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Researcher · Harvard University · United States

Shan Chen

Shan Chen publishes mostly in Artificial Intelligence, Health Informatics and General Health Professions, on topics such as Artificial Intelligence in Healthcare and Education, Machine Learning in Healthcare and Topic Modeling.

ORCID 0000-0001-7999-7410 OpenAlex
World rank
#1,289,507
of 7,710,434 ranked researchers
Rank in United States
#410,524
of 1,627,098
Works
36
Citations
1.6k
Citations per work
44.0
h-index
12
i10-index 13Top 32% in Artificial Intelligence
Shan Chen

What does Shan Chen research?

Shan Chen's work is mostly in Computer Science (29%), Medicine (22%), Biochemistry, Genetics and Molecular Biology (8%).

Everything else: 12 works · 34.2% of their workPhysical Sciences: 11 works · 29.2% of their workComputer Science: 11 works · 29.2% of their workArtificial Intelligence: 11 works · 29.2% of their workHealth Sciences: 10 works · 28.2% of their workMedicine: 8 works · 21.9% of their workHealth Informatics: 6 works · 17.7% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 4.2% of their workHealth Professions: 2 works · 6.3% of their workGeneral Health Professions: 2 works · 6.3% of their workLife Sciences: 3 works · 8.4% of their workBiochemistry, Genetics and Molecular Biology: 3 works · 8.4% of their workGenetics: 2 works · 4.2% of their workMolecular Biology: 2 works · 4.2% of their workTHEIR WORKShan Chen36works
Life Sciences8%Physical Sciences29%Health Sciences28%

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. Everything else1234.2%
    1. Computer Science1129.2%
    1. Medicine821.9%
    2. Health Professions26.3%
    1. Biochemistry, Genetics and Molecular Biology38.4%
  1. 1Artificial Intelligence29% of their works
  2. 2Health Informatics18% of their works
  3. 3General Health Professions6% of their works
  4. 4Genetics4% of their works
  5. 5Radiology, Nuclear Medicine and Imaging4% of their works
  6. 6Molecular Biology4% of their works

Research topics

Which keywords describe Shan Chen's research?

The keywords of their largest research topics: Precision Medicine, Healthcare, Machine Learning, Medical Imaging, Artificial Intelligence, Clinical Decision Support, Predictive Modeling and Deep Learning.

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. Precision Medicine333 topics
  2. Healthcare292 topics
  3. Machine Learning212 topics
  4. Medical Imaging212 topics
  5. Artificial Intelligence171 topic
  6. Clinical Decision Support171 topic
  7. Predictive Modeling162 topics
  8. Deep Learning121 topic
  9. Electronic Health Records121 topic
  10. Neural Networks111 topic
  11. Word Representation111 topic
  12. Biomedical Ontologies41 topic
  13. Quantitative Analysis41 topic
  14. Radiomics41 topic
  15. Text Mining41 topic
  16. Genetic Variants31 topic
  17. Sequence Interpretation31 topic
  18. Health Literacy21 topic
  19. Neural Machine Translation21 topic
  20. Statistical Machine Translation21 topic
  21. eHealth21 topic

Where does Shan Chen work?

Shan Chen's main affiliation in the publication record is Harvard University, United States.

How many publications and citations does Shan Chen have?

OpenAlex counts 36 works and 1,584 citations for Shan Chen, an h-index of 12, ranking #1,289,507 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

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