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Researcher · Jiangsu Second Normal University · China

Xiaoqian Ai

Xiaoqian Ai publishes mostly in Materials Chemistry, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment, on topics such as Advanced Photocatalysis Techniques, Quantum Dots Synthesis And Properties and Gas Sensing Nanomaterials and Sensors.

ORCID 0009-0005-5942-0397 OpenAlex
World rank
#3,695,834
of 7,710,434 ranked researchers
Rank in China
#577,737
of 978,568
Works
37
Citations
641
Citations per work
17.3
h-index
13
i10-index 21Top 52% in Materials Chemistry
Xiaoqian Ai

What does Xiaoqian Ai research?

Xiaoqian Ai's work is mostly in Materials Science (51%), Engineering (18%), Energy (18%).

Physical Sciences: 33 works · 89.8% of their workMaterials Science: 19 works · 50.9% of their workMaterials Chemistry: 16 works · 43.5% of their workElectronic, Optical and Magnetic Materials: 2 works · 4.6% of their workPolymers and Plastics: 1 works · 2.8% of their workEngineering: 7 works · 18.5% of their workElectrical and Electronic Engineering: 7 works · 18.5% of their workEnergy: 7 works · 17.6% of their workRenewable Energy, Sustainability and the Environment: 7 works · 17.6% of their workPhysics and Astronomy: 1 works · 2.8% of their workAtomic and Molecular Physics, and Optics: 1 works · 2.8% of their workEverything else: 4 works · 10.2% of their workTHEIR WORKXiaoqian Ai37works
Physical Sciences90%

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. Materials Science1950.9%
    2. Engineering718.5%
    3. Energy717.6%
    4. Physics and Astronomy12.8%
  2. Everything else410.2%
  1. 1Materials Chemistry44% of their works
  2. 2Electrical and Electronic Engineering18% of their works
  3. 3Renewable Energy, Sustainability and the Environment18% of their works
  4. 4Electronic, Optical and Magnetic Materials5% of their works
  5. 5Atomic and Molecular Physics, and Optics3% of their works
  6. 6Polymers and Plastics3% of their works

Research topics

Which keywords describe Xiaoqian Ai's research?

The keywords of their largest research topics: Nanomaterials, Semiconductor, Nanocrystals, Nanostructures, Semiconductors, Photocatalyst, Visible Light and Photovoltaics.

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 23 words, with their numbers
  1. Nanomaterials222 topics
  2. Semiconductor212 topics
  3. Nanocrystals193 topics
  4. Nanostructures183 topics
  5. Semiconductors173 topics
  6. Photocatalyst161 topic
  7. Visible Light161 topic
  8. Photovoltaics132 topics
  9. Efficiency102 topics
  10. Bioimaging81 topic
  11. Quantum Dots81 topic
  12. Cu2O61 topic
  13. CuO61 topic
  14. Ferromagnetism61 topic
  15. Gas Sensors61 topic
  16. Metal Oxide61 topic
  17. Two-Dimensional Materials61 topic
  18. Van der Waals Heterostructures61 topic
  19. Zinc Oxide61 topic
  20. CZTS51 topic
  21. Organometal Halide Perovskites51 topic
  22. Perovskite Solar Cells51 topic
  23. Thin-Film Solar Cells51 topic

Where does Xiaoqian Ai work?

Xiaoqian Ai's main affiliation in the publication record is Jiangsu Second Normal University, China.

How many publications and citations does Xiaoqian Ai have?

OpenAlex counts 37 works and 641 citations for Xiaoqian Ai, an h-index of 13, ranking #3,695,834 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.

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