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Researcher · Beijing Institute of Technology · China

Guang-Yu Nie

Guang-Yu Nie publishes mostly in Computer Vision and Pattern Recognition, Mechanical Engineering and Human-Computer Interaction, on topics such as Visual Attention and Saliency Detection, Advanced Vision and Imaging and Advanced Image and Video Retrieval Techniques.

ORCID 0000-0002-5268-6441 OpenAlex
World rank
#2,357,875
of 7,710,434 ranked researchers
Rank in China
#367,470
of 978,568
Works
19
Citations
473
Citations per work
24.9
h-index
9
i10-index 9Top 52% in Computer Vision and Pattern Recognition
Guang-Yu Nie

What does Guang-Yu Nie research?

Guang-Yu Nie's work is mostly in Computer Science (66%), Engineering (13%), Earth and Planetary Sciences (4%).

Physical Sciences: 16 works · 81.8% of their workComputer Science: 12 works · 65.5% of their workComputer Vision and Pattern Recognition: 11 works · 60.0% of their workHuman-Computer Interaction: 1 works · 5.5% of their workEngineering: 2 works · 12.7% of their workMechanical Engineering: 1 works · 5.5% of their workAerospace Engineering: 1 works · 3.6% of their workCivil and Structural Engineering: 1 works · 3.6% of their workEarth and Planetary Sciences: 1 works · 3.6% of their workGeology: 1 works · 3.6% of their workEverything else: 3 works · 18.2% of their workTHEIR WORKGuang-Yu Nie19works
Physical Sciences82%

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 Science1265.5%
    2. Engineering212.7%
    3. Earth and Planetary Sciences13.6%
  2. Everything else318.2%
  1. 1Computer Vision and Pattern Recognition60% of their works
  2. 2Mechanical Engineering6% of their works
  3. 3Human-Computer Interaction6% of their works
  4. 4Aerospace Engineering4% of their works
  5. 5Civil and Structural Engineering4% of their works
  6. 6Geology4% of their works

Research topics

Which keywords describe Guang-Yu Nie's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Convolutional Networks, Saliency Detection, Visual Attention, Depth Estimation, Stereo Vision and Convolutional Neural Networks.

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.

All 20 words, with their numbers
  1. Deep Learning226 topics
  2. Neural Networks102 topics
  3. Convolutional Networks92 topics
  4. Saliency Detection71 topic
  5. Visual Attention71 topic
  6. Depth Estimation61 topic
  7. Stereo Vision61 topic
  8. Convolutional Neural Networks42 topics
  9. Feature Matching41 topic
  10. Image Quality Assessment41 topic
  11. Local Descriptors41 topic
  12. Perceptual Quality41 topic
  13. Embodiment31 topic
  14. Image31 topic
  15. Presence31 topic
  16. Super-Resolution31 topic
  17. Image Recognition21 topic
  18. Object Detection21 topic
  19. Object Tracking21 topic
  20. Visual Tracking21 topic

Where does Guang-Yu Nie work?

Guang-Yu Nie's main affiliation in the publication record is Beijing Institute of Technology, China.

How many publications and citations does Guang-Yu Nie have?

OpenAlex counts 19 works and 473 citations for Guang-Yu Nie, an h-index of 9, ranking #2,357,875 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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.

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