Holistic and component plant phenotyping using temporal image sequence S Das Choudhury, S Bashyam, Y Qiu, A Samal, T Awada Plant methods 14, 1-21, 2018 | 101 | 2018 |
Tracking and Predicting COVID-19 Epidemic in China Mainland H Sun, Y Qiu, H Yan, Huang, Yaxuan, YZ Zhu, SX Chen Medrxiv, https://doi.org/10.1101/2020.02.17.20024, 2020 | 75 | 2020 |
Test for bandedness of high-dimensional covariance matrices and bandwidth estimation Y Qiu, SX Chen | 74 | 2012 |
Differentially regulated orthologs in sorghum and the subgenomes of maize Y Zhang, DW Ngu, D Carvalho, Z Liang, Y Qiu, RL Roston, JC Schnable The Plant Cell 29 (8), 1938-1951, 2017 | 73 | 2017 |
Conventional and hyperspectral time-series imaging of maize lines widely used in field trials Z Liang, P Pandey, V Stoerger, Y Xu, Y Qiu, Y Ge, JC Schnable Gigascience 7 (2), gix117, 2018 | 57 | 2018 |
Plant segmentation by supervised machine learning methods J Adams, Y Qiu, Y Xu, JC Schnable The Plant Phenome Journal 3 (1), e20001, 2020 | 54 | 2020 |
Confidence regions for entries of a large precision matrix J Chang, Y Qiu, Q Yao, T Zou Journal of Econometrics 206 (1), 57-82, 2018 | 43 | 2018 |
Tracking reproductivity of COVID-19 epidemic in China with varying coefficient SIR model H Sun, Y Qiu, H Yan, Y Huang, Y Zhu, J Gu, SX Chen Journal of Data Science 18 (3), 455-472, 2020 | 35 | 2020 |
Comparing normalization methods and the impact of noise T Vu, E Riekeberg, Y Qiu, R Powers Metabolomics 14, 1-10, 2018 | 28 | 2018 |
Functional modeling of plant growth dynamics Y Xu, Y Qiu, JC Schnable The Plant Phenome Journal 1 (1), 1-10, 2018 | 23 | 2018 |
Better strategies for containing COVID-19 pandemic: a study of 25 countries via a vSIADR model H Yan, Y Zhu, J Gu, Y Huang, H Sun, X Zhang, Y Wang, Y Qiu, S Xi Chen Proceedings of the Royal Society A 477 (2248), 20200440, 2021 | 22 | 2021 |
From multivariate to functional data analysis: Fundamentals, recent developments, and emerging areas Y Li, Y Qiu, Y Xu Journal of Multivariate Analysis 188, 104806, 2022 | 21 | 2022 |
A high-throughput phenotyping pipeline for image processing and functional growth curve analysis R Wang, Y Qiu, Y Zhou, Z Liang, JC Schnable Plant Phenomics, 2020 | 19 | 2020 |
Comparing containment measures among nations by epidemiological effects of COVID-19 J Gu, H Yan, Y Huang, Y Zhu, H Sun, Y Qiu, S Chen National Science Review 7 (12), 1847-1851, 2020 | 16 | 2020 |
Genome–phenome wide association in maize and arabidopsis identifies a common molecular and evolutionary signature Z Liang, Y Qiu, JC Schnable Molecular plant 13 (6), 907-922, 2020 | 16 | 2020 |
Bandwidth selection for high-dimensional covariance matrix estimation Y Qiu, SX Chen Journal of the American Statistical Association 110 (511), 1160-1174, 2015 | 14 | 2015 |
Estimating c-level partial correlation graphs with application to brain imaging Y Qiu, XH Zhou Biostatistics 21 (4), 641-658, 2020 | 13 | 2020 |
Better Strategies for Containing COVID-19 Epidemics–A Study of 25 Countries via an Extended SEIR Model J Gu, H Yan, Y Huang, Y Zhu, H Sun, X Zhang, Y Wang, Y Qiu, SX Chen MedRxiv, 2020.04. 27.20081232, 2020 | 13 | 2020 |
Detecting rare and faint signals via thresholding maximum likelihood estimators Y Qiu, SX Chen, D Nettleton The Annals of Statistics 46 (2), 895-923, 2018 | 11 | 2018 |
KAT4IA: K-means assisted training for image analysis of field-grown plant phenotypes X Guo, Y Qiu, D Nettleton, CT Yeh, Z Zheng, S Hey, PS Schnable Plant Phenomics, 2021 | 10 | 2021 |