| 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 | 77 | 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 | 48 | 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 | 48 | 2018 |
| Feature selection and combination of information in the functional brain connectome for discrimination of mild cognitive impairment and analyses of altered brain patterns X Xu, W Li, J Mei, M Tao, X Wang, Q Zhao, X Liang, W Wu, D Ding, ... Frontiers in aging neuroscience 12, 28, 2020 | 44 | 2020 |
| Effective and accurate diagnosis of subjective cognitive decline based on functional connection and graph theory view X Xu, W Li, M Tao, Z Xie, X Gao, L Yue, P Wang Frontiers in neuroscience 14, 577887, 2020 | 37 | 2020 |
| 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 | 36 | 2019 |
| Multiple connection pattern combination from single-mode data for mild cognitive impairment identification W Li, X Xu, Z Wang, L Peng, P Wang, X Gao Frontiers in Cell and Developmental Biology 9, 782727, 2021 | 25 | 2021 |
| The reconfiguration pattern of individual brain metabolic connectome for Parkinson's disease identification W Li, Y Tang, L Peng, Z Wang, S Hu, X Gao MedComm 4 (4), e305, 2023 | 23 | 2023 |
| The altered reconfiguration pattern of brain modular architecture regulates cognitive function in cerebral small vessel disease R Liu, H Chen, R Qin, Y Gu, X Chen, J Zou, YC Jiang, W Li, F Bai, ... Frontiers in Neurology 10, 324, 2019 | 23 | 2019 |
| Functional connectivity network estimation with an inter-similarity prior for mild cognitive impairment classification W Li, X Xu, W Jiang, P Wang, X Gao Aging (Albany NY) 12 (17), 17328, 2020 | 21 | 2020 |
| The effect of jet lag on the human brain: a neuroimaging study F Zhang, W Li, H Li, S Gao, JA Sweeney, Z Jia, Q Gong Human brain mapping 41 (9), 2281-2291, 2020 | 21 | 2020 |
| Unsupervised domain adaptation with progressive adaptation of subspaces W Li, S Chen Pattern Recognition 132, 108918, 2022 | 19 | 2022 |
| Machine learning based on the multimodal connectome can predict the preclinical stage of Alzheimer’s disease: a preliminary study H Chen, W Li, X Sheng, Q Ye, H Zhao, Y Xu, F Bai, ... European Radiology 32, 448-459, 2022 | 17 | 2022 |
| Human-Guided Functional Connectivity Network Estimation for Chronic Tinnitus Identification: A Modularity View WK Li, YC Chen, XW Xu, X Wang, X Gao IEEE journal of biomedical and health informatics, 2022 | 16 | 2022 |
| Morphological, structural, and functional networks highlight the role of the cortical-subcortical circuit in individuals with subjective cognitive decline X Xu, T Wang, W Li, H Li, B Xu, M Zhang, L Yue, P Wang, S Xiao Frontiers in Aging Neuroscience 13, 688113, 2021 | 16 | 2021 |
| Leave zero out: Towards a no-cross-validation approach for model selection W Li, C Geng, S Chen arXiv preprint arXiv:2012.13309, 2020 | 13 | 2020 |
| Group similarity constraint functional brain network estimation for Mild Cognitive Impairment classification X Gao, X Xu, X Hua, P Wang, W Li, R Li Frontiers in Neuroscience 14, 494980, 2020 | 13 | 2020 |
| Jacobian norm for unsupervised source-free domain adaptation W Li, M Cao, S Chen arXiv preprint arXiv:2204.03467, 2022 | 9 | 2022 |
| Partial Domain Adaptation without Domain Alignment W Li, S Chen IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 7 | 2022 |
| Characteristics of multimodal brain connectomics in patients with schizophrenia and the unaffected first-degree relatives X Lin, WK Li, G Dong, Q Wang, H Sun, J Shi, Y Fan, P Li, L Lu Frontiers in cell and developmental biology 9, 631864, 2021 | 7 | 2021 |
Dinggang ShenProf. and Founding Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging Intelligence在 shanghaitech.edu.cn 的电子邮件经过验证
