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Researcher · National Chi Nan University · Taiwan

Peng-Yeng Yin

Peng-Yeng Yin publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Industrial and Manufacturing Engineering, on topics such as Metaheuristic Optimization Algorithms Research, Advanced Image and Video Retrieval Techniques and Image Retrieval and Classification Techniques.

ORCID 0000-0002-2835-9002 OpenAlex
World rank
#255,165
of 7,710,434 ranked researchers
Rank in Taiwan
#790
of 57,035
Works
119
Citations
3.3k
Citations per work
28.1
h-index
34
i10-index 58Top 3.7% in Computer Vision and Pattern Recognition
Peng-Yeng Yin

What does Peng-Yeng Yin research?

Peng-Yeng Yin's work is mostly in Computer Science (47%), Engineering (9%), Biochemistry, Genetics and Molecular Biology (7%).

Physical Sciences: 67 works · 56.1% of their workComputer Science: 56 works · 47.1% of their workComputer Vision and Pattern Recognition: 28 works · 23.7% of their workArtificial Intelligence: 15 works · 12.3% of their workInformation Systems: 7 works · 5.7% of their workComputational Theory and Mathematics: 6 works · 5.4% of their workEngineering: 11 works · 9.0% of their workIndustrial and Manufacturing Engineering: 11 works · 9.0% of their workEverything else: 44 works · 37.3% of their workLife Sciences: 8 works · 6.6% of their workBiochemistry, Genetics and Molecular Biology: 8 works · 6.6% of their workMolecular Biology: 8 works · 6.6% of their workTHEIR WORKPeng-Yeng Yin119works
Life Sciences7%Physical Sciences56%

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 Science5647.1%
    2. Engineering119.0%
  2. Everything else4437.3%
    1. Biochemistry, Genetics and Molecular Biology86.6%
  1. 1Computer Vision and Pattern Recognition24% of their works
  2. 2Artificial Intelligence12% of their works
  3. 3Industrial and Manufacturing Engineering9% of their works
  4. 4Molecular Biology7% of their works
  5. 5Information Systems6% of their works
  6. 6Computational Theory and Mathematics5% of their works

Research topics

Which keywords describe Peng-Yeng Yin's research?

The keywords of their largest research topics: Evolutionary Algorithms, Particle Swarm Optimization, Machine Learning, Metaheuristics, Ant Colony Optimization, Differential Evolution, Genetic Algorithm and Feature Matching.

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. Evolutionary Algorithms382 topics
  2. Particle Swarm Optimization382 topics
  3. Machine Learning333 topics
  4. Metaheuristics332 topics
  5. Ant Colony Optimization231 topic
  6. Differential Evolution231 topic
  7. Genetic Algorithm232 topics
  8. Feature Matching191 topic
  9. Local Descriptors191 topic
  10. Content-Based Image Retrieval161 topic
  11. Shape Matching161 topic
  12. Multiobjective Optimization151 topic
  13. Surrogate Modeling151 topic
  14. Heuristic Algorithms101 topic
  15. Vehicle Routing Problem101 topic
  16. Protein91 topic
  17. Subcellular Localization91 topic
  18. Air Quality Monitoring81 topic
  19. Low-Cost Sensors81 topic
  20. Manufacturing81 topic
  21. Scheduling81 topic

Where does Peng-Yeng Yin work?

Peng-Yeng Yin's main affiliation in the publication record is National Chi Nan University, Taiwan.

How many publications and citations does Peng-Yeng Yin have?

OpenAlex counts 119 works and 3,340 citations for Peng-Yeng Yin, an h-index of 34, ranking #255,165 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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