| Time-varying functional network information extracted from brief instances of spontaneous brain activity X Liu, JH Duyn Proceedings of the National Academy of Sciences 110 (11), 4392-4397, 2013 | 704 | 2013 |
| Relation-aware entity alignment for heterogeneous knowledge graphs Y Wu, X Liu, Y Feng, Z Wang, R Yan, D Zhao arXiv preprint arXiv:1908.08210, 2019 | 401 | 2019 |
| EEG correlates of time-varying BOLD functional connectivity C Chang, Z Liu, MC Chen, X Liu, JH Duyn Neuroimage 72, 227-236, 2013 | 390 | 2013 |
| Subcortical evidence for a contribution of arousal to fMRI studies of brain activity X Liu, JA De Zwart, ML Schölvinck, C Chang, FQ Ye, DA Leopold, ... Nature communications 9 (1), 395, 2018 | 365 | 2018 |
| Tracking brain arousal fluctuations with fMRI C Chang, DA Leopold, ML Schölvinck, H Mandelkow, D Picchioni, X Liu, ... Proceedings of the National Academy of Sciences 113 (16), 4518-4523, 2016 | 325 | 2016 |
| Quantitative imaging of energy expenditure in human brain XH Zhu, H Qiao, F Du, Q Xiong, X Liu, X Zhang, K Ugurbil, W Chen Neuroimage 60 (4), 2107-2117, 2012 | 306 | 2012 |
| Decomposition of spontaneous brain activity into distinct fMRI co-activation patterns X Liu, C Chang, JH Duyn Frontiers in systems neuroscience 7, 62295, 2013 | 221 | 2013 |
| Co-activation patterns in resting-state fMRI signals X Liu, N Zhang, C Chang, JH Duyn Neuroimage 180, 485-494, 2018 | 206 | 2018 |
| Jointly learning entity and relation representations for entity alignment Y Wu, X Liu, Y Feng, Z Wang, D Zhao arXiv preprint arXiv:1909.09317, 2019 | 201 | 2019 |
| Neural origin of spontaneous hemodynamic fluctuations in rats under burst–suppression anesthesia condition X Liu, XH Zhu, Y Zhang, W Chen Cerebral cortex 21 (2), 374-384, 2011 | 187 | 2011 |
| Neighborhood matching network for entity alignment Y Wu, X Liu, Y Feng, Z Wang, D Zhao arXiv preprint arXiv:2005.05607, 2020 | 161 | 2020 |
| Dynamic resting state functional connectivity in awake and anesthetized rodents Z Liang, X Liu, N Zhang Neuroimage 104, 89-99, 2015 | 139 | 2015 |
| The change of functional connectivity specificity in rats under various anesthesia levels and its neural origin X Liu, XH Zhu, Y Zhang, W Chen Brain topography 26, 363-377, 2013 | 123 | 2013 |
| Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs. D Xu, W Cheng, D Luo, X Liu, X Zhang IJCAI, 3947-3953, 2019 | 104 | 2019 |
| A correlation-matrix-based hierarchical clustering method for functional connectivity analysis X Liu, XH Zhu, P Qiu, W Chen Journal of neuroscience methods 211 (1), 94-102, 2012 | 103 | 2012 |
| Reduced coupling between cerebrospinal fluid flow and global brain activity is linked to Alzheimer disease–related pathology F Han, J Chen, A Belkin-Rosen, Y Gu, L Luo, OM Buxton, X Liu, ... PLoS biology 19 (6), e3001233, 2021 | 78 | 2021 |
| Co-regularized deep multi-network embedding J Ni, S Chang, X Liu, W Cheng, H Chen, D Xu, X Zhang Proceedings of the 2018 world wide web conference, 469-478, 2018 | 76 | 2018 |
| Arousal transitions in sleep, wakefulness, and anesthesia are characterized by an orderly sequence of cortical events X Liu, T Yanagawa, DA Leopold, C Chang, H Ishida, N Fujii, JH Duyn Neuroimage 116, 222-231, 2015 | 71 | 2015 |
| Brain activity fluctuations propagate as waves traversing the cortical hierarchy Y Gu, LE Sainburg, S Kuang, F Han, JW Williams, Y Liu, N Zhang, ... Cerebral cortex 31 (9), 3986-4005, 2021 | 64 | 2021 |
| Local community detection in multiple networks D Luo, Y Bian, Y Yan, X Liu, J Huan, X Zhang Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 56 | 2020 |
