Peng Lai

Prof. Dr. Peng Lai


Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 March 2025 in ACS Applied Materials & Interfaces
Verified
Journal Article
Closed access
PLPeng Lai
Peng Lai
YMYichao Ma
Yichao Ma
WSWeilin Sang
Weilin Sang
QZQiang Zhou
Qiang Zhou
HCHongjie Chen
Hongjie Chen
JMJinzhong Ma
Jinzhong Ma

1 February 2011 in Journal of Statistical Planning and Inference
Verified
Journal Article
Closed access
PLPeng Lai
Peng Lai
QWQihua Wang
Qihua Wang

6 January 2020 in Metrika
Verified
Journal Article
Closed access
PDF file
FSFengli Song
Fengli Song
PLPeng Lai
Peng Lai
BSBaohua Shen
Baohua Shen

22 September 2025 in Communications in Statistics - Simulation and Computation
Verified
Journal Article
Closed access
PLPeng Lai
Peng Lai
ZWZhou Wang
Zhou Wang
ZWZitong Wang
Zitong Wang

1 January 2017 in Chinese Journal of Space Science
Verified
Journal Article
Closed access
PDF file
KCKaiwen Chen
Kaiwen Chen
PLPeng Lai
Peng Lai
KZKai Zhao
Kai Zhao
YJYong Jiang
Yong Jiang
利用理想磁流体LFM模型的模拟数据,基于非参数统计方法对2004年11月14日03:00UT-07:00UT磁暴恢复相期间磁鞘等离子体平均密度进行建模.分析磁鞘等离子体平均密度与上游太阳风参数、行星际磁场参数及地磁扰动参数的统计关系,建立基于数据降维的经验模型.结果表明,电离层扰动强度因子、太阳风-磁层耦合强度因子和日地空间因果链耦合强度因子是影响磁鞘等离子体平均密度的三个主要方面.磁暴恢复相期间电离层上行离子是磁层环电流和磁尾等离子体的重要离子来源.建模分析过程表明,利用经验模型对空间物理过程开展建模,数据的严重多重共线性通常会导致模型的精度较差.而利用SIR和LPR建立的磁鞘等离子体平均密度随相关参数变化的经验模型可以有效解决该问题,具有较好的预测精度,统计特征显著.

5 May 2021 in Journal of Chemometrics
Verified
Journal Article
Closed access
PDF file
WXWenjun Xia
Wenjun Xia
LSLiwen Su
Liwen Su
PLPeng Lai
Peng Lai