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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 driven model improved by multi-objective optimisation for prediction of building energy loads
Saleh Seyedzadeh, Farzad Pour Rahimian, Stephen Oliver, et al.
Automation in Construction (2020) Vol. 116, pp. 103188-103188
Open Access | Times Cited: 77

Showing 1-25 of 77 citing articles:

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: 319
Review of urban building energy modeling (UBEM) approaches, methods and tools using qualitative and quantitative analysis
Usman Ali, Mohammad Haris Shamsi, Cathal Hoare, et al.
Energy and Buildings (2021) Vol. 246, pp. 111073-111073
Open Access | Times Cited: 189
Prediction of heating and cooling loads based on light gradient boosting machine algorithms
Jiaxin Guo, Sining Yun, Yao Meng, et al.
Building and Environment (2023) Vol. 236, pp. 110252-110252
Closed Access | Times Cited: 56
Data-driven prediction and optimization toward net-zero and positive-energy buildings: A systematic review
SeyedehNiloufar Mousavi, María Guadalupe Villarreal-Marroquín, Mostafa Hajiaghaei–Keshteli, et al.
Building and Environment (2023) Vol. 242, pp. 110578-110578
Closed Access | Times Cited: 50
Automated machine learning-based framework of heating and cooling load prediction for quick residential building design
Chujie Lu, Sihui Li, Santhan Reddy Penaka, et al.
Energy (2023) Vol. 274, pp. 127334-127334
Closed Access | Times Cited: 40
Machine learning modelling for predicting non-domestic buildings energy performance: A model to support deep energy retrofit decision-making
Saleh Seyedzadeh, Farzad Pour Rahimian, Stephen Oliver, et al.
Applied Energy (2020) Vol. 279, pp. 115908-115908
Open Access | Times Cited: 128
Prediction of residential district heating load based on machine learning: A case study
Ziqing Wei, Tingwei Zhang, Yue Bao, et al.
Energy (2021) Vol. 231, pp. 120950-120950
Closed Access | Times Cited: 69
Machine learning for energy performance prediction at the design stage of buildings
Razak Olu-Ajayi, Hafiz Alaka, Ismail Sulaimon, et al.
Energy Sustainable Development/Energy for sustainable development (2021) Vol. 66, pp. 12-25
Open Access | Times Cited: 66
Artificial Neural Network for Predicting Building Energy Performance: A Surrogate Energy Retrofits Decision Support Framework
Haonan Zhang, Haibo Feng, Kasun Hewage, et al.
Buildings (2022) Vol. 12, Iss. 6, pp. 829-829
Open Access | Times Cited: 41
Application of the hybrid neural network model for energy consumption prediction of office buildings
Lize Wang, Dong Xie, Lifeng Zhou, et al.
Journal of Building Engineering (2023) Vol. 72, pp. 106503-106503
Closed Access | Times Cited: 31
Predicting Energy Consumption in Residential Buildings Using Advanced Machine Learning Algorithms
Fateme Dinmohammadi, Yuxuan Han, Mahmood Shafiee
Energies (2023) Vol. 16, Iss. 9, pp. 3748-3748
Open Access | Times Cited: 26
A Review of Data-Driven Building Energy Prediction
Huiheng Liu, Jin Rui Liang, Yanchen Liu, et al.
Buildings (2023) Vol. 13, Iss. 2, pp. 532-532
Open Access | Times Cited: 23
BIM Integration with XAI Using LIME and MOO for Automated Green Building Energy Performance Analysis
Abdul Mateen Khan, Muhammad Abubakar Tariq, Sardar Kashif Ur Rehman, et al.
Energies (2024) Vol. 17, Iss. 13, pp. 3295-3295
Open Access | Times Cited: 10
Review of the building energy performance gap from simulation and building lifecycle perspectives: Magnitude, causes and solutions
Zhihang Zheng, Jin Zhou, Zhu Jiaqin, et al.
Developments in the Built Environment (2024) Vol. 17, pp. 100345-100345
Open Access | Times Cited: 9
Data-driven performance analysis of an active chilled beam air conditioning system: A machine learning approach for energy efficiency and predictive maintenance
Nima Hajimirza Amin, Alireza Etemad, Ashkan Abdalisousan
Results in Engineering (2024) Vol. 23, pp. 102747-102747
Open Access | Times Cited: 8
Building Heating and Cooling Load Prediction Using Ensemble Machine Learning Model
Rajasekhar Chaganti, Furqan Rustam, Talal Daghriri, et al.
Sensors (2022) Vol. 22, Iss. 19, pp. 7692-7692
Open Access | Times Cited: 32
Reinforcement learning approach for optimal control of ice-based thermal energy storage (TES) systems in commercial buildings
Xiao Wang, Xuyuan Kang, Jingjing An, et al.
Energy and Buildings (2023) Vol. 301, pp. 113696-113696
Closed Access | Times Cited: 19
Multi-objective optimization of building energy consumption and thermal comfort based on SVR-NSGA-II
Ailing Wang, Ying Xiao, Chunlu Liu, et al.
Case Studies in Thermal Engineering (2024), pp. 105368-105368
Open Access | Times Cited: 6
Optimizing HVAC Efficiency And Reliability: A Review Of Management Strategies For Commercial And Industrial Buildings
Muhammad Mohiul Islam, Shaikh Shofiullah
SSRN Electronic Journal (2025)
Closed Access
Proof of Carbon Reduction: A Novel Incentive Mechanism in Blockchain for Carbon Emissions Reduction in Construction
Juan Wang, Xiao Li, Chen Chen, et al.
Building and Environment (2025) Vol. 272, pp. 112684-112684
Closed Access
Evaluating the Performance of Machine Learning Models for Energy Load Prediction in Residential HVAC Systems
Paul Boadu Asamoah, Ekundayo Shittu
Energy and Buildings (2025), pp. 115517-115517
Closed Access
Machine learning application in building energy consumption prediction: A comprehensive review
Jingsong Ji, Hao Yu, Xudong Wang, et al.
Journal of Building Engineering (2025), pp. 112295-112295
Closed Access
Generative BIM workspace for AEC conceptual design automation: prototype development
Sepehr Abrishami, Jack Steven Goulding, Farzad Pour Rahimian
Engineering Construction & Architectural Management (2020) Vol. 28, Iss. 2, pp. 482-509
Open Access | Times Cited: 40
An integrated building energy performance evaluation method: From parametric modeling to GA-NN based energy consumption prediction modeling
Xiang Li, Sha Liu, Lu Zhao, et al.
Journal of Building Engineering (2021) Vol. 45, pp. 103571-103571
Open Access | Times Cited: 37
Offshore Wind Power Forecasting—A New Hyperparameter Optimisation Algorithm for Deep Learning Models
Shahram Hanifi, Saeid Lotfian, Hossein Zare‐Behtash, et al.
Energies (2022) Vol. 15, Iss. 19, pp. 6919-6919
Open Access | Times Cited: 26
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