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Researcher · National Taiwan University · Taiwan

Yu-Chiang Frank Wang

Yu-Chiang Frank Wang publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, on topics such as Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications and Advanced Image and Video Retrieval Techniques.

ORCID 0000-0002-2333-157X OpenAlex
World rank
#181,139
of 7,710,434 ranked researchers
Rank in Taiwan
#497
of 57,035
Works
287
Citations
6.8k
Citations per work
23.8
h-index
42
i10-index 101Top 2% in Computer Vision and Pattern Recognition
Yu-Chiang Frank Wang

What does Yu-Chiang Frank Wang research?

Yu-Chiang Frank Wang's work is mostly in Computer Science (79%), Engineering (8%).

Physical Sciences: 249 works · 86.6% of their workComputer Science: 226 works · 78.6% of their workComputer Vision and Pattern Recognition: 146 works · 51.0% of their workArtificial Intelligence: 59 works · 20.7% of their workSignal Processing: 15 works · 5.2% of their workComputer Graphics and Computer-Aided Design: 5 works · 1.7% of their workEngineering: 23 works · 8.0% of their workComputational Mechanics: 12 works · 4.2% of their workMedia Technology: 11 works · 3.8% of their workEverything else: 38 works · 13.4% of their workTHEIR WORKYu-Chiang FrankWang287works
Physical Sciences87%

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 Science22678.6%
    2. Engineering238.0%
  2. Everything else3813.4%
  1. 1Computer Vision and Pattern Recognition51% of their works
  2. 2Artificial Intelligence21% of their works
  3. 3Signal Processing5% of their works
  4. 4Computational Mechanics4% of their works
  5. 5Media Technology4% of their works
  6. 6Computer Graphics and Computer-Aided Design2% of their works

Research topics

Which keywords describe Yu-Chiang Frank Wang's research?

The keywords of their largest research topics: Deep Learning, Unsupervised Learning, Neural Networks, Convolutional Networks, Representation Learning, Domain Adaptation, Transfer Learning and Generative Adversarial Networks.

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 22 words, with their numbers
  1. Deep Learning2056 topics
  2. Unsupervised Learning1273 topics
  3. Neural Networks1083 topics
  4. Convolutional Networks923 topics
  5. Representation Learning912 topics
  6. Domain Adaptation601 topic
  7. Transfer Learning601 topic
  8. Generative Adversarial Networks582 topics
  9. Image Captioning501 topic
  10. Visual Question Answering501 topic
  11. Feature Matching391 topic
  12. Local Descriptors391 topic
  13. Depth Estimation361 topic
  14. Stereo Vision361 topic
  15. Image Inpainting311 topic
  16. Image Synthesis311 topic
  17. Action Recognition291 topic
  18. Object Tracking291 topic
  19. Pose Estimation291 topic
  20. Visual Tracking291 topic
  21. Image271 topic
  22. Super-Resolution271 topic

Where does Yu-Chiang Frank Wang work?

Yu-Chiang Frank Wang's main affiliation in the publication record is National Taiwan University, Taiwan.

How many publications and citations does Yu-Chiang Frank Wang have?

OpenAlex counts 287 works and 6,824 citations for Yu-Chiang Frank Wang, an h-index of 42, ranking #181,139 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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