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Researcher · Tencent (China) · China

Liangbin Xie

Liangbin Xie publishes mostly in Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence, on topics such as Advanced Image Processing Techniques, Advanced Vision and Imaging and Image and Signal Denoising Methods.

ORCID 0009-0009-1931-517X OpenAlex
World rank
#633,570
of 7,710,434 ranked researchers
Rank in China
#81,843
of 978,568
Works
36
Citations
3.2k
Citations per work
89.9
h-index
15
i10-index 17Top 23% in Computer Vision and Pattern Recognition
Liangbin Xie

What does Liangbin Xie research?

Liangbin Xie's work is mostly in Computer Science (56%), Engineering (13%), Medicine (4%).

Physical Sciences: 25 works · 69.0% of their workComputer Science: 20 works · 56.4% of their workComputer Vision and Pattern Recognition: 19 works · 51.5% of their workArtificial Intelligence: 2 works · 4.9% of their workEngineering: 5 works · 12.6% of their workElectrical and Electronic Engineering: 2 works · 5.8% of their workControl and Systems Engineering: 1 works · 3.9% of their workMedia Technology: 1 works · 2.9% of their workEverything else: 10 works · 27.1% of their workHealth Sciences: 1 works · 3.9% of their workMedicine: 1 works · 3.9% of their workPulmonary and Respiratory Medicine: 1 works · 3.9% of their workTHEIR WORKLiangbin Xie36works
Physical Sciences69%Health Sciences4%

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 Science2056.4%
    2. Engineering512.6%
  2. Everything else1027.1%
    1. Medicine13.9%
  1. 1Computer Vision and Pattern Recognition52% of their works
  2. 2Electrical and Electronic Engineering6% of their works
  3. 3Artificial Intelligence5% of their works
  4. 4Pulmonary and Respiratory Medicine4% of their works
  5. 5Control and Systems Engineering4% of their works
  6. 6Media Technology3% of their works

Research topics

Which keywords describe Liangbin Xie's research?

The keywords of their largest research topics: Deep Learning, Convolutional Networks, Generative Adversarial Networks, Neural Networks, Unsupervised Learning, Image, Super-Resolution and Depth Estimation.

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 Learning334 topics
  2. Convolutional Networks252 topics
  3. Generative Adversarial Networks212 topics
  4. Neural Networks212 topics
  5. Unsupervised Learning162 topics
  6. Image151 topic
  7. Super-Resolution151 topic
  8. Depth Estimation101 topic
  9. Stereo Vision101 topic
  10. Image Denoising61 topic
  11. Image Inpainting61 topic
  12. Image Quality Assessment61 topic
  13. Image Synthesis61 topic
  14. Perceptual Quality61 topic
  15. Sparse Representations61 topic
  16. Content-Based Image Retrieval31 topic
  17. Demand Response31 topic
  18. Distributed Power Generation31 topic
  19. Microgrid Control31 topic
  20. Shape Matching31 topic
  21. Smart Grid31 topic

Where does Liangbin Xie work?

Liangbin Xie's main affiliation in the publication record is Tencent (China), China.

How many publications and citations does Liangbin Xie have?

OpenAlex counts 36 works and 3,237 citations for Liangbin Xie, an h-index of 15, ranking #633,570 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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