| Graph-optimized locality preserving projections L Zhang, L Qiao, S Chen Pattern Recognition 43 (6), 1993-2002, 2010 | 182 | 2010 |
| Data-driven graph construction and graph learning: A review L Qiao, L Zhang, S Chen, D Shen Neurocomputing 312, 336-351, 2018 | 157 | 2018 |
| Estimating functional brain networks by incorporating a modularity prior L Qiao, H Zhang, M Kim, S Teng, L Zhang, D Shen Neuroimage 141, 399-407, 2016 | 123 | 2016 |
| Graph optimization for dimensionality reduction with sparsity constraints L Zhang, S Chen, L Qiao Pattern Recognition 45 (3), 1205-1210, 2012 | 99 | 2012 |
| Remodeling Pearson's correlation for functional brain network estimation and autism spectrum disorder identification W Li, Z Wang, L Zhang, L Qiao, D Shen Frontiers in neuroinformatics 11, 55, 2017 | 92 | 2017 |
| Toward a better estimation of functional brain network for mild cognitive impairment identification: a transfer learning view W Li, L Zhang, L Qiao, D Shen IEEE journal of biomedical and health informatics 24 (4), 1160-1168, 2019 | 55 | 2019 |
| Simultaneous estimation of low-and high-order functional connectivity for identifying mild cognitive impairment Y Zhou, L Qiao, W Li, L Zhang, D Shen Frontiers in neuroinformatics 12, 3, 2018 | 51 | 2018 |
| Functional brain network estimation with time series self-scrubbing W Li, L Qiao, L Zhang, Z Wang, D Shen IEEE journal of biomedical and health informatics 23 (6), 2494-2504, 2019 | 40 | 2019 |
| Estimating sparse functional connectivity networks via hyperparameter-free learning model L Sun, Y Xue, Y Zhang, L Qiao, L Zhang, M Liu Artificial Intelligence in Medicine 111, 102004, 2021 | 35 | 2021 |
| Estimating functional connectivity networks via low-rank tensor approximation with applications to MCI identification X Jiang, L Zhang, L Qiao, D Shen IEEE Transactions on Biomedical Engineering 67 (7), 1912-1920, 2019 | 33 | 2019 |
| Improving sparsity and modularity of high-order functional connectivity networks for MCI and ASD identification Y Zhou, L Zhang, S Teng, L Qiao, D Shen Frontiers in neuroscience 12, 959, 2018 | 27 | 2018 |
| Selecting label-dependent features for multi-label classification L Qiao, L Zhang, Z Sun, X Liu Neurocomputing 259, 112-118, 2017 | 22 | 2017 |
| Dimensionality reduction with adaptive graph L Qiao, L Zhang, S Chen Frontiers of Computer Science 7, 745-753, 2013 | 21 | 2013 |
| Estimating sparse functional brain networks with spatial constraints for MCI identification Y Xue, L Zhang, L Qiao, D Shen PLoS One 15 (7), e0235039, 2020 | 18 | 2020 |
| Unsupervised contrastive graph learning for resting‐state functional MRI analysis and brain disorder detection X Wang, Y Chu, Q Wang, L Cao, L Qiao, L Zhang, M Liu Human Brain Mapping 44 (17), 5672-5692, 2023 | 15 | 2023 |
| Epileptic seizure prediction using successive variational mode decomposition and transformers deep learning network X Wu, T Zhang, L Zhang, L Qiao Frontiers in Neuroscience 16, 982541, 2022 | 14 | 2022 |
| An empirical study of two typical locality preserving linear discriminant analysis methods L Qiao, L Zhang, S Chen Neurocomputing 73 (10-12), 1587-1594, 2010 | 12 | 2010 |
| Estimating brain functional networks based on adaptively-weighted fMRI signals for MCI identification H Chen, Y Zhang, L Zhang, L Qiao, D Shen Frontiers in Aging Neuroscience 12, 595322, 2021 | 9 | 2021 |
| Identifying individuals by fNIRS-based brain functional network fingerprints H Ren, S Zhou, L Zhang, F Zhao, L Qiao Frontiers in Neuroscience 16, 813293, 2022 | 8 | 2022 |
| Learning brain functional networks with latent temporal dependency for MCI identification Y Xue, Y Zhang, L Zhang, SW Lee, L Qiao, D Shen IEEE Transactions on Biomedical Engineering 69 (2), 590-601, 2021 | 8 | 2021 |
Lishan QiaoShandong Jianzhu UniversityVerified email at sdjzu.edu.cn