D-Index & Metrics Best Publications

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Best Scientists - Electronics and Electrical Engineering
Sanghoon Lee

Sanghoon Lee

Yonsei University
Republic of Korea

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Electronics and Electrical Engineering D-index 34 Citations 6,523 499 World Ranking 3847 National Ranking 131

Computer Science D-index 34 Citations 6,351 500 World Ranking 7986 National Ranking 75

Overview

What is he best known for?

The fields of study Sanghoon Lee is best known for:

Perception
Data mining
Machine learning

His Quality (philosophy) research extends to the thematically linked field of Epistemology. His Quality (philosophy) study often links to related topics such as Epistemology. His research ties Computer vision and Image quality together. His research on Computer vision frequently connects to adjacent areas such as Image (mathematics). In most of his Image (mathematics) studies, his work intersects topics such as Image quality. His Pattern recognition (psychology) research extends to the thematically linked field of Artificial intelligence. His study ties his expertise on Artificial intelligence together with the subject of Pattern recognition (psychology). He integrates Data science with Data mining in his study. His multidisciplinary approach integrates Data mining and Data science in his work.

His most cited work include:

Fully Deep Blind Image Quality Predictor (296 citations)
Deep Convolutional Neural Models for Picture-Quality Prediction: Challenges and Solutions to Data-Driven Image Quality Assessment (200 citations)

What are the main themes of his work throughout his whole career to date

Sanghoon Lee integrates many fields in his works, including Operating system, Process (computing) and Retargeting. While working on this project, Sanghoon Lee studies both Process (computing) and Operating system. His work in Artificial intelligence is not limited to one particular discipline; it also encompasses Visualization. Computer vision is closely attributed to Retargeting in his work. His research on Pattern recognition (psychology) frequently connects to adjacent areas such as Kadir–Brady saliency detector. His work on Kadir–Brady saliency detector is being expanded to include thematically relevant topics such as Pattern recognition (psychology). As part of his studies on Neuroscience, he often connects relevant subjects like Accommodation. Accommodation is closely attributed to Neuroscience in his study. Sanghoon Lee integrates Perception with Sensory cue in his research.

Sanghoon Lee most often published in these fields:

Artificial intelligence (100.00%)
Computer vision (81.82%)
Pattern recognition (psychology) (54.55%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Non-orthogonal Multiple Access in a Downlink Multiuser Beamforming System

Beomju Kim;Sungmook Lim;Hyungjong Kim;Sangwook Suh.
military communications conference (2013)

359 Citations

Method and apparatus for executing voice command in electronic device

Subhojit Chakladar;Sang-Hoon Lee;Hee-Woon Kim.
(2013)

316 Citations

Fully Deep Blind Image Quality Predictor

Jongyoo Kim;Sanghoon Lee.
IEEE Journal of Selected Topics in Signal Processing (2017)

297 Citations

Ensemble Deep Learning for Skeleton-Based Action Recognition Using Temporal Sliding LSTM Networks

Inwoong Lee;Doyoung Kim;Seoungyoon Kang;Sanghoon Lee.
international conference on computer vision (2017)

269 Citations

Deep Convolutional Neural Models for Picture-Quality Prediction: Challenges and Solutions to Data-Driven Image Quality Assessment

Jongyoo Kim;Hui Zeng;Deepti Ghadiyaram;Sanghoon Lee.
IEEE Signal Processing Magazine (2017)

198 Citations

Foveated video quality assessment

Sanghoon Lee;M.S. Pattichis;A.C. Bovik.
IEEE Transactions on Multimedia (2002)

188 Citations

Foveated video compression with optimal rate control

Sanghoon Lee;M.S. Pattichis;A.C. Bovik.
IEEE Transactions on Image Processing (2001)

186 Citations

Deep CNN-Based Blind Image Quality Predictor

Jongyoo Kim;Anh-Duc Nguyen;Sanghoon Lee.
IEEE Transactions on Neural Networks (2019)

171 Citations

Deep Learning of Human Visual Sensitivity in Image Quality Assessment Framework

Jongyoo Kim;Sanghoon Lee.
computer vision and pattern recognition (2017)

162 Citations

An online identification method for both stator-and rotor resistances of induction motors without rotational transducers

In-Joong Ha;Sang-Hoon Lee.
IEEE Transactions on Industrial Electronics (2000)

123 Citations

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Frequent Co-Authors

External Links

Personal Website for Sanghoon Lee