Dr. Yueting Ding's research lies at the intersection of energy system resilience, sustainable transition policy, and environmental governance. Her work investigates how large-scale energy infrastructures - particularly oil, natural gas, and solar systems - respond to supply shocks, spatial disparities, and policy interventions. She employs a range of quantitative methods, including spatial econometrics, system dynamics modeling, and deep learning-based forecasting, to assess system vulnerabilities and adaptation pathways under scenarios of uncertainty and disruption. Her recent publications explore topics such as the spatial determinants of solar energy deployment in both the U.S. and China, the resilience of China’s natural gas and oil import networks under geopolitical stress, and the environmental and socioeconomic drivers of air pollution in megaregions like Beijing–Tianjin–Hebei. Additionally, she has contributed to the theoretical and methodological development of resilience thinking in energy research, emphasizing its policy relevance for decarbonization, energy security, and equitable transition. Her research is driven by a commitment to informing integrated and adaptive energy strategies under the dual imperatives of climate action and sustainable development.