2026 Junyu Dong: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	57	3862	3752	518	515	482	12212

Overview

Junyu Dong is affiliated with the Ocean University of China. Their research spans primarily the fields of Computer Science and Engineering, with a significant focus on subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Oceanography, and Atmospheric Science.

The scientist's work includes contributions on a variety of topics, notably:

Advanced Vision and Imaging
Remote-Sensing Image Classification
Advanced Image and Video Retrieval Techniques
Advanced Neural Network Applications
Image Enhancement Techniques
Domain Adaptation and Few-Shot Learning
Advanced Image Fusion Techniques

Junyu Dong has published extensively, with a frequent presence in leading scientific venues such as:

arXiv (Cornell University)
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Geoscience and Remote Sensing
Knowledge-Based Systems
IEEE Geoscience and Remote Sensing Letters

The list of recent papers by Junyu Dong demonstrates a wide range of interests:

"Effects of heavy metals on microbial communities in sediments and establishment of bioindicators based on microbial taxa and function for environmental monitoring and management," 2020, The Science of The Total Environment
"Underwater image processing and analysis: A review," 2020, Signal Processing Image Communication
"Enhancing MOEA/D with information feedback models for large-scale many-objective optimization," 2020, Information Sciences
"Perceptual Underwater Image Enhancement With Deep Learning and Physical Priors," 2020, IEEE Transactions on Circuits and Systems for Video Technology
"SWIPENET: Object detection in noisy underwater scenes," 2022, Pattern Recognition

Collaboration is a substantial aspect of their professional activity. Frequent coauthors include:

Feng Gao
Hui Yu
Qian Du
Xin Sun
Huiyu Zhou

Best Publications

Prediction of Sea Surface Temperature Using Long Short-Term Memory

Qin Zhang;Hui Wang;Junyu Dong;Guoqiang Zhong

474
Citations
Underwater image enhancement via extended multi-scale Retinex

Shu Zhang;Ting Wang;Junyu Dong;Hui Yu

424
Citations
Stock Market Prediction Based on Generative Adversarial Network

Kang Zhang;Guoqiang Zhong;Junyu Dong;Shengke Wang

309
Citations
Curricular Contrastive Regularization for Physics-Aware Single Image Dehazing

Unknown

259
Citations
A CFCC-LSTM Model for Sea Surface Temperature Prediction

Yuting Yang;Junyu Dong;Xin Sun;Estanislau Lima

254
Citations
Automatic Change Detection in Synthetic Aperture Radar Images Based on PCANet

Feng Gao;Junyu Dong;Bo Li;Qizhi Xu

253
Citations
An overview on data representation learning: From traditional feature learning to recent deep learning

Guoqiang Zhong;Li-Na Wang;Xiao Ling;Junyu Dong

248
Citations
Behavior of crossover operators in NSGA-III for large-scale optimization problems

Jiao-Hong Yi;Jiao-Hong Yi;Li-Ning Xing;Gai-Ge Wang;Junyu Dong

235
Citations
Underwater image processing and analysis: A review

Muwei Jian;Muwei Jian;Muwei Jian;Xiangyu Liu;Hanjiang Luo;Xiangwei Lu

223
Citations
An improved NSGA-III algorithm with adaptive mutation operator for Big Data optimization problems

Jiao-Hong Yi;Suash Deb;Junyu Dong;Amir Hossein Alavi

218
Citations
Sea Ice Change Detection in SAR Images Based on Convolutional-Wavelet Neural Networks

Feng Gao;Xiao Wang;Yunhao Gao;Junyu Dong

210
Citations
Enhancing MOEA/D with information feedback models for large-scale many-objective optimization

Yin Zhang;Gai-Ge Wang;Keqin Li;Wei-Chang Yeh

187
Citations
RRNet: A Hybrid Detector for Object Detection in Drone-Captured Images

Changrui Chen;Yu Zhang;Qingxuan Lv;Shuo Wei

175
Citations
Visual-Patch-Attention-Aware Saliency Detection

Muwei Jian;Kin-Man Lam;Junyu Dong;Linlin Shen

174
Citations
Perceptual Underwater Image Enhancement With Deep Learning and Physical Priors

Long Chen;Zheheng Jiang;Lei Tong;Zhihua Liu

172
Citations
A hybrid spatio-temporal model for detection and severity rating of Parkinson’s Disease from gait data

Aite Zhao;Lin Qi;Lin Qi;Jie Li;Junyu Dong

152
Citations
Change detection from synthetic aperture radar images based on neighborhood-based ratio and extreme learning machine

Feng Gao;Junyu Dong;Bo Li;Qizhi Xu

145
Citations
Human fall detection in surveillance video based on PCANet

Shengke Wang;Long Chen;Zixi Zhou;Xin Sun

143
Citations
SWIPENET: Object detection in noisy underwater scenes

Unknown

139
Citations
Underwater object detection using Invert Multi-Class Adaboost with deep learning

Long Chen;Zhihua Liu;Lei Tong;Zheheng Jiang

120
Citations
Integrating QDWD with pattern distinctness and local contrast for underwater saliency detection

Muwei Jian;Muwei Jian;Qiang Qi;Junyu Dong;Yilong Yin

105
Citations
Capture and Synthesis of 3D Surface Texture

Junyu Dong;Mike Chantler

103
Citations
Transferring deep knowledge for object recognition in Low-quality underwater videos

Xin Sun;Junyu Shi;Lipeng Liu;Junyu Dong

91
Citations

Frequent Co-Authors

Hui Yu University of Portsmouth

Huiyu Zhou University of Leicester

Kin-Man Lam Hong Kong Polytechnic University

Yilong Yin Shandong University

Gai-Ge Wang Ocean University of China

Honghai Liu University of Portsmouth

Qian Du Mississippi State University

Sheng Chen University of Southampton

Kaizhu Huang Duke Kunshan University

Heng-Chao Li Southwest Jiaotong University

External Links

Personal website of Junyu Dong

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