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Researcher · University of Science and Technology of China · China

Jingchang Liu

Jingchang Liu publishes mostly in Artificial Intelligence, Computational Mechanics and Neurology, on topics such as Stochastic Gradient Optimization Techniques, Privacy-Preserving Technologies in Data and Advanced Neural Network Applications.

OpenAlex
World rank
#6,940,030
of 7,710,434 ranked researchers
Rank in China
#927,892
of 978,568
Works
38
Citations
229
Citations per work
6.0
h-index
8
i10-index 5Top 56% in Artificial Intelligence
Jingchang Liu

What does Jingchang Liu research?

Jingchang Liu's work is mostly in Computer Science (29%), Engineering (12%), Neuroscience (9%).

Everything else: 16 works · 42.7% of their workPhysical Sciences: 15 works · 40.6% of their workComputer Science: 11 works · 29.1% of their workArtificial Intelligence: 8 works · 20.8% of their workComputer Vision and Pattern Recognition: 3 works · 8.3% of their workEngineering: 4 works · 11.5% of their workComputational Mechanics: 4 works · 11.5% of their workLife Sciences: 5 works · 12.5% of their workNeuroscience: 4 works · 9.4% of their workNeurology: 4 works · 9.4% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 3.1% of their workMolecular Biology: 1 works · 3.1% of their workHealth Sciences: 2 works · 4.2% of their workDentistry: 2 works · 4.2% of their workPeriodontics: 2 works · 4.2% of their workTHEIR WORKJingchang Liu38works
Life Sciences12%Physical Sciences41%Health Sciences4%

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 else1642.7%
    1. Computer Science1129.1%
    2. Engineering411.5%
    1. Neuroscience49.4%
    2. Biochemistry, Genetics and Molecular Biology13.1%
    1. Dentistry24.2%
  1. 1Artificial Intelligence21% of their works
  2. 2Computational Mechanics12% of their works
  3. 3Neurology9% of their works
  4. 4Computer Vision and Pattern Recognition8% of their works
  5. 5Periodontics4% of their works
  6. 6Molecular Biology3% of their works

Research topics

Which keywords describe Jingchang Liu's research?

The keywords of their largest research topics: Deep Learning, Convex Optimization, Random Projections, Stochastic Gradient Descent, Oxidative Stress, Convolutional Neural Networks, Differential Privacy and Federated Learning.

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 19 words, with their numbers
  1. Deep Learning152 topics
  2. Convex Optimization132 topics
  3. Random Projections101 topic
  4. Stochastic Gradient Descent101 topic
  5. Oxidative Stress72 topics
  6. Convolutional Neural Networks51 topic
  7. Differential Privacy51 topic
  8. Federated Learning51 topic
  9. Image Recognition51 topic
  10. Cerebral Hypoperfusion41 topic
  11. Oral Microbiome41 topic
  12. Periodontal Diseases41 topic
  13. Vascular Cognitive Impairment41 topic
  14. Cerebrolysin31 topic
  15. Citicoline31 topic
  16. Compressed Sensing31 topic
  17. Sparse Representation31 topic
  18. Turbulent Flows31 topic
  19. Vortex Dynamics31 topic

Where does Jingchang Liu work?

Jingchang Liu's main affiliation in the publication record is University of Science and Technology of China, China.

How many publications and citations does Jingchang Liu have?

OpenAlex counts 38 works and 229 citations for Jingchang Liu, an h-index of 8, ranking #6,940,030 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.

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