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Researcher · Baidu (China) · China

Jiang Bian

Jiang Bian publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, on topics such as Topic Modeling, Natural Language Processing Techniques and Advanced Neural Network Applications.

ORCID 0000-0001-6997-1989 OpenAlex
World rank
#563,257
of 7,710,434 ranked researchers
Rank in China
#71,081
of 978,568
Works
154
Citations
3.6k
Citations per work
23.6
h-index
27
i10-index 47Top 6.4% in Artificial Intelligence
Jiang Bian

What does Jiang Bian research?

Jiang Bian's work is mostly in Computer Science (63%), Biochemistry, Genetics and Molecular Biology (3%), Engineering (3%).

Physical Sciences: 101 works · 65.4% of their workComputer Science: 96 works · 62.6% of their workArtificial Intelligence: 51 works · 33.2% of their workComputer Vision and Pattern Recognition: 23 works · 15.2% of their workInformation Systems: 14 works · 9.3% of their workComputer Networks and Communications: 8 works · 4.9% of their workEngineering: 4 works · 2.8% of their workElectrical and Electronic Engineering: 4 works · 2.8% of their workEverything else: 48 works · 31.3% of their workLife Sciences: 5 works · 3.3% of their workBiochemistry, Genetics and Molecular Biology: 5 works · 3.3% of their workMolecular Biology: 5 works · 3.3% of their workTHEIR WORKJiang Bian154works
Life Sciences3%Physical Sciences65%

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 Science9662.6%
    2. Engineering42.8%
  2. Everything else4831.3%
    1. Biochemistry, Genetics and Molecular Biology53.3%
  1. 1Artificial Intelligence33% of their works
  2. 2Computer Vision and Pattern Recognition15% of their works
  3. 3Information Systems9% of their works
  4. 4Computer Networks and Communications5% of their works
  5. 5Molecular Biology3% of their works
  6. 6Electrical and Electronic Engineering3% of their works

Research topics

Which keywords describe Jiang Bian's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Text Classification, Machine Translation, Word Representation, Meta-Learning, Convolutional Neural Networks and Image Recognition.

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 20 words, with their numbers
  1. Deep Learning343 topics
  2. Neural Networks322 topics
  3. Text Classification322 topics
  4. Machine Translation231 topic
  5. Word Representation231 topic
  6. Meta-Learning202 topics
  7. Convolutional Neural Networks151 topic
  8. Image Recognition151 topic
  9. Neural Machine Translation151 topic
  10. Statistical Machine Translation151 topic
  11. Domain Adaptation111 topic
  12. Transfer Learning111 topic
  13. Feature Matching101 topic
  14. Local Descriptors101 topic
  15. Collaborative Filtering91 topic
  16. Feature Selection91 topic
  17. Hyperparameter Optimization91 topic
  18. Matrix Factorization91 topic
  19. Multi-label Learning91 topic
  20. Noisy Labels91 topic

Where does Jiang Bian work?

Jiang Bian's main affiliation in the publication record is Baidu (China), China.

How many publications and citations does Jiang Bian have?

OpenAlex counts 154 works and 3,628 citations for Jiang Bian, an h-index of 27, ranking #563,257 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 Jiang Bian

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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