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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:

A zone-level, building energy optimisation combining an artificial neural network, a genetic algorithm, and model predictive control
Jonathan Reynolds, Yacine Rezgui, Alan Kwan, et al.
Energy (2018) Vol. 151, pp. 729-739
Open Access | Times Cited: 226

Showing 1-25 of 226 citing articles:

Peer-to-peer energy systems for connected communities: A review of recent advances and emerging challenges
Wayes Tushar, Chau Yuen, Tapan Kumar Saha, et al.
Applied Energy (2020) Vol. 282, pp. 116131-116131
Open Access | Times Cited: 394
A review of strategies for building energy management system: Model predictive control, demand side management, optimization, and fault detect & diagnosis
Deyslen Mariano-Hernández, Luís Hernández-Callejo, Ángel Zorita-Lamadrid, et al.
Journal of Building Engineering (2020) Vol. 33, pp. 101692-101692
Open Access | Times Cited: 321
Model predictive control with adaptive machine-learning-based model for building energy efficiency and comfort optimization
Shiyu Yang, Man Pun Wan, Wanyu Chen, et al.
Applied Energy (2020) Vol. 271, pp. 115147-115147
Closed Access | Times Cited: 265
State of the art review on model predictive control (MPC) in Heating Ventilation and Air-conditioning (HVAC) field
Ye Yao, Divyanshu Kumar Shekhar
Building and Environment (2021) Vol. 200, pp. 107952-107952
Closed Access | Times Cited: 258
Data-driven predictive control for unlocking building energy flexibility: A review
Anjukan Kathirgamanathan, Маттиа Де Роса, Eleni Mangina, et al.
Renewable and Sustainable Energy Reviews (2020) Vol. 135, pp. 110120-110120
Open Access | Times Cited: 221
Artificial Intelligence Evolution in Smart Buildings for Energy Efficiency
Hooman Farzaneh, Ladan Malehmirchegini, Adrian Bejan, et al.
Applied Sciences (2021) Vol. 11, Iss. 2, pp. 763-763
Open Access | Times Cited: 182
Load demand forecasting of residential buildings using a deep learning model
Lulu Wen, Kaile Zhou, Shanlin Yang
Electric Power Systems Research (2019) Vol. 179, pp. 106073-106073
Closed Access | Times Cited: 174
Application and characterization of metamodels based on artificial neural networks for building performance simulation: A systematic review
Nadia D. Román, Facundo Bre, Vı́ctor D. Fachinotti, et al.
Energy and Buildings (2020) Vol. 217, pp. 109972-109972
Closed Access | Times Cited: 137
Reduced Simulative Performance Analysis of Variable Step Size ANN Based MPPT Techniques for Partially Shaded Solar PV Systems
Shaik Rafi Kiran, CH Hussaian Basha, Vishwa Pratap Singh, et al.
IEEE Access (2022) Vol. 10, pp. 48875-48889
Closed Access | Times Cited: 96
Advanced controls on energy reliability, flexibility and occupant-centric control for smart and energy-efficient buildings
Zhengxuan Liu, Xiang Zhang, Ying Sun, et al.
Energy and Buildings (2023) Vol. 297, pp. 113436-113436
Open Access | Times Cited: 59
Bat algorithm based control to decrease the control energy consumption and modified bat algorithm based control to increase the trajectory tracking accuracy in robots
José de Jesús Rubio
Neural Networks (2023) Vol. 161, pp. 437-448
Closed Access | Times Cited: 53
Multi-scale solar radiation and photovoltaic power forecasting with machine learning algorithms in urban environment: A state-of-the-art review
Jia Tian, Ryozo Ooka, Doyun Lee
Journal of Cleaner Production (2023) Vol. 426, pp. 139040-139040
Closed Access | Times Cited: 44
State of the art review on the HVAC occupant-centric control in different commercial buildings
Guanying Huang, S. Thomas Ng, Dezhi Li, et al.
Journal of Building Engineering (2024) Vol. 96, pp. 110445-110445
Closed Access | Times Cited: 26
Advances in emerging digital technologies for energy efficiency and energy integration in smart cities
Yuekuan Zhou, Jiangyang Liu
Energy and Buildings (2024) Vol. 315, pp. 114289-114289
Closed Access | Times Cited: 20
A comprehensive review of critical analysis of biodegradable waste PCM for thermal energy storage systems using machine learning and deep learning to predict dynamic behavior
Aman Sharma, Pradeep Kumar Singh, Emad Makki, et al.
Heliyon (2024) Vol. 10, Iss. 3, pp. e25800-e25800
Open Access | Times Cited: 17
Scientometric mapping of global research on the environmental performance of existing buildings: Advancements, challenges and prospects
Ping Guo, Jiwei Zhu, Jun Wang, et al.
Journal of Cleaner Production (2025), pp. 144774-144774
Closed Access | Times Cited: 1
Multi-objective optimization design of a complex building based on an artificial neural network and performance evaluation of algorithms
Binghui Si, Jianguo Wang, Xinyue Yao, et al.
Advanced Engineering Informatics (2019) Vol. 40, pp. 93-109
Closed Access | Times Cited: 137
Online Markov Chain-based energy management for a hybrid tracked vehicle with speedy Q-learning
Teng Liu, Bo Wang, Chenglang Yang
Energy (2018) Vol. 160, pp. 544-555
Closed Access | Times Cited: 136
Accuracy analyses and model comparison of machine learning adopted in building energy consumption prediction
Zhijian Liu, Di Wu, Yuanwei Liu, et al.
Energy Exploration & Exploitation (2019) Vol. 37, Iss. 4, pp. 1426-1451
Open Access | Times Cited: 130
Operational supply and demand optimisation of a multi-vector district energy system using artificial neural networks and a genetic algorithm
Jonathan Reynolds, Muhammad Waseem Ahmad, Yacine Rezgui, et al.
Applied Energy (2018) Vol. 235, pp. 699-713
Open Access | Times Cited: 118
A new comprehensive framework for the multi-objective optimization of building energy design: Harlequin
Fabrizio Ascione, Nicola Bianco, Gerardo Maria Mauro, et al.
Applied Energy (2019) Vol. 241, pp. 331-361
Closed Access | Times Cited: 109
Economic model predictive control for demand flexibility of a residential building
Christian Finck, Rongling Li, Wim Zeiler
Energy (2019) Vol. 176, pp. 365-379
Open Access | Times Cited: 105
An efficient metamodel-based method to carry out multi-objective building performance optimizations
Facundo Bre, Nadia D. Román, Vı́ctor D. Fachinotti
Energy and Buildings (2019) Vol. 206, pp. 109576-109576
Closed Access | Times Cited: 98
Energy Consumption Prediction Using Machine Learning; A Review
Amir Mosavi, Abdullah Bahmani
(2019)
Open Access | Times Cited: 79
Smart building management system: Performance specifications and design requirements
Roja Eini, Lauren Linkous, Nasibeh Zohrabi, et al.
Journal of Building Engineering (2021) Vol. 39, pp. 102222-102222
Closed Access | Times Cited: 76
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