| Changes in carbon intensity in China's industrial sector: decomposition and attribution analysis N Liu, Z Ma, J Kang Energy Policy 87, 28-38, 2015 | 159 | 2015 |
| Changes of energy-related GHG emissions in China: An empirical analysis from sectoral perspective X Xu, T Zhao, N Liu, J Kang Applied Energy 132, 298-307, 2014 | 135 | 2014 |
| A multi-sectoral decomposition analysis of city-level greenhouse gas emissions: case study of Tianjin, China J Kang, T Zhao, N Liu, X Zhang, X Xu, T Lin Energy 68, 562-571, 2014 | 109 | 2014 |
| A regional analysis of carbon intensities of electricity generation in China N Liu, Z Ma, J Kang Energy Economics 67, 268-277, 2017 | 102 | 2017 |
| Sensitivity analysis of technology and supply change for CO2 emission intensity of energy-intensive industries based on input–output model J Yan, T Zhao, J Kang Applied energy 171, 456-467, 2016 | 75 | 2016 |
| A multi-region multi-sector decomposition and attribution analysis of aggregate carbon intensity in China from 2000 to 2015 N Liu, Z Ma, J Kang, B Su Energy Policy 129, 410-421, 2019 | 39 | 2019 |
| Optimizing electricity mix for CO2 emissions reduction: A robust input-output linear programming model J Kang, TS Ng, B Su European Journal of Operational Research 287 (1), 280-292, 2020 | 38 | 2020 |
| Optimizing the Chinese Electricity Mix for CO2 Emission Reduction: An Input–Output Linear Programming Model with Endogenous Capital J Kang, TS Ng, B Su, R Yuan Environmental science & technology 54 (2), 697-706, 2019 | 38 | 2019 |
| Regional Characteristics of Impact Factors for Energy-Related CO2 Emissions in China, 1997–2010: Evidence from Tests for Threshold Effects Based on the … R Yuan, T Zhao, X Xu, J Kang Environmental Modeling & Assessment 20, 129-144, 2015 | 31 | 2015 |
| Using decomposition analysis to evaluate the performance of China’s 30 provinces in CO2 emission reductions over 2005–2009 J Kang, T Zhao, X Ren, T Lin Natural hazards 64, 999-1013, 2012 | 24 | 2012 |
| Electrifying light-duty passenger transport for CO2 emissions reduction: a stochastic-robust input–output linear programming model J Kang, TS Ng, B Su, A Milovanoff Energy Economics 104, 105623, 2021 | 17 | 2021 |
| A stochastic-robust optimization model for inter-regional power system planning J Kang, Z Wu, TS Ng, B Su European Journal of Operational Research 310 (3), 1234-1248, 2023 | 6 | 2023 |
| Cutting CO2 emissions through demand side regulation: Implications from multi-regional input—output linear programming model N Liu, J Kang, TS Ng, B Su Frontiers of Engineering Management 9 (3), 452-461, 2022 | 5 | 2022 |
| Modelling fortification strategies for network resilience optimization: The case of immunization and mitigation A Costa, TS Ng, J Kang, Z Wu, B Su IISE Transactions 56 (4), 411-423, 2024 | 4 | 2024 |
| A distributionally robust optimization model for building-integrated photovoltaic system expansion planning under demand and irradiance uncertainties Z Wu, J Kang, M Mosteiro-Romero, A Bartolini, TS Ng, B Su Applied Energy 372, 123740, 2024 | | 2024 |
| Input-output linear programming model for energy system planning K JIDONG National University of Singapore, 2020 | | 2020 |
| From Centralized to Decentralized Expansion Planning of Energy Community: A Stochastic-Robust Bilevel Optimization Approach J Kang, Y Fu, BC Xie, MR Martín, C Waibel Available at SSRN 4685218, 0 | | |
Bin Su (B. Su)Energy Studies Institute, National University of Singapore在 nus.edu.sg 的电子邮件经过验证
