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Researcher · Wuhan University · China

Wei He

Wei He publishes mostly in Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, on topics such as Advanced Image Fusion Techniques, Remote-Sensing Image Classification and Image and Signal Denoising Methods.

ORCID 0000-0003-3410-0643 OpenAlex
World rank
#317,398
of 7,710,434 ranked researchers
Rank in China
#35,468
of 978,568
Works
404
Citations
8.4k
Citations per work
20.7
h-index
47
i10-index 107Top 1.4% in Computer Vision and Pattern Recognition
Wei He

What does Wei He research?

Wei He's work is mostly in Computer Science (23%), Engineering (16%), Environmental Science (4%).

Everything else: 215 works · 53.1% of their workPhysical Sciences: 189 works · 46.9% of their workComputer Science: 93 works · 23.0% of their workComputer Vision and Pattern Recognition: 68 works · 16.9% of their workArtificial Intelligence: 25 works · 6.1% of their workEngineering: 66 works · 16.4% of their workMedia Technology: 52 works · 12.8% of their workComputational Mechanics: 15 works · 3.6% of their workEnvironmental Science: 16 works · 4.0% of their workGlobal and Planetary Change: 16 works · 4.0% of their workEarth and Planetary Sciences: 14 works · 3.5% of their workAtmospheric Science: 14 works · 3.5% of their workTHEIR WORKWei He404works
Physical Sciences47%

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 else21553.1%
    1. Computer Science9323.0%
    2. Engineering6616.4%
    3. Environmental Science164.0%
    4. Earth and Planetary Sciences143.5%
  1. 1Computer Vision and Pattern Recognition17% of their works
  2. 2Media Technology13% of their works
  3. 3Artificial Intelligence6% of their works
  4. 4Global and Planetary Change4% of their works
  5. 5Computational Mechanics4% of their works
  6. 6Atmospheric Science4% of their works

Research topics

Which keywords describe Wei He's research?

The keywords of their largest research topics: Remote Sensing, Deep Learning, Hyperspectral, Wavelet Transform, Sparse Representation, Hyperspectral Imaging, Image Fusion and Multispectral.

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 23 words, with their numbers
  1. Remote Sensing1814 topics
  2. Deep Learning1323 topics
  3. Hyperspectral1232 topics
  4. Wavelet Transform1212 topics
  5. Sparse Representation942 topics
  6. Hyperspectral Imaging902 topics
  7. Image Fusion631 topic
  8. Multispectral631 topic
  9. Classification601 topic
  10. Image Analysis601 topic
  11. Image Denoising581 topic
  12. Sparse Representations581 topic
  13. Biomass Estimation402 topics
  14. Earthquake Damage321 topic
  15. Geohazards321 topic
  16. Compressed Sensing311 topic
  17. Signal Recovery311 topic
  18. Phenology261 topic
  19. Vegetation Monitoring261 topic
  20. Feature Matching141 topic
  21. Forest Carbon Stocks141 topic
  22. Lidar Remote Sensing141 topic
  23. Local Descriptors141 topic

Where does Wei He work?

Wei He's main affiliation in the publication record is Wuhan University, China.

How many publications and citations does Wei He have?

OpenAlex counts 404 works and 8,378 citations for Wei He, an h-index of 47, ranking #317,398 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 Wei He

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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