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Researcher · Kean University · United States

Daehan Kwak

Daehan Kwak publishes mostly in Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering, on topics such as Sentiment Analysis and Opinion Mining, IoT and Edge/Fog Computing and Wireless Body Area Networks.

ORCID 0000-0001-5614-0190 OpenAlex
World rank
#417,808
of 7,710,434 ranked researchers
Rank in United States
#147,621
of 1,627,098
Works
115
Citations
5.7k
Citations per work
49.8
h-index
23
i10-index 36Top 9.4% in Artificial Intelligence
Daehan Kwak

What does Daehan Kwak research?

Daehan Kwak's work is mostly in Computer Science (44%), Engineering (12%).

Physical Sciences: 65 works · 56.4% of their workComputer Science: 51 works · 44.0% of their workArtificial Intelligence: 19 works · 16.9% of their workComputer Networks and Communications: 15 works · 13.4% of their workComputer Vision and Pattern Recognition: 10 works · 8.5% of their workInformation Systems: 6 works · 5.2% of their workEngineering: 14 works · 12.4% of their workElectrical and Electronic Engineering: 10 works · 8.8% of their workBiomedical Engineering: 4 works · 3.6% of their workEverything else: 50 works · 43.6% of their workTHEIR WORKDaehan Kwak115works
Physical Sciences56%

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 Science5144.0%
    2. Engineering1412.4%
  2. Everything else5043.6%
  1. 1Artificial Intelligence17% of their works
  2. 2Computer Networks and Communications13% of their works
  3. 3Electrical and Electronic Engineering9% of their works
  4. 4Computer Vision and Pattern Recognition8% of their works
  5. 5Information Systems5% of their works
  6. 6Biomedical Engineering4% of their works

Research topics

Which keywords describe Daehan Kwak's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Security and Privacy, Neural Networks, Opinion Mining, Sentiment Analysis, Edge Computing and Internet of Things.

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 20 words, with their numbers
  1. Deep Learning263 topics
  2. Machine Learning213 topics
  3. Security and Privacy192 topics
  4. Neural Networks112 topics
  5. Opinion Mining111 topic
  6. Sentiment Analysis111 topic
  7. Edge Computing101 topic
  8. Internet of Things101 topic
  9. Implantable Antennas91 topic
  10. Wireless Body Area Networks91 topic
  11. DSRC Standards71 topic
  12. Vehicular Ad Hoc Networks71 topic
  13. Delay-Tolerant Networks61 topic
  14. Machine Translation61 topic
  15. Mobile Ad Hoc Networks61 topic
  16. Word Representation61 topic
  17. Adversarial Examples51 topic
  18. Differential Privacy51 topic
  19. Federated Learning51 topic
  20. Robustness51 topic

Where does Daehan Kwak work?

Daehan Kwak's main affiliation in the publication record is Kean University, United States.

How many publications and citations does Daehan Kwak have?

OpenAlex counts 115 works and 5,727 citations for Daehan Kwak, an h-index of 23, ranking #417,808 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.

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