| On asymptotics of eigenvectors of large sample covariance matrix ZD Bai, BQ Miao, GM Pan | 174 | 2007 |
| Circular law, extreme singular values and potential theory G Pan, W Zhou Journal of Multivariate Analysis 101 (3), 645-656, 2010 | 111 | 2010 |
| Universality for the largest eigenvalue of sample covariance matrices with general population Z Bao, G Pan, W Zhou | 108 | 2015 |
| Asymptotic performance of MMSE receivers for large systems using random matrix theory YC Liang, G Pan, ZD Bai IEEE Transactions on Information Theory 53 (11), 4173-4190, 2007 | 106 | 2007 |
| Central limit theorem for signal-to-interference ratio of reduced rank linear receiver GM Pan, W Zhou | 96 | 2008 |
| Limiting laws for divergent spiked eigenvalues and largest nonspiked eigenvalue of sample covariance matrices TT Cai, X Han, G Pan | 85 | 2020 |
| On the relationship between MMSE-SIC and BI-GDFE receivers for large multiple-input multiple-output channels YC Liang, EY Cheu, L Bai, G Pan IEEE Transactions on Signal Processing 56 (8), 3627-3637, 2008 | 85 | 2008 |
| Tracy-Widom law for the extreme eigenvalues of sample correlation matrices Z Bao, G Pan, W Zhou | 61 | 2012 |
| High dimensional correlation matrices: The central limit theorem and its applications J Gao, X Han, G Pan, Y Yang Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2017 | 60 | 2017 |
| Canonical correlation coefficients of high-dimensional Gaussian vectors: Finite rank case Z Bao, J Hu, G Pan, W Zhou The Annals of Statistics 47 (1), 612-640, 2019 | 54 | 2019 |
| Comparison between two types of large sample covariance matrices G Pan Annales de l'IHP Probabilités et statistiques 50 (2), 655-677, 2014 | 49 | 2014 |
| Independence test for high dimensional data based on regularized canonical correlation coefficients Y Yang, G Pan | 48 | 2015 |
| Convergence of the largest eigenvalue of normalized sample covariance matrices when and both tend to infinity with their ratio converging to zero BB Chen, GM Pan | 48 | 2012 |
| Shrinkage estimation of large dimensional precision matrix using random matrix theory C Wang, G Pan, T Tong, L Zhu Statistica Sinica, 993-1008, 2015 | 47 | 2015 |
| CENTRAL LIMIT THEOREM FOR HOTELLING'S T 2 STATISTIC UNDER LARGE DIMENSION GM Pan, W Zhou The Annals of Applied Probability, 1860-1910, 2011 | 43 | 2011 |
| On the performance of spectrum sensing algorithms using multiple antennas YC Liang, G Pan, Y Zeng 2010 IEEE Global Telecommunications Conference GLOBECOM 2010, 1-5, 2010 | 43 | 2010 |
| Estimating a change point in a sequence of very high-dimensional covariance matrices H Dette, G Pan, Q Yang Journal of the American Statistical Association 117 (537), 444-454, 2022 | 39 | 2022 |
| Testing independence among a large number of high-dimensional random vectors G Pan, J Gao, Y Yang Journal of the American Statistical Association 109 (506), 600-612, 2014 | 36 | 2014 |
| Nonparametric estimate of spectral density functions of sample covariance matrices: A first step BY Jing, G Pan, QM Shao, W Zhou | 36 | 2010 |
| The Tracy–Widom law for the largest eigenvalue of F type matrices X Han, G Pan, B Zhang | 35 | 2016 |
