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Researcher · Nvidia (United States) · United States

Chester Chen

Chester Chen publishes mostly in Artificial Intelligence, Health Informatics and Information Systems, on topics such as Privacy-Preserving Technologies in Data, Cryptography and Data Security and Stochastic Gradient Optimization Techniques.

ORCID 0009-0000-5835-6104 OpenAlex
World rank
#4,340,690
of 7,710,434 ranked researchers
Rank in United States
#1,164,208
of 1,627,098
Works
17
Citations
78
Citations per work
4.6
h-index
3
i10-index 1Top 95% in Artificial Intelligence
Chester Chen

What does Chester Chen research?

Chester Chen's work is mostly in Computer Science (85%), Medicine (6%), Biochemistry, Genetics and Molecular Biology (2%).

Physical Sciences: 15 works · 87.2% of their workComputer Science: 14 works · 85.1% of their workArtificial Intelligence: 12 works · 72.3% of their workComputer Networks and Communications: 1 works · 6.4% of their workInformation Systems: 1 works · 6.4% of their workEngineering: 0 works · 2.1% of their workElectrical and Electronic Engineering: 0 works · 2.1% of their workHealth Sciences: 1 works · 6.4% of their workMedicine: 1 works · 6.4% of their workHealth Informatics: 1 works · 6.4% of their workEverything else: 1 works · 4.3% of their workLife Sciences: 0 works · 2.1% of their workBiochemistry, Genetics and Molecular Biology: 0 works · 2.1% of their workMolecular Biology: 0 works · 2.1% of their workTHEIR WORKChester Chen17works
Life Sciences2%Physical Sciences87%Health Sciences6%

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 Science1485.1%
    2. Engineering02.1%
    1. Medicine16.4%
  3. Everything else14.3%
    1. Biochemistry, Genetics and Molecular Biology02.1%
  1. 1Artificial Intelligence72% of their works
  2. 2Health Informatics6% of their works
  3. 3Information Systems6% of their works
  4. 4Computer Networks and Communications6% of their works
  5. 5Electrical and Electronic Engineering2% of their works
  6. 6Molecular Biology2% of their works

Research topics

Which keywords describe Chester Chen's research?

The keywords of their largest research topics: Machine Learning, Differential Privacy, Federated Learning, Deep Learning, Healthcare, Precision Medicine, Big Data and Homomorphic Encryption.

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. Machine Learning193 topics
  2. Differential Privacy141 topic
  3. Federated Learning141 topic
  4. Deep Learning103 topics
  5. Healthcare62 topics
  6. Precision Medicine62 topics
  7. Big Data52 topics
  8. Homomorphic Encryption51 topic
  9. Identity-Based Encryption51 topic
  10. Random Projections51 topic
  11. Stochastic Gradient Descent51 topic
  12. Artificial Intelligence31 topic
  13. Electronic Health Records31 topic
  14. Medical Imaging31 topic
  15. Predictive Modeling31 topic
  16. Classification21 topic
  17. Cloud Computing21 topic
  18. Graph Neural Networks21 topic
  19. Imbalanced Data21 topic
  20. Knowledge Graph Embedding21 topic
  21. Security21 topic

Where does Chester Chen work?

Chester Chen's main affiliation in the publication record is Nvidia (United States), United States.

How many publications and citations does Chester Chen have?

OpenAlex counts 17 works and 78 citations for Chester Chen, an h-index of 3, ranking #4,340,690 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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