. Compressed Sensing91 topic
  16. Graph Matching91 topic
  17. Graph Processing91 topic
  18. Hyperparameter Optimization91 topic
  19. Noisy Labels91 topic
  20. Sparse Representation91 topic
  21. Gene Set Enrichment Analysis81 topic
  22. Protein-Protein Interaction Networks81 topic

Where does Jun Huan work?

Jun Huan's main affiliation in the publication record is Baidu (China), China.

How many publications and citations does Jun Huan have?

OpenAlex counts 96 works and 2,464 citations for Jun Huan, an h-index of 21, ranking #1,761,336 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.

Other researchers named Jun Huan

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

Ask a question or share a note about Jun Huan. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.