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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:

An artificial neural network (ANN) expert system enhanced with the electromagnetism-based firefly algorithm (EFA) for predicting the energy consumption in buildings
Dac-Khuong Bui, Tuan Ngoc Nguyen, Tuan Ngo, et al.
Energy (2019) Vol. 190, pp. 116370-116370
Closed Access | Times Cited: 165

Showing 1-25 of 165 citing articles:

Artificial Neural Networks Based Optimization Techniques: A Review
Maher G. M. Abdolrasol, S. M. Suhail Hussain, Taha Selim Ustun, et al.
Electronics (2021) Vol. 10, Iss. 21, pp. 2689-2689
Open Access | Times Cited: 403
A deep learning framework for building energy consumption forecast
Nivethitha Somu, M. R. Gauthama Raman, Krithi Ramamritham
Renewable and Sustainable Energy Reviews (2020) Vol. 137, pp. 110591-110591
Closed Access | Times Cited: 331
Prediction and optimization of energy consumption in an office building using artificial neural network and a genetic algorithm
Marjan Ilbeigi, Mohammad Ghomeishi, Ali Dehghanbanadaki
Sustainable Cities and Society (2020) Vol. 61, pp. 102325-102325
Closed Access | Times Cited: 221
A Review of Artificial Intelligence Methods for Condition Monitoring and Fault Diagnosis of Rolling Element Bearings for Induction Motor
Omar AlShorman, Muhammad Irfan, Nordin Saad, et al.
Shock and Vibration (2020) Vol. 2020, pp. 1-20
Open Access | Times Cited: 162
Optimal sizing of renewable energy storage: A techno-economic analysis of hydrogen, battery and hybrid systems considering degradation and seasonal storage
Son Tay Le, Tuan Ngoc Nguyen, Dac-Khuong Bui, et al.
Applied Energy (2023) Vol. 336, pp. 120817-120817
Open Access | Times Cited: 150
A Global Best-guided Firefly Algorithm for Engineering Problems
Mohsen Zare, Mojtaba Ghasemi, Amir Zahedi, et al.
Journal of Bionic Engineering (2023) Vol. 20, Iss. 5, pp. 2359-2388
Closed Access | Times Cited: 109
Buildings' energy consumption prediction models based on buildings’ characteristics: Research trends, taxonomy, and performance measures
Amal A. Al-Shargabi, Abdulbasit Almhafdy, Dina M. Ibrahim, et al.
Journal of Building Engineering (2022) Vol. 54, pp. 104577-104577
Closed Access | Times Cited: 76
Predicting the energy consumption in buildings using the optimized support vector regression model
Wei Cai, Xiaodong Wen, Chaoen Li, et al.
Energy (2023) Vol. 273, pp. 127188-127188
Closed Access | Times Cited: 53
Can deep learning algorithms outperform benchmark machine learning algorithms in flood susceptibility modeling?
Binh Thai Pham, Chinh Luu, Tran Van Phong, et al.
Journal of Hydrology (2020) Vol. 592, pp. 125615-125615
Closed Access | Times Cited: 113
A hybrid method of cooling load forecasting for large commercial building based on extreme learning machine
Zhikun Gao, Junqi Yu, Anjun Zhao, et al.
Energy (2021) Vol. 238, pp. 122073-122073
Closed Access | Times Cited: 88
Teaching–learning-based metaheuristic scheme for modifying neural computing in appraising energy performance of building
Guofeng Zhou, Hossein Moayedi, Loke Kok Foong
Engineering With Computers (2020) Vol. 37, Iss. 4, pp. 3037-3048
Closed Access | Times Cited: 69
Evolutionary double attention-based long short-term memory model for building energy prediction: Case study of a green building
Zhikun Ding, Weilin Chen, Ting Hu, et al.
Applied Energy (2021) Vol. 288, pp. 116660-116660
Closed Access | Times Cited: 65
A review of the use of artificial intelligence methods in infrastructure systems
Lauren McMillan, Liz Varga
Engineering Applications of Artificial Intelligence (2022) Vol. 116, pp. 105472-105472
Open Access | Times Cited: 61
Data-driven performance analysis of a residential building applying artificial neural network (ANN) and multi-objective genetic algorithm (GA)
Seyed Mohammad Ebrahimi Saryazdi, Alireza Etemad, Ali Shafaat, et al.
Building and Environment (2022) Vol. 225, pp. 109633-109633
Open Access | Times Cited: 58
Building Energy Prediction Models and Related Uncertainties: A Review
Jiaqi Yu, Wen‐Shao Chang, Yu Dong
Buildings (2022) Vol. 12, Iss. 8, pp. 1284-1284
Open Access | Times Cited: 46
Inclusive Multiple Model Using Hybrid Artificial Neural Networks for Predicting Evaporation
Mohammad Ehteram, Fatemeh Panahi, Ali Najah Ahmed, et al.
Frontiers in Environmental Science (2022) Vol. 9
Open Access | Times Cited: 43
Short-term hybrid forecasting model of ice storage air-conditioning based on improved SVR
Renyin Cheng, Junqi Yu, Min Zhang, et al.
Journal of Building Engineering (2022) Vol. 50, pp. 104194-104194
Closed Access | Times Cited: 42
Digital Twin of HVAC system (HVACDT) for multiobjective optimization of energy consumption and thermal comfort based on BIM framework with ANN-MOGA
Haidar Hosamo Hosamo, Mohsen Hosamo, Henrik Kofoed Nielsen, et al.
Advances in Building Energy Research (2022) Vol. 17, Iss. 2, pp. 125-171
Open Access | Times Cited: 42
Short-term energy consumption prediction method for educational buildings based on model integration
Wen‐Qiang Cao, Junqi Yu, Mengyao Chao, et al.
Energy (2023) Vol. 283, pp. 128580-128580
Closed Access | Times Cited: 32
Machine learning for performance prediction in smart buildings: Photovoltaic self-consumption and life cycle cost optimization
Hashem Amini Toosi, Claudio Del Pero, Fabrizio Leonforte, et al.
Applied Energy (2023) Vol. 334, pp. 120648-120648
Open Access | Times Cited: 31
A comparative study of machine learning and deep learning methods for energy balance prediction in a hybrid building-renewable energy system
Mohammad Amin Mirjalili, Alireza Aslani, Rahim Zahedi, et al.
Sustainable Energy Research (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 22
Hybrid forecasting model of building cooling load based on combined neural network
Zhikun Gao, Siyuan Yang, Junqi Yu, et al.
Energy (2024) Vol. 297, pp. 131317-131317
Closed Access | Times Cited: 8
Design optimization of public building envelope based on multi-objective quantum genetic algorithm
Lihua He, Sheng Wang
Journal of Building Engineering (2024) Vol. 91, pp. 109714-109714
Closed Access | Times Cited: 8
Building heating load forecasting based on the theory of transient heat transfer and deep learning
Zekun Shi, Ruifan Zheng, Rendong Shen, et al.
Energy and Buildings (2024) Vol. 313, pp. 114290-114290
Closed Access | Times Cited: 7
Evaluation and improvement of energy consumption prediction models using principal component analysis based feature reduction
Tarannom Parhizkar, Elham Rafieipour, Aram Parhizkar
Journal of Cleaner Production (2020) Vol. 279, pp. 123866-123866
Closed Access | Times Cited: 60
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