Dae-Ki Kang
Dae-Ki Kang publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, on topics such as Imbalanced Data Classification Techniques, Anomaly Detection Techniques and Applications and Advanced Neural Network Applications.
- World rank
- #1,971,042 of 7,710,434 ranked researchers
- Rank in South Korea
- #24,605 of 162,609
- Works
- 138
- Citations
- 1.8k
- Citations per work
- 13.2
What does Dae-Ki Kang research?
Dae-Ki Kang's work is mostly in Computer Science (64%), Social Sciences (3%).
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 Sciences8863.9%
- Computer Science8863.9%
- Everything else4532.7%
- Social Sciences53.4%
- Social Sciences53.4%
- 1Artificial Intelligence28% of their works
- 2Computer Vision and Pattern Recognition14% of their works
- 3Information Systems11% of their works
- 4Computer Networks and Communications7% of their works
- 5Sociology and Political Science3% of their works
- 6Human-Computer Interaction3% of their works
Research topics
- Imbalanced Data Classification Techniques
- Anomaly Detection Techniques and Applications
- Advanced Neural Network Applications
- Text and Document Classification Technologies
- Domain Adaptation and Few-Shot Learning
- Network Security and Intrusion Detection
- Data Mining Algorithms and Applications
- Machine Learning and Data Classification
Which keywords describe Dae-Ki Kang's research?
The keywords of their largest research topics: Deep Learning, Classification, Anomaly Detection, Data Mining, Machine Learning, Meta-Learning, Imbalanced Data and SMOTE.
- Noisy Labels
- Transfer Learning
- Intrusion Detection
- Domain Adaptation
- Text Classification
- Unsupervised
- Image Recognition
- SMOTE
- Meta-Learning
- Data Mining
- Classification
- Deep Learning
- Anomaly Detection
- Machine Learning
- Imbalanced Data
- Convolutional Neural Networks
- Outlier Detection
- Multi-label Learning
- Association Rules
- Frequent Patterns
- Network Security
- Hyperparameter Optimization
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 22 words, with their numbers
- Deep Learning333 topics
- Classification222 topics
- Anomaly Detection212 topics
- Data Mining182 topics
- Machine Learning182 topics
- Meta-Learning172 topics
- Imbalanced Data141 topic
- SMOTE141 topic
- Convolutional Neural Networks121 topic
- Image Recognition121 topic
- Outlier Detection121 topic
- Unsupervised121 topic
- Multi-label Learning111 topic
- Text Classification111 topic
- Association Rules91 topic
- Domain Adaptation91 topic
- Frequent Patterns91 topic
- Intrusion Detection91 topic
- Network Security91 topic
- Transfer Learning91 topic
- Hyperparameter Optimization81 topic
- Noisy Labels81 topic
Where does Dae-Ki Kang work?
Dae-Ki Kang's main affiliation in the publication record is Dongseo University, South Korea.
How many publications and citations does Dae-Ki Kang have?
OpenAlex counts 138 works and 1,817 citations for Dae-Ki Kang, an h-index of 18, ranking #1,971,042 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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