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Researcher · Cornell University · United States

Jing Nathan Yan

Jing Nathan Yan publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, on topics such as Topic Modeling, Natural Language Processing Techniques and Expert finding and Q&A systems.

ORCID 0009-0004-0157-5065 OpenAlex
World rank
#1,953,984
of 7,710,434 ranked researchers
Rank in United States
#594,906
of 1,627,098
Works
38
Citations
252
Citations per work
6.6
h-index
8
i10-index 7Top 56% in Artificial Intelligence
Jing Nathan Yan

What does Jing Nathan Yan research?

Jing Nathan Yan's work is mostly in Computer Science (67%), Engineering (2%), Social Sciences (2%).

Physical Sciences: 26 works · 69.5% of their workComputer Science: 26 works · 67.4% of their workArtificial Intelligence: 15 works · 40.0% of their workComputer Vision and Pattern Recognition: 5 works · 12.6% of their workInformation Systems: 4 works · 11.6% of their workSignal Processing: 1 works · 3.2% of their workEngineering: 1 works · 2.1% of their workComputational Mechanics: 1 works · 2.1% of their workEverything else: 11 works · 28.4% of their workSocial Sciences: 1 works · 2.1% of their workSocial Sciences: 1 works · 2.1% of their workSafety Research: 1 works · 2.1% of their workTHEIR WORKJing Nathan Yan38works
Physical Sciences70%Social Sciences2%

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 Science2667.4%
    2. Engineering12.1%
  2. Everything else1128.4%
    1. Social Sciences12.1%
  1. 1Artificial Intelligence40% of their works
  2. 2Computer Vision and Pattern Recognition13% of their works
  3. 3Information Systems12% of their works
  4. 4Signal Processing3% of their works
  5. 5Computational Mechanics2% of their works
  6. 6Safety Research2% of their works

Research topics

Which keywords describe Jing Nathan Yan's research?

The keywords of their largest research topics: Neural Networks, Machine Translation, Word Representation, Neural Machine Translation, Statistical Machine Translation, Deep Learning, Community Question Answering and Expert Finding.

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 18 words, with their numbers
  1. Neural Networks163 topics
  2. Machine Translation111 topic
  3. Word Representation111 topic
  4. Neural Machine Translation91 topic
  5. Statistical Machine Translation91 topic
  6. Deep Learning52 topics
  7. Community Question Answering41 topic
  8. Expert Finding41 topic
  9. GPS Trajectories31 topic
  10. Image Captioning31 topic
  11. Interpretable Models31 topic
  12. Machine Learning Interpretability31 topic
  13. Trajectory Data Mining31 topic
  14. Visual Question Answering31 topic
  15. Anomaly Detection21 topic
  16. Ontology21 topic
  17. Semantic Web21 topic
  18. Unsupervised21 topic

Where does Jing Nathan Yan work?

Jing Nathan Yan's main affiliation in the publication record is Cornell University, United States.

How many publications and citations does Jing Nathan Yan have?

OpenAlex counts 38 works and 252 citations for Jing Nathan Yan, an h-index of 8, ranking #1,953,984 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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