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Researcher · Chungbuk National University · South Korea

Heon Gyu Lee

Heon Gyu Lee publishes mostly in Molecular Biology, Information Systems and Cardiology and Cardiovascular Medicine, on topics such as Data Mining Algorithms and Applications, Time Series Analysis and Forecasting and Energy Load and Power Forecasting.

ORCID 0000-0003-1139-0641 OpenAlex
World rank
#5,102,855
of 7,710,434 ranked researchers
Rank in South Korea
#91,072
of 162,609
Works
37
Citations
466
Citations per work
12.6
h-index
9
i10-index 9Top 82% in Molecular Biology
Heon Gyu Lee

What does Heon Gyu Lee research?

Heon Gyu Lee's work is mostly in Computer Science (20%), Biochemistry, Genetics and Molecular Biology (16%), Medicine (10%).

Everything else: 14 works · 37.8% of their workPhysical Sciences: 13 works · 35.7% of their workComputer Science: 8 works · 20.4% of their workInformation Systems: 4 works · 11.2% of their workSignal Processing: 3 works · 9.2% of their workEngineering: 3 works · 8.2% of their workElectrical and Electronic Engineering: 3 works · 8.2% of their workEnvironmental Science: 3 works · 7.1% of their workEcological Modeling: 3 works · 7.1% of their workLife Sciences: 6 works · 16.3% of their workBiochemistry, Genetics and Molecular Biology: 6 works · 16.3% of their workMolecular Biology: 6 works · 16.3% of their workHealth Sciences: 4 works · 10.2% of their workMedicine: 4 works · 10.2% of their workCardiology and Cardiovascular Medicine: 4 works · 10.2% of their workTHEIR WORKHeon Gyu Lee37works
Life Sciences16%Physical Sciences36%Health Sciences10%

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 else1437.8%
    1. Computer Science820.4%
    2. Engineering38.2%
    3. Environmental Science37.1%
    1. Biochemistry, Genetics and Molecular Biology616.3%
    1. Medicine410.2%
  1. 1Molecular Biology16% of their works
  2. 2Information Systems11% of their works
  3. 3Cardiology and Cardiovascular Medicine10% of their works
  4. 4Signal Processing9% of their works
  5. 5Electrical and Electronic Engineering8% of their works
  6. 6Ecological Modeling7% of their works

Research topics

Which keywords describe Heon Gyu Lee's research?

The keywords of their largest research topics: Machine Learning, Data Mining, Deep Learning, Association Rules, Frequent Patterns, Prediction, Protein and Analytic Hierarchy Process.

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 21 words, with their numbers
  1. Machine Learning213 topics
  2. Data Mining152 topics
  3. Deep Learning142 topics
  4. Association Rules101 topic
  5. Frequent Patterns101 topic
  6. Prediction102 topics
  7. Protein102 topics
  8. Analytic Hierarchy Process71 topic
  9. Clustering71 topic
  10. Electricity Price Forecasting71 topic
  11. Fuzzy Modeling71 topic
  12. Load Forecasting71 topic
  13. Time Series71 topic
  14. Amino Acid Composition61 topic
  15. Subcellular Localization61 topic
  16. Big Data Analytics51 topic
  17. Healthcare51 topic
  18. Molecular Dynamics41 topic
  19. Photoplethysmography41 topic
  20. Remote Monitoring41 topic
  21. Structure41 topic

Where does Heon Gyu Lee work?

Heon Gyu Lee's main affiliation in the publication record is Chungbuk National University, South Korea.

How many publications and citations does Heon Gyu Lee have?

OpenAlex counts 37 works and 466 citations for Heon Gyu Lee, an h-index of 9, ranking #5,102,855 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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