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Researcher · Sichuan Normal University · China

Yi Xia

Yi Xia publishes mostly in Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering, on topics such as Advanced Nanomaterials in Catalysis, Nanoplatforms for cancer theranostics and Electrochemical sensors and biosensors.

ORCID 0000-0002-3846-0948 OpenAlex
World rank
#1,992,389
of 7,710,434 ranked researchers
Rank in China
#306,525
of 978,568
Works
49
Citations
446
Citations per work
9.1
h-index
13
i10-index 15Top 52% in Materials Chemistry
Yi Xia

What does Yi Xia research?

Yi Xia's work is mostly in Materials Science (16%), Engineering (16%), Computer Science (7%).

Everything else: 24 works · 50.0% of their workPhysical Sciences: 22 works · 44.0% of their workMaterials Science: 8 works · 16.4% of their workMaterials Chemistry: 8 works · 16.4% of their workEngineering: 8 works · 15.7% of their workElectrical and Electronic Engineering: 4 works · 8.2% of their workBiomedical Engineering: 4 works · 7.5% of their workComputer Science: 3 works · 6.7% of their workComputer Vision and Pattern Recognition: 3 works · 6.7% of their workEnvironmental Science: 3 works · 5.2% of their workEcology: 3 works · 5.2% of their workLife Sciences: 3 works · 6.0% of their workBiochemistry, Genetics and Molecular Biology: 3 works · 6.0% of their workMolecular Biology: 3 works · 6.0% of their workTHEIR WORKYi Xia49works
Life Sciences6%Physical Sciences44%

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 else2450.0%
    1. Materials Science816.4%
    2. Engineering815.7%
    3. Computer Science36.7%
    4. Environmental Science35.2%
    1. Biochemistry, Genetics and Molecular Biology36.0%
  1. 1Materials Chemistry16% of their works
  2. 2Electrical and Electronic Engineering8% of their works
  3. 3Biomedical Engineering8% of their works
  4. 4Computer Vision and Pattern Recognition7% of their works
  5. 5Molecular Biology6% of their works
  6. 6Ecology5% of their works

Research topics

Which keywords describe Yi Xia's research?

The keywords of their largest research topics: Biomedical Applications, Deep Learning, Nanozymes, Peroxidase-Like Activity, Electrochemical Biosensors, Graphene, Nanoparticles and Photothermal Therapy.

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 18 words, with their numbers
  1. Biomedical Applications142 topics
  2. Deep Learning144 topics
  3. Nanozymes101 topic
  4. Peroxidase-Like Activity101 topic
  5. Electrochemical Biosensors51 topic
  6. Graphene51 topic
  7. Nanoparticles51 topic
  8. Photothermal Therapy51 topic
  9. Carbon Quantum Dots41 topic
  10. Fabric Defect Detection41 topic
  11. Fluorescent Nanoparticles41 topic
  12. Machine Vision41 topic
  13. Plant Disease Detection41 topic
  14. Smart Farming41 topic
  15. Action Recognition31 topic
  16. Object Tracking31 topic
  17. Pose Estimation31 topic
  18. Visual Tracking31 topic

Where does Yi Xia work?

Yi Xia's main affiliation in the publication record is Sichuan Normal University, China.

How many publications and citations does Yi Xia have?

OpenAlex counts 49 works and 446 citations for Yi Xia, an h-index of 13, ranking #1,992,389 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 Yi Xia

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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