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Researcher · Shanghai University of Medicine and Health Sciences · China

Kaijun Yu

Kaijun Yu publishes mostly in General Health Professions, Artificial Intelligence and Sociology and Political Science, on topics such as Global Healthcare and Medical Tourism, Global Health Care Issues and Advanced Multi-Objective Optimization Algorithms.

ORCID 0000-0003-1571-6776 OpenAlex
World rank
#6,052,056
of 7,710,434 ranked researchers
Rank in China
#853,422
of 978,568
Works
39
Citations
113
Citations per work
2.9
h-index
4
i10-index 2Top 82% in General Health Professions
Kaijun Yu

What does Kaijun Yu research?

Kaijun Yu's work is mostly in Computer Science (10%), Health Professions (10%), Social Sciences (10%).

Everything else: 24 works · 60.6% of their workSocial Sciences: 6 works · 15.4% of their workSocial Sciences: 4 works · 9.8% of their workSociology and Political Science: 2 works · 5.6% of their workEducation: 2 works · 4.2% of their workBusiness, Management and Accounting: 2 works · 5.6% of their workOrganizational Behavior and Human Resource Management: 2 works · 5.6% of their workHealth Sciences: 5 works · 14.1% of their workHealth Professions: 4 works · 9.9% of their workGeneral Health Professions: 4 works · 9.9% of their workMedicine: 2 works · 4.2% of their workComplementary and alternative medicine: 2 works · 4.2% of their workPhysical Sciences: 4 works · 9.9% of their workComputer Science: 4 works · 9.9% of their workArtificial Intelligence: 4 works · 9.9% of their workTHEIR WORKKaijun Yu39works
Physical Sciences10%Health Sciences14%Social Sciences15%

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 else2460.6%
    1. Social Sciences49.8%
    2. Business, Management and Accounting25.6%
    1. Health Professions49.9%
    2. Medicine24.2%
    1. Computer Science49.9%
  1. 1General Health Professions10% of their works
  2. 2Artificial Intelligence10% of their works
  3. 3Sociology and Political Science6% of their works
  4. 4Organizational Behavior and Human Resource Management6% of their works
  5. 5Complementary and alternative medicine4% of their works
  6. 6Education4% of their works

Research topics

Which keywords describe Kaijun Yu's research?

The keywords of their largest research topics: Genetic Algorithm, Healthcare Outsourcing, Medical Tourism, Ageing Population, Health Care Expenditure, Aggregate Production Planning, Analytic Hierarchy Process and Cardiovascular Diseases.

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.

All 17 words, with their numbers
  1. Genetic Algorithm42 topics
  2. Healthcare Outsourcing41 topic
  3. Medical Tourism41 topic
  4. Ageing Population31 topic
  5. Health Care Expenditure31 topic
  6. Aggregate Production Planning21 topic
  7. Analytic Hierarchy Process21 topic
  8. Cardiovascular Diseases21 topic
  9. Evolutionary Algorithms21 topic
  10. Fuzzy Goal Programming21 topic
  11. Health Financing21 topic
  12. Multiobjective Optimization21 topic
  13. Remote Display21 topic
  14. Risk Factors21 topic
  15. TOPSIS21 topic
  16. Thin-Client Computing21 topic
  17. Universal Coverage21 topic

Where does Kaijun Yu work?

Kaijun Yu's main affiliation in the publication record is Shanghai University of Medicine and Health Sciences, China.

How many publications and citations does Kaijun Yu have?

OpenAlex counts 39 works and 113 citations for Kaijun Yu, an h-index of 4, ranking #6,052,056 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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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