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Researcher · Google (United States) · United States

Nan Ding

Nan Ding publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications, on topics such as Topic Modeling, Natural Language Processing Techniques and Multimodal Machine Learning Applications.

ORCID 0000-0002-4876-6553 OpenAlex
World rank
#1,775,595
of 7,710,434 ranked researchers
Rank in United States
#546,474
of 1,627,098
Works
65
Citations
2.9k
Citations per work
44.7
h-index
16
i10-index 19Top 20% in Artificial Intelligence
Nan Ding

What does Nan Ding research?

Nan Ding's work is mostly in Computer Science (72%), Engineering (7%).

Physical Sciences: 51 works · 78.9% of their workComputer Science: 47 works · 71.9% of their workArtificial Intelligence: 29 works · 44.3% of their workComputer Vision and Pattern Recognition: 9 works · 14.1% of their workComputer Networks and Communications: 6 works · 8.6% of their workInformation Systems: 3 works · 4.9% of their workEngineering: 5 works · 7.0% of their workControl and Systems Engineering: 3 works · 4.3% of their workElectrical and Electronic Engineering: 2 works · 2.7% of their workEverything else: 14 works · 21.1% of their workTHEIR WORKNan Ding65works
Physical Sciences79%

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 Science4771.9%
    2. Engineering57.0%
  2. Everything else1421.1%
  1. 1Artificial Intelligence44% of their works
  2. 2Computer Vision and Pattern Recognition14% of their works
  3. 3Computer Networks and Communications9% of their works
  4. 4Information Systems5% of their works
  5. 5Control and Systems Engineering4% of their works
  6. 6Electrical and Electronic Engineering3% of their works

Research topics

Which keywords describe Nan Ding's research?

The keywords of their largest research topics: Neural Networks, Machine Translation, Word Representation, Deep Learning, Meta-Learning, Neural Machine Translation, Statistical Machine Translation and Image Captioning.

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. Neural Networks292 topics
  2. Machine Translation181 topic
  3. Word Representation181 topic
  4. Deep Learning162 topics
  5. Meta-Learning142 topics
  6. Neural Machine Translation131 topic
  7. Statistical Machine Translation131 topic
  8. Image Captioning111 topic
  9. Visual Question Answering111 topic
  10. Deep Neural Networks102 topics
  11. Hidden Markov Models102 topics
  12. Domain Adaptation81 topic
  13. Transfer Learning81 topic
  14. Clustering61 topic
  15. Hyperparameter Optimization61 topic
  16. Mixture Models61 topic
  17. Noisy Labels61 topic
  18. Feature Matching51 topic
  19. Local Descriptors51 topic
  20. Acoustic Modeling41 topic
  21. Speaker Verification41 topic

Where does Nan Ding work?

Nan Ding's main affiliation in the publication record is Google (United States), United States.

How many publications and citations does Nan Ding have?

OpenAlex counts 65 works and 2,904 citations for Nan Ding, an h-index of 16, ranking #1,775,595 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 Nan Ding

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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