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Researcher · Amazon (United States) · United States

Soji Adeshina

Soji Adeshina publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications, on topics such as Advanced Graph Neural Networks, Topic Modeling and Natural Language Processing Techniques.

ORCID 0000-0003-3945-3640 OpenAlex
World rank
#2,683,839
of 7,710,434 ranked researchers
Rank in United States
#783,615
of 1,627,098
Works
24
Citations
113
Citations per work
4.7
h-index
6
i10-index 4Top 74% in Artificial Intelligence
Soji Adeshina

What does Soji Adeshina research?

Soji Adeshina's work is mostly in Computer Science (90%), Materials Science (4%), Neuroscience (1%).

Physical Sciences: 23 works · 94.1% of their workComputer Science: 22 works · 89.8% of their workArtificial Intelligence: 18 works · 73.9% of their workComputer Vision and Pattern Recognition: 2 works · 8.7% of their workComputer Networks and Communications: 1 works · 5.8% of their workInformation Systems: 0 works · 1.4% of their workMaterials Science: 1 works · 4.3% of their workMaterials Chemistry: 1 works · 4.3% of their workEverything else: 1 works · 4.5% of their workLife Sciences: 0 works · 1.4% of their workNeuroscience: 0 works · 1.4% of their workCognitive Neuroscience: 0 works · 1.4% of their workTHEIR WORKSoji Adeshina24works
Life Sciences1%Physical Sciences94%

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 Science2289.8%
    2. Materials Science14.3%
  2. Everything else14.5%
    1. Neuroscience01.4%
  1. 1Artificial Intelligence74% of their works
  2. 2Computer Vision and Pattern Recognition9% of their works
  3. 3Computer Networks and Communications6% of their works
  4. 4Materials Chemistry4% of their works
  5. 5Information Systems1% of their works
  6. 6Cognitive Neuroscience1% of their works

Research topics

Which keywords describe Soji Adeshina's research?

The keywords of their largest research topics: Deep Learning, Representation Learning, Semi-Supervised Learning, Graph Neural Networks, Knowledge Graph Embedding, Neural Networks, Machine Translation and Word Representation.

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 Learning212 topics
  2. Representation Learning202 topics
  3. Semi-Supervised Learning202 topics
  4. Graph Neural Networks181 topic
  5. Knowledge Graph Embedding181 topic
  6. Neural Networks162 topics
  7. Machine Translation131 topic
  8. Word Representation131 topic
  9. Neural Machine Translation61 topic
  10. Statistical Machine Translation61 topic
  11. Image Captioning31 topic
  12. Interpretable Models31 topic
  13. Machine Learning31 topic
  14. Machine Learning Interpretability31 topic
  15. Materials Informatics31 topic
  16. Visual Question Answering31 topic
  17. Domain Adaptation21 topic
  18. Ontology21 topic
  19. Semantic Web21 topic
  20. Transfer Learning21 topic

Where does Soji Adeshina work?

Soji Adeshina's main affiliation in the publication record is Amazon (United States), United States.

How many publications and citations does Soji Adeshina have?

OpenAlex counts 24 works and 113 citations for Soji Adeshina, an h-index of 6, ranking #2,683,839 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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