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Researcher · Yuan Ze University · Taiwan

Jia-Li Yin

Jia-Li Yin publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, on topics such as Adversarial Robustness in Machine Learning, Image Enhancement Techniques and Advanced Image Processing Techniques.

World rank
#526,008
of 1,633,909 ranked researchers
Rank in Taiwan
#2,300
of 9,848
Works
17
Citations
30
Citations per work
1.8

What does Jia-Li Yin research?

Computer Vision and Pattern Recognition: 40.0%Artificial Intelligence: 40.0%Media Technology: 20.0%40%top field
Computer Vision and Pattern Recognition40.0%Artificial Intelligence40.0%Media Technology20.0%

Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.

  1. 1Computer Vision and Pattern Recognition40% of their works
  2. 2Artificial Intelligence40% of their works
  3. 3Media Technology20% of their works

Research topics

Which keywords describe Jia-Li Yin's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Adversarial Examples, Robustness, Sparse Representation, Contrast Enhancement, Dehazing and Image.

Size is their works in the topics tagged with each word, from their 4 largest topics. Each links to the topic it comes from most.

All 11 words, with their numbers
  1. Deep Learning43 topics
  2. Neural Networks32 topics
  3. Adversarial Examples21 topic
  4. Robustness21 topic
  5. Sparse Representation22 topics
  6. Contrast Enhancement11 topic
  7. Dehazing11 topic
  8. Image11 topic
  9. Image Fusion11 topic
  10. Multispectral11 topic
  11. Super-Resolution11 topic

Where does Jia-Li Yin work?

Jia-Li Yin's main affiliation in the publication record is Yuan Ze University, Taiwan.

How many publications and citations does Jia-Li Yin have?

Science Explorer counts 17 works and 30 citations for Jia-Li Yin, ranking #526,008 of 1,633,909 researchers worldwide on the composite 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 are in the interactive view on the map. Is this your page? Request a correction or removal.