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Researcher · Victoria University of Wellington · New Zealand

Fang‐Lue Zhang

Fang‐Lue Zhang publishes mostly in Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Human-Computer Interaction, on topics such as Advanced Vision and Imaging, Computer Graphics and Visualization Techniques and Advanced Image and Video Retrieval Techniques.

ORCID 0000-0002-8728-8726 OpenAlex
World rank
#1,165,865
of 7,710,434 ranked researchers
Rank in New Zealand
#4,583
of 21,128
Works
127
Citations
1.7k
Citations per work
13.7
h-index
20
i10-index 37Top 13% in Computer Vision and Pattern Recognition
Fang‐Lue Zhang

What does Fang‐Lue Zhang research?

Fang‐Lue Zhang's work is mostly in Computer Science (73%), Engineering (8%), Neuroscience (2%).

Physical Sciences: 103 works · 81.2% of their workComputer Science: 92 works · 72.8% of their workComputer Vision and Pattern Recognition: 75 works · 58.8% of their workComputer Graphics and Computer-Aided Design: 10 works · 8.1% of their workHuman-Computer Interaction: 7 works · 5.9% of their workEngineering: 11 works · 8.4% of their workComputational Mechanics: 7 works · 5.9% of their workMedia Technology: 3 works · 2.5% of their workEverything else: 21 works · 16.6% of their workLife Sciences: 3 works · 2.2% of their workNeuroscience: 3 works · 2.2% of their workCognitive Neuroscience: 3 works · 2.2% of their workTHEIR WORKFang‐Lue Zhang127works
Life Sciences2%Physical Sciences81%

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 Science9272.8%
    2. Engineering118.4%
  2. Everything else2116.6%
    1. Neuroscience32.2%
  1. 1Computer Vision and Pattern Recognition59% of their works
  2. 2Computer Graphics and Computer-Aided Design8% of their works
  3. 3Human-Computer Interaction6% of their works
  4. 4Computational Mechanics6% of their works
  5. 5Media Technology2% of their works
  6. 6Cognitive Neuroscience2% of their works

Research topics

Which keywords describe Fang‐Lue Zhang's research?

The keywords of their largest research topics: Deep Learning, Convolutional Networks, Unsupervised Learning, Depth Estimation, Stereo Vision, Neural Networks, Computer Graphics and Visualization.

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 Learning825 topics
  2. Convolutional Networks762 topics
  3. Unsupervised Learning762 topics
  4. Depth Estimation631 topic
  5. Stereo Vision631 topic
  6. Neural Networks393 topics
  7. Computer Graphics281 topic
  8. Visualization281 topic
  9. Generative Adversarial Networks262 topics
  10. Feature Matching251 topic
  11. Local Descriptors251 topic
  12. 3D Reconstruction181 topic
  13. Point Clouds181 topic
  14. Embodiment171 topic
  15. Presence171 topic
  16. Image131 topic
  17. Image Inpainting131 topic
  18. Image Synthesis131 topic
  19. Saliency Detection131 topic
  20. Super-Resolution131 topic
  21. Visual Attention131 topic

Where does Fang‐Lue Zhang work?

Fang‐Lue Zhang's main affiliation in the publication record is Victoria University of Wellington, New Zealand.

How many publications and citations does Fang‐Lue Zhang have?

OpenAlex counts 127 works and 1,743 citations for Fang‐Lue Zhang, an h-index of 20, ranking #1,165,865 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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