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Researcher · Baidu (China) · China

Dejing Dou

Dejing Dou publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications, on topics such as Privacy-Preserving Technologies in Data, Adversarial Robustness in Machine Learning and Topic Modeling.

ORCID 0000-0003-2949-6874 OpenAlex
World rank
#156,250
of 7,710,434 ranked researchers
Rank in China
#15,021
of 978,568
Works
177
Citations
4.8k
Citations per work
27.3
h-index
35
i10-index 95Top 3.1% in Artificial Intelligence
Dejing Dou

What does Dejing Dou research?

Dejing Dou's work is mostly in Computer Science (72%), Biochemistry, Genetics and Molecular Biology (4%), Engineering (2%).

Physical Sciences: 132 works · 74.5% of their workComputer Science: 128 works · 72.2% of their workArtificial Intelligence: 85 works · 48.0% of their workComputer Vision and Pattern Recognition: 29 works · 16.6% of their workComputer Networks and Communications: 7 works · 4.1% of their workInformation Systems: 6 works · 3.5% of their workEngineering: 4 works · 2.3% of their workElectrical and Electronic Engineering: 4 works · 2.3% of their workEverything else: 38 works · 21.6% of their workLife Sciences: 7 works · 3.9% of their workBiochemistry, Genetics and Molecular Biology: 7 works · 3.9% of their workMolecular Biology: 7 works · 3.9% of their workTHEIR WORKDejing Dou177works
Life Sciences4%Physical Sciences74%

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 Science12872.2%
    2. Engineering42.3%
  2. Everything else3821.6%
    1. Biochemistry, Genetics and Molecular Biology73.9%
  1. 1Artificial Intelligence48% of their works
  2. 2Computer Vision and Pattern Recognition17% of their works
  3. 3Computer Networks and Communications4% of their works
  4. 4Molecular Biology4% of their works
  5. 5Information Systems4% of their works
  6. 6Electrical and Electronic Engineering2% of their works

Research topics

Which keywords describe Dejing Dou's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Machine Learning, Representation Learning, Semi-Supervised Learning, Differential Privacy, Federated Learning and Adversarial Examples.

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 21 words, with their numbers
  1. Deep Learning824 topics
  2. Neural Networks663 topics
  3. Machine Learning602 topics
  4. Representation Learning452 topics
  5. Semi-Supervised Learning452 topics
  6. Differential Privacy331 topic
  7. Federated Learning331 topic
  8. Adversarial Examples271 topic
  9. Robustness271 topic
  10. Machine Translation251 topic
  11. Word Representation251 topic
  12. Domain Adaptation241 topic
  13. Transfer Learning241 topic
  14. Graph Neural Networks211 topic
  15. Knowledge Graph Embedding211 topic
  16. Convolutional Neural Networks201 topic
  17. Image Recognition201 topic
  18. Image Captioning141 topic
  19. Visual Question Answering141 topic
  20. Neural Machine Translation131 topic
  21. Statistical Machine Translation131 topic

Where does Dejing Dou work?

Dejing Dou's main affiliation in the publication record is Baidu (China), China.

How many publications and citations does Dejing Dou have?

OpenAlex counts 177 works and 4,828 citations for Dejing Dou, an h-index of 35, ranking #156,250 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 Dejing Dou

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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