Science Explorer Back to mapMap
Discussion
Researcher · Mass General Brigham · United States

Shan Chen

Shan Chen publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Sociology and Political Science, on topics such as Topic Modeling, Cryptographic Implementations and Security and Privacy-Preserving Technologies in Data.

ORCID 0000-0003-0912-7254 OpenAlex
World rank
#2,011,607
of 7,710,434 ranked researchers
Rank in United States
#610,407
of 1,627,098
Works
57
Citations
711
Citations per work
12.5
h-index
11
i10-index 12Top 37% in Artificial Intelligence
Shan Chen

What does Shan Chen research?

Shan Chen's work is mostly in Computer Science (57%), Social Sciences (6%).

Physical Sciences: 32 works · 57.0% of their workComputer Science: 32 works · 57.0% of their workArtificial Intelligence: 21 works · 36.9% of their workComputer Vision and Pattern Recognition: 3 works · 6.0% of their workInformation Systems: 3 works · 6.0% of their workComputer Networks and Communications: 3 works · 4.7% of their workSignal Processing: 2 works · 3.4% of their workEverything else: 21 works · 37.0% of their workSocial Sciences: 3 works · 6.0% of their workSocial Sciences: 3 works · 6.0% of their workSociology and Political Science: 3 works · 6.0% of their workTHEIR WORKShan Chen57works
Physical Sciences57%Social 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 Science3257.0%
  2. Everything else2137.0%
    1. Social Sciences36.0%
  1. 1Artificial Intelligence37% of their works
  2. 2Computer Vision and Pattern Recognition6% of their works
  3. 3Sociology and Political Science6% of their works
  4. 4Information Systems6% of their works
  5. 5Computer Networks and Communications5% of their works
  6. 6Signal Processing3% of their works

Research topics

Which keywords describe Shan Chen's research?

The keywords of their largest research topics: Cryptanalysis, Security Analysis, Machine Learning, Neural Networks, Word Representation, Block Ciphers, Data Integration and Hash Functions.

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. Cryptanalysis102 topics
  2. Security Analysis102 topics
  3. Machine Learning82 topics
  4. Neural Networks71 topic
  5. Word Representation71 topic
  6. Block Ciphers61 topic
  7. Data Integration62 topics
  8. Hash Functions61 topic
  9. Semantic Web62 topics
  10. Artificial Intelligence41 topic
  11. Chaos41 topic
  12. Cryptography41 topic
  13. Differential Privacy41 topic
  14. Error-Correcting Codes41 topic
  15. Federated Learning41 topic
  16. Healthcare41 topic
  17. Image Encryption41 topic
  18. Biomedical Ontologies31 topic
  19. Linked Data31 topic
  20. Ontology31 topic
  21. Text Mining31 topic

Where does Shan Chen work?

Shan Chen's main affiliation in the publication record is Mass General Brigham, United States.

How many publications and citations does Shan Chen have?

OpenAlex counts 57 works and 711 citations for Shan Chen, an h-index of 11, ranking #2,011,607 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.

Other researchers named Shan Chen

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

Ask a question or share a note about Shan Chen. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.