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• Anaraki, S. A. M., Haeri, A., & Moslehi, F. (2021). A hybrid reciprocal model of PCA and K-means with an innovative approach of considering sub-datasets for the improvement of K-means initialization and step-by-step labeling to create clusters with high interpretability. Pattern Analysis and Applications, 1-16.
• Rahmani Cherati, M., Haeri, A., & Ghannadpour, S. F. (2021). Cryptocurrency direction forecasting using deep learning algorithms. Journal of Statistical Computation and Simulation, 1-15.
• Moslehi, F., & Haeri, A. (2021). A novel feature selection approach based on clustering algorithm. Journal of Statistical Computation and Simulation, 91(3), 581-604.
• Nazeriye, M., & Haeri, A. (2021). Proposing a new clustering approach aimed to energy consumption improvement. Journal of Ambient Intelligence and Humanized Computing, 1-19.
• Shahbazbegian, V., Hosseini-Motlagh, S. M., & Haeri, A. (2020). Integrated forward/reverse logistics thin-film photovoltaic power plant supply chain network design with uncertain data. Applied Energy, 277, 115538.
• Haeri, A. (2020). Analyzing safety level and recognizing flaws of commercial centers through data mining approach. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 234(3), 512-526.
• Moslehi, F., & Haeri, A. (2020). A novel hybrid wrapper–filter approach based on genetic algorithm, particle swarm optimization for feature subset selection. Journal of Ambient Intelligence and Humanized Computing, 11(3), 1105-1127.
• Rabiei, M., Hosseini-Motlagh, S. M., Haeri, A., & Minaei Bidgoli, B. (2020). Evolution of IT, Management and Industrial Engineering research: a topic model approach. Scientia Iranica.
• Nazeriye, M., Haeri, A., & Martinez-Alvarez, F. (2020). Analysis of the impact of residential property and equipment on building energy efficiency and consumption—a data mining approach. Applied Sciences, 10(10), 3589.
• Jalali Sepehr, M., Haeri, A., & Ghousi, R. (2019). Evaluation of the OECD countries’ healthcare system from the sustainable development perspective. International Journal of Industrial Engineering & Production Research, 30(4), 443-464.
• Moslehi, F., & Haeri, A. (2019). An evolutionary computation-based approach for feature selection. Journal of Ambient Intelligence and Humanized Computing, 1-13.
• Sepehr, M. J., Haeri, A., & Ghousi, R. (2019). A cross-country evaluation of energy efficiency from the sustainable development perspective. International Journal of Energy Sector Management.
• Rezaei, M., & Haeri, A. (2019). A heuristic method for choosing'virtual best'DMUs to enhance discrimination power of augmented DEA model. Scientia Iranica.
• Haeri, A. (2019). Performance Evaluation of the Provinces of Iran Reading To the Measures of Freight and Passenger Transportation. International Journal of Transportation Engineering, 7(1), 21-34.
• Hatefi, S. M., & Haeri, A. (2019). Evaluating hospital performance using an integrated balanced scorecard and fuzzy data envelopment analysis. Journal of Health Management & Informatics, 6(2), 66-76.
• Moslehi, F., Haeri, A., & Gholamian, M. R. (2019). Investigation of effective factors in expanding electronic payment in Iran using datamining techniques. Journal of Industrial and Systems Engineering, 12(2), 61-94.
• Rahmani, S., Haeri, A., & Hosseini‐Motlagh, S. M. (2020). Proposing channel coordination and horizontal cooperation in two competitive three‐echelon reverse supply chains. International Transactions in Operational Research, 27(3), 1447-1477.
• Haeri, A., Hosseini‐Motlagh, S. M., Ghatreh Samani, M. R., & Rezaei, M. (2020). A mixed resilient‐efficient approach toward blood supply chain network design. International Transactions in Operational Research, 27(4), 1962-2001.
Moslehi, F., Haeri, A., & Martínez-Álvarez, F. (2020). A novel hybrid GA–PSO framework for mining quantitative association rules. soft computing, 24(6), 4645-4666.
• Moslehi, F., & Haeri, A. (2020). A genetic algorithm-based framework for mining quantitative association rules without specifying minimum support and minimum confidence. Scientia Iranica, 27(3), 1316-1332.
• Moslehi, F., Haeri, A., & Gholamian, M. R. (2020). A novel selective clustering framework for appropriate labeling of clusters based on K-means algorithm. Scientia Iranica, 27(5), 2621-2634.
• Moslehi, F., aeri, A., & Moini, A. (2018). Analyze and investigate the use of electronic payment tools in Iran using data mining techniques, Journal of AI and Data Mining, 6 (2), 417-437.
• Danesh Asgari, S., Haeri, A., Jafari, M. (2018). A new approach for performance evaluation of energy-related enterprises, Energy Equipment and Systems, 6(1), 16-26.
•Sadat Rezaee, M., Haeri, A., & Nouri, S. (2018). Automotive Vendor's Performance Evaluation and Improvement Plan Presentation by Using a Data Envelopment Analysis. International Journal of Engineering, 31(2), 374-381.
• Rezaee, M., Haeri, A., & Noori, S., (2018). Using data envelopment analysis to evaluate the performances of food Production companies based on EFQM's criteria and to present an improvement plan, International Journal of Business Excellence, 14(2), 256-274.
• Haeri, A., Jafari, M., Danesh Asgari, S. (2018). Right indicators of urban railway system: combination of BSC and DEA model, International Journal of Transportation Engineering, 5(3), 275-299.
• Haeri, A. (2017). Proposing a quantitative approach to measure the success of energy management systems in accordance with ISO 50001: 2011 using an analytical hierarchy process (AHP). Energy Equipment and Systems, 5(4), 349-355.
• Haeri, A. (2017). Evaluation and comparison of crystalline silicon and thin-film photovoltaic solar cells technologies using data envelopment analysis, Journal of Materials Science: Materials in Electronics, 28 (23), 18183-1819.
• Yazdian, N., Noori, S., & Haeri, A. (2017). Proposing resource allocation approach for hospitals based on the initial efficiency by using data envelopment analysis, Journal of health management and informatics, 4(4), 101-106.
• Haeri, A. (2017) Identifying and assessment of training needs for wind farms employees, Energy Equipment and Systems, 5(2), 105-112.
• Danesh Asgari, S., Haeri, A., Jafari, M. (2017). Integration of balanced scorecard and three-stage data envelopment analysis approaches, Iranian Journal of Management Studies, 10(2), 527-550.
• Rabiei, M., Hosseini-Motlagh, S. M., & Haeri, A. (2017). Using text mining techniques for identifying research gaps and priorities: a case study of the environmental science in Iran. Scientometrics, 110, 815-842.
• Haeri, A., & Iranmanesh, S. H. (2017). Using classification techniques to recognize patterns of resource utilization in organizations. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 231(3), 523-539.
• Hatefi, S. M., Haeri, A., & Fasanghari, M. (2017). A slack analysis framework for IT risk processes management through risk IT framework. International Journal of Industrial and Systems Engineering, 26(1), 1-15.
• Haeri, A. (2016). Comprehensive plan for assessing and improving safety level of commercial centers towards the prevention of social and economical consequences of accidents. Safety science, 89, 263-273.
• Haeri, A., & Rezaie, K. (2016). An approach to evaluate resource utilization in energy management systems. Energy Sources, Part B: Economics, Planning, and Policy, 11(9), 855-860.
• Haeri, A., & Ghousi, R. (2016). Using data envelopment analysis (DEA) to improve the sales performance in Iranian agricultural clusters by utilizing business networks and business development services providers (BDSPs). Journal of Industrial and Systems Engineering, 9(3), 82-95.
• Hosseini-Motlagh, S. M., Ahadpour, P., & Haeri, A. (2015). Proposing an approach to calculate headway intervals to improve bus fleet scheduling using a data mining algorithm. Journal of Industrial and Systems Engineering, 8(4), 72-86.
• Haeri, A., Neghabi, S. M. M., Soleimani, G., & Anoosheh, M. (2015). Using data envelopment analysis to investigate the performance of industrial clusters to utilise resources. International Journal of Productivity and Quality Management, 16(2), 169-182.
• Haeri, A., Rezaie, K., & Amalnick, M. S. (2014). Developing a novel approach to assess the efficiency of resource utilisation in organisations: a case study for an automotive supplier. International Journal of Production Research, 52(10), 2815-2833.
• Haeri, A., & Rezaie, K. (2014). Using data envelopment analysis to investigate the efficiency of resource utilisation and to develop an improvement plan. International journal of productivity and quality management, 13(1), 39-66.
• Haeri, A., Rezaie, K., & Amalnick, M. S. (2013). Using multi-objective DEA to assess the overall and partial performance of hierarchical resource Utilization. Research Journal of Applied Sciences, Engineering and Technology, 5(4), 1213-1224.
• Haeri, A., & Tavakoli-Moghaddam, R. (2012). Developing a hybrid data mining approach based on multi-objective particle swarm optimization for solving a traveling salesman problem. Journal of Business Economics and Management, 13(5), 951-967.
• Ebrahimipour, V., Haeri, A., Sheikhalishahi, M., Asadzadeh, S. M. (2012). Application of Multi-Objective Particle Swarm Optimization to Solve a Fuzzy Multi-Objective Reliability Redundancy Allocation Problem. Journal of Safety Engineering, 1(2): 26-38.
• Haeri, A., Rabbani, M., & Habibnia, A. (2011). The Proposed Mathematical Models For Decision-Making And Forecasting On Euro-Yen In Foreign Exchange Market. Iranian Economic Review, 16(30), 67-91.
• Haeri, A. (2017) Applying data envelopment analysis (DEA) to investigate about energy consumption in Iranian industrial units (in food industry), Energy Education Science and Technology Part A: Energy Science and Research, 35(1): 1-10.
• حائری، عبدالرحمن؛ سیدمرتضی هاتفی (1395). "شناسایی و اولویت بندی جنبه های کلیدی مربوط به فرایندهای کسب وکار در پلیس فتا"، توسعه سازمانی پلیس، شماره 57، صص 60-23.
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