| Energy demand side management within micro-grid networks enhanced by blockchain S Noor, W Yang, M Guo, KH Van Dam, X Wang Applied energy 228, 1385-1398, 2018 | 475 | 2018 |
| Review and outlook on the international renewable energy development L Li, J Lin, N Wu, S Xie, C Meng, Y Zheng, X Wang, Y Zhao Energy and Built Environment 3 (2), 139-157, 2022 | 345 | 2022 |
| Machine learning prediction of biochar yield and carbon contents in biochar based on biomass characteristics and pyrolysis conditions X Zhu, Y Li, X Wang Bioresource technology 288, 121527, 2019 | 338 | 2019 |
| Operational optimization and demand response of hybrid renewable energy systems X Wang, A Palazoglu, NH El-Farra Applied Energy 143, 324–335, 2015 | 332 | 2015 |
| The application of machine learning methods for prediction of metal sorption onto biochars X Zhu, X Wang, YS Ok Journal of hazardous materials 378, 120727, 2019 | 296 | 2019 |
| Design and management of a distributed hybrid energy system through smart contract and blockchain Y Li, W Yang, P He, C Chen, X Wang Applied Energy 248, 390-405, 2019 | 288 | 2019 |
| Prediction of soil heavy metal immobilization by biochar using machine learning KN Palansooriya, J Li, PD Dissanayake, M Suvarna, L Li, X Yuan, ... Environmental science & technology 56 (7), 4187-4198, 2022 | 274 | 2022 |
| Sustainable planning of the energy-water-food nexus using decision making tools N Bieber, JH Ker, X Wang, C Triantafyllidis, KH van Dam, ... Energy Policy 113, 584-607, 2018 | 263 | 2018 |
| Applied machine learning for prediction of CO2 adsorption on biomass waste-derived porous carbons X Yuan, M Suvarna, S Low, PD Dissanayake, KB Lee, J Li, X Wang, ... Environmental Science & Technology 55 (17), 11925-11936, 2021 | 234 | 2021 |
| Fuel properties of hydrochar and pyrochar: Prediction and exploration with machine learning J Li, L Pan, M Suvarna, YW Tong, X Wang Applied Energy 269, 115166, 2020 | 226 | 2020 |
| The impact of intelligent cyber-physical systems on the decarbonization of energy O Inderwildi, C Zhang, X Wang, M Kraft Energy & Environmental Science 13 (3), 744-771, 2020 | 173 | 2020 |
| Online prediction of mechanical properties of hot rolled steel plate using machine learning Q Xie, M Suvarna, J Li, X Zhu, J Cai, X Wang Materials & Design 197, 109201, 2021 | 167 | 2021 |
| Organic waste to biohydrogen: a critical review from technological development and environmental impact analysis perspective H Tian, J Li, M Yan, YW Tong, CH Wang, X Wang Applied Energy 256, 113961, 2019 | 160 | 2019 |
| Multi-task prediction and optimization of hydrochar properties from high-moisture municipal solid waste: Application of machine learning on waste-to-resource J Li, X Zhu, Y Li, YW Tong, YS Ok, X Wang Journal of Cleaner Production 278, 123928, 2021 | 158 | 2021 |
| Two-step machine learning enables optimized nanoparticle synthesis F Mekki-Berrada, Z Ren, T Huang, WK Wong, F Zheng, J Xie, IPS Tian, ... npj Computational Materials 7 (1), 55, 2021 | 156 | 2021 |
| An invertible crystallographic representation for general inverse design of inorganic crystals with targeted properties Z Ren, SIP Tian, J Noh, F Oviedo, G Xing, J Li, Q Liang, R Zhu, AG Aberle, ... Matter 5 (1), 314-335, 2022 | 151 | 2022 |
| Recurrent Neural Network-based Model Predictive Control for Continuous Pharmaceutical Manufacturing WC Wong, J Li, X Wang https://arxiv.org/abs/1807.09556, 2018 | 148 | 2018 |
| The COVID-19 pandemic necessitates a shift to a plastic circular economy X Yuan, X Wang, B Sarkar, YS Ok Nature Reviews Earth & Environment 2 (10), 659-660, 2021 | 138 | 2021 |
| AI applications through the whole life cycle of material discovery J Li, K Lim, H Yang, Z Ren, S Raghavan, PY Chen, T Buonassisi, X Wang Matter 3 (2), 393-432, 2020 | 137 | 2020 |
| Machine learning aided supercritical water gasification for H2-rich syngas production with process optimization and catalyst screening J Li, L Pan, M Suvarna, X Wang Chemical Engineering Journal 426, 131285, 2021 | 136 | 2021 |
Manu SuvarnaDoctoral Student, ETH Zurich在 chem.ethz.ch 的电子邮件经过验证
