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Researcher · Nvidia (United States) · United States

Jocelyn Huang

Jocelyn Huang publishes mostly in Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, on topics such as Speech Recognition and Synthesis, Music and Audio Processing and Topic Modeling.

ORCID 0009-0008-4107-0431 OpenAlex
World rank
#4,335,458
of 7,710,434 ranked researchers
Rank in United States
#1,163,079
of 1,627,098
Works
22
Citations
567
Citations per work
25.8
h-index
7
i10-index 7Top 65% in Artificial Intelligence
Jocelyn Huang

What does Jocelyn Huang research?

Jocelyn Huang's work is mostly in Computer Science (81%), Medicine (6%).

Physical Sciences: 18 works · 81.2% of their workComputer Science: 18 works · 81.2% of their workArtificial Intelligence: 9 works · 42.2% of their workSignal Processing: 4 works · 20.3% of their workComputer Vision and Pattern Recognition: 2 works · 10.9% of their workInformation Systems: 1 works · 4.7% of their workSoftware: 1 works · 3.1% of their workEverything else: 3 works · 12.5% of their workHealth Sciences: 1 works · 6.3% of their workMedicine: 1 works · 6.3% of their workPediatrics, Perinatology and Child Health: 1 works · 6.3% of their workTHEIR WORKJocelyn Huang22works
Physical Sciences81%Health Sciences6%

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 Science1881.2%
  2. Everything else312.5%
    1. Medicine16.3%
  1. 1Artificial Intelligence42% of their works
  2. 2Signal Processing20% of their works
  3. 3Computer Vision and Pattern Recognition11% of their works
  4. 4Pediatrics, Perinatology and Child Health6% of their works
  5. 5Information Systems5% of their works
  6. 6Software3% of their works

Research topics

Which keywords describe Jocelyn Huang's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Convolutional Neural Networks, Deep Neural Networks, Acoustic Modeling, Speaker Verification, Audio Signal Classification and Music Information Retrieval.

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 Learning194 topics
  2. Neural Networks184 topics
  3. Convolutional Neural Networks162 topics
  4. Deep Neural Networks142 topics
  5. Acoustic Modeling91 topic
  6. Speaker Verification91 topic
  7. Audio Signal Classification71 topic
  8. Music Information Retrieval71 topic
  9. Audio-Visual Speech Recognition61 topic
  10. Machine Translation61 topic
  11. Speech Enhancement61 topic
  12. Word Representation61 topic
  13. Interpretable Models51 topic
  14. Machine Learning Interpretability51 topic
  15. Neural Machine Translation51 topic
  16. Statistical Machine Translation51 topic
  17. Image Captioning41 topic
  18. Visual Question Answering41 topic
  19. Generative Adversarial Networks21 topic
  20. Image Synthesis21 topic

Where does Jocelyn Huang work?

Jocelyn Huang's main affiliation in the publication record is Nvidia (United States), United States.

How many publications and citations does Jocelyn Huang have?

OpenAlex counts 22 works and 567 citations for Jocelyn Huang, an h-index of 7, ranking #4,335,458 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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