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Researcher · Central Police University · Taiwan

Peter Shaohua Deng

Peter Shaohua Deng publishes mostly in Artificial Intelligence, Management Information Systems and Information Systems, on topics such as Supply Chain and Inventory Management, Topic Modeling and Natural Language Processing Techniques.

OpenAlex
World rank
#2,649,731
of 7,710,434 ranked researchers
Rank in Taiwan
#17,318
of 57,035
Works
35
Citations
486
Citations per work
13.9
h-index
10
i10-index 11Top 42% in Artificial Intelligence
Peter Shaohua Deng

What does Peter Shaohua Deng research?

Peter Shaohua Deng's work is mostly in Computer Science (42%), Business, Management and Accounting (11%), Biochemistry, Genetics and Molecular Biology (6%).

Physical Sciences: 16 works · 46.9% of their workComputer Science: 15 works · 41.8% of their workArtificial Intelligence: 7 works · 21.4% of their workComputer Vision and Pattern Recognition: 4 works · 10.2% of their workInformation Systems: 4 works · 10.2% of their workEngineering: 2 works · 5.1% of their workControl and Systems Engineering: 2 works · 5.1% of their workEverything else: 13 works · 35.8% of their workSocial Sciences: 4 works · 11.2% of their workBusiness, Management and Accounting: 4 works · 11.2% of their workManagement Information Systems: 4 works · 11.2% of their workLife Sciences: 2 works · 6.1% of their workBiochemistry, Genetics and Molecular Biology: 2 works · 6.1% of their workMolecular Biology: 2 works · 6.1% of their workTHEIR WORKPeter ShaohuaDeng35works
Life Sciences6%Physical Sciences47%Social Sciences11%

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 Science1541.8%
    2. Engineering25.1%
  2. Everything else1335.8%
    1. Business, Management and Accounting411.2%
    1. Biochemistry, Genetics and Molecular Biology26.1%
  1. 1Artificial Intelligence21% of their works
  2. 2Management Information Systems11% of their works
  3. 3Information Systems10% of their works
  4. 4Computer Vision and Pattern Recognition10% of their works
  5. 5Molecular Biology6% of their works
  6. 6Control and Systems Engineering5% of their works

Research topics

Which keywords describe Peter Shaohua Deng's research?

The keywords of their largest research topics: Information Sharing, Supply Chain Coordination, Neural Networks, IoT Security, Machine Learning, Machine Translation, Word Representation 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 19 words, with their numbers
  1. Information Sharing91 topic
  2. Supply Chain Coordination91 topic
  3. Neural Networks82 topics
  4. IoT Security62 topics
  5. Machine Learning62 topics
  6. Machine Translation51 topic
  7. Word Representation51 topic
  8. Neural Machine Translation41 topic
  9. Statistical Machine Translation41 topic
  10. Aggregate Production Planning31 topic
  11. Android Malware31 topic
  12. Automatic31 topic
  13. Detection31 topic
  14. Extraction31 topic
  15. Fragmented Objects31 topic
  16. Fuzzy Goal Programming31 topic
  17. Intrusion Detection31 topic
  18. Network Security31 topic
  19. Reconstruction31 topic

Where does Peter Shaohua Deng work?

Peter Shaohua Deng's main affiliation in the publication record is Central Police University, Taiwan.

How many publications and citations does Peter Shaohua Deng have?

OpenAlex counts 35 works and 486 citations for Peter Shaohua Deng, an h-index of 10, ranking #2,649,731 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

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