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Researcher · Korea Post · South Korea

Yejin Jeon

Yejin Jeon publishes mostly in Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, on topics such as Speech Recognition and Synthesis, Speech and Audio Processing and Cancer, Stress, Anesthesia, and Immune Response.

ORCID 0000-0002-0077-9232 OpenAlex
World rank
#5,176,184
of 7,710,434 ranked researchers
Rank in South Korea
#92,873
of 162,609
Works
36
Citations
134
Citations per work
3.7
h-index
6
i10-index 4Top 74% in Artificial Intelligence
Yejin Jeon

What does Yejin Jeon research?

Yejin Jeon's work is mostly in Computer Science (39%), Medicine (9%), Engineering (4%).

Everything else: 17 works · 47.8% of their workPhysical Sciences: 16 works · 43.3% of their workComputer Science: 14 works · 38.9% of their workArtificial Intelligence: 7 works · 20.0% of their workSignal Processing: 4 works · 10.0% of their workComputer Vision and Pattern Recognition: 3 works · 8.9% of their workEngineering: 2 works · 4.4% of their workBiomedical Engineering: 2 works · 4.4% of their workHealth Sciences: 3 works · 8.9% of their workMedicine: 3 works · 8.9% of their workPsychiatry and Mental health: 2 works · 5.6% of their workSurgery: 1 works · 3.3% of their workTHEIR WORKYejin Jeon36works
Physical Sciences43%Health 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. Everything else1747.8%
    1. Computer Science1438.9%
    2. Engineering24.4%
    1. Medicine38.9%
  1. 1Artificial Intelligence20% of their works
  2. 2Signal Processing10% of their works
  3. 3Computer Vision and Pattern Recognition9% of their works
  4. 4Psychiatry and Mental health6% of their works
  5. 5Biomedical Engineering4% of their works
  6. 6Surgery3% of their works

Research topics

Which keywords describe Yejin Jeon's research?

The keywords of their largest research topics: Convolutional Neural Networks, Deep Learning, Neural Networks, Acoustic Modeling, Deep Neural Networks, Audio-Visual Speech Recognition, Chronic Stress and Speech Enhancement.

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. Convolutional Neural Networks112 topics
  2. Deep Learning92 topics
  3. Neural Networks82 topics
  4. Acoustic Modeling71 topic
  5. Deep Neural Networks71 topic
  6. Audio-Visual Speech Recognition51 topic
  7. Chronic Stress51 topic
  8. Speech Enhancement51 topic
  9. Tumor Growth51 topic
  10. Audio Signal Classification41 topic
  11. Markov Decision Processes41 topic
  12. Music Information Retrieval41 topic
  13. Spoken Dialogue Systems41 topic
  14. Machine Translation31 topic
  15. Word Representation31 topic
  16. Anesthesia21 topic
  17. Neuropeptides21 topic
  18. Neurotoxicity21 topic
  19. Receptors21 topic

Where does Yejin Jeon work?

Yejin Jeon's main affiliation in the publication record is Korea Post, South Korea.

How many publications and citations does Yejin Jeon have?

OpenAlex counts 36 works and 134 citations for Yejin Jeon, an h-index of 6, ranking #5,176,184 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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