1. Kunda D, Phiri H (2017) An approach for predicting CO2 emissions using data mining techniques. Int J Comput Appl 172:7–10
2. Wang F, Harindintwali JD, Yuan Z, Wang M, Wang F, Li S, Yin Z, Huang L, Fu Y, Li L, Chang SX, Zhang L, Rinklebe J, Yuan Z, Zhu Q, Xiang L, Tsang DCW, Xu L, Jiang X, Liu J, Wei N, Kastner M, Zou Y, Ok YS, Shen J, Peng D, Zhang W, Barceló D, Zhou Y, Bai Z, Li B, Zhang B, Wei K, Cao H, Tan Z, Zhao L, He X, Zheng J, Bolan N, Liu X, Huang C, Dietmann S, Luo M, Sun N, Gong J, Gong Y, Brahushi F, Zhang T, Xiao C, Li X, Chen W, Jiao N, Lehmann J, Zhu YG, Jin H, Schaffer A, Tiedje JM, Chen JM (2021) Technologies and perspectives for achieving carbon neutrality. Innovation 2(4):100180
3. Chen Y, Zhu X, Li K, Wei Y, Zheng Y, Wang H (2019) Chemical looping co-splitting of H2O-CO2 for efficient generation of syngas. ACS Sustain Chem Eng 7:15452–15462
4. Zhu X, Imtiaz Q, Donat F, Müller CR, Li F (2020) Chemical looping beyond combustion—a perspective. Energy Environ Sci 13:772–804
5. El-Nagar RA, Ghanem AA (2019) Syngas production, properties, and its importance, sustainable alternative syngas fuel. IntechOpen, pp 1–8