Jong‐Uk Hou
Jong‐Uk Hou publishes mostly in Computer Vision and Pattern Recognition, Signal Processing and Industrial and Manufacturing Engineering, on topics such as Digital Media Forensic Detection, Advanced Steganography and Watermarking Techniques and Generative Adversarial Networks and Image Synthesis.
- World rank
- #1,985,723 of 7,710,434 ranked researchers
- Rank in South Korea
- #24,830 of 162,609
- Works
- 57
- Citations
- 523
- Citations per work
- 9.2
What does Jong‐Uk Hou research?
Jong‐Uk Hou's work is mostly in Computer Science (51%), Engineering (4%), Biochemistry, Genetics and Molecular Biology (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 Sciences3154.8%
- Computer Science2951.2%
- Engineering23.6%
- Everything else2239.2%
- Life Sciences23.0%
- Health Sciences23.0%
- Medicine23.0%
- 1Computer Vision and Pattern Recognition42% of their works
- 2Signal Processing6% of their works
- 3Industrial and Manufacturing Engineering4% of their works
- 4Artificial Intelligence3% of their works
- 5Biophysics3% of their works
- 6Gastroenterology3% of their works
Research topics
- Digital Media Forensic Detection
- Advanced Steganography and Watermarking Techniques
- Generative Adversarial Networks and Image Synthesis
- Industrial Vision Systems and Defect Detection
- Chaos-based Image/Signal Encryption
- Video Coding and Compression Technologies
- Cell Image Analysis Techniques
- Computer Graphics and Visualization Techniques
Which keywords describe Jong‐Uk Hou's research?
The keywords of their largest research topics: Deep Learning, Digital Forensics, Image Forgery Detection, Reversible Data Embedding, Steganography, Fabric Defect Detection, Generative Adversarial Networks and Image Synthesis.
- High-Content Screening
- Bioimage Analysis
- Image Encryption
- Chaos
- Image Synthesis
- Fabric Defect Detection
- Reversible Data Embedding
- Digital Forensics
- Deep Learning
- Image Forgery Detection
- Steganography
- Generative Adversarial Networks
- Machine Vision
- H.264/AVC
- Video Coding
- Computer Graphics
- Visualization
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 17 words, with their numbers
- Deep Learning645 topics
- Digital Forensics271 topic
- Image Forgery Detection271 topic
- Reversible Data Embedding211 topic
- Steganography211 topic
- Fabric Defect Detection61 topic
- Generative Adversarial Networks61 topic
- Image Synthesis61 topic
- Machine Vision61 topic
- Chaos51 topic
- H.264/AVC51 topic
- Image Encryption51 topic
- Video Coding51 topic
- Bioimage Analysis41 topic
- Computer Graphics41 topic
- High-Content Screening41 topic
- Visualization41 topic
Where does Jong‐Uk Hou work?
Jong‐Uk Hou's main affiliation in the publication record is Hallym University, South Korea.
How many publications and citations does Jong‐Uk Hou have?
OpenAlex counts 57 works and 523 citations for Jong‐Uk Hou, an h-index of 12, ranking #1,985,723 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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