Science Explorer Back to mapMap
Discussion
Researcher · Virginia Tech · United States

Jia‐Bin Huang

Jia‐Bin Huang publishes mostly in Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Artificial Intelligence, on topics such as Advanced Vision and Imaging, Advanced Image Processing Techniques and Computer Graphics and Visualization Techniques.

ORCID 0000-0002-0536-3658 OpenAlex
World rank
#35,897
of 7,710,434 ranked researchers
Rank in United States
#13,711
of 1,627,098
Works
280
Citations
26k
Citations per work
91.4
h-index
60
i10-index 121Top 0.6% in Computer Vision and Pattern Recognition
Jia‐Bin Huang

What does Jia‐Bin Huang research?

Jia‐Bin Huang's work is mostly in Computer Science (68%), Engineering (9%).

Physical Sciences: 215 works · 76.8% of their workComputer Science: 189 works · 67.5% of their workComputer Vision and Pattern Recognition: 157 works · 56.2% of their workComputer Graphics and Computer-Aided Design: 18 works · 6.4% of their workArtificial Intelligence: 14 works · 4.9% of their workEngineering: 26 works · 9.3% of their workMedia Technology: 10 works · 3.6% of their workComputational Mechanics: 8 works · 3.0% of their workElectrical and Electronic Engineering: 8 works · 2.7% of their workEverything else: 65 works · 23.2% of their workTHEIR WORKJia‐Bin Huang280works
Physical Sciences77%

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 Science18967.5%
    2. Engineering269.3%
  2. Everything else6523.2%
  1. 1Computer Vision and Pattern Recognition56% of their works
  2. 2Computer Graphics and Computer-Aided Design6% of their works
  3. 3Artificial Intelligence5% of their works
  4. 4Media Technology4% of their works
  5. 5Computational Mechanics3% of their works
  6. 6Electrical and Electronic Engineering3% of their works

Research topics

Which keywords describe Jia‐Bin Huang's research?

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

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 Learning2226 topics
  2. Convolutional Networks1622 topics
  3. Unsupervised Learning1512 topics
  4. Neural Networks1383 topics
  5. Depth Estimation1061 topic
  6. Stereo Vision1061 topic
  7. Generative Adversarial Networks1012 topics
  8. Image561 topic
  9. Super-Resolution561 topic
  10. Computer Graphics521 topic
  11. Visualization521 topic
  12. Image Inpainting451 topic
  13. Image Synthesis451 topic
  14. Image Captioning371 topic
  15. Visual Question Answering371 topic
  16. Contrast Enhancement321 topic
  17. Dehazing321 topic
  18. Convolutional Neural Networks281 topic
  19. Image Recognition281 topic
  20. Feature Matching241 topic
  21. Local Descriptors241 topic

Where does Jia‐Bin Huang work?

Jia‐Bin Huang's main affiliation in the publication record is Virginia Tech, United States.

How many publications and citations does Jia‐Bin Huang have?

OpenAlex counts 280 works and 25,583 citations for Jia‐Bin Huang, an h-index of 60, ranking #35,897 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.

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

Ask a question or share a note about Jia‐Bin Huang. Posts are plain text and can be reported.