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Researcher · Ansys (United States) · United States

Diane J. Hu

Diane J. Hu publishes mostly in Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, on topics such as Recommender Systems and Techniques, Consumer Market Behavior and Pricing and Topic Modeling.

OpenAlex
World rank
#1,943,981
of 7,710,434 ranked researchers
Rank in United States
#592,192
of 1,627,098
Works
23
Citations
515
Citations per work
22.4
h-index
10
i10-index 10Top 42% in Artificial Intelligence
Diane J. Hu

What does Diane J. Hu research?

Diane J. Hu's work is mostly in Computer Science (59%), Business, Management and Accounting (7%), Decision Sciences (6%).

Physical Sciences: 14 works · 58.8% of their workComputer Science: 14 works · 58.8% of their workArtificial Intelligence: 5 works · 22.1% of their workInformation Systems: 4 works · 19.1% of their workComputer Vision and Pattern Recognition: 2 works · 8.8% of their workSignal Processing: 2 works · 8.8% of their workEverything else: 6 works · 27.9% of their workSocial Sciences: 3 works · 13.3% of their workBusiness, Management and Accounting: 2 works · 7.4% of their workMarketing: 2 works · 7.4% of their workDecision Sciences: 1 works · 5.9% of their workManagement Science and Operations Research: 1 works · 5.9% of their workTHEIR WORKDiane J. Hu23works
Physical Sciences59%Social Sciences13%

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 Science1458.8%
  2. Everything else627.9%
    1. Business, Management and Accounting27.4%
    2. Decision Sciences15.9%
  1. 1Artificial Intelligence22% of their works
  2. 2Information Systems19% of their works
  3. 3Computer Vision and Pattern Recognition9% of their works
  4. 4Signal Processing9% of their works
  5. 5Marketing7% of their works
  6. 6Management Science and Operations Research6% of their works

Research topics

Which keywords describe Diane J. Hu's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Collaborative Filtering, Matrix Factorization, Marketing Strategies, Retail Economics, Audio Signal Classification and Bandit Optimization.

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 18 words, with their numbers
  1. Deep Learning173 topics
  2. Neural Networks142 topics
  3. Collaborative Filtering101 topic
  4. Matrix Factorization101 topic
  5. Marketing Strategies51 topic
  6. Retail Economics51 topic
  7. Audio Signal Classification41 topic
  8. Bandit Optimization41 topic
  9. Bayesian Optimization41 topic
  10. Interactive Evolutionary Computation41 topic
  11. Machine Translation41 topic
  12. Music Generation41 topic
  13. Music Information Retrieval41 topic
  14. Word Representation41 topic
  15. Graph Neural Networks31 topic
  16. Knowledge Graph Embedding31 topic
  17. Interpretable Models21 topic
  18. Machine Learning Interpretability21 topic

Where does Diane J. Hu work?

Diane J. Hu's main affiliation in the publication record is Ansys (United States), United States.

How many publications and citations does Diane J. Hu have?

OpenAlex counts 23 works and 515 citations for Diane J. Hu, an h-index of 10, ranking #1,943,981 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.

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