| Worldwide performance assessment of 75 global clear-sky irradiance models using principal component analysis X Sun, JM Bright, CA Gueymard, B Acord, P Wang, NA Engerer Renewable and Sustainable Energy Reviews 111, 550-570, 2019 | 120 | 2019 |
| Worldwide performance assessment of 95 direct and diffuse clear-sky irradiance models using principal component analysis X Sun, JM Bright, CA Gueymard, X Bai, B Acord, P Wang Renewable and Sustainable Energy Reviews 135, 110087, 2021 | 62 | 2021 |
| CDF solutions of Buckley--Leverett equation with uncertain parameters P Wang, DM Tartakovsky, KD Jarman Jr, AM Tartakovsky Multiscale Modeling & Simulation 11 (1), 118-133, 2013 | 40 | 2013 |
| Bright-Sun: A globally applicable 1-min irradiance clear-sky detection model JM Bright, X Sun, CA Gueymard, B Acord, P Wang, NA Engerer Renewable and Sustainable Energy Reviews 121, 109706, 2020 | 38 | 2020 |
| Probability density function method for Langevin equations with colored noise P Wang, AM Tartakovsky, DM Tartakovsky Physical Review Letters 110 (14), 140602, 2013 | 32 | 2013 |
| Uncertainty quantification in kinematic-wave models P Wang, DM Tartakovsky Journal of computational Physics 231 (23), 7868-7880, 2012 | 32 | 2012 |
| Temperature estimation from current and voltage measurements in lithium-ion battery systems P Wang, L Yang, H Wang, DM Tartakovsky, S Onori Journal of Energy Storage 34, 102133, 2021 | 31 | 2021 |
| irradpy: Python package for MERRA-2 download, extraction and usage for clear-sky irradiance modelling JM Bright, X Bai, Y Zhang, X Sun, B Acord, P Wang Solar Energy 199, 685-693, 2020 | 28 | 2020 |
| Probabilistic density function method for stochastic ODEs of power systems with uncertain power input P Wang, DA Barajas-Solano, E Constantinescu, S Abhyankar, D Ghosh, ... SIAM/ASA Journal on Uncertainty Quantification 3 (1), 873-896, 2015 | 19 | 2015 |
| Effects of spatio‐temporal variability of precipitation on contaminant migration in the vadose zone P Wang, P Quinlan, DM Tartakovsky Geophysical research letters 36 (12), 2009 | 19 | 2009 |
| Flow enhancement of tomographic particle image velocimetry measurements using sequential data assimilation C He, P Wang, Y Liu, L Gan Physics of Fluids 34 (3), 2022 | 18 | 2022 |
| Reduced complexity models for probabilistic forecasting of infiltration rates P Wang, DM Tartakovsky Advances in water resources 34 (3), 375-382, 2011 | 16 | 2011 |
| Residual Gaussian process: A tractable nonparametric Bayesian emulator for multi-fidelity simulations WW Xing, AA Shah, P Wang, S Zhe, Q Fu, RM Kirby Applied Mathematical Modelling 97, 36-56, 2021 | 14 | 2021 |
| On predictability of solar irradiance X Yang, D Yang, JM Bright, GM Yagli, P Wang Journal of Renewable and Sustainable Energy 13 (5), 2021 | 14 | 2021 |
| Effects of spatial scale of atmospheric reanalysis data on clear-sky surface radiation modeling in tropical climates: A case study for Singapore X Sun, D Yang, CA Gueymard, JM Bright, P Wang Solar Energy 241, 525-537, 2022 | 10 | 2022 |
| Climatic and global validation of daily MODIS precipitable water data at AERONET sites for clear-sky irradiance modelling JM Bright, CA Gueymard, S Killinger, D Lingfors, X Sun, P Wang, ... 12th International Conference on Solar Energy for Buildings and Industry …, 2018 | 10 | 2018 |
| A new multi-task learning framework for fuel cell model outputs in high-dimensional spaces WW Xing, F Yu, PK Leung, X Li, P Wang, AA Shah Journal of Power Sources 482, 228930, 2021 | 9 | 2021 |
| Uncertainty quantification on the macroscopic properties of heterogeneous porous media P Wang, H Chen, X Meng, X Jiang, D Xiu, X Yang Physical Review E 98 (3), 033306, 2018 | 9 | 2018 |
| Probabilistic predictions of infiltration into heterogeneous media with uncertain hydraulic parameters P Wang, DM Tartakovsky International Journal for Uncertainty Quantification 1 (1), 2011 | 9 | 2011 |
| A universal compact model for spin-transfer torque-driven magnetization switching in magnetic tunnel junction X Yang, Y Zhang, P Wang IEEE Transactions on Electron Devices 69 (11), 6453-6458, 2022 | 5 | 2022 |
Daniel M. TartakovskyStanford University在 stanford.edu 的电子邮件经过验证
