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Researcher · Yangzhou University · China

Jipeng Qiang

Jipeng Qiang publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, on topics such as Topic Modeling, Natural Language Processing Techniques and Text Readability and Simplification.

ORCID 0000-0001-5721-0293 OpenAlex
World rank
#1,399,919
of 7,710,434 ranked researchers
Rank in China
#206,921
of 978,568
Works
132
Citations
1.5k
Citations per work
11.5
h-index
20
i10-index 35Top 13% in Artificial Intelligence
Jipeng Qiang

What does Jipeng Qiang research?

Jipeng Qiang's work is mostly in Computer Science (77%), Engineering (3%), Social Sciences (3%).

Physical Sciences: 106 works · 80.3% of their workComputer Science: 102 works · 76.9% of their workArtificial Intelligence: 69 works · 52.1% of their workComputer Vision and Pattern Recognition: 25 works · 19.3% of their workInformation Systems: 7 works · 5.5% of their workEngineering: 4 works · 3.4% of their workMedia Technology: 4 works · 3.4% of their workEverything else: 20 works · 14.8% of their workSocial Sciences: 3 works · 2.6% of their workSocial Sciences: 3 works · 2.6% of their workSociology and Political Science: 3 works · 2.6% of their workLife Sciences: 3 works · 2.3% of their workBiochemistry, Genetics and Molecular Biology: 3 works · 2.3% of their workMolecular Biology: 3 works · 2.3% of their workTHEIR WORKJipeng Qiang132works
Life Sciences2%Physical Sciences80%Social Sciences3%

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 Science10276.9%
    2. Engineering43.4%
  2. Everything else2014.8%
    1. Social Sciences32.6%
    1. Biochemistry, Genetics and Molecular Biology32.3%
  1. 1Artificial Intelligence52% of their works
  2. 2Computer Vision and Pattern Recognition19% of their works
  3. 3Information Systems6% of their works
  4. 4Media Technology3% of their works
  5. 5Sociology and Political Science3% of their works
  6. 6Molecular Biology2% of their works

Research topics

Which keywords describe Jipeng Qiang's research?

The keywords of their largest research topics: Neural Networks, Information Retrieval, Text Classification, Machine Translation, Word Representation, Neural Machine Translation, Statistical Machine Translation and Feature Selection.

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 21 words, with their numbers
  1. Neural Networks994 topics
  2. Information Retrieval702 topics
  3. Text Classification702 topics
  4. Machine Translation511 topic
  5. Word Representation511 topic
  6. Neural Machine Translation421 topic
  7. Statistical Machine Translation421 topic
  8. Feature Selection362 topics
  9. Sparse Representation282 topics
  10. Readability Assessment271 topic
  11. Text Simplification271 topic
  12. Multi-label Learning191 topic
  13. Naive Bayes Classifier191 topic
  14. Dimensionality Reduction171 topic
  15. Face Recognition171 topic
  16. Image111 topic
  17. Super-Resolution111 topic
  18. Automatic101 topic
  19. Domain Adaptation101 topic
  20. Extraction101 topic
  21. Transfer Learning101 topic

Where does Jipeng Qiang work?

Jipeng Qiang's main affiliation in the publication record is Yangzhou University, China.

How many publications and citations does Jipeng Qiang have?

OpenAlex counts 132 works and 1,522 citations for Jipeng Qiang, an h-index of 20, ranking #1,399,919 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

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