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Researcher · Ikerbasque · Spain

Jingjun Bi

Jingjun Bi publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, on topics such as Advanced Graph Neural Networks, Face and Expression Recognition and Imbalanced Data Classification Techniques.

ORCID 0000-0003-3802-7690 OpenAlex
World rank
#1,838,659
of 7,710,434 ranked researchers
Rank in Spain
#39,097
of 204,306
Works
23
Citations
514
Citations per work
22.3
h-index
8
i10-index 8Top 56% in Artificial Intelligence
Jingjun Bi

What does Jingjun Bi research?

Jingjun Bi's work is mostly in Computer Science (61%), Engineering (16%), Social Sciences (5%).

Physical Sciences: 18 works · 77.3% of their workComputer Science: 14 works · 61.2% of their workArtificial Intelligence: 7 works · 30.6% of their workComputer Vision and Pattern Recognition: 7 works · 30.6% of their workEngineering: 4 works · 16.1% of their workElectrical and Electronic Engineering: 2 works · 9.7% of their workCivil and Structural Engineering: 1 works · 3.2% of their workControl and Systems Engineering: 1 works · 3.2% of their workEverything else: 4 works · 17.9% of their workSocial Sciences: 1 works · 4.8% of their workSocial Sciences: 1 works · 4.8% of their workUrban Studies: 1 works · 4.8% of their workTHEIR WORKJingjun Bi23works
Physical Sciences77%Social Sciences5%

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 Science1461.2%
    2. Engineering416.1%
  2. Everything else417.9%
    1. Social Sciences14.8%
  1. 1Artificial Intelligence31% of their works
  2. 2Computer Vision and Pattern Recognition31% of their works
  3. 3Electrical and Electronic Engineering10% of their works
  4. 4Urban Studies5% of their works
  5. 5Civil and Structural Engineering3% of their works
  6. 6Control and Systems Engineering3% of their works

Research topics

Which keywords describe Jingjun Bi's research?

The keywords of their largest research topics: Deep Learning, Ensemble Methods, Feature Selection, Dimensionality Reduction, Face Recognition, Graph Neural Networks, Knowledge Graph Embedding and Classification.

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 Learning194 topics
  2. Ensemble Methods122 topics
  3. Feature Selection112 topics
  4. Dimensionality Reduction71 topic
  5. Face Recognition71 topic
  6. Graph Neural Networks71 topic
  7. Knowledge Graph Embedding71 topic
  8. Classification51 topic
  9. Imbalanced Data51 topic
  10. Electricity Theft41 topic
  11. Feature Matching41 topic
  12. Local Descriptors41 topic
  13. Multi-label Learning41 topic
  14. Object Tracking41 topic
  15. Smart Grids41 topic
  16. Text Classification41 topic
  17. Visual Tracking41 topic
  18. Spatial Network Analysis31 topic
  19. Urban Structure31 topic

Where does Jingjun Bi work?

Jingjun Bi's main affiliation in the publication record is Ikerbasque, Spain.

How many publications and citations does Jingjun Bi have?

OpenAlex counts 23 works and 514 citations for Jingjun Bi, an h-index of 8, ranking #1,838,659 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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