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Researcher · East China Normal University · China

Sicheng Song

Sicheng Song publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology, on topics such as Data Visualization and Analytics, Genetic Neurodegenerative Diseases and Intelligent Tutoring Systems and Adaptive Learning.

ORCID 0000-0002-2158-0353 OpenAlex
World rank
#2,105,310
of 7,710,434 ranked researchers
Rank in China
#325,269
of 978,568
Works
47
Citations
657
Citations per work
14.0
h-index
11
i10-index 12Top 39% in Computer Vision and Pattern Recognition
Sicheng Song

What does Sicheng Song research?

Sicheng Song's work is mostly in Computer Science (30%), Biochemistry, Genetics and Molecular Biology (11%), Neuroscience (6%).

Everything else: 21 works · 43.8% of their workPhysical Sciences: 18 works · 39.2% of their workComputer Science: 14 works · 30.0% of their workComputer Vision and Pattern Recognition: 9 works · 18.5% of their workArtificial Intelligence: 5 works · 11.5% of their workEngineering: 3 works · 5.4% of their workElectrical and Electronic Engineering: 3 works · 5.4% of their workMaterials Science: 2 works · 3.8% of their workMaterials Chemistry: 2 works · 3.8% of their workLife Sciences: 8 works · 17.0% of their workBiochemistry, Genetics and Molecular Biology: 5 works · 10.8% of their workMolecular Biology: 5 works · 10.8% of their workNeuroscience: 3 works · 6.2% of their workCellular and Molecular Neuroscience: 3 works · 6.2% of their workTHEIR WORKSicheng Song47works
Life Sciences17%Physical Sciences39%

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 else2143.8%
    1. Computer Science1430.0%
    2. Engineering35.4%
    3. Materials Science23.8%
    1. Biochemistry, Genetics and Molecular Biology510.8%
    2. Neuroscience36.2%
  1. 1Computer Vision and Pattern Recognition18% of their works
  2. 2Artificial Intelligence12% of their works
  3. 3Molecular Biology11% of their works
  4. 4Cellular and Molecular Neuroscience6% of their works
  5. 5Electrical and Electronic Engineering5% of their works
  6. 6Materials Chemistry4% of their works

Research topics

Which keywords describe Sicheng Song's research?

The keywords of their largest research topics: Information Visualization, Visual Analytics, Mitochondrial Dysfunction, Huntington's Disease, Protein Aggregation, Affective States, Image Captioning and Intelligent Tutoring Systems.

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 17 words, with their numbers
  1. Information Visualization111 topic
  2. Visual Analytics111 topic
  3. Mitochondrial Dysfunction82 topics
  4. Huntington's Disease51 topic
  5. Protein Aggregation51 topic
  6. Affective States41 topic
  7. Image Captioning41 topic
  8. Intelligent Tutoring Systems41 topic
  9. Interpretable Models41 topic
  10. Machine Learning Interpretability41 topic
  11. Metacognition41 topic
  12. Self-Regulation41 topic
  13. Visual Question Answering41 topic
  14. Computational Thinking31 topic
  15. Mitochondria31 topic
  16. Programming Education31 topic
  17. Reactive Oxygen Species31 topic

Where does Sicheng Song work?

Sicheng Song's main affiliation in the publication record is East China Normal University, China.

How many publications and citations does Sicheng Song have?

OpenAlex counts 47 works and 657 citations for Sicheng Song, an h-index of 11, ranking #2,105,310 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.

Discussion

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