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Researcher · Anhui Sanlian University · China

Yingying Mei

Yingying Mei publishes mostly in Education, Information Systems and Artificial Intelligence, on topics such as Innovative Educational Techniques, Educational Technology and Pedagogy and Educational Reforms and Innovations.

ORCID 0000-0003-2334-006X OpenAlex
World rank
#5,683,111
of 7,710,434 ranked researchers
Rank in China
#819,367
of 978,568
Works
43
Citations
177
Citations per work
4.1
h-index
5
i10-index 4Top 53% in Education
Yingying Mei

What does Yingying Mei research?

Yingying Mei's work is mostly in Computer Science (29%), Social Sciences (16%), Environmental Science (5%).

Everything else: 20 works · 46.3% of their workPhysical Sciences: 14 works · 33.6% of their workComputer Science: 12 works · 28.8% of their workInformation Systems: 6 works · 14.4% of their workArtificial Intelligence: 5 works · 10.6% of their workComputer Networks and Communications: 2 works · 3.8% of their workEnvironmental Science: 2 works · 4.8% of their workHealth, Toxicology and Mutagenesis: 2 works · 4.8% of their workSocial Sciences: 7 works · 16.3% of their workSocial Sciences: 7 works · 16.3% of their workEducation: 7 works · 16.3% of their workLife Sciences: 2 works · 3.8% of their workPharmacology, Toxicology and Pharmaceutics: 2 works · 3.8% of their workPharmacology: 2 works · 3.8% of their workTHEIR WORKYingying Mei43works
Life Sciences4%Physical Sciences34%Social Sciences16%

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 else2046.3%
    1. Computer Science1228.8%
    2. Environmental Science24.8%
    1. Social Sciences716.3%
    1. Pharmacology, Toxicology and Pharmaceutics23.8%
  1. 1Education16% of their works
  2. 2Information Systems14% of their works
  3. 3Artificial Intelligence11% of their works
  4. 4Health, Toxicology and Mutagenesis5% of their works
  5. 5Pharmacology4% of their works
  6. 6Computer Networks and Communications4% of their works

Research topics

Which keywords describe Yingying Mei's research?

The keywords of their largest research topics: Artificial Intelligence, Cloud Computing, Deep Learning, Education, Leadership, Environmental Risk Assessment, Online Education and Pollution Monitoring.

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 19 words, with their numbers
  1. Artificial Intelligence153 topics
  2. Cloud Computing82 topics
  3. Deep Learning82 topics
  4. Education71 topic
  5. Leadership71 topic
  6. Environmental Risk Assessment51 topic
  7. Online Education51 topic
  8. Pollution Monitoring51 topic
  9. Teaching Evaluation51 topic
  10. Prior Learning41 topic
  11. Recognition41 topic
  12. Cross-Platform Development31 topic
  13. Ideological Education31 topic
  14. Log Analysis31 topic
  15. Mobile Application Development31 topic
  16. Performance Prediction31 topic
  17. Political Education31 topic
  18. Vocational and Technical Education31 topic
  19. Web-based B2B portals31 topic

Where does Yingying Mei work?

Yingying Mei's main affiliation in the publication record is Anhui Sanlian University, China.

How many publications and citations does Yingying Mei have?

OpenAlex counts 43 works and 177 citations for Yingying Mei, an h-index of 5, ranking #5,683,111 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.

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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