World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
11929
World Ranking
6091
National Ranking
804

Overview

Xun Chen is affiliated with the University of Science and Technology of China. Their research spans numerous fields and subfields, particularly focused on Engineering and Computer Science.

The main fields of study for Xun Chen include:

  • Engineering
  • Computer Science

Their work also covers several subfields, notably:

  • Cognitive Neuroscience
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Media Technology

Xun Chen's research topics encompass a range of specialized areas such as:

  • EEG and Brain-Computer Interfaces
  • Muscle activation and electromyography studies
  • Advanced Image Fusion Techniques
  • Blind Source Separation Techniques
  • ECG Monitoring and Analysis
  • Advanced Sensor and Energy Harvesting Materials
  • Non-Invasive Vital Sign Monitoring

Frequent collaborators in Xun Chen's work include:

  • Aiping Liu
  • Chang Li
  • Yü Liu
  • Xu Zhang
  • Xiang Chen

Xun Chen has published extensively, with frequent contributions appearing in the following venues:

  • IEEE Sensors Journal
  • arXiv (Cornell University)
  • IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • IEEE Transactions on Instrumentation and Measurement
  • Computers in Biology and Medicine

Among recent papers authored or co-authored by Xun Chen are:

  • EEG-Based Emotion Recognition via Channel-Wise Attention and Self Attention, 2020, IEEE Transactions on Affective Computing
  • Human cardiac organoids for the modelling of myocardial infarction and drug cardiotoxicity, 2020, Nature Biomedical Engineering
  • Multi-focus image fusion: A Survey of the state of the art, 2020, Information Fusion
  • EEG-based emotion recognition using an end-to-end regional-asymmetric convolutional neural network, 2020, Knowledge-Based Systems
  • Emotion Recognition From Multi-Channel EEG via Deep Forest, 2020, IEEE Journal of Biomedical and Health Informatics

Xun Chen has also contributed to academic books, including a publication with Frontiers Media titled Multimodal Brain Image Fusion: Methods, Evaluations, and Applications in 2023.

Best Publications

  • Multi-focus image fusion with a deep convolutional neural network

    Yu Liu;Xun Chen;Hu Peng;Zengfu Wang

  • Image Fusion With Convolutional Sparse Representation

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

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

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

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

    Ming Yin;Xiaoning Liu;Yu Liu;Xun Chen

  • EEG-based Emotion Recognition via Channel-wise Attention and Self Attention

    Wei Tao;Chang Li;Rencheng Song;Juan Cheng

  • Infrared and visible image fusion with convolutional neural networks

    Yu Liu;Xun Chen;Juan Cheng;Hu Peng

  • A medical image fusion method based on convolutional neural networks

    Yu Liu;Xun Chen;Juan Cheng;Hu Peng

  • Medical Image Fusion via Convolutional Sparsity Based Morphological Component Analysis

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

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

    Yu Liu;Lei Wang;Juan Cheng;Chang Li

  • EEG-based emotion recognition using an end-to-end regional-asymmetric convolutional neural network

    Heng Cui;Aiping Liu;Xu Zhang;Xiang Chen

  • Emotion Recognition From Multi-Channel EEG via Deep Forest

    Juan Cheng;Meiyao Chen;Chang Li;Yu Liu

  • PulseGAN: Learning to Generate Realistic Pulse Waveforms in Remote Photoplethysmography

    Rencheng Song;Huan Chen;Juan Cheng;Chang Li

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

    Xun Chen;Juan Cheng;Rencheng Song;Yu Liu

  • Sparse Group Representation Model for Motor Imagery EEG Classification

    Yong Jiao;Yu Zhang;Xun Chen;Erwei Yin

  • Pattern recognition of number gestures based on a wireless surface EMG system

    Xun Chen;Z. Jane Wang

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

    Yu Liu;Yufeng Ding;Chang Li;Juan Cheng

  • Hand Gesture Recognition based on Surface Electromyography using Convolutional Neural Network with Transfer Learning Method

    Xiang Chen;Yu Li;Ruochen Hu;Xu Zhang

  • ECG-based multi-class arrhythmia detection using spatio-temporal attention-based convolutional recurrent neural network.

    Jing Zhang;Aiping Liu;Min Gao;Xiang Chen

  • The Use of Multivariate EMD and CCA for Denoising Muscle Artifacts From Few-Channel EEG Recordings

    Xun Chen;Xueyuan Xu;Aiping Liu;Martin J. McKeown

  • Different Input Resolutions and Arbitrary Output Resolution: A Meta Learning-Based Deep Framework for Infrared and Visible Image Fusion

    Huafeng Li;Yueliang Cen;Yu Liu;Xun Chen

  • Classification of EEG signals using a multiple kernel learning support vector machine.

    Xiaoou Li;Xun Chen;Yuning Yan;Wenshi Wei

Frequent Co-Authors

Z. Jane Wang
Z. Jane Wang University of British Columbia
Yu Liu
Yu Liu Clarkson University
Martin J. McKeown
Martin J. McKeown University of British Columbia
Rabab K. Ward
Rabab K. Ward University of British Columbia
Peyman Servati
Peyman Servati University of British Columbia
Septimiu E. Salcudean
Septimiu E. Salcudean University of British Columbia
Andrzej Cichocki
Andrzej Cichocki Systems Research Institute
Alfonso Farina
Alfonso Farina Finmeccanica (Italy)
Weifeng Su
Weifeng Su University at Buffalo, State University of New York
Xueyang Fu
Xueyang Fu University of Science and Technology of China

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