Science Explorer Back to mapMap
Discussion
Researcher · China West Normal University · China

Yang Shao-an

Yang Shao-an publishes mostly in Education, Political Science and International Relations and Sociology and Political Science, on topics such as Ideological and Political Education, Educational Reforms and Innovations and China's Socioeconomic Reforms and Governance.

OpenAlex
World rank
#7,279,891
of 7,710,434 ranked researchers
Rank in China
#953,508
of 978,568
Works
26
Citations
1
h-index
1
i10-index 0Top 98% in Education
Yang Shao-an

What does Yang Shao-an research?

Yang Shao-an's work is mostly in Social Sciences (48%), Environmental Science (7%), Mathematics (4%).

Social Sciences: 14 works · 52.2% of their workSocial Sciences: 12 works · 47.7% of their workEducation: 5 works · 18.2% of their workPolitical Science and International Relations: 4 works · 15.9% of their workSociology and Political Science: 4 works · 13.6% of their workEconomics, Econometrics and Finance: 1 works · 4.5% of their workEconomics and Econometrics: 1 works · 4.5% of their workEverything else: 9 works · 36.5% of their workPhysical Sciences: 3 works · 11.3% of their workEnvironmental Science: 2 works · 6.8% of their workHealth, Toxicology and Mutagenesis: 2 works · 6.8% of their workMathematics: 1 works · 4.5% of their workModeling and Simulation: 1 works · 4.5% of their workTHEIR WORKYang Shao-an26works
Physical Sciences11%Social Sciences52%

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. Social Sciences1247.7%
    2. Economics, Econometrics and Finance14.5%
  2. Everything else936.5%
    1. Environmental Science26.8%
    2. Mathematics14.5%
  1. 1Education18% of their works
  2. 2Political Science and International Relations16% of their works
  3. 3Sociology and Political Science14% of their works
  4. 4Health, Toxicology and Mutagenesis7% of their works
  5. 5Modeling and Simulation4% of their works
  6. 6Economics and Econometrics4% of their works

Research topics

Which keywords describe Yang Shao-an's research?

The keywords of their largest research topics: Artificial Intelligence, Deep Learning, Ideological Education, Political Education, China, Economic Development, Nationalism and Environmental Risk Assessment.

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 22 words, with their numbers
  1. Artificial Intelligence72 topics
  2. Deep Learning72 topics
  3. Ideological Education61 topic
  4. Political Education61 topic
  5. China52 topics
  6. Economic Development52 topics
  7. Nationalism42 topics
  8. Environmental Risk Assessment31 topic
  9. Governance31 topic
  10. Political Economy31 topic
  11. Pollution Monitoring31 topic
  12. Technology Innovation32 topics
  13. Globalization21 topic
  14. International Trade21 topic
  15. Mathematical Modeling21 topic
  16. Regulation21 topic
  17. Religion21 topic
  18. Social Entrepreneurship21 topic
  19. Uyghur21 topic
  20. Xinjiang21 topic
  21. Machine Learning11 topic
  22. Neural Networks11 topic

Where does Yang Shao-an work?

Yang Shao-an's main affiliation in the publication record is China West Normal University, China.

How many publications and citations does Yang Shao-an have?

OpenAlex counts 26 works and 1 citations for Yang Shao-an, an h-index of 1, ranking #7,279,891 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

Ask a question or share a note about Yang Shao-an. Posts are plain text and can be reported.