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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Data mining with 12 machine learning algorithms for predict costs and carbon dioxide emission in integrated energy-water optimization model in buildings
Majid Emami Javanmard, S.F. Ghaderi, Mohamad Hoseinzadeh
Energy Conversion and Management (2021) Vol. 238, pp. 114153-114153
Closed Access | Times Cited: 63

Showing 1-25 of 63 citing articles:

Performance analysis of autonomous green energy system based on multi and hybrid metaheuristic optimization approaches
Aykut Fatih Güven, Mohamed Mahmoud Samy
Energy Conversion and Management (2022) Vol. 269, pp. 116058-116058
Closed Access | Times Cited: 117
Integrated model for optimal energy management and demand response of microgrids considering hybrid hydrogen-battery storage systems
Dalia Yousri, Hany E. Z. Farag, Hatem Zeineldin, et al.
Energy Conversion and Management (2023) Vol. 280, pp. 116809-116809
Closed Access | Times Cited: 88
Forecast energy demand, CO2 emissions and energy resource impacts for the transportation sector
Majid Emami Javanmard, Yidan Tang, Z. Wang, et al.
Applied Energy (2023) Vol. 338, pp. 120830-120830
Closed Access | Times Cited: 68
Development of fuzzy logic-based demand-side energy management system for hybrid energy sources
Oladimeji Ibrahim, Mutiu Shola Bakare, Temitope Ibrahim Amosa, et al.
Energy Conversion and Management X (2023) Vol. 18, pp. 100354-100354
Open Access | Times Cited: 53
Accurate multi-objective prediction of CO2 emission performance indexes and industrial structure optimization using multihead attention-based convolutional neural network
Fenger Wu, Jiaan He, Liangyu Cai, et al.
Journal of Environmental Management (2023) Vol. 337, pp. 117759-117759
Closed Access | Times Cited: 42
Predicting carbon dioxide emissions using deep learning and Ninja metaheuristic optimization algorithm
Anis Ben Ghorbal, Azedine Grine, Ibrahim Elbatal, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Strategic-level performance enhancement of a 660 MWe supercritical power plant and emissions reduction by AI approach
Waqar Muhammad Ashraf, Ghulam Moeen Uddin, Syed Muhammad Arafat, et al.
Energy Conversion and Management (2021) Vol. 250, pp. 114913-114913
Closed Access | Times Cited: 56
A Hybrid Model with Applying Machine Learning Algorithms and Optimization Model to Forecast Greenhouse Gas Emissions with Energy Market Data
Majid Emami Javanmard, S.F. Ghaderi
Sustainable Cities and Society (2022) Vol. 82, pp. 103886-103886
Closed Access | Times Cited: 56
Carbon Emission Prediction Model and Analysis in the Yellow River Basin Based on a Machine Learning Method
Jinjie Zhao, Lei Kou, Haitao Wang, et al.
Sustainability (2022) Vol. 14, Iss. 10, pp. 6153-6153
Open Access | Times Cited: 49
Industrial carbon emission efficiency prediction and carbon emission reduction strategies based on multi-objective particle swarm optimization-backpropagation: A perspective from regional clustering
Hongtao Jiang, Jian Yin, Danqi Wei, et al.
The Science of The Total Environment (2023) Vol. 906, pp. 167692-167692
Closed Access | Times Cited: 33
Energy demand forecasting in seven sectors by an optimization model based on machine learning algorithms
Majid Emami Javanmard, S.F. Ghaderi
Sustainable Cities and Society (2023) Vol. 95, pp. 104623-104623
Closed Access | Times Cited: 32
Modeling and forecasting CO2 emissions in China and its regions using a novel ARIMA-LSTM model
Tingxin Wen, Yazhou Liu, Yun Bai, et al.
Heliyon (2023) Vol. 9, Iss. 11, pp. e21241-e21241
Open Access | Times Cited: 29
Energy management and capacity planning of photovoltaic-wind-biomass energy system considering hydrogen-battery storage
Babangida Modu, Md Pauzi Abdullah, Abba Lawan Bukar, et al.
Journal of Energy Storage (2023) Vol. 73, pp. 109294-109294
Closed Access | Times Cited: 22
A comparative analysis of machine learning and statistical methods for evaluating building performance: A systematic review and future benchmarking framework
Abdulrahim Ali, Raja Jayaraman, Elie Azar, et al.
Building and Environment (2024) Vol. 252, pp. 111268-111268
Closed Access | Times Cited: 13
Incorporation of machine learning and deep neural network approaches into a remote sensing-integrated crop model for the simulation of rice growth
Seungtaek Jeong, Jonghan Ko, Taehwan Shin, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 27
Adaptive thermal load prediction in residential buildings using artificial neural networks
Mohammad Hossein Fouladfar, A. Soppelsa, Himanshu Nagpal, et al.
Journal of Building Engineering (2023) Vol. 77, pp. 107464-107464
Open Access | Times Cited: 20
Prediction of GHG emissions from Chengdu Metro in the construction stage based on WOA-DELM
Zheng Chen, Yalin Guo, Chun Guo
Tunnelling and Underground Space Technology (2023) Vol. 139, pp. 105235-105235
Closed Access | Times Cited: 18
Decarbonization potentials of the embodied energy use and operational process in buildings: A review from the life-cycle perspective
Yumin Liang, Chang-Qi Li, Zhichao Liu, et al.
Heliyon (2023) Vol. 9, Iss. 10, pp. e20190-e20190
Open Access | Times Cited: 18
Ensemble framework for daily carbon dioxide emissions forecasting based on the signal decomposition–reconstruction model
Chao Song, Tao Wang, Xiaohong Chen, et al.
Applied Energy (2023) Vol. 345, pp. 121330-121330
Closed Access | Times Cited: 17
Operational strategy optimization of an existing ground source heat pump (GSHP) system using an XGBoost surrogate model
Chaoran Wang, Yu Xiong, Chanjuan Han
Energy and Buildings (2024) Vol. 318, pp. 114444-114444
Closed Access | Times Cited: 6
Deciphering the nonlinear and synergistic role of building energy variables in shaping carbon emissions: A LightGBM- SHAP framework in office buildings
Congyue Zhou, Zhu Wang, Xuanli Wang, et al.
Building and Environment (2024) Vol. 266, pp. 112035-112035
Closed Access | Times Cited: 5
A hybrid forecasting model to improve cost prediction accuracy in green building projects with machine learning
Zhijiang Wu, Mengyao Liu, Guofeng Ma, et al.
Engineering Construction & Architectural Management (2025)
Closed Access
Unveiling the industrial synergy optimization pathways in Beijing-Tianjin-Hebei urban agglomeration based on water-energy-carbon nexus
Shengnan Li, Nan Xiang, Chang Shu, et al.
Journal of Environmental Management (2025) Vol. 376, pp. 124528-124528
Closed Access
Estimation of energetic and exergetic performances of new-generation alternative to the R404A refrigerants in vapor compression refrigeration system
Arzu Şencan Şahin, Ragıp Yıldırım
Journal of Thermal Analysis and Calorimetry (2025)
Open Access
Dynamic prediction and quantitative assessment of carbon emissions from animal husbandry: A case study of inner mongolia autonomous region, China
Jikang Luo, Zhao Zhen, Jing Pang
Journal of Environmental Quality (2025)
Closed Access
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