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Researcher · Visa (United States) · United States

Chin‐Chia Michael Yeh

Chin‐Chia Michael Yeh publishes mostly in Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, on topics such as Time Series Analysis and Forecasting, Anomaly Detection Techniques and Applications and Advanced Graph Neural Networks.

ORCID 0000-0002-9807-2963 OpenAlex
World rank
#650,729
of 7,710,434 ranked researchers
Rank in United States
#221,594
of 1,627,098
Works
129
Citations
2.5k
Citations per work
19.1
h-index
23
i10-index 32Top 9.4% in Artificial Intelligence
Chin‐Chia Michael Yeh

What does Chin‐Chia Michael Yeh research?

Chin‐Chia Michael Yeh's work is mostly in Computer Science (80%), Decision Sciences (4%).

Physical Sciences: 103 works · 79.8% of their workComputer Science: 103 works · 79.8% of their workArtificial Intelligence: 46 works · 35.5% of their workSignal Processing: 32 works · 24.7% of their workComputer Vision and Pattern Recognition: 13 works · 9.7% of their workInformation Systems: 9 works · 6.6% of their workComputer Networks and Communications: 4 works · 3.3% of their workEverything else: 21 works · 16.0% of their workSocial Sciences: 5 works · 4.2% of their workDecision Sciences: 5 works · 4.2% of their workManagement Science and Operations Research: 5 works · 4.2% of their workTHEIR WORKChin‐Chia MichaelYeh129works
Physical Sciences80%Social Sciences4%

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 Science10379.8%
  2. Everything else2116.0%
    1. Decision Sciences54.2%
  1. 1Artificial Intelligence36% of their works
  2. 2Signal Processing25% of their works
  3. 3Computer Vision and Pattern Recognition10% of their works
  4. 4Information Systems7% of their works
  5. 5Management Science and Operations Research4% of their works
  6. 6Computer Networks and Communications3% of their works

Research topics

Which keywords describe Chin‐Chia Michael Yeh's research?

The keywords of their largest research topics: Deep Learning, Time Series, Feature Extraction, Clustering, Dynamic Time Warping, Neural Networks, Anomaly Detection and Unsupervised.

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 20 words, with their numbers
  1. Deep Learning1345 topics
  2. Time Series802 topics
  3. Feature Extraction752 topics
  4. Clustering561 topic
  5. Dynamic Time Warping561 topic
  6. Neural Networks523 topics
  7. Anomaly Detection241 topic
  8. Unsupervised241 topic
  9. Audio Signal Classification191 topic
  10. Graph Neural Networks191 topic
  11. Knowledge Graph Embedding191 topic
  12. Music Information Retrieval191 topic
  13. Collaborative Filtering161 topic
  14. Matrix Factorization161 topic
  15. Concept Drift141 topic
  16. Data Streams141 topic
  17. Information Visualization131 topic
  18. Visual Analytics131 topic
  19. Automatic121 topic
  20. Extraction121 topic

Where does Chin‐Chia Michael Yeh work?

Chin‐Chia Michael Yeh's main affiliation in the publication record is Visa (United States), United States.

How many publications and citations does Chin‐Chia Michael Yeh have?

OpenAlex counts 129 works and 2,465 citations for Chin‐Chia Michael Yeh, an h-index of 23, ranking #650,729 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.

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