| A novel multi-modality image fusion method based on image decomposition and sparse representation Z Zhu, H Yin, Y Chai, Y Li, G Qi Information Sciences 432, 516-529, 2018 | 392 | 2018 |
| Brain tumor segmentation based on the fusion of deep semantics and edge information in multimodal MRI Z Zhu, X He, G Qi, Y Li, B Cong, Y Liu Information Fusion 91, 376-387, 2023 | 363 | 2023 |
| A review of the application of deep learning in intelligent fault diagnosis of rotating machinery Z Zhu, Y Lei, G Qi, Y Chai, N Mazur, Y An, X Huang Measurement 206, 112346, 2023 | 346 | 2023 |
| A phase congruency and local Laplacian energy based multi-modality medical image fusion method in NSCT domain Z Zhu, M Zheng, G Qi, D Wang, Y Xiang Ieee Access 7, 20811-20824, 2019 | 330 | 2019 |
| A novel fast single image dehazing algorithm based on artificial multiexposure image fusion Z Zhu, H Wei, G Hu, Y Li, G Qi, N Mazur IEEE Transactions on Instrumentation and Measurement 70, 1-23, 2020 | 296 | 2020 |
| Image dehazing by an artificial image fusion method based on adaptive structure decomposition M Zheng, G Qi, Z Zhu, Y Li, H Wei, Y Liu IEEE Sensors Journal 20 (14), 8062-8072, 2020 | 172 | 2020 |
| X-net: a dual encoding–decoding method in medical image segmentation Y Li, Z Wang, L Yin, Z Zhu, G Qi, Y Liu The Visual Computer, 1-11, 2023 | 150 | 2023 |
| A novel dictionary learning approach for multi-modality medical image fusion Z Zhu, Y Chai, H Yin, Y Li, Z Liu Neurocomputing 214, 471-482, 2016 | 150 | 2016 |
| Fault-diagnosis for reciprocating compressors using big data and machine learning G Qi, Z Zhu, K Erqinhu, Y Chen, Y Chai, J Sun Simulation Modelling Practice and Theory 80, 104-127, 2018 | 141 | 2018 |
| A novel multi-focus image fusion approach based on image decomposition Z Liu, Y Chai, H Yin, J Zhou, Z Zhu Information Fusion 35, 102-116, 2017 | 107 | 2017 |
| Gray-box parsimonious subspace identification of Hammerstein-type systems J Hou, F Chen, P Li, Z Zhu IEEE Transactions on Industrial Electronics 68 (10), 9941-9951, 2020 | 94 | 2020 |
| An image fusion method based on sparse representation and sum modified-Laplacian in NSCT domain Y Li, Y Sun, X Huang, G Qi, M Zheng, Z Zhu Entropy 20 (7), 522, 2018 | 90 | 2018 |
| Convolutional neural network based detection and judgement of environmental obstacle in vehicle operation G Qi, H Wang, M Haner, C Weng, S Chen, Z Zhu CAAI Transactions on Intelligence Technology 4 (2), 80-91, 2019 | 89 | 2019 |
| A novel geometric dictionary construction approach for sparse representation based image fusion K Wang, G Qi, Z Zhu, Y Chai Entropy 19 (7), 306, 2017 | 88 | 2017 |
| A novel sparse-representation-based multi-focus image fusion approach H Yin, Y Li, Y Chai, Z Liu, Z Zhu Neurocomputing 216, 216-229, 2016 | 88 | 2016 |
| Atmospheric light estimation based remote sensing image dehazing Z Zhu, Y Luo, H Wei, Y Li, G Qi, N Mazur, Y Li, P Li Remote Sensing 13 (13), 2432, 2021 | 74 | 2021 |
| Remote sensing image defogging networks based on dual self-attention boost residual octave convolution Z Zhu, Y Luo, G Qi, J Meng, Y Li, N Mazur Remote Sensing 13 (16), 3104, 2021 | 67 | 2021 |
| Medical image segmentation method based on multi-feature interaction and fusion over cloud computing X He, G Qi, Z Zhu, Y Li, B Cong, L Bai Simulation Modelling Practice and Theory 126, 102769, 2023 | 63 | 2023 |
| Blockchain based consensus checking in decentralized cloud storage Z Zhu, G Qi, M Zheng, J Sun, Y Chai Simulation Modelling Practice and Theory 102, 101987, 2020 | 56 | 2020 |
| Sparse dynamic volume TransUNet with multi-level edge fusion for brain tumor segmentation Z Zhu, M Sun, G Qi, Y Li, X Gao, Y Liu Computers in Biology and Medicine, 108284, 2024 | 51 | 2024 |
Yu LiuProfessor, Hefei University of TechnologyВерификована је имејл адреса на hfut.edu.cn