D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index 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. Citations Publications World Ranking National Ranking
Computer Science D-index 31 Citations 4,662 272 World Ranking 7645 National Ranking 67

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Operating system
  • Electrical engineering

Sanghoon Lee focuses on Artificial intelligence, Computer vision, Electronic engineering, Human visual system model and Convolutional neural network. His work deals with themes such as Video quality and Pattern recognition, which intersect with Artificial intelligence. His Computer vision research is multidisciplinary, incorporating elements of Depth perception and Stereo display.

His Electronic engineering research includes themes of Audio signal flow, Electrical engineering and Noise figure. His Human visual system model research incorporates elements of Reduction, Motion estimation, Visual perception, Wavelet transform and Scene statistics. His Convolutional neural network study combines topics from a wide range of disciplines, such as Waveform, Intelligent sensor, Support vector machine and Gesture.

His most cited work include:

  • Non-orthogonal Multiple Access in a Downlink Multiuser Beamforming System (275 citations)
  • Method and apparatus for executing voice command in electronic device (207 citations)
  • Ensemble Deep Learning for Skeleton-Based Action Recognition Using Temporal Sliding LSTM Networks (187 citations)

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

Sanghoon Lee mostly deals with Artificial intelligence, Computer vision, Electronic engineering, Electrical engineering and Optoelectronics. His research on Artificial intelligence often connects related topics like Pattern recognition. Computer vision is represented through his Stereoscopy and Image processing research.

He has researched Electronic engineering in several fields, including Computer network and Communication channel, Orthogonal frequency-division multiplexing. His research related to Voltage and Signal might be considered part of Electrical engineering. The study incorporates disciplines such as Layer and Substrate in addition to Optoelectronics.

He most often published in these fields:

  • Artificial intelligence (20.23%)
  • Computer vision (15.88%)
  • Electronic engineering (13.32%)

What were the highlights of his more recent work (between 2015-2021)?

  • Artificial intelligence (20.23%)
  • Computer vision (15.88%)
  • Pattern recognition (4.35%)

In recent papers he was focusing on the following fields of study:

Sanghoon Lee mainly investigates Artificial intelligence, Computer vision, Pattern recognition, Convolutional neural network and Visualization. His Artificial intelligence study frequently links to related topics such as Distortion. His Computer vision course of study focuses on Display size and Display resolution.

His studies in Convolutional neural network integrate themes in fields like Image quality and Visual perception. His biological study deals with issues like Stereoscopy, which deal with fields such as Salience. Sanghoon Lee interconnects Quality and Algorithm in the investigation of issues within Feature extraction.

Between 2015 and 2021, his most popular works were:

  • Ensemble Deep Learning for Skeleton-Based Action Recognition Using Temporal Sliding LSTM Networks (187 citations)
  • Fully Deep Blind Image Quality Predictor (179 citations)
  • Deep Convolutional Neural Models for Picture-Quality Prediction: Challenges and Solutions to Data-Driven Image Quality Assessment (126 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Operating system
  • Electrical engineering

His scientific interests lie mostly in Artificial intelligence, Computer vision, Convolutional neural network, Feature extraction and Visualization. The study of Artificial intelligence is intertwined with the study of Pattern recognition in a number of ways. The Computer vision study combines topics in areas such as Robustness, Virtual reality, High-definition video and Stereo display.

His work in Convolutional neural network covers topics such as Visual perception which are related to areas like Digital image and Vision science. In Feature extraction, Sanghoon Lee works on issues like Quality, which are connected to Nonlinear distortion and Transform coding. Sanghoon Lee has included themes like Monocular and Fixation in his Visualization study.

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)

325 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)

207 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)

207 Citations

Foveated video compression with optimal rate control

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

182 Citations

Foveated video quality assessment

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

176 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)

153 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)

118 Citations

A master and slave control strategy for parallel operation of three-phase UPS systems with different ratings

Woo-Cheol Lee;Taeck-Ki Lee;Sang-Hoon Lee;Kyung-Hwan Kim.
applied power electronics conference (2004)

112 Citations

Deep Learning of Human Visual Sensitivity in Image Quality Assessment Framework

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

109 Citations

Best Scientists Citing Sanghoon Lee

Alan C. Bovik

Alan C. Bovik

The University of Texas at Austin

Publications: 63

Jinho Choi

Jinho Choi

Deakin University

Publications: 26

Weisi Lin

Weisi Lin

Nanyang Technological University

Publications: 26

Zhiguo Ding

Zhiguo Ding

University of Manchester

Publications: 25

Gun-Woo Moon

Gun-Woo Moon

Korea Advanced Institute of Science and Technology

Publications: 24

Zhou Wang

Zhou Wang

University of Waterloo

Publications: 16

Octavia A. Dobre

Octavia A. Dobre

Memorial University of Newfoundland

Publications: 11

Guangming Shi

Guangming Shi

Xidian University

Publications: 10

Myung-Joong Youn

Myung-Joong Youn

Korea Advanced Institute of Science and Technology

Publications: 10

Vincenzo Piuri

Vincenzo Piuri

University of Milan

Publications: 9

Antony Paul Van de Ven

Antony Paul Van de Ven

Cree (China)

Publications: 9

Christina Lim

Christina Lim

University of Melbourne

Publications: 9

H. Vincent Poor

H. Vincent Poor

Princeton University

Publications: 9

Mugen Peng

Mugen Peng

Beijing University of Posts and Telecommunications

Publications: 8

John L. Melanson

John L. Melanson

Cirrus Logic (United States)

Publications: 8

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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