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Researcher · Intel (United States) · United States

Minerva M. Yeung

Minerva M. Yeung publishes mostly in Computer Vision and Pattern Recognition, Signal Processing and Sociology and Political Science, on topics such as Advanced Steganography and Watermarking Techniques, Video Analysis and Summarization and Advanced Image and Video Retrieval Techniques.

OpenAlex
World rank
#215,524
of 7,710,434 ranked researchers
Rank in United States
#79,808
of 1,627,098
Works
58
Citations
4.1k
Citations per work
70.4
h-index
26
i10-index 36Top 7.3% in Computer Vision and Pattern Recognition
Minerva M. Yeung

What does Minerva M. Yeung research?

Minerva M. Yeung's work is mostly in Computer Science (84%), Social Sciences (8%).

Physical Sciences: 49 works · 83.9% of their workComputer Science: 49 works · 83.9% of their workComputer Vision and Pattern Recognition: 35 works · 60.9% of their workSignal Processing: 6 works · 9.6% of their workInformation Systems: 4 works · 6.4% of their workArtificial Intelligence: 2 works · 3.8% of their workComputer Networks and Communications: 2 works · 3.2% of their workEverything else: 5 works · 8.4% of their workSocial Sciences: 4 works · 7.7% of their workSocial Sciences: 4 works · 7.7% of their workSociology and Political Science: 4 works · 7.7% of their workTHEIR WORKMinerva M. Yeung58works
Physical Sciences84%Social Sciences8%

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 Science4983.9%
  2. Everything else58.4%
    1. Social Sciences47.7%
  1. 1Computer Vision and Pattern Recognition61% of their works
  2. 2Signal Processing10% of their works
  3. 3Sociology and Political Science8% of their works
  4. 4Information Systems6% of their works
  5. 5Artificial Intelligence4% of their works
  6. 6Computer Networks and Communications3% of their works

Research topics

Which keywords describe Minerva M. Yeung's research?

The keywords of their largest research topics: Deep Learning, Reversible Data Embedding, Steganography, Content-Based Retrieval, Video Summarization, Feature Matching, Local Descriptors and Chaos.

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 17 words, with their numbers
  1. Deep Learning463 topics
  2. Reversible Data Embedding221 topic
  3. Steganography221 topic
  4. Content-Based Retrieval201 topic
  5. Video Summarization201 topic
  6. Feature Matching151 topic
  7. Local Descriptors151 topic
  8. Chaos121 topic
  9. Image Encryption121 topic
  10. Interactive Television121 topic
  11. Social TV121 topic
  12. H.264/AVC101 topic
  13. Video Coding101 topic
  14. Digital Forensics91 topic
  15. Image Forgery Detection91 topic
  16. Content-Based Image Retrieval61 topic
  17. Shape Matching61 topic

Where does Minerva M. Yeung work?

Minerva M. Yeung's main affiliation in the publication record is Intel (United States), United States.

How many publications and citations does Minerva M. Yeung have?

OpenAlex counts 58 works and 4,084 citations for Minerva M. Yeung, an h-index of 26, ranking #215,524 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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