Sung-Hyuk Cha
Sung-Hyuk Cha publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, on topics such as Handwritten Text Recognition Techniques, Image Retrieval and Classification Techniques and Advanced Image and Video Retrieval Techniques.
- World rank
- #1,207,065 of 7,710,434 ranked researchers
- Rank in United States
- #386,980 of 1,627,098
- Works
- 128
- Citations
- 5.2k
- Citations per work
- 40.6
What does Sung-Hyuk Cha research?
Sung-Hyuk Cha's work is mostly in Computer Science (77%), Neuroscience (4%).
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 Sciences9977.0%
- Computer Science9977.0%
- Everything else2519.2%
- Life Sciences53.8%
- Neuroscience53.8%
- 1Computer Vision and Pattern Recognition33% of their works
- 2Artificial Intelligence20% of their works
- 3Signal Processing10% of their works
- 4Information Systems10% of their works
- 5Human-Computer Interaction5% of their works
- 6Cognitive Neuroscience4% of their works
Research topics
- Handwritten Text Recognition Techniques
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- User Authentication and Security Systems
- Biometric Identification and Security
- Image Processing and 3D Reconstruction
- Natural Language Processing Techniques
- Face and Expression Recognition
Which keywords describe Sung-Hyuk Cha's research?
The keywords of their largest research topics: Local Binary Patterns, Authentication, Security, Handwriting Recognition, Text Detection, Content-Based Image Retrieval, Shape Matching and Feature Matching.
- Dimensionality Reduction
- Neural Machine Translation
- Fragmented Objects
- Passwords
- Biometric Recognition
- Feature Matching
- Content-Based Image Retrieval
- Handwriting Recognition
- Authentication
- Local Binary Patterns
- Security
- Text Detection
- Shape Matching
- Local Descriptors
- Biometrics
- Privacy
- Reconstruction
- Statistical Machine Translation
- Face 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. 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 19 words, with their numbers
- Local Binary Patterns312 topics
- Authentication302 topics
- Security302 topics
- Handwriting Recognition281 topic
- Text Detection281 topic
- Content-Based Image Retrieval221 topic
- Shape Matching221 topic
- Feature Matching161 topic
- Local Descriptors161 topic
- Biometric Recognition151 topic
- Biometrics151 topic
- Passwords151 topic
- Privacy151 topic
- Fragmented Objects131 topic
- Reconstruction131 topic
- Neural Machine Translation101 topic
- Statistical Machine Translation101 topic
- Dimensionality Reduction91 topic
- Face Recognition91 topic
Where does Sung-Hyuk Cha work?
Sung-Hyuk Cha's main affiliation in the publication record is Pace University, United States.
How many publications and citations does Sung-Hyuk Cha have?
OpenAlex counts 128 works and 5,203 citations for Sung-Hyuk Cha, an h-index of 25, ranking #1,207,065 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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