Image fusion algorithm based on spatial frequency-motivated pulse coupled neural networks in nonsubsampled contourlet transform domain XB Qu, JW Yan, HZ Xiao, ZQ Zhu Acta Automatica Sinica 34 (12), 1508-1514, 2008 | 501 | 2008 |

Magnetic resonance image reconstruction from undersampled measurements using a patch-based nonlocal operator X Qu, Y Hou, F Lam, D Guo, J Zhong, Z Chen Medical Image Analysis 18 (6), 843-856, 2014 | 361 | 2014 |

Convolutional neural networks-based MRI image analysis for the Alzheimer’s disease prediction from mild cognitive impairment W Lin, T Tong, Q Gao, D Guo, X Du, Y Yang, G Guo, M Xiao, M Du*, X Qu* Frontiers in Neuroscience 12, 777, 2018 | 345 | 2018 |

Undersampled MRI reconstruction with patch-based directional wavelets X Qu, D Guo, B Ning, Y Hou, Y Lin, S Cai, Z Chen. Magnetic Resonance Imaging 30 (7), 964-977, 2012 | 269 | 2012 |

Fast multiclass dictionaries learning with geometrical directions in MRI reconstruction Z Zhan, JF Cai, D Guo, Y Liu, Z Chen, X Qu* IEEE Transactions on Biomedical Engineering 63 (9), 1850-1861, 2016 | 205 | 2016 |

Iterative thresholding compressed sensing MRI based on contourlet transform X Qu, W Zhang, D Guo, C Cai, S Cai, Z Chen Inverse Problems in Science and Engineering 18 (6), 737-758, 2010 | 185 | 2010 |

Projected iterative soft-thresholding algorithm for tight frames in compressed sensing magnetic resonance imaging Y Liu, Z Zhan, JF Cai, D Guo, Z Chen, X Qu* IEEE Transactions on Medical Imaging 35 (9), 2130-2140, 2016 | 182 | 2016 |

Accelerated NMR spectroscopy with low‐rank reconstruction X Qu*, M Mayzel, JF Cai, Z Chen, V Orekhov* Angewandte Chemie International Edition 54 (3), 852-854, 2015 | 182 | 2015 |

Image reconstruction of compressed sensing MRI using graph-based redundant wavelet transform Z Lai#, X Qu#*, Y Liu, D Guo, J Ye, Z Zhan, Z Chen* Medical Image Analysis 27, 93-104, 2016 | 176 | 2016 |

Multifocus image fusion method of sharp frequency localized contourlet transform domain based on sum-modified-Laplacian X Qu, J Yan, G Yang Optics and Precision Engineering 17 (5), 1203-1212, 2009 | 150* | 2009 |

Accelerated nuclear magnetic resonance spectroscopy with deep learning X Qu*, Y Huang, H Lu, T Qiu, D Guo, T Agback, V Orekhov, Z Chen* Angewandte Chemie International Edition 59 (26), 10297-10300, 2019 | 149 | 2019 |

Hankel matrix nuclear norm regularized tensor completion for N-dimensional exponential signals J Ying, H Lu, Q Wei, JF Cai, D Guo, J Wu, Z Chen, X Qu* IEEE Transactions on Signal Processing 65 (14), 3702-3717, 2017 | 110 | 2017 |

Review and prospect: Deep learning in nuclear magnetic resonance spectroscopy [Invited Review] D Chen#, Z Wang#, D Guo, V Orekhov, X Qu* Chemistry-A European Journal 26 (46), 10391-10401, 2020 | 109 | 2020 |

High quality multi-focus image fusion using self-similarity and depth information D Guo, J Yan, X Qu* Optics Communications 338, 138-144, 2015 | 98 | 2015 |

A novel image fusion algorithm based on bandelet transform X Qu, J Yan, G Xie, Z Zhu, B Chen Chinese Optics Letters 5 (10), 569-572, 2007 | 91 | 2007 |

Robust recovery of complex exponential signals from random Gaussian projections via low rank Hankel matrix reconstruction JF Cai*, X Qu, W Xu, GB Ye Applied and Computational Harmonic Analysis 41 (2), 470-490, 2016 | 88 | 2016 |

Magnetic resonance image reconstruction using trained geometric directions in 2D redundant wavelets domain and non-convex optimization B Ning, X Qu, D Guo, C Hu, Z Chen Magnetic Resonance Imaging 31 (9), 1611-1622, 2013 | 86 | 2013 |

Vandermonde factorization of Hankel matrix for complex exponential signal recovery-application in fast NMR spectroscopy J Ying, JF Cai, D Guo, G Tang, Z Chen, X Qu* IEEE Transactions on Signal Processing 66 (21), 5520-5533, 2018 | 80 | 2018 |

Combined sparsifying transforms for compressed sensing MRI X Qu, X Cao, D Guo, C Hu, Z Chen Electronics letters 46 (2), 121-123, 2010 | 78 | 2010 |

Balanced sparse model for tight frames in compressed sensing magnetic resonance imaging Y Liu, J Cai, Z Zhan, D Guo, J Ye, Z Chen, X Qu* PLOS ONE 10 (4), e0119584, 2015 | 69 | 2015 |