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Researcher · Chang Gung University · Taiwan

Po‐Yen Kuo

Po‐Yen Kuo publishes mostly in Artificial Intelligence, Nephrology and Computer Vision and Pattern Recognition, on topics such as Topic Modeling, Adversarial Robustness in Machine Learning and Hate Speech and Cyberbullying Detection.

ORCID 0000-0002-9960-5987 OpenAlex
World rank
#4,865,573
of 7,710,434 ranked researchers
Rank in Taiwan
#37,086
of 57,035
Works
17
Citations
141
Citations per work
8.3
h-index
5
i10-index 4Top 82% in Artificial Intelligence
Po‐Yen Kuo

What does Po‐Yen Kuo research?

Po‐Yen Kuo's work is mostly in Computer Science (20%), Medicine (20%), Environmental Science (4%).

Everything else: 9 works · 54.7% of their workPhysical Sciences: 4 works · 24.9% of their workComputer Science: 3 works · 20.4% of their workArtificial Intelligence: 2 works · 13.6% of their workComputer Vision and Pattern Recognition: 1 works · 6.8% of their workEnvironmental Science: 1 works · 4.5% of their workHealth, Toxicology and Mutagenesis: 1 works · 4.5% of their workHealth Sciences: 3 works · 20.4% of their workMedicine: 3 works · 20.4% of their workNephrology: 2 works · 9.1% of their workSurgery: 1 works · 6.8% of their workRheumatology: 1 works · 4.5% of their workTHEIR WORKPo‐Yen Kuo17works
Physical Sciences25%Health Sciences20%

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. Everything else954.7%
    1. Computer Science320.4%
    2. Environmental Science14.5%
    1. Medicine320.4%
  1. 1Artificial Intelligence14% of their works
  2. 2Nephrology9% of their works
  3. 3Computer Vision and Pattern Recognition7% of their works
  4. 4Surgery7% of their works
  5. 5Health, Toxicology and Mutagenesis4% of their works
  6. 6Rheumatology4% of their works

Research topics

Which keywords describe Po‐Yen Kuo's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Neural Networks, Adversarial Examples, Cancer, Detection, Hate Speech and Machine Translation.

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 20 words, with their numbers
  1. Deep Learning42 topics
  2. Machine Learning42 topics
  3. Neural Networks42 topics
  4. Adversarial Examples21 topic
  5. Cancer22 topics
  6. Detection21 topic
  7. Hate Speech21 topic
  8. Machine Translation21 topic
  9. Metal Toxicity21 topic
  10. Oxidative Stress21 topic
  11. Robustness21 topic
  12. Word Representation21 topic
  13. Exposure11 topic
  14. Gene Expression11 topic
  15. Herbicide Resistance11 topic
  16. Long Noncoding RNAs11 topic
  17. MicroRNA11 topic
  18. Pesticides11 topic
  19. RNA Regulation11 topic
  20. Weed Control11 topic

Where does Po‐Yen Kuo work?

Po‐Yen Kuo's main affiliation in the publication record is Chang Gung University, Taiwan.

How many publications and citations does Po‐Yen Kuo have?

OpenAlex counts 17 works and 141 citations for Po‐Yen Kuo, an h-index of 5, ranking #4,865,573 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.

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