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XIANG REN
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Cited by
Cited by
Year
Comparison of Machine Learning and Land Use Regression for fine scale spatiotemporal estimation of ambient air pollution: Modeling ozone concentrations across the contiguous …
X Ren, Z Mi, PG Georgopoulos
Environment international 142, 105827, 2020
1232020
Vine copula-based dependence description for multivariate multimode process monitoring
X Ren, Y Tian, S Li
Industrial & Engineering Chemistry Research 54 (41), 10001-10019, 2015
432015
Fault detection and diagnosis for nonlinear and non-Gaussian processes based on copula subspace division
X Ren, K Zhu, T Cai, S Li
Industrial & Engineering Chemistry Research 56 (40), 11545-11564, 2017
302017
Flexible Bayesian ensemble machine learning framework for predicting local ozone concentrations
X Ren, Z Mi, T Cai, CG Nolte, PG Georgopoulos
Environmental science & technology 56 (7), 3871-3883, 2022
282022
Sequential dependence modeling using Bayesian theory and D-vine copula and its application on chemical process risk prediction
X Ren, S Li, C Lv, Z Zhang
Industrial & Engineering Chemistry Research 53 (38), 14788-14801, 2014
242014
Predicting the frequency of abnormal events in chemical process with Bayesian theory and vine copula
C Lv, Z Zhang, X Ren, S Li
Journal of Loss Prevention in the Process Industries 32, 192-200, 2014
172014
Probabilistic weighted copula regression model with adaptive sample selection strategy for complex industrial processes
Y Zhou, X Ren, S Li
IEEE Transactions on Industrial Informatics 16 (11), 6972-6981, 2020
152020
Mixture of D-Vine copulas for chemical process monitoring
W Zheng, X Ren, N Zhou, D Jiang, S Li
Chemometrics and Intelligent Laboratory Systems 169, 19-34, 2017
142017
Development of a semi-mechanistic allergenic pollen emission model
T Cai, Y Zhang, X Ren, L Bielory, Z Mi, CG Nolte, Y Gao, LR Leung, ...
Science of the total environment 653, 947-957, 2019
122019
Enhancing quality of multivariate process monitoring based on vine copula and active learning strategy
Y Zhou, X Ren, S Li
Industrial & Engineering Chemistry Research 57 (23), 7961-7974, 2018
112018
Modeling effects of spatial heterogeneities and layered exposure interventions on the spread of COVID-19 across New Jersey
X Ren, CP Weisel, PG Georgopoulos
International journal of environmental research and public health 18 (22), 11950, 2021
62021
Socioexposomics of COVID-19 across New Jersey: a comparison of geostatistical and machine learning approaches
X Ren, Z Mi, PG Georgopoulos
Journal of Exposure Science & Environmental Epidemiology, 1-11, 2023
42023
Nonlinear non-Gaussian and multimode process monitoring-based multi-subspace vine copula and deep neural network
Y Zhou, X Ren, S Li
Industrial & Engineering Chemistry Research 59 (32), 14385-14397, 2020
42020
A modeling method based on artificial neural network with monotonicity knowledge as constraints
X Cheng, X Ren, S Ma, S Li
Chemometrics and Intelligent Laboratory Systems 145, 93-102, 2015
42015
Modeling past and future spatiotemporal distributions of airborne allergenic pollen across the contiguous United States
X Ren, T Cai, Z Mi, L Bielory, CG Nolte, PG Georgopoulos
Frontiers in Allergy 3, 959594, 2022
22022
Process monitoring method based on double-model and multi-subspace vine copula
Q Jia, H Deng, X Ren, S Li
Industrial & Engineering Chemistry Research 58 (27), 12137-12148, 2019
22019
Comments on “Rolling Pin Method: Efficient General Method of Joint Probability Modeling”
X Ren, K Zhu, S Li
Industrial & Engineering Chemistry Research 54 (8), 2414-2415, 2015
12015
Comparing RMB exchange rate forecasting accuracy based on dynamic BP neural network model and the ARMA Model
Z Ye, X Ren, Y Shan
J. Stock Forex Tradi. 5 (1), 2015
12015
Interpretable machine learning and systems modeling for air quality and public health
X Ren
Rutgers The State University of New Jersey, School of Graduate Studies, 2022
2022
Indoor ozone chemistry in a real-world study of urban apartments in the US
H Kipen, K Black, R Laumbach, K Mohan, C Weisel, P Georgopoulos, ...
16th Conference of the International Society of Indoor Air Quality and …, 2020
2020
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