| Joint embedding of graphs S Wang, J Arroyo, JT Vogelstein, CE Priebe IEEE transactions on pattern analysis and machine intelligence 43 (4), 1324-1336, 2019 | 72 | 2019 |
| Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics EW Bridgeford, S Wang, Z Wang, T Xu, C Craddock, J Dey, G Kiar, ... PLoS computational biology 17 (9), e1009279, 2021 | 38 | 2021 |
| Statistical analysis of data repeatability measures Z Wang, E Bridgeford, S Wang, JT Vogelstein, B Caffo arXiv preprint arXiv:2005.11911, 2020 | 12 | 2020 |
| Signal subgraph estimation via vertex screening S Wang, C Shen, A Badea, CE Priebe, JT Vogelstein arXiv preprint arXiv:1801.07683, 2018 | 9 | 2018 |
| Big data reproducibility: Applications in brain imaging and genomics EW Bridgeford, S Wang, Z Yang, Z Wang, T Xu, C Craddock, J Dey, G Kiar, ... BioRxiv, 802629, 2020 | 8 | 2020 |
| Optimal experimental design for generating reference connectome datasets S Wang, Z Yang, M Milham, C Craddock, XN Zuo, CE Priebe, ... Organization for Human Brain Mapping, 21st Annual Meeting, 2015 | 5 | 2015 |
| Signal subgraph estimation via iterative vertex screening S Wang, C Shen, A Badea, CE Priebe, JT Vogelstein arXiv, 1801 | 5 | 1801 |
| Consortium for Reliability and Reproducibility, & Vogelstein, JT (2021). Eliminating accidental deviations to minimize generalization error and maximize replicability … EW Bridgeford, S Wang, Z Wang, T Xu, C Craddock, J Dey, G Kiar, ... PLOS Computational Biology 17 (9), e1009279, 0 | 5 | |
| Optimal experimental design for big data: applications in brain imaging EW Bridgeford, S Wang, Z Yang, Z Wang, T Xu, C Craddock, G Kiar, ... BioRxiv, 2019 | 4 | 2019 |
| Discovering the Signal Subgraph: An Iterative Screening Approach on Graphs C Shen, S Wang, A Badea, CE Priebe, JT Vogelstein arXiv e-prints, arXiv: 1801.07683, 2018 | 1 | 2018 |
| Statistical Inference on Multiple Graphs S Wang Johns Hopkins University, 2018 | | 2018 |
