Hyun Kwon
Hyun Kwon publishes mostly in Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, on topics such as Adversarial Robustness in Machine Learning, Anomaly Detection Techniques and Applications and Advanced Malware Detection Techniques.
- World rank
- #2,515,996 of 7,710,434 ranked researchers
- Rank in South Korea
- #34,435 of 162,609
- Works
- 111
- Citations
- 1k
- Citations per work
- 9.4
What does Hyun Kwon research?
Hyun Kwon's work is mostly in Computer Science (81%), Engineering (5%).
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
- Physical Sciences9585.7%
- Computer Science9081.1%
- Engineering54.6%
- Everything else1614.3%
- 1Artificial Intelligence44% of their works
- 2Signal Processing13% of their works
- 3Computer Vision and Pattern Recognition12% of their works
- 4Information Systems8% of their works
- 5Electrical and Electronic Engineering5% of their works
- 6Computer Networks and Communications4% of their works
Research topics
- Adversarial Robustness in Machine Learning
- Anomaly Detection Techniques and Applications
- Advanced Malware Detection Techniques
- Network Security and Intrusion Detection
- Advanced Neural Network Applications
- Digital Media Forensic Detection
- Integrated Circuits and Semiconductor Failure Analysis
- Technology and Data Analysis
Which keywords describe Hyun Kwon's research?
The keywords of their largest research topics: Deep Learning, Machine Learning, Neural Networks, Adversarial Examples, Robustness, Anomaly Detection, IoT Security and Outlier Detection.
- Big Data
- Failure Analysis
- Image Forgery Detection
- Convolutional Neural Networks
- Intrusion Detection
- Android Malware
- Outlier Detection
- Anomaly Detection
- Adversarial Examples
- Machine Learning
- Deep Learning
- Neural Networks
- Robustness
- IoT Security
- Unsupervised
- Detection
- Network Security
- Digital Forensics
- Image Recognition
- Integrated Circuits
- Data Analysis
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
- Deep Learning1566 topics
- Machine Learning1114 topics
- Neural Networks1002 topics
- Adversarial Examples661 topic
- Robustness661 topic
- Anomaly Detection432 topics
- IoT Security402 topics
- Outlier Detection341 topic
- Unsupervised341 topic
- Android Malware311 topic
- Detection311 topic
- Intrusion Detection91 topic
- Network Security91 topic
- Convolutional Neural Networks81 topic
- Digital Forensics81 topic
- Image Forgery Detection81 topic
- Image Recognition81 topic
- Failure Analysis71 topic
- Integrated Circuits71 topic
- Big Data51 topic
- Data Analysis51 topic
Where does Hyun Kwon work?
Hyun Kwon's main affiliation in the publication record is Korea Military Academy, South Korea.
How many publications and citations does Hyun Kwon have?
OpenAlex counts 111 works and 1,042 citations for Hyun Kwon, an h-index of 18, ranking #2,515,996 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 Hyun Kwon. 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.