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Researcher · Baidu (China) · China

Jingtuo Liu

Jingtuo Liu publishes mostly in Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, on topics such as Face recognition and analysis, Generative Adversarial Networks and Image Synthesis and Handwritten Text Recognition Techniques.

ORCID 0000-0003-0566-0780 OpenAlex
World rank
#176,639
of 7,710,434 ranked researchers
Rank in China
#17,376
of 978,568
Works
74
Citations
3.9k
Citations per work
52.9
h-index
28
i10-index 43Top 6.1% in Computer Vision and Pattern Recognition
Jingtuo Liu

What does Jingtuo Liu research?

Jingtuo Liu's work is mostly in Computer Science (92%), Engineering (4%).

Physical Sciences: 71 works · 96.3% of their workComputer Science: 68 works · 92.2% of their workComputer Vision and Pattern Recognition: 53 works · 72.0% of their workSignal Processing: 7 works · 10.1% of their workArtificial Intelligence: 6 works · 8.7% of their workComputer Graphics and Computer-Aided Design: 1 works · 1.4% of their workEngineering: 3 works · 4.1% of their workMedia Technology: 2 works · 2.3% of their workControl and Systems Engineering: 1 works · 1.8% of their workEverything else: 3 works · 3.7% of their workTHEIR WORKJingtuo Liu74works
Physical Sciences96%

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 Science6892.2%
    2. Engineering34.1%
  2. Everything else33.7%
  1. 1Computer Vision and Pattern Recognition72% of their works
  2. 2Signal Processing10% of their works
  3. 3Artificial Intelligence9% of their works
  4. 4Media Technology2% of their works
  5. 5Control and Systems Engineering2% of their works
  6. 6Computer Graphics and Computer-Aided Design1% of their works

Research topics

Which keywords describe Jingtuo Liu's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Neural Networks, Unsupervised Learning, Face Recognition, Facial Landmark Detection, Generative Adversarial Networks and Image Synthesis.

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 20 words, with their numbers
  1. Deep Learning714 topics
  2. Convolutional Neural Networks543 topics
  3. Neural Networks513 topics
  4. Unsupervised Learning332 topics
  5. Face Recognition261 topic
  6. Facial Landmark Detection261 topic
  7. Generative Adversarial Networks241 topic
  8. Image Synthesis241 topic
  9. Handwriting Recognition171 topic
  10. Text Detection171 topic
  11. Content-Based Image Retrieval111 topic
  12. Object Tracking111 topic
  13. Shape Matching111 topic
  14. Visual Tracking111 topic
  15. Audio-Visual Speech Recognition101 topic
  16. Neural Machine Translation101 topic
  17. Speech Enhancement101 topic
  18. Statistical Machine Translation101 topic
  19. Depth Estimation91 topic
  20. Stereo Vision91 topic

Where does Jingtuo Liu work?

Jingtuo Liu's main affiliation in the publication record is Baidu (China), China.

How many publications and citations does Jingtuo Liu have?

OpenAlex counts 74 works and 3,917 citations for Jingtuo Liu, an h-index of 28, ranking #176,639 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.

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