Science Explorer Back to mapMap
Discussion
Researcher · Carnegie Mellon University · United States

Eric P. Xing

Eric P. Xing publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology, on topics such as Topic Modeling, Domain Adaptation and Few-Shot Learning and Natural Language Processing Techniques.

ORCID 0009-0005-9158-4201 OpenAlex
World rank
#19,636
of 7,710,434 ranked researchers
Rank in United States
#7,133
of 1,627,098
Works
876
Citations
42k
Citations per work
47.7
h-index
97
i10-index 448Top 0.1% in Artificial Intelligence
Eric P. Xing

What does Eric P. Xing research?

Eric P. Xing's work is mostly in Computer Science (58%), Biochemistry, Genetics and Molecular Biology (16%), Mathematics (3%).

Physical Sciences: 545 works · 62.2% of their workComputer Science: 504 works · 57.5% of their workArtificial Intelligence: 351 works · 40.1% of their workComputer Vision and Pattern Recognition: 152 works · 17.4% of their workMathematics: 24 works · 2.7% of their workStatistics and Probability: 24 works · 2.7% of their workPhysics and Astronomy: 18 works · 2.0% of their workStatistical and Nonlinear Physics: 18 works · 2.0% of their workEverything else: 190 works · 21.7% of their workLife Sciences: 141 works · 16.1% of their workBiochemistry, Genetics and Molecular Biology: 141 works · 16.1% of their workMolecular Biology: 97 works · 11.1% of their workGenetics: 44 works · 5.0% of their workTHEIR WORKEric P. Xing876works
Life Sciences16%Physical Sciences62%

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 Science50457.5%
    2. Mathematics242.7%
    3. Physics and Astronomy182.0%
  2. Everything else19021.7%
    1. Biochemistry, Genetics and Molecular Biology14116.1%
  1. 1Artificial Intelligence40% of their works
  2. 2Computer Vision and Pattern Recognition17% of their works
  3. 3Molecular Biology11% of their works
  4. 4Genetics5% of their works
  5. 5Statistics and Probability3% of their works
  6. 6Statistical and Nonlinear Physics2% of their works

Research topics

Which keywords describe Eric P. Xing's research?

The keywords of their largest research topics: Neural Networks, Deep Learning, Machine Translation, Word Representation, Domain Adaptation, Transfer Learning, Neural Machine Translation and Statistical 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.

All 18 words, with their numbers
  1. Neural Networks2402 topics
  2. Deep Learning2183 topics
  3. Machine Translation1481 topic
  4. Word Representation1481 topic
  5. Domain Adaptation1151 topic
  6. Transfer Learning1151 topic
  7. Neural Machine Translation1141 topic
  8. Statistical Machine Translation1141 topic
  9. Image Captioning921 topic
  10. Visual Question Answering921 topic
  11. Feature Matching661 topic
  12. Local Descriptors661 topic
  13. Convolutional Neural Networks601 topic
  14. Image Recognition601 topic
  15. Gene Set Enrichment Analysis581 topic
  16. Protein-Protein Interaction Networks581 topic
  17. Gene Expression571 topic
  18. Microarray571 topic

Where does Eric P. Xing work?

Eric P. Xing's main affiliation in the publication record is Carnegie Mellon University, United States.

How many publications and citations does Eric P. Xing have?

OpenAlex counts 876 works and 41,761 citations for Eric P. Xing, an h-index of 97, ranking #19,636 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.

Discussion

Ask a question or share a note about Eric P. Xing. Posts are plain text and can be reported.