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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:

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: 133

Showing 1-25 of 133 citing articles:

A machine learning approach on the relationship among solar and wind energy production, coal consumption, GDP, and CO2 emissions
Cosimo Magazzino, Marco Mele, Nicolas Schneider
Renewable Energy (2020) Vol. 167, pp. 99-115
Closed Access | Times Cited: 316
Energy consumption prediction by using machine learning for smart building: Case study in Malaysia
Mel Keytingan M. Shapi, Nor Azuana Ramli, Lilik Jamilatul Awalin
Developments in the Built Environment (2020) Vol. 5, pp. 100037-100037
Open Access | Times Cited: 171
Application of machine learning in thermal comfort studies: A review of methods, performance and challenges
Zahra Qavidel Fard, Zahra Sadat Zomorodian, Sepideh Sadat Korsavi
Energy and Buildings (2021) Vol. 256, pp. 111771-111771
Open Access | Times Cited: 140
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: 122
Predictive modeling of PV solar power plant efficiency considering weather conditions: A comparative analysis of artificial neural networks and multiple linear regression
Gökhan Şahin, Gültekin Işık, Wilfried van Sark
Energy Reports (2023) Vol. 10, pp. 2837-2849
Open Access | Times Cited: 48
Residential building energy consumption estimation: A novel ensemble and hybrid machine learning approach
Behnam Sadaghat, Sadegh Afzal, Ali Javadzade Khiavi
Expert Systems with Applications (2024) Vol. 251, pp. 123934-123934
Closed Access | Times Cited: 19
A review on machine learning algorithms to predict daylighting inside buildings
Mohammed Ayoub
Solar Energy (2020) Vol. 202, pp. 249-275
Closed Access | Times Cited: 110
100 Years of daylighting: A chronological review of daylight prediction and calculation methods
Mohammed Ayoub
Solar Energy (2019) Vol. 194, pp. 360-390
Closed Access | Times Cited: 102
Properties and modification of sustainable foam concrete including eco-friendly recycled powder from concrete waste
Dingyi Yang, Miao Liu, Zhibin Zhang, et al.
Case Studies in Construction Materials (2021) Vol. 16, pp. e00826-e00826
Open Access | Times Cited: 64
Thermal load prediction and operation optimization of office building with a zone-level artificial neural network and rule-based control
Jingfan Hu, Wandong Zheng, Sirui Zhang, et al.
Applied Energy (2021) Vol. 300, pp. 117429-117429
Closed Access | Times Cited: 58
A sustainable data-driven energy consumption assessment model for building infrastructures in resource constraint environment
Sunil Kumar Mohapatra, Sushruta Mishra, Hrudaya Kumar Tripathy, et al.
Sustainable Energy Technologies and Assessments (2022) Vol. 53, pp. 102697-102697
Closed Access | Times Cited: 47
Analysis of energy consumption prediction for office buildings based on GA-BP and BP algorithm
Lingling Zhang, Jiran Zhang, Panpan Ren, et al.
Case Studies in Thermal Engineering (2023) Vol. 50, pp. 103445-103445
Open Access | Times Cited: 37
India’s Green Energy Perspective: Critical Overview
Hardik Giri Gosai, Jagriti Patel, Palak Savalia, et al.
Advances in geographical and environmental sciences (2025), pp. 133-165
Closed Access | Times Cited: 1
Feasibility and performance study on hybrid air source heat pump system for ultra-low energy building in severe cold region of China
Wei Xu, Changping Liu, Angui Li, et al.
Renewable Energy (2019) Vol. 146, pp. 2124-2133
Closed Access | Times Cited: 72
A new method for calculating the embodied carbon emissions from buildings in schematic design: Taking “building element” as basic unit
Yujie Cang, Zhixing Luo, Liu Yang, et al.
Building and Environment (2020) Vol. 185, pp. 107306-107306
Closed Access | Times Cited: 61
Developing a parametric morphable annual daylight prediction model with improved generalization capability for the early stages of office building design
Yunsong Han, Linhai Shen, C. T. Sun
Building and Environment (2021) Vol. 200, pp. 107932-107932
Closed Access | Times Cited: 52
Modeling Energy Demand—A Systematic Literature Review
Paul Verwiebe, Stephan Seim, Simon Burges, et al.
Energies (2021) Vol. 14, Iss. 23, pp. 7859-7859
Open Access | Times Cited: 52
Investigating the effect of new and old weather data on the energy consumption of buildings affected by global warming in different climates
Ali Maboudi Reveshti, Abdolsalam Ebrahimpour, Jafar Razmara
International Journal of Thermofluids (2023) Vol. 19, pp. 100377-100377
Open Access | Times Cited: 22
Assessment of carbon footprint in Qatar's electricity sector: A comparative analysis across various building typologies
Ammar Abulibdeh, Rana N. Jawarneh, Talal Al‐Awadhi, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 189, pp. 114022-114022
Closed Access | Times Cited: 19
Short-Term Occupancy Forecasting for a Smart Home Using Optimized Weight Updates Based on GA and PSO Algorithms for an LSTM Network
Sameh Mahjoub, Sami Labdai, Larbi Chrifi‐Alaoui, et al.
Energies (2023) Vol. 16, Iss. 4, pp. 1641-1641
Open Access | Times Cited: 17
Predicting energy consumption of mosque buildings during the operation stage using deep learning approach
Maryam El-Maraghy, Mahmoud Metawie, Mahmoud Safaan, et al.
Energy and Buildings (2023) Vol. 303, pp. 113829-113829
Closed Access | Times Cited: 17
Influence of recycled concrete powder and CO2 curing on the properties of thermal insulation mortars
Zihan Zhou, Jianzhuang Xiao, Taohua Ye, et al.
Construction and Building Materials (2024) Vol. 414, pp. 134907-134907
Closed Access | Times Cited: 8
Development of a simulation-based ANN framework for predicting energy consumption metrics: a case study of an office building
Sogand Haghighat Roodkoly, Zahra Qavidel Fard, Mohammad Tahsildoost, et al.
Energy Efficiency (2024) Vol. 17, Iss. 1
Closed Access | Times Cited: 7
A Future Direction of Machine Learning for Building Energy Management: Interpretable Models
Luca Gugliermetti, Fabrizio Cumo, Sofia Agostinelli
Energies (2024) Vol. 17, Iss. 3, pp. 700-700
Open Access | Times Cited: 7
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: 7
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