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Researcher · Macao Polytechnic University · China

Keyan Jin

Keyan Jin publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Inorganic Chemistry, on topics such as Topic Modeling, Multimodal Machine Learning Applications and Zeolite Catalysis and Synthesis.

ORCID 0009-0004-9783-8818 OpenAlex
World rank
#1,472,966
of 7,710,434 ranked researchers
Rank in China
#219,245
of 978,568
Works
55
Citations
262
Citations per work
4.8
h-index
9
i10-index 9Top 49% in Artificial Intelligence
Keyan Jin

What does Keyan Jin research?

Keyan Jin's work is mostly in Computer Science (46%), Chemistry (5%), Economics, Econometrics and Finance (4%).

Physical Sciences: 30 works · 54.0% of their workComputer Science: 25 works · 45.9% of their workArtificial Intelligence: 18 works · 32.1% of their workComputer Vision and Pattern Recognition: 8 works · 13.8% of their workChemistry: 3 works · 5.0% of their workInorganic Chemistry: 3 works · 5.0% of their workMaterials Science: 2 works · 3.1% of their workMaterials Chemistry: 2 works · 3.1% of their workEverything else: 21 works · 38.5% of their workSocial Sciences: 4 works · 7.5% of their workEconomics, Econometrics and Finance: 2 works · 4.4% of their workEconomics and Econometrics: 2 works · 4.4% of their workSocial Sciences: 2 works · 3.1% of their workSociology and Political Science: 2 works · 3.1% of their workTHEIR WORKKeyan Jin55works
Physical Sciences54%Social Sciences8%

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 Science2545.9%
    2. Chemistry35.0%
    3. Materials Science23.1%
  2. Everything else2138.5%
    1. Economics, Econometrics and Finance24.4%
    2. Social Sciences23.1%
  1. 1Artificial Intelligence32% of their works
  2. 2Computer Vision and Pattern Recognition14% of their works
  3. 3Inorganic Chemistry5% of their works
  4. 4Economics and Econometrics4% of their works
  5. 5Sociology and Political Science3% of their works
  6. 6Materials Chemistry3% of their works

Research topics

Which keywords describe Keyan Jin's research?

The keywords of their largest research topics: Neural Networks, Deep Learning, Machine Translation, Word Representation, Image Captioning, Visual Question Answering, Catalysis and Zeolites.

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 Networks325 topics
  2. Deep Learning163 topics
  3. Machine Translation121 topic
  4. Word Representation121 topic
  5. Image Captioning81 topic
  6. Visual Question Answering81 topic
  7. Catalysis61 topic
  8. Zeolites61 topic
  9. Neural Machine Translation51 topic
  10. Statistical Machine Translation51 topic
  11. Adversarial Examples41 topic
  12. Automatic41 topic
  13. Extraction41 topic
  14. Markov Decision Processes41 topic
  15. Robustness41 topic
  16. Spoken Dialogue Systems41 topic
  17. Stock Market Prediction41 topic
  18. Time Series Forecasting41 topic

Where does Keyan Jin work?

Keyan Jin's main affiliation in the publication record is Macao Polytechnic University, China.

How many publications and citations does Keyan Jin have?

OpenAlex counts 55 works and 262 citations for Keyan Jin, an h-index of 9, ranking #1,472,966 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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