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Researcher · Tencent (China) · China

Shen Ge

Shen Ge publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications, on topics such as Topic Modeling, Multimodal Machine Learning Applications and Natural Language Processing Techniques.

ORCID 0000-0001-8992-1006 OpenAlex
World rank
#622,468
of 7,710,434 ranked researchers
Rank in China
#80,202
of 978,568
Works
46
Citations
2.1k
Citations per work
45.8
h-index
20
i10-index 31Top 13% in Artificial Intelligence
Shen Ge

What does Shen Ge research?

Shen Ge's work is mostly in Computer Science (70%), Biochemistry, Genetics and Molecular Biology (4%), Medicine (3%).

Physical Sciences: 32 works · 69.8% of their workComputer Science: 32 works · 69.8% of their workArtificial Intelligence: 17 works · 37.2% of their workComputer Vision and Pattern Recognition: 11 works · 23.3% of their workComputer Networks and Communications: 3 works · 6.2% of their workSignal Processing: 1 works · 3.1% of their workEverything else: 11 works · 23.2% of their workLife Sciences: 2 works · 3.9% of their workBiochemistry, Genetics and Molecular Biology: 2 works · 3.9% of their workMolecular Biology: 2 works · 3.9% of their workHealth Sciences: 1 works · 3.1% of their workMedicine: 1 works · 3.1% of their workRadiology, Nuclear Medicine and Imaging: 1 works · 3.1% of their workTHEIR WORKShen Ge46works
Life Sciences4%Physical Sciences70%Health 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. Computer Science3269.8%
  2. Everything else1123.2%
    1. Biochemistry, Genetics and Molecular Biology23.9%
    1. Medicine13.1%
  1. 1Artificial Intelligence37% of their works
  2. 2Computer Vision and Pattern Recognition23% of their works
  3. 3Computer Networks and Communications6% of their works
  4. 4Molecular Biology4% of their works
  5. 5Signal Processing3% of their works
  6. 6Radiology, Nuclear Medicine and Imaging3% of their works

Research topics

Which keywords describe Shen Ge's research?

The keywords of their largest research topics: Neural Networks, Deep Learning, Machine Translation, Word Representation, Image Captioning, Visual Question Answering, Neural Machine Translation and Statistical Machine Translation.

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. Neural Networks372 topics
  2. Deep Learning202 topics
  3. Machine Translation201 topic
  4. Word Representation201 topic
  5. Image Captioning171 topic
  6. Visual Question Answering171 topic
  7. Neural Machine Translation71 topic
  8. Statistical Machine Translation71 topic
  9. Domain Adaptation61 topic
  10. Transfer Learning61 topic
  11. Continuous Queries41 topic
  12. Data Stream Management41 topic
  13. GPS Trajectories41 topic
  14. Trajectory Data Mining41 topic
  15. Biomedical Ontologies31 topic
  16. Electronic Health Records31 topic
  17. Healthcare31 topic
  18. Text Mining31 topic

Where does Shen Ge work?

Shen Ge's main affiliation in the publication record is Tencent (China), China.

How many publications and citations does Shen Ge have?

OpenAlex counts 46 works and 2,105 citations for Shen Ge, an h-index of 20, ranking #622,468 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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