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Researcher · Sun Yat-sen University · China

Xiaodan Liang

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

ORCID 0000-0003-3213-3062 OpenAlex
World rank
#12,054
of 7,710,434 ranked researchers
Rank in China
#648
of 978,568
Works
614
Citations
24k
Citations per work
39.2
h-index
80
i10-index 278Top 0.2% in Computer Vision and Pattern Recognition
Xiaodan Liang

What does Xiaodan Liang research?

Xiaodan Liang's work is mostly in Computer Science (79%), Engineering (6%), Medicine (1%).

Physical Sciences: 518 works · 84.4% of their workComputer Science: 484 works · 78.8% of their workComputer Vision and Pattern Recognition: 275 works · 44.8% of their workArtificial Intelligence: 209 works · 34.0% of their workEngineering: 34 works · 5.6% of their workControl and Systems Engineering: 14 works · 2.2% of their workComputational Mechanics: 12 works · 2.0% of their workAerospace Engineering: 9 works · 1.4% of their workEverything else: 88 works · 14.3% of their workHealth Sciences: 8 works · 1.3% of their workMedicine: 8 works · 1.3% of their workRadiology, Nuclear Medicine and Imaging: 8 works · 1.3% of their workTHEIR WORKXiaodan Liang614works
Physical Sciences84%Health 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 Science48478.8%
    2. Engineering345.6%
  2. Everything else8814.3%
    1. Medicine81.3%
  1. 1Computer Vision and Pattern Recognition45% of their works
  2. 2Artificial Intelligence34% of their works
  3. 3Control and Systems Engineering2% of their works
  4. 4Computational Mechanics2% of their works
  5. 5Aerospace Engineering1% of their works
  6. 6Radiology, Nuclear Medicine and Imaging1% of their works

Research topics

Which keywords describe Xiaodan Liang's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Representation Learning, Unsupervised Learning, Image Captioning, Visual Question Answering, Domain Adaptation and Transfer Learning.

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 Learning5955 topics
  2. Neural Networks4103 topics
  3. Representation Learning2192 topics
  4. Unsupervised Learning2192 topics
  5. Image Captioning2151 topic
  6. Visual Question Answering2151 topic
  7. Domain Adaptation1591 topic
  8. Transfer Learning1591 topic
  9. Convolutional Neural Networks1551 topic
  10. Image Recognition1551 topic
  11. Machine Translation1351 topic
  12. Word Representation1351 topic
  13. Feature Matching1001 topic
  14. Local Descriptors1001 topic
  15. Neural Machine Translation961 topic
  16. Statistical Machine Translation961 topic
  17. Action Recognition651 topic
  18. Pose Estimation651 topic
  19. Generative Adversarial Networks601 topic
  20. Image Synthesis601 topic

Where does Xiaodan Liang work?

Xiaodan Liang's main affiliation in the publication record is Sun Yat-sen University, China.

How many publications and citations does Xiaodan Liang have?

OpenAlex counts 614 works and 24,054 citations for Xiaodan Liang, an h-index of 80, ranking #12,054 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.

Other researchers named Xiaodan Liang

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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