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Researcher · SIB Swiss Institute of Bioinformatics · Switzerland

Nianlong Gu

Nianlong Gu publishes mostly in Artificial Intelligence, Molecular Biology and Signal Processing, on topics such as Topic Modeling, Natural Language Processing Techniques and Advanced Text Analysis Techniques.

ORCID 0000-0002-8474-0836 OpenAlex
World rank
#2,030,237
of 7,710,434 ranked researchers
Rank in Switzerland
#32,181
of 80,918
Works
31
Citations
338
Citations per work
10.9
h-index
7
i10-index 5Top 65% in Artificial Intelligence
Nianlong Gu

What does Nianlong Gu research?

Nianlong Gu's work is mostly in Computer Science (67%), Biochemistry, Genetics and Molecular Biology (5%), Business, Management and Accounting (2%).

Physical Sciences: 21 works · 67.1% of their workComputer Science: 21 works · 67.1% of their workArtificial Intelligence: 20 works · 63.4% of their workSignal Processing: 1 works · 3.7% of their workEverything else: 6 works · 20.8% of their workSocial Sciences: 2 works · 7.2% of their workBusiness, Management and Accounting: 1 works · 2.4% of their workManagement Information Systems: 1 works · 2.4% of their workDecision Sciences: 1 works · 2.4% of their workInformation Systems and Management: 1 works · 2.4% of their workPsychology: 1 works · 2.4% of their workDevelopmental and Educational Psychology: 1 works · 2.4% of their workLife Sciences: 2 works · 4.9% of their workBiochemistry, Genetics and Molecular Biology: 2 works · 4.9% of their workMolecular Biology: 2 works · 4.9% of their workTHEIR WORKNianlong Gu31works
Life Sciences5%Physical Sciences67%Social Sciences7%

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 Science2167.1%
  2. Everything else620.8%
    1. Business, Management and Accounting12.4%
    2. Decision Sciences12.4%
    3. Psychology12.4%
    1. Biochemistry, Genetics and Molecular Biology24.9%
  1. 1Artificial Intelligence63% of their works
  2. 2Molecular Biology5% of their works
  3. 3Signal Processing4% of their works
  4. 4Management Information Systems2% of their works
  5. 5Information Systems and Management2% of their works
  6. 6Developmental and Educational Psychology2% of their works

Research topics

Which keywords describe Nianlong Gu's research?

The keywords of their largest research topics: Neural Networks, Machine Translation, Word Representation, Neural Machine Translation, Statistical Machine Translation, Automatic, Extraction and Data Integration.

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 20 words, with their numbers
  1. Neural Networks262 topics
  2. Machine Translation171 topic
  3. Word Representation171 topic
  4. Neural Machine Translation121 topic
  5. Statistical Machine Translation121 topic
  6. Automatic91 topic
  7. Extraction91 topic
  8. Data Integration62 topics
  9. Semantic Web62 topics
  10. Deep Neural Networks42 topics
  11. Biomedical Ontologies31 topic
  12. Linked Data31 topic
  13. Ontology31 topic
  14. Text Mining31 topic
  15. Acoustic Modeling21 topic
  16. Graph Neural Networks21 topic
  17. Interpretable Models21 topic
  18. Knowledge Graph Embedding21 topic
  19. Machine Learning Interpretability21 topic
  20. Speaker Verification21 topic

Where does Nianlong Gu work?

Nianlong Gu's main affiliation in the publication record is SIB Swiss Institute of Bioinformatics, Switzerland.

How many publications and citations does Nianlong Gu have?

OpenAlex counts 31 works and 338 citations for Nianlong Gu, an h-index of 7, ranking #2,030,237 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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