2026 Yu Liu: 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	34	11877	11535	4842	4629	86	14043

Overview

Yu Liu is affiliated with Clarkson University in the United States and has an extensive publication record primarily in the fields of engineering and medicine. Their research contributions encompass numerous subfields, including computer vision and pattern recognition, molecular biology, media technology, biomedical engineering, and electrical and electronic engineering.

The scientist's work covers a variety of topics such as advanced image fusion techniques, remote-sensing image classification, image enhancement techniques, EEG and brain-computer interfaces, gut microbiota and health, emotion and mood recognition, and heart rate variability and autonomic control.

Yu Liu has authored several recent papers, including the following:

Brain tumor segmentation based on the fusion of deep semantics and edge information in multimodal MRI (2022) published in Information Fusion
EEG-Based Emotion Recognition via Channel-Wise Attention and Self Attention (2020) published in IEEE Transactions on Affective Computing
DATFuse: Infrared and Visible Image Fusion via Dual Attention Transformer (2023) published in IEEE Transactions on Circuits and Systems for Video Technology
YDTR: Infrared and Visible Image Fusion via Y-Shape Dynamic Transformer (2022) published in IEEE Transactions on Multimedia
MATR: Multimodal Medical Image Fusion via Multiscale Adaptive Transformer (2022) published in IEEE Transactions on Image Processing

Frequent collaborators associated with Yu Liu's research include:

Xun Chen (56 publications)
Juan Cheng (41 publications)
Chang Li (29 publications)
Rencheng Song (23 publications)
Aiping Liu (10 publications)

Yu Liu's publications appear regularly in venues such as:

arXiv (Cornell University) with 31 publications
SSRN Electronic Journal with 19 publications
IEEE Sensors Journal with 9 publications
Computers in Biology and Medicine with 8 publications
IEEE Transactions on Instrumentation and Measurement with 8 publications

Yu Liu has also contributed to academic books, including a publication by Frontiers Media titled Multimodal Brain Image Fusion: Methods, Evaluations, and Applications released in 2023.

Best Publications

Deep learning in remote sensing applications: A meta-analysis and review

Lei Ma;Yu Liu;Xueliang Zhang;Yuanxin Ye

2128
Citations
A general framework for image fusion based on multi-scale transform and sparse representation

Yu Liu;Shuping Liu;Zengfu Wang

1441
Citations
IFCNN: A general image fusion framework based on convolutional neural network

Yu Zhang;Yu Liu;Peng Sun;Han Yan

1294
Citations
Multi-focus image fusion with a deep convolutional neural network

Yu Liu;Xun Chen;Hu Peng;Zengfu Wang

1272
Citations
Image Fusion With Convolutional Sparse Representation

Yu Liu;Xun Chen;Rabab K. Ward;Z. Jane Wang

966
Citations
Deep learning for pixel-level image fusion: Recent advances and future prospects

Yu Liu;Xun Chen;Xun Chen;Zengfu Wang;Z. Jane Wang

710
Citations
Medical Image Fusion With Parameter-Adaptive Pulse Coupled Neural Network in Nonsubsampled Shearlet Transform Domain

Ming Yin;Xiaoning Liu;Yu Liu;Xun Chen

546
Citations
Multi-focus image fusion with dense SIFT

Yu Liu;Shuping Liu;Zengfu Wang

508
Citations
EEG-based Emotion Recognition via Channel-wise Attention and Self Attention

Wei Tao;Chang Li;Rencheng Song;Juan Cheng

484
Citations
Infrared and visible image fusion with convolutional neural networks

Yu Liu;Xun Chen;Juan Cheng;Hu Peng

442
Citations
A medical image fusion method based on convolutional neural networks

Yu Liu;Xun Chen;Juan Cheng;Hu Peng

378
Citations
Simultaneous image fusion and denoising with adaptive sparse representation

Yu Liu;Zengfu Wang

359
Citations
Medical Image Fusion via Convolutional Sparsity Based Morphological Component Analysis

Yu Liu;Xun Chen;Rabab K. Ward;Z. Jane Wang

290
Citations
Multi-focus image fusion: A Survey of the state of the art

Yu Liu;Lei Wang;Juan Cheng;Chang Li

290
Citations
Emotion Recognition From Multi-Channel EEG via Deep Forest

Juan Cheng;Meiyao Chen;Chang Li;Yu Liu

222
Citations
PulseGAN: Learning to Generate Realistic Pulse Waveforms in Remote Photoplethysmography

Rencheng Song;Huan Chen;Juan Cheng;Chang Li

218
Citations
Video-Based Heart Rate Measurement: Recent Advances and Future Prospects

Xun Chen;Juan Cheng;Rencheng Song;Yu Liu

213
Citations
Multi-channel EEG-based emotion recognition via a multi-level features guided capsule network.

Yu Liu;Yufeng Ding;Chang Li;Juan Cheng

187
Citations
DeepPhos: prediction of protein phosphorylation sites with deep learning

Fenglin Luo;Minghui Wang;Yu Liu;Xing Ming Zhao

183
Citations
Image Dehazing by an Artificial Image Fusion Method Based on Adaptive Structure Decomposition

Mingyao Zheng;Guanqiu Qi;Zhiqin Zhu;Yuanyuan Li

150
Citations
Dense SIFT for ghost-free multi-exposure fusion

Yu Liu;Zengfu Wang

142
Citations

Frequent Co-Authors

Xun Chen University of Science and Technology of China

Z. Jane Wang University of British Columbia

Rabab K. Ward University of British Columbia

Xing-Ming Zhao Fudan University

Pedram Ghamisi Helmholtz-Zentrum Dresden-Rossendorf

Jiayi Ma Wuhan University

Weiming Zhang University of Science and Technology of China

Hao Wang Tianjin University

Martin J. McKeown University of British Columbia

Xudong Kang Hunan University

External Links

Personal website of Yu Liu

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