| Mapping population-based structural connectomes Z Zhang, M Descoteaux, J Zhang, G Girard, M Chamberland, D Dunson, ... NeuroImage 172, 130-145, 2018 | 92 | 2018 |
| Tensor network factorizations: Relationships between brain structural connectomes and traits Z Zhang, GI Allen, H Zhu, D Dunson Neuroimage 197, 330-343, 2019 | 91* | 2019 |
| Common and individual structure of brain networks L Wang, Z Zhang, D Dunson The Annals of Applied Statistics 13 (1), 85-112, 2019 | 46 | 2019 |
| Rate-invariant analysis of covariance trajectories Z Zhang, J Su, E Klassen, H Le, A Srivastava Journal of Mathematical Imaging and Vision 60, 1306-1323, 2018 | 46* | 2018 |
| Gaussian blurring-invariant comparison of signals and images Z Zhang, E Klassen, A Srivastava IEEE Transactions on Image Processing 22 (8), 3145-3157, 2013 | 35 | 2013 |
| Which multiband factor should you choose for your resting-state fMRI study? BB Risk, RJ Murden, J Wu, MB Nebel, A Venkataraman, Z Zhang, D Qiu NeuroImage 234, 117965, 2021 | 34 | 2021 |
| Bayesian clustering of shapes of curves Z Zhang, D Pati, A Srivastava Journal of Statistical Planning and Inference 166, 171-186, 2015 | 33 | 2015 |
| Processing speed and attention training modifies autonomic flexibility: A mechanistic intervention study FV Lin, Y Tao, Q Chen, M Anthony, Z Zhang, D Tadin, KL Heffner NeuroImage 213, 116730, 2020 | 25 | 2020 |
| Symmetric bilinear regression for signal subgraph estimation L Wang, Z Zhang, D Dunson IEEE Transactions on Signal Processing 67 (7), 1929-1940, 2019 | 24 | 2019 |
| Analyzing dynamical brain functional connectivity as trajectories on space of covariance matrices M Dai, Z Zhang, A Srivastava IEEE transactions on medical imaging 39 (3), 611-620, 2019 | 23 | 2019 |
| Blurring-invariant Riemannian metrics for comparing signals and images Z Zhang, E Klassen, A Srivastava, P Turaga, R Chellappa 2011 International Conference on Computer Vision, 1770-1775, 2011 | 23 | 2011 |
| Mapping brain structural connectivities to functional networks via graph encoder-decoder with interpretable latent embeddings Y Li, R Shafipour, G Mateos, Z Zhang 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2019 | 20 | 2019 |
| Phase-amplitude separation and modeling of spherical trajectories Z Zhang, E Klassen, A Srivastava Journal of Computational and Graphical Statistics 27 (1), 85-97, 2018 | 20 | 2018 |
| Brain structural connectomes indicate shared neural circuitry involved in subjective experience of cognitive and physical fatigue in older adults TM Baran, Z Zhang, AJ Anderson, K McDermott, F Lin Brain imaging and behavior 14, 2488-2499, 2020 | 19 | 2020 |
| Learning clique subgraphs in structural brain network classification with application to crystallized cognition L Wang, FV Lin, M Cole, Z Zhang Neuroimage 225, 117493, 2021 | 18 | 2021 |
| Insula and putamen centered functional connectivity networks reflect healthy agers' subjective experience of cognitive fatigue in multiple tasks AJ Anderson, P Ren, TM Baran, Z Zhang, F Lin Cortex 119, 428-440, 2019 | 14 | 2019 |
| High-dimensional spatial quantile function-on-scalar regression Z Zhang, X Wang, L Kong, H Zhu Journal of the American Statistical Association 117 (539), 1563-1578, 2022 | 13 | 2022 |
| Brain imaging biomarkers for chronic pain Z Zhang, JS Gewandter, P Geha Frontiers in Neurology 12, 734821, 2022 | 12 | 2022 |
| Supervised graph representation learning for modeling the relationship between structural and functional brain connectivity Y Li, R Shafipour, G Mateos, Z Zhang ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 12 | 2020 |
| Discovering common change-point patterns in functional connectivity across subjects M Dai, Z Zhang, A Srivastava Medical image analysis 58, 101532, 2019 | 12 | 2019 |
Anuj SrivastavaProfessor of Statistics, Florida State UniversityVerified email at stat.fsu.edu
