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1. Nash Bargaining Game Enhanced Global Malmquist Productivity Index for Cross-Productivity Index. (2024). Tan, Yong ; Fallahnejad, Reza ; Wanke, Peter Fernandes ; Mozaffari, Mohammad Reza.
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   RePEc:gam:jgames:v:15:y:2024:i:1:p:3-:d:1325175.

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2. Assessing airline efficiency with a network DEA model: A Z-number approach with shared resources, undesirable outputs, and negative data. (2024). Imanirad, Raha ; Omrani, Hashem ; Yang, Zijiang.
   In: Socio-Economic Planning Sciences.
   RePEc:eee:soceps:v:96:y:2024:i:c:s0038012124002805.

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3. Combination of top-down and bottom-up DEA models using PCA: A two-stage network DEA with shared input and undesirable output for evaluation of the road transport sector. (2023). Yang, Zijiang ; Teplova, Tamara ; Omrani, Hashem ; Karbasian, Arash.
   In: Socio-Economic Planning Sciences.
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4. Limiting flexibility in nonparametric efficiency evaluations: An ex post k-centroid clustering approach. (2023). Bogetoft, Peter ; Afsharian, Mohsen.
   In: European Journal of Operational Research.
   RePEc:eee:ejores:v:311:y:2023:i:2:p:633-647.

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5. Cross Malmquist Productivity Index in Data Envelopment Analysis. (2022). Fallahnejad, Reza ; Lotfi, Farhad Hosseinzadeh ; Homayoni, Ali.
   In: 4OR.
   RePEc:spr:aqjoor:v:20:y:2022:i:4:d:10.1007_s10288-021-00489-8.

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6. Carbon emission efficiency of thermal power generation in China: Empirical evidence from the micro-perspective of power plants. (2022). Fang, Tao ; Yu, Bolin.
   In: Energy Policy.
   RePEc:eee:enepol:v:165:y:2022:i:c:s030142152200180x.

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7. Service quality, technical efficiency and total factor productivity growth in Pakistans post-reform electricity distribution companies. (2021). Mirza, Faisal ; Bergland, Olvar ; Badar-Ul, Syed.
   In: Utilities Policy.
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8. A review of DEA approaches applying a common set of weights: The perspective of centralized management. (2021). Harms, Soren Guntram ; Afsharian, Mohsen ; Ahn, Heinz.
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   RePEc:eee:ejores:v:294:y:2021:i:1:p:3-15.

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9. A metafrontier-based yardstick competition mechanism for incentivising units in centrally managed multi-group organisations. (2020). Afsharian, Mohsen.
   In: Annals of Operations Research.
   RePEc:spr:annopr:v:288:y:2020:i:2:d:10.1007_s10479-019-03201-6.

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10. A data envelopment analysis game theory approach for constructing composite indicator: An application to find out development degree of cities in West Azarbaijan province of Iran. (2020). Fahimi, Pegah ; Omrani, Hashem ; Mahmoodi, Abdollah.
    In: Socio-Economic Planning Sciences.
    RePEc:eee:soceps:v:69:y:2020:i:c:s003801211730109x.

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11. Construct a composite indicator based on integrating Common Weight Data Envelopment Analysis and principal component analysis models: An application for finding development degree of provinces in Iran. (2019). Mamakani, Saeid Jafari ; Valipour, Mahsa ; Omrani, Hashem.
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12. A synthesized data envelopment analysis model and its application in resource efficiency evaluation and dynamic trend analysis. (2018). .
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13. Optimizing China’s energy consumption structure under energy and carbon constraints. (2018). Wang, Zhao-Hua ; Sun, Jiasen ; Li, Guo.
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14. A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency. (2017). Mardani, Abbas ; Khoshnoudi, Masoumeh ; Zavadskas, Edmundas Kazimieras ; Streimikiene, Dalia ; Jusoh, Ahmad.
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15. The relationship between enterprise efficiency in resource use and energy efficiency practices adoption. (2017). Perroni, Carlo ; da Silva, Wesley Vieira ; Gouvea, Sergio E ; de Lima, Edson Pinheiro.
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16. Assessing the efficiency dynamics of post reforms electric distribution utilities in Pakistan. (2017). Mirza, Faisal ; Ullah, Kafait ; Mushtaq, Iqra.
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17. A literature study for DEA applied to energy and environment. (2017). Yuan, Yan ; Sueyoshi, Toshiyuki ; Goto, Mika.
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18. A study of the operation efficiency and cost performance indices of power-supply companies in China based on a dynamic network slacks-based measure model. (2016). You, Yan Q ; Jie, Tao.
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19. Measuring the efficiency of energy-intensive industries across European countries. (2016). Doumpos, Michael ; Andriosopoulos, Kostas ; Makridou, Georgia ; Zopounidis, Constantin.
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20. A Novel Electric Power Plants Performance Assessment Technique Based on Genetic Programming Approach. (2014). Barazande, Morteza ; Razaghi, Hamid ; Hafezi, Davood ; Ansarinejad, Ayyub ; Ghomi, Ahmad Attari.
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21. Unified Efficiency Measurement of Electric Power Supply Companies in China. (2014). Li, Jinying ; Zheng, Fengting .
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22. Review of energy models to the development of an efficient industrial energy model. (2014). Olanrewaju, O. A, ; Jimoh, A. A, .
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23. Power industry restructuring and eco-efficiency changes: A new slacks-based model in Malmquist–Luenberger Index measurement. (2014). Munisamy, Susila ; Shadman, Foroogh ; Arabi, Behrouz ; Emrouznejad, Ali.
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24. What is the best practice for benchmark regulation of electricity distribution? Comparison of DEA, SFA and StoNED methods. (2013). Kuosmanen, Timo ; Sipilainen, Timo ; Saastamoinen, Antti.
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25. Operational synergy in the US electric utility industry under an influence of deregulation policy: A linkage to financial performance and corporate value. (2011). Sueyoshi, Toshiyuki ; Goto, Mika.
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26. A Neuro-fuzzy-stochastic frontier analysis approach for long-term natural gas consumption forecasting and behavior analysis: The cases of Bahrain, Saudi Arabia, Syria, and UAE. (2011). Nadimi, V. ; Asadzadeh, S. M. ; Sheikalishahi, M. ; Saberi, M. ; Tajvidi, A. ; Azadeh, A..
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27. Prospective national and regional environmental performance: Boundary estimations using a combined data envelopment – stochastic frontier analysis approach. (2010). Vaninsky, Alexander.
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28. Performance analysis of US coal-fired power plants by measuring three DEA efficiencies. (2010). Sueyoshi, Toshiyuki ; Ueno, Takahiro ; Goto, Mika.
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29. Should the US clean air act include CO2 emission control?: Examination by data envelopment analysis. (2010). Sueyoshi, Toshiyuki ; Goto, Mika.
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    RePEc:eee:enepol:v:38:y:2010:i:10:p:5902-5911.

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