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Researcher · University of Chinese Academy of Sciences · China

Lv Tang

Lv Tang publishes mostly in Computer Vision and Pattern Recognition, Cognitive Neuroscience and Mechanical Engineering, on topics such as Visual Attention and Saliency Detection, Advanced Image and Video Retrieval Techniques and Advanced Data Compression Techniques.

ORCID 0000-0001-7359-1057 OpenAlex
World rank
#2,475,262
of 7,710,434 ranked researchers
Rank in China
#386,751
of 978,568
Works
48
Citations
801
Citations per work
16.7
h-index
13
i10-index 18Top 30% in Computer Vision and Pattern Recognition
Lv Tang

What does Lv Tang research?

Lv Tang's work is mostly in Computer Science (69%), Engineering (11%), Neuroscience (5%).

Physical Sciences: 38 works · 79.9% of their workComputer Science: 33 works · 69.1% of their workComputer Vision and Pattern Recognition: 32 works · 66.2% of their workSignal Processing: 1 works · 2.9% of their workEngineering: 5 works · 10.8% of their workMechanical Engineering: 2 works · 5.0% of their workComputational Mechanics: 1 works · 2.9% of their workControl and Systems Engineering: 1 works · 2.9% of their workEverything else: 7 works · 15.1% of their workLife Sciences: 2 works · 5.0% of their workNeuroscience: 2 works · 5.0% of their workCognitive Neuroscience: 2 works · 5.0% of their workTHEIR WORKLv Tang48works
Life Sciences5%Physical Sciences80%

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 Science3369.1%
    2. Engineering510.8%
  2. Everything else715.1%
    1. Neuroscience25.0%
  1. 1Computer Vision and Pattern Recognition66% of their works
  2. 2Cognitive Neuroscience5% of their works
  3. 3Mechanical Engineering5% of their works
  4. 4Control and Systems Engineering3% of their works
  5. 5Computational Mechanics3% of their works
  6. 6Signal Processing3% of their works

Research topics

Which keywords describe Lv Tang's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Saliency Detection, Visual Attention, Object Recognition, Hyperspectral Imaging, Convolutional Neural Networks and Feature Matching.

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 21 words, with their numbers
  1. Deep Learning677 topics
  2. Neural Networks262 topics
  3. Saliency Detection201 topic
  4. Visual Attention201 topic
  5. Object Recognition172 topics
  6. Hyperspectral Imaging152 topics
  7. Convolutional Neural Networks132 topics
  8. Feature Matching121 topic
  9. Local Descriptors121 topic
  10. JPEG200091 topic
  11. Wavelet Compression91 topic
  12. Contrast Enhancement71 topic
  13. Dehazing71 topic
  14. Image Recognition71 topic
  15. Object Detection71 topic
  16. Image61 topic
  17. Image Denoising61 topic
  18. Sparse Representations61 topic
  19. Super-Resolution61 topic
  20. Face Perception51 topic
  21. Neural Mechanisms51 topic

Where does Lv Tang work?

Lv Tang's main affiliation in the publication record is University of Chinese Academy of Sciences, China.

How many publications and citations does Lv Tang have?

OpenAlex counts 48 works and 801 citations for Lv Tang, an h-index of 13, ranking #2,475,262 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 Lv Tang

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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