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Researcher · Peking University · China

Junyi Gao

Junyi Gao publishes mostly in Artificial Intelligence, Health Information Management and Epidemiology, on topics such as Machine Learning in Healthcare, Topic Modeling and Artificial Intelligence in Healthcare.

ORCID 0000-0002-4951-8682 OpenAlex
World rank
#418,270
of 7,710,434 ranked researchers
Rank in China
#49,783
of 978,568
Works
69
Citations
1.1k
Citations per work
16.3
h-index
18
i10-index 22Top 16% in Artificial Intelligence
Junyi Gao

What does Junyi Gao research?

Junyi Gao's work is mostly in Computer Science (30%), Medicine (18%), Health Professions (7%).

Everything else: 29 works · 41.4% of their workPhysical Sciences: 24 works · 34.1% of their workComputer Science: 21 works · 29.8% of their workArtificial Intelligence: 21 works · 29.8% of their workEngineering: 3 works · 4.3% of their workMechanical Engineering: 3 works · 4.3% of their workHealth Sciences: 17 works · 24.5% of their workMedicine: 12 works · 17.6% of their workEpidemiology: 4 works · 6.4% of their workHealth Informatics: 4 works · 6.4% of their workRadiology, Nuclear Medicine and Imaging: 3 works · 4.8% of their workHealth Professions: 5 works · 6.9% of their workHealth Information Management: 5 works · 6.9% of their workTHEIR WORKJunyi Gao69works
Physical Sciences34%Health Sciences24%

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 else2941.4%
    1. Computer Science2129.8%
    2. Engineering34.3%
    1. Medicine1217.6%
    2. Health Professions56.9%
  1. 1Artificial Intelligence30% of their works
  2. 2Health Information Management7% of their works
  3. 3Epidemiology6% of their works
  4. 4Health Informatics6% of their works
  5. 5Radiology, Nuclear Medicine and Imaging5% of their works
  6. 6Mechanical Engineering4% of their works

Research topics

Which keywords describe Junyi Gao's research?

The keywords of their largest research topics: Healthcare, Precision Medicine, Deep Learning, Electronic Health Records, Predictive Modeling, Machine Learning, Artificial Intelligence and Medical Imaging.

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 24 words, with their numbers
  1. Healthcare513 topics
  2. Precision Medicine392 topics
  3. Deep Learning342 topics
  4. Electronic Health Records271 topic
  5. Predictive Modeling271 topic
  6. Machine Learning242 topics
  7. Artificial Intelligence192 topics
  8. Medical Imaging192 topics
  9. Neural Networks141 topic
  10. Word Representation141 topic
  11. Big Data Analytics121 topic
  12. Clinical Decision Support121 topic
  13. Ethical Challenges121 topic
  14. Medical Diagnosis121 topic
  15. COVID-19112 topics
  16. Epidemiology82 topics
  17. Chest X-Ray71 topic
  18. Convolutional Neural Networks71 topic
  19. Biomedical Ontologies51 topic
  20. Text Mining51 topic
  21. Modeling41 topic
  22. Sepsis41 topic
  23. Septic Shock41 topic
  24. transmission dynamics41 topic

Where does Junyi Gao work?

Junyi Gao's main affiliation in the publication record is Peking University, China.

How many publications and citations does Junyi Gao have?

OpenAlex counts 69 works and 1,124 citations for Junyi Gao, an h-index of 18, ranking #418,270 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 Junyi Gao

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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