Science Explorer Back to mapMap
Discussion
Researcher · Yonsei University · South Korea

Seng Chan You

Seng Chan You publishes mostly in Cardiology and Cardiovascular Medicine, Epidemiology and Radiology, Nuclear Medicine and Imaging, on topics such as Atrial Fibrillation Management and Outcomes, COVID-19 Clinical Research Studies and Machine Learning in Healthcare.

ORCID 0000-0002-5052-6399 OpenAlex
World rank
#146,650
of 7,710,434 ranked researchers
Rank in South Korea
#777
of 162,609
Works
273
Citations
5k
Citations per work
18.3
h-index
38
i10-index 102Top 5.9% in Cardiology and Cardiovascular Medicine
Seng Chan You

What does Seng Chan You research?

Seng Chan You's work is mostly in Medicine (44%), Computer Science (5%).

Everything else: 140 works · 51.1% of their workHealth Sciences: 120 works · 43.9% of their workMedicine: 120 works · 43.9% of their workCardiology and Cardiovascular Medicine: 60 works · 22.1% of their workEpidemiology: 17 works · 6.2% of their workRadiology, Nuclear Medicine and Imaging: 15 works · 5.5% of their workInfectious Diseases: 14 works · 5.1% of their workSurgery: 14 works · 5.0% of their workPhysical Sciences: 14 works · 5.0% of their workComputer Science: 14 works · 5.0% of their workArtificial Intelligence: 14 works · 5.0% of their workTHEIR WORKSeng Chan You273works
Physical Sciences5%Health Sciences44%

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 else14051.1%
    1. Medicine12043.9%
    1. Computer Science145.0%
  1. 1Cardiology and Cardiovascular Medicine22% of their works
  2. 2Epidemiology6% of their works
  3. 3Radiology, Nuclear Medicine and Imaging6% of their works
  4. 4Infectious Diseases5% of their works
  5. 5Surgery5% of their works
  6. 6Artificial Intelligence5% of their works

Research topics

Which keywords describe Seng Chan You's research?

The keywords of their largest research topics: Healthcare, Precision Medicine, Deep Learning, Electronic Health Records, Cardiovascular Events, Anticoagulant Therapy, Atrial Fibrillation and Clinical Characteristics.

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 21 words, with their numbers
  1. Healthcare422 topics
  2. Precision Medicine422 topics
  3. Deep Learning392 topics
  4. Electronic Health Records392 topics
  5. Cardiovascular Events372 topics
  6. Anticoagulant Therapy331 topic
  7. Atrial Fibrillation331 topic
  8. Clinical Characteristics301 topic
  9. SARS-CoV-2301 topic
  10. Patient Similarity251 topic
  11. Predictive Modeling251 topic
  12. Aspirin231 topic
  13. Clopidogrel231 topic
  14. Artificial Intelligence171 topic
  15. Machine Learning171 topic
  16. Arrhythmia Detection141 topic
  17. Blood Pressure141 topic
  18. Clinical Decision Support Systems141 topic
  19. ECG Signal141 topic
  20. Health Information Exchange141 topic
  21. Hypertension141 topic

Where does Seng Chan You work?

Seng Chan You's main affiliation in the publication record is Yonsei University, South Korea.

How many publications and citations does Seng Chan You have?

OpenAlex counts 273 works and 5,002 citations for Seng Chan You, an h-index of 38, ranking #146,650 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

Ask a question or share a note about Seng Chan You. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.