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Researcher · Gangneung–Wonju National University · South Korea

Sung-Phil Heo

Sung-Phil Heo publishes mostly in Signal Processing, Computer Vision and Pattern Recognition and Computer Networks and Communications, on topics such as Music and Audio Processing, Music Technology and Sound Studies and Speech and Audio Processing.

ORCID 0000-0001-6786-3300 OpenAlex
World rank
#7,288,876
of 7,710,434 ranked researchers
Rank in South Korea
#149,620
of 162,609
Works
25
Citations
74
Citations per work
3.0
h-index
5
i10-index 3Top 87% in Signal Processing
Sung-Phil Heo

What does Sung-Phil Heo research?

Sung-Phil Heo's work is mostly in Computer Science (46%), Engineering (4%).

Physical Sciences: 13 works · 50.6% of their workComputer Science: 12 works · 46.4% of their workSignal Processing: 4 works · 15.5% of their workComputer Vision and Pattern Recognition: 3 works · 11.3% of their workArtificial Intelligence: 2 works · 7.0% of their workComputer Networks and Communications: 2 works · 7.0% of their workInformation Systems: 1 works · 5.6% of their workEngineering: 1 works · 4.2% of their workBiomedical Engineering: 1 works · 4.2% of their workEverything else: 12 works · 49.4% of their workTHEIR WORKSung-Phil Heo25works
Physical Sciences51%

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 Science1246.4%
    2. Engineering14.2%
  2. Everything else1249.4%
  1. 1Signal Processing16% of their works
  2. 2Computer Vision and Pattern Recognition11% of their works
  3. 3Computer Networks and Communications7% of their works
  4. 4Artificial Intelligence7% of their works
  5. 5Information Systems6% of their works
  6. 6Biomedical Engineering4% of their works

Research topics

Which keywords describe Sung-Phil Heo's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Audio Signal Classification, Music Information Retrieval, Interactive Evolutionary Computation, Music Generation, Neural Networks and Audio-Visual Speech Recognition.

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 20 words, with their numbers
  1. Deep Learning133 topics
  2. Convolutional Neural Networks92 topics
  3. Audio Signal Classification71 topic
  4. Music Information Retrieval71 topic
  5. Interactive Evolutionary Computation61 topic
  6. Music Generation61 topic
  7. Neural Networks62 topics
  8. Audio-Visual Speech Recognition41 topic
  9. MAC Protocols42 topics
  10. Speech Enhancement41 topic
  11. Acoustic Modeling21 topic
  12. Anomaly Detection21 topic
  13. Deep Neural Networks21 topic
  14. Energy-Efficient Protocols21 topic
  15. Implantable Antennas21 topic
  16. Parallel Computing21 topic
  17. Performance Optimization21 topic
  18. Unsupervised21 topic
  19. Wireless Body Area Networks21 topic
  20. Wireless Sensor Networks21 topic

Where does Sung-Phil Heo work?

Sung-Phil Heo's main affiliation in the publication record is Gangneung–Wonju National University, South Korea.

How many publications and citations does Sung-Phil Heo have?

OpenAlex counts 25 works and 74 citations for Sung-Phil Heo, an h-index of 5, ranking #7,288,876 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.

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