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Researcher · Tencent (China) · China

Fen Lin

Fen Lin publishes mostly in Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, on topics such as Topic Modeling, Natural Language Processing Techniques and Advanced Graph Neural Networks.

ORCID 0009-0008-8728-3475 OpenAlex
World rank
#551,928
of 7,710,434 ranked researchers
Rank in China
#69,371
of 978,568
Works
44
Citations
823
Citations per work
18.7
h-index
15
i10-index 19Top 22% in Artificial Intelligence
Fen Lin

What does Fen Lin research?

Fen Lin's work is mostly in Computer Science (78%), Decision Sciences (7%), Health Professions (2%).

Physical Sciences: 34 works · 77.9% of their workComputer Science: 34 works · 77.9% of their workArtificial Intelligence: 27 works · 60.6% of their workInformation Systems: 4 works · 9.4% of their workComputer Vision and Pattern Recognition: 3 works · 7.9% of their workEverything else: 5 works · 11.8% of their workSocial Sciences: 4 works · 8.7% of their workDecision Sciences: 3 works · 7.1% of their workManagement Science and Operations Research: 3 works · 7.1% of their workSocial Sciences: 1 works · 1.6% of their workSociology and Political Science: 1 works · 1.6% of their workHealth Sciences: 1 works · 1.6% of their workHealth Professions: 1 works · 1.6% of their workGeneral Health Professions: 1 works · 1.6% of their workTHEIR WORKFen Lin44works
Physical Sciences78%Health Sciences2%Social Sciences9%

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 Science3477.9%
  2. Everything else511.8%
    1. Decision Sciences37.1%
    2. Social Sciences11.6%
    1. Health Professions11.6%
  1. 1Artificial Intelligence61% of their works
  2. 2Information Systems9% of their works
  3. 3Computer Vision and Pattern Recognition8% of their works
  4. 4Management Science and Operations Research7% of their works
  5. 5General Health Professions2% of their works
  6. 6Sociology and Political Science2% of their works

Research topics

Which keywords describe Fen Lin's research?

The keywords of their largest research topics: Neural Networks, Machine Translation, Word Representation, Deep Learning, Neural Machine Translation, Statistical Machine Translation, Graph Neural Networks and Knowledge Graph Embedding.

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 18 words, with their numbers
  1. Neural Networks393 topics
  2. Machine Translation281 topic
  3. Word Representation281 topic
  4. Deep Learning203 topics
  5. Neural Machine Translation171 topic
  6. Statistical Machine Translation171 topic
  7. Graph Neural Networks91 topic
  8. Knowledge Graph Embedding91 topic
  9. Acoustic Modeling71 topic
  10. Deep Neural Networks71 topic
  11. Image Captioning61 topic
  12. Visual Question Answering61 topic
  13. Collaborative Filtering51 topic
  14. Data Cleaning51 topic
  15. Markov Decision Processes51 topic
  16. Matrix Factorization51 topic
  17. Record Linkage51 topic
  18. Spoken Dialogue Systems51 topic

Where does Fen Lin work?

Fen Lin's main affiliation in the publication record is Tencent (China), China.

How many publications and citations does Fen Lin have?

OpenAlex counts 44 works and 823 citations for Fen Lin, an h-index of 15, ranking #551,928 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.

Other researchers named Fen Lin

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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