Ping‐Shou Zhong

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 6 papers. Top paper: “Unified Tests for Nonparametric Functions in RKHS With Kernel Selection and Regularization”.

Unified Tests for Nonparametric Functions in RKHS With Kernel Selection and Regularization

Statistica Sinica(2021)10.5705/ss.202020.0339

N/A

0DataRank · unranked

4 citations

Ping‐Shou Zhong, Yuehua Cui, V. Mandrekar, Tao He

Functional varying-coefficient model under heteroskedasticity with application to DTI data

arXiv (Cornell University)(2022)10.48550/arxiv.2207.08373

N/A

0DataRank · unranked

1 citations

Ping‐Shou Zhong, Xiaohong Joe Zhou, Pratim Guha Niyogi

Homogeneity Tests of Covariance for High-Dimensional Functional Data with Applications to Event Segmentation

Biometrics(2023)10.1111/biom.13844

N/A

0DataRank · unranked

1 citations

Ping‐Shou Zhong

Quadratic inference with dense functional responses

Journal of Multivariate Analysis(2024)10.1016/j.jmva.2024.105400

N/A

0DataRank · unranked

1 citations

Ping‐Shou Zhong, Pratim Guha Niyogi

Functional Varying-Coefficient Model Under Heteroskedasticity with Application to DTI Data

Statistica Sinica(2024)10.5705/ss.202023.0366

N/A

0DataRank · unranked

0 citations

Ping‐Shou Zhong, Xiaohong Joe Zhou, Pratim Guha Niyogi

Nonparametric Inference of Conditional Expectile Functions in Large‐Scale Time Series Data With Improved Efficiency

Journal of Time Series Analysis(2025)10.1111/jtsa.70021

N/A

0DataRank · unranked

0 citations

Ping‐Shou Zhong, Feipeng Zhang