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Researcher · Huawei Technologies (China) · China

Longhui Wei

Longhui Wei publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering, on topics such as Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications and Advanced Neural Network Applications.

ORCID 0000-0001-6916-3009 OpenAlex
World rank
#612,132
of 7,710,434 ranked researchers
Rank in China
#78,562
of 978,568
Works
81
Citations
4k
Citations per work
49.0
h-index
22
i10-index 34Top 11% in Computer Vision and Pattern Recognition
Longhui Wei

What does Longhui Wei research?

Longhui Wei's work is mostly in Computer Science (81%), Engineering (4%), Chemistry (2%).

Physical Sciences: 70 works · 86.0% of their workComputer Science: 65 works · 80.8% of their workComputer Vision and Pattern Recognition: 46 works · 56.5% of their workArtificial Intelligence: 20 works · 24.3% of their workEngineering: 3 works · 3.5% of their workBiomedical Engineering: 3 works · 3.5% of their workChemistry: 1 works · 1.7% of their workOrganic Chemistry: 1 works · 1.7% of their workEverything else: 9 works · 11.0% of their workHealth Sciences: 1 works · 1.7% of their workMedicine: 1 works · 1.7% of their workRadiology, Nuclear Medicine and Imaging: 1 works · 1.7% of their workSocial Sciences: 1 works · 1.3% of their workPsychology: 1 works · 1.3% of their workExperimental and Cognitive Psychology: 1 works · 1.3% of their workTHEIR WORKLonghui Wei81works
Physical Sciences86%Health Sciences2%Social Sciences1%

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 Science6580.8%
    2. Engineering33.5%
    3. Chemistry11.7%
  2. Everything else911.0%
    1. Medicine11.7%
    1. Psychology11.3%
  1. 1Computer Vision and Pattern Recognition56% of their works
  2. 2Artificial Intelligence24% of their works
  3. 3Biomedical Engineering4% of their works
  4. 4Radiology, Nuclear Medicine and Imaging2% of their works
  5. 5Organic Chemistry2% of their works
  6. 6Experimental and Cognitive Psychology1% of their works

Research topics

Which keywords describe Longhui Wei's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Representation Learning, Unsupervised Learning, Neural Networks, Domain Adaptation, Transfer Learning 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 21 words, with their numbers
  1. Deep Learning1076 topics
  2. Convolutional Neural Networks432 topics
  3. Representation Learning382 topics
  4. Unsupervised Learning382 topics
  5. Neural Networks362 topics
  6. Domain Adaptation291 topic
  7. Transfer Learning291 topic
  8. Image Captioning271 topic
  9. Visual Question Answering271 topic
  10. Image Recognition231 topic
  11. Object Detection231 topic
  12. Object Tracking201 topic
  13. Visual Tracking201 topic
  14. Action Recognition181 topic
  15. Pose Estimation181 topic
  16. Feature Matching101 topic
  17. Local Descriptors101 topic
  18. Generative Adversarial Networks91 topic
  19. Image Synthesis91 topic
  20. Neural Machine Translation61 topic
  21. Statistical Machine Translation61 topic

Where does Longhui Wei work?

Longhui Wei's main affiliation in the publication record is Huawei Technologies (China), China.

How many publications and citations does Longhui Wei have?

OpenAlex counts 81 works and 3,973 citations for Longhui Wei, an h-index of 22, ranking #612,132 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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