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Researcher · The Heart Research Institute · Australia

Yunjia Zhang

Yunjia Zhang publishes mostly in Immunology, Artificial Intelligence and Molecular Biology, on topics such as Neutrophil, Myeloperoxidase and Oxidative Mechanisms, Nitric Oxide and Endothelin Effects and Time Series Analysis and Forecasting.

ORCID 0000-0002-8067-3592 OpenAlex
World rank
#1,001,023
of 7,710,434 ranked researchers
Rank in Australia
#32,619
of 140,210
Works
84
Citations
1.3k
Citations per work
15.3
h-index
17
i10-index 31Top 40% in Immunology
Yunjia Zhang

What does Yunjia Zhang research?

Yunjia Zhang's work is mostly in Computer Science (11%), Immunology and Microbiology (7%), Biochemistry, Genetics and Molecular Biology (6%).

Everything else: 58 works · 69.1% of their workLife Sciences: 11 works · 12.6% of their workImmunology and Microbiology: 6 works · 7.0% of their workImmunology: 6 works · 7.0% of their workBiochemistry, Genetics and Molecular Biology: 5 works · 5.6% of their workMolecular Biology: 5 works · 5.6% of their workPhysical Sciences: 9 works · 10.8% of their workComputer Science: 9 works · 10.8% of their workArtificial Intelligence: 6 works · 6.6% of their workSignal Processing: 4 works · 4.2% of their workHealth Sciences: 4 works · 4.2% of their workMedicine: 4 works · 4.2% of their workPhysiology: 4 works · 4.2% of their workSocial Sciences: 3 works · 3.3% of their workDecision Sciences: 3 works · 3.3% of their workManagement Science and Operations Research: 3 works · 3.3% of their workTHEIR WORKYunjia Zhang84works
Life Sciences13%Physical Sciences11%Health Sciences4%Social Sciences3%

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 else5869.1%
    1. Immunology and Microbiology67.0%
    2. Biochemistry, Genetics and Molecular Biology55.6%
    1. Computer Science910.8%
    1. Medicine44.2%
    1. Decision Sciences33.3%
  1. 1Immunology7% of their works
  2. 2Artificial Intelligence7% of their works
  3. 3Molecular Biology6% of their works
  4. 4Signal Processing4% of their works
  5. 5Physiology4% of their works
  6. 6Management Science and Operations Research3% of their works

Research topics

Which keywords describe Yunjia Zhang's research?

The keywords of their largest research topics: Inflammation, Deep Learning, Reactive Oxygen Species, Immunity, Atherosclerosis, NADPH Oxidases, Neural Networks and Neutrophil Extracellular Traps.

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 22 words, with their numbers
  1. Inflammation194 topics
  2. Deep Learning154 topics
  3. Reactive Oxygen Species132 topics
  4. Immunity112 topics
  5. Atherosclerosis82 topics
  6. NADPH Oxidases81 topic
  7. Neural Networks82 topics
  8. Neutrophil Extracellular Traps81 topic
  9. Endothelial Dysfunction51 topic
  10. Nitric Oxide51 topic
  11. Clustering41 topic
  12. Electricity Price Forecasting41 topic
  13. Load Forecasting41 topic
  14. Stock Market Prediction41 topic
  15. Time Series41 topic
  16. Time Series Forecasting41 topic
  17. Activation31 topic
  18. Graph Neural Networks31 topic
  19. Immune Response31 topic
  20. Knowledge Graph Embedding31 topic
  21. Macrophage31 topic
  22. Oxidized LDL31 topic

Where does Yunjia Zhang work?

Yunjia Zhang's main affiliation in the publication record is The Heart Research Institute, Australia.

How many publications and citations does Yunjia Zhang have?

OpenAlex counts 84 works and 1,283 citations for Yunjia Zhang, an h-index of 17, ranking #1,001,023 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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