Science Explorer Back to mapMap
Discussion
Researcher · PLA Information Engineering University · China

Kuiliang Gao

Kuiliang Gao publishes mostly in Media Technology, Atmospheric Science and Computer Vision and Pattern Recognition, on topics such as Remote-Sensing Image Classification, Remote Sensing and Land Use and Advanced Image Fusion Techniques.

ORCID 0000-0002-2145-199X OpenAlex
World rank
#1,090,216
of 7,710,434 ranked researchers
Rank in China
#155,509
of 978,568
Works
32
Citations
1.1k
Citations per work
33.6
h-index
16
i10-index 20Top 14% in Media Technology
Kuiliang Gao

What does Kuiliang Gao research?

Kuiliang Gao's work is mostly in Engineering (41%), Computer Science (26%), Earth and Planetary Sciences (22%).

Physical Sciences: 29 works · 91.3% of their workEngineering: 13 works · 41.3% of their workMedia Technology: 13 works · 41.3% of their workComputer Science: 8 works · 26.1% of their workComputer Vision and Pattern Recognition: 6 works · 19.6% of their workArtificial Intelligence: 2 works · 6.5% of their workEarth and Planetary Sciences: 7 works · 21.7% of their workAtmospheric Science: 7 works · 21.7% of their workEnvironmental Science: 1 works · 2.2% of their workEcology: 1 works · 2.2% of their workEverything else: 2 works · 7.6% of their workLife Sciences: 0 works · 1.1% of their workBiochemistry, Genetics and Molecular Biology: 0 works · 1.1% of their workCancer Research: 0 works · 1.1% of their workTHEIR WORKKuiliang Gao32works
Life Sciences1%Physical Sciences91%

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. Engineering1341.3%
    2. Computer Science826.1%
    3. Earth and Planetary Sciences721.7%
    4. Environmental Science12.2%
  2. Everything else27.6%
    1. Biochemistry, Genetics and Molecular Biology01.1%
  1. 1Media Technology41% of their works
  2. 2Atmospheric Science22% of their works
  3. 3Computer Vision and Pattern Recognition20% of their works
  4. 4Artificial Intelligence6% of their works
  5. 5Ecology2% of their works
  6. 6Cancer Research1% of their works

Research topics

Which keywords describe Kuiliang Gao's research?

The keywords of their largest research topics: Remote Sensing, Hyperspectral, Deep Learning, Support Vector Machines, Classification, Image Analysis, Hyperspectral Imaging and Earthquake Damage.

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 24 words, with their numbers
  1. Remote Sensing583 topics
  2. Hyperspectral382 topics
  3. Deep Learning373 topics
  4. Support Vector Machines312 topics
  5. Classification291 topic
  6. Image Analysis291 topic
  7. Hyperspectral Imaging222 topics
  8. Earthquake Damage201 topic
  9. Geohazards201 topic
  10. Sparse Representation112 topics
  11. Wavelet Transform112 topics
  12. Image Fusion91 topic
  13. Multispectral91 topic
  14. Local Binary Patterns82 topics
  15. Content-Based Image Retrieval61 topic
  16. Feature Matching61 topic
  17. Local Descriptors61 topic
  18. Shape Matching61 topic
  19. Domain Adaptation51 topic
  20. Transfer Learning51 topic
  21. Dimensionality Reduction21 topic
  22. Face Recognition21 topic
  23. Image Denoising21 topic
  24. Sparse Representations21 topic

Where does Kuiliang Gao work?

Kuiliang Gao's main affiliation in the publication record is PLA Information Engineering University, China.

How many publications and citations does Kuiliang Gao have?

OpenAlex counts 32 works and 1,074 citations for Kuiliang Gao, an h-index of 16, ranking #1,090,216 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

Ask a question or share a note about Kuiliang Gao. 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.