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Researcher · Yonsei University · South Korea

Andrew Beng Jin Teoh

Andrew Beng Jin Teoh publishes mostly in Computer Vision and Pattern Recognition, Signal Processing and Information Systems, on topics such as Biometric Identification and Security, Face recognition and analysis and User Authentication and Security Systems.

ORCID 0000-0001-5063-9484 OpenAlex
World rank
#229,043
of 7,710,434 ranked researchers
Rank in South Korea
#1,422
of 162,609
Works
404
Citations
9.5k
Citations per work
23.4
h-index
44
i10-index 181Top 1.7% in Computer Vision and Pattern Recognition
Andrew Beng Jin Teoh

What does Andrew Beng Jin Teoh research?

Andrew Beng Jin Teoh's work is mostly in Computer Science (82%), Engineering (2%), Biochemistry, Genetics and Molecular Biology (2%).

Physical Sciences: 340 works · 84.2% of their workComputer Science: 330 works · 81.8% of their workComputer Vision and Pattern Recognition: 160 works · 39.6% of their workSignal Processing: 103 works · 25.4% of their workInformation Systems: 40 works · 9.9% of their workArtificial Intelligence: 28 works · 6.9% of their workEngineering: 10 works · 2.4% of their workBiomedical Engineering: 10 works · 2.4% of their workEverything else: 57 works · 14.1% of their workLife Sciences: 7 works · 1.7% of their workBiochemistry, Genetics and Molecular Biology: 7 works · 1.7% of their workGenetics: 7 works · 1.7% of their workTHEIR WORKAndrew Beng JinTeoh404works
Life Sciences2%Physical Sciences84%

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 Science33081.8%
    2. Engineering102.4%
  2. Everything else5714.1%
    1. Biochemistry, Genetics and Molecular Biology71.7%
  1. 1Computer Vision and Pattern Recognition40% of their works
  2. 2Signal Processing25% of their works
  3. 3Information Systems10% of their works
  4. 4Artificial Intelligence7% of their works
  5. 5Biomedical Engineering2% of their works
  6. 6Genetics2% of their works

Research topics

Which keywords describe Andrew Beng Jin Teoh's research?

The keywords of their largest research topics: Authentication, Security, Biometric Recognition, Privacy, Face Recognition, Deep Learning, Convolutional Neural Networks and Age Estimation.

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 22 words, with their numbers
  1. Authentication3872 topics
  2. Security3872 topics
  3. Biometric Recognition2721 topic
  4. Privacy2721 topic
  5. Face Recognition2452 topics
  6. Deep Learning2413 topics
  7. Convolutional Neural Networks1592 topics
  8. Age Estimation1361 topic
  9. Facial Landmark Detection1361 topic
  10. Local Binary Patterns1292 topics
  11. Biometrics1151 topic
  12. Passwords1151 topic
  13. Dimensionality Reduction1091 topic
  14. Feature Selection1091 topic
  15. Reversible Data Embedding801 topic
  16. Steganography801 topic
  17. Gait Recognition251 topic
  18. Human Identification251 topic
  19. Handwriting Recognition231 topic
  20. Text Detection231 topic
  21. Content-Based Image Retrieval201 topic
  22. Shape Matching201 topic

Where does Andrew Beng Jin Teoh work?

Andrew Beng Jin Teoh's main affiliation in the publication record is Yonsei University, South Korea.

How many publications and citations does Andrew Beng Jin Teoh have?

OpenAlex counts 404 works and 9,456 citations for Andrew Beng Jin Teoh, an h-index of 44, ranking #229,043 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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