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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:

Forecasting building energy consumption: Adaptive long-short term memory neural networks driven by genetic algorithm
Xiaojun Luo, Lukumon O. Oyedele
Advanced Engineering Informatics (2021) Vol. 50, pp. 101357-101357
Closed Access | Times Cited: 113

Showing 1-25 of 113 citing articles:

Robust framework based on hybrid deep learning approach for short term load forecasting of building electricity demand
Charan Sekhar, Ratna Dahiya
Energy (2023) Vol. 268, pp. 126660-126660
Closed Access | Times Cited: 109
Conversational artificial intelligence in the AEC industry: A review of present status, challenges and opportunities
Abdullahi B. Saka, Lukumon O. Oyedele, Lukman Akanbi, et al.
Advanced Engineering Informatics (2023) Vol. 55, pp. 101869-101869
Open Access | Times Cited: 80
Energy consumption and carbon emissions forecasting for industrial processes: Status, challenges and perspectives
Yusha Hu, Yi Man
Renewable and Sustainable Energy Reviews (2023) Vol. 182, pp. 113405-113405
Closed Access | Times Cited: 80
Short-term building electrical load forecasting using adaptive neuro-fuzzy inference system (ANFIS)
Chaouki Ghenaï, Omar Ahmed Al-Mufti, Omar Adil Mashkoor Al-Isawi, et al.
Journal of Building Engineering (2022) Vol. 52, pp. 104323-104323
Closed Access | Times Cited: 68
Office building energy consumption forecast: Adaptive long short term memory networks driven by improved beluga whale optimization algorithm
Zengxi Feng, Jianhu An, Mingyue Han, et al.
Journal of Building Engineering (2024) Vol. 91, pp. 109612-109612
Closed Access | Times Cited: 14
Optimizing the sustainable performance of public buildings: A hybrid machine learning algorithm
Wen Xu, Xianguo Wu, Shishu Xiong, et al.
Energy (2025), pp. 135283-135283
Closed Access | Times Cited: 1
Genetic algorithm-assisted an improved AdaBoost double-layer for oil temperature prediction of TBM
Jianji Ren, Zhenxi Wang, Yong Pang, et al.
Advanced Engineering Informatics (2022) Vol. 52, pp. 101563-101563
Closed Access | Times Cited: 47
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
Building energy consumption prediction and optimization using different neural network-assisted models; comparison of different networks and optimization algorithms
Sadegh Afzal, Afshar Shokri, Behrooz M. Ziapour, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107356-107356
Closed Access | Times Cited: 36
PSO-Stacking improved ensemble model for campus building energy consumption forecasting based on priority feature selection
Yisheng Cao, Gang Liu, Jianping Sun, et al.
Journal of Building Engineering (2023) Vol. 72, pp. 106589-106589
Closed Access | Times Cited: 32
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
Dynamic adaptive encoder-decoder deep learning networks for multivariate time series forecasting of building energy consumption
Jing Guo, Penghui Lin, Limao Zhang, et al.
Applied Energy (2023) Vol. 350, pp. 121803-121803
Closed Access | Times Cited: 31
Energy consumption predictions by genetic programming methods for PCM integrated building in the tropical savanna climate zone
Kashif Nazir, Shazim Ali Memon, Assemgul Saurbayeva, et al.
Journal of Building Engineering (2023) Vol. 68, pp. 106115-106115
Closed Access | Times Cited: 26
A hybrid forecasting method for cooling load in large public buildings based on improved long short term memory
Zongyi Liu, Junqi Yu, Chunyong Feng, et al.
Journal of Building Engineering (2023) Vol. 76, pp. 107238-107238
Closed Access | Times Cited: 26
Uncertainty management in electricity demand forecasting with machine learning and ensemble learning: Case studies of COVID-19 in the US metropolitans
Mohammed Rashad Baker, Kamal H. Jihad, Hussein Al-bayaty, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106350-106350
Closed Access | Times Cited: 23
Optimization of LSTM Parameters for Flash Flood Forecasting Using Genetic Algorithm
You-Da Jhong, Chang‐Shian Chen, Bing-Chen Jhong, et al.
Water Resources Management (2024) Vol. 38, Iss. 3, pp. 1141-1164
Closed Access | Times Cited: 14
Data-Driven Energy Consumption Prediction of a University Office Building using Machine Learning Algorithms
Hasan Yeşilyurt, Yeşim DOKUZ, Ahmet Şakir Dokuz
Energy (2024), pp. 133242-133242
Closed Access | Times Cited: 8
Forecasting solar-thermal systems performance under transient operation using a data-driven machine learning approach based on the deep operator network architecture
Julián D. Osorio, Zhicheng Wang, George Em Karniadakis, et al.
Energy Conversion and Management (2021) Vol. 252, pp. 115063-115063
Open Access | Times Cited: 40
An intelligent HVAC control strategy for supplying comfortable and energy-efficient school environment
Jihyeon Cho, Yeonsook Heo, Jin Woo Moon
Advanced Engineering Informatics (2023) Vol. 55, pp. 101895-101895
Closed Access | Times Cited: 18
ARIMA-AdaBoost hybrid approach for product quality prediction in advanced transformer manufacturing
Chun-Hua Chien, Amy J.C. Trappey, Chien-Chih Wang
Advanced Engineering Informatics (2023) Vol. 57, pp. 102055-102055
Closed Access | Times Cited: 18
Enhancing multi-scenario data-driven energy consumption prediction in campus buildings by selecting appropriate inputs and improving algorithms with attention mechanisms
Chengyu Zhang, Zhiwen Luo, Yacine Rezgui, et al.
Energy and Buildings (2024) Vol. 311, pp. 114133-114133
Closed Access | Times Cited: 7
Research on the combined forecasting model of cooling load based on IVMD-WOA-LSSVM
Meng Zhou, Junqi Yu, Meng Wang, et al.
Energy and Buildings (2024) Vol. 317, pp. 114339-114339
Closed Access | Times Cited: 7
Statistical and machine learning approaches for energy efficient buildings
John A. Paravantis, Sonia Malefaki, Pantelis G. Nikolakopoulos, et al.
Energy and Buildings (2025), pp. 115309-115309
Closed Access
Enhancing HVAC Energy Efficiency Modeling in Semiconductor Manufacturing Facilities Using Tree-Structured Parzen Estimator-Optimized Deep Learning
H. Ni, Chi‐Yun Liu, Yanlin Li, et al.
Building and Environment (2025), pp. 112589-112589
Closed Access
Comparative Analysis of Deep Learning Algorithms for Predicting Construction Project Delays in Saudi Arabia
Saleh Alsulamy
Applied Soft Computing (2025), pp. 112890-112890
Closed Access
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