Science Explorer Back to mapMap
Discussion
Researcher · Amazon (United States) · United States

Sheng Zha

Sheng Zha publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, on topics such as Topic Modeling, Natural Language Processing Techniques and Stochastic Gradient Optimization Techniques.

OpenAlex
World rank
#2,479,722
of 7,710,434 ranked researchers
Rank in United States
#732,106
of 1,627,098
Works
49
Citations
746
Citations per work
15.2
h-index
13
i10-index 15Top 28% in Artificial Intelligence
Sheng Zha

What does Sheng Zha research?

Sheng Zha's work is mostly in Computer Science (78%), Decision Sciences (2%).

Physical Sciences: 38 works · 77.6% of their workComputer Science: 38 works · 77.6% of their workArtificial Intelligence: 27 works · 55.2% of their workComputer Vision and Pattern Recognition: 6 works · 11.9% of their workInformation Systems: 2 works · 4.9% of their workComputer Networks and Communications: 1 works · 2.8% of their workSoftware: 1 works · 2.8% of their workEverything else: 10 works · 20.3% of their workSocial Sciences: 1 works · 2.1% of their workDecision Sciences: 1 works · 2.1% of their workManagement Science and Operations Research: 1 works · 2.1% of their workTHEIR WORKSheng Zha49works
Physical Sciences78%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 Science3877.6%
  2. Everything else1020.3%
    1. Decision Sciences12.1%
  1. 1Artificial Intelligence55% of their works
  2. 2Computer Vision and Pattern Recognition12% of their works
  3. 3Information Systems5% of their works
  4. 4Software3% of their works
  5. 5Computer Networks and Communications3% of their works
  6. 6Management Science and Operations Research2% of their works

Research topics

Which keywords describe Sheng Zha's research?

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

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 Networks323 topics
  2. Deep Learning304 topics
  3. Machine Translation151 topic
  4. Word Representation151 topic
  5. Semi-Supervised Learning142 topics
  6. Image Classification132 topics
  7. Machine Learning122 topics
  8. Neural Machine Translation121 topic
  9. Statistical Machine Translation121 topic
  10. Random Projections101 topic
  11. Stochastic Gradient Descent101 topic
  12. Domain Adaptation91 topic
  13. Transfer Learning91 topic
  14. Convolutional Neural Networks81 topic
  15. Image Recognition81 topic
  16. Differential Privacy71 topic
  17. Federated Learning71 topic
  18. Image Captioning71 topic
  19. Visual Question Answering71 topic
  20. Active Learning51 topic
  21. Gaussian Processes51 topic

Where does Sheng Zha work?

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

How many publications and citations does Sheng Zha have?

OpenAlex counts 49 works and 746 citations for Sheng Zha, an h-index of 13, ranking #2,479,722 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

Ask a question or share a note about Sheng Zha. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.