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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 Time‐Series Energy Data in Buildings Using an Additive Artificial Intelligence Model for Improving Energy Efficiency
Ngoc-Son Truong, Ngoc-Tri Ngo, Anh‐Duc Pham
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 23

Showing 23 citing articles:

A Systematic Review on the Use of AI for Energy Efficiency and Indoor Environmental Quality in Buildings
James Ogundiran, Ehsan Asadi, Manuel Gameiro da Silva
Sustainability (2024) Vol. 16, Iss. 9, pp. 3627-3627
Open Access | Times Cited: 7
Artificial intelligence in building life cycle assessment
Darya Gachkar, Sadaf Gachkar, Antonio García Martínez, et al.
Architectural Science Review (2024), pp. 1-19
Closed Access | Times Cited: 6
Leveraging advanced ensemble models to increase building energy performance prediction accuracy in the residential building sector
Koray Konhäuser, Simon Wenninger, Tim Werner, et al.
Energy and Buildings (2022) Vol. 269, pp. 112242-112242
Closed Access | Times Cited: 25
A GA-stacking ensemble approach for forecasting energy consumption in a smart household: A comparative study of ensemble methods
Mahziyar Dostmohammadi, Mona Zamani Pedram, Siamak Hoseinzadeh, et al.
Journal of Environmental Management (2024) Vol. 364, pp. 121264-121264
Open Access | Times Cited: 5
Adaptive single-layer aggregation framework for energy-efficient and privacy-preserving load forecasting in heterogeneous Federated smart grids
Habib Ullah Manzoor, Atif Jafri, Ahmed Zoha
Internet of Things (2024), pp. 101376-101376
Open Access | Times Cited: 5
Reducing Emissions Using Artificial Intelligence in the Energy Sector: A Scoping Review
Janne Alatalo, Eppu Heilimo, Mika Rantonen, et al.
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 999-999
Open Access
Türkiye’nin Kimyasal Madde İthalatının Gelecek Tahmini: Makine Öğrenmesi ve Topluluk Öğrenme Yöntemleri Performans Analizi
Kâmil Abdullah Eşidir
Fırat Üniversitesi Sosyal Bilimler Dergisi (2025) Vol. 35, Iss. 1, pp. 261-278
Open Access
Interpretable Short-Term Electrical Load Forecasting Scheme Using Cubist
Jihoon Moon, Sungwoo Park, Seungmin Rho, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-20
Open Access | Times Cited: 18
Towards built environment Decarbonisation: A review of the role of Artificial intelligence in improving energy and Materials’ circularity performance
Bankole Awuzie, A.B. Ngowi, Douglas Aghimien
Energy and Buildings (2024) Vol. 319, pp. 114491-114491
Open Access | Times Cited: 3
A Review of Research on Building Energy Consumption Prediction Models Based on Artificial Neural Networks
Qing Yin, Chunmiao Han, Ailin Li, et al.
Sustainability (2024) Vol. 16, Iss. 17, pp. 7805-7805
Open Access | Times Cited: 3
Statistical and Artificial Intelligence-based Tools for Building Energy Prediction: A Systematic Literature Review
Razak Olu-Ajayi, Hafiz Alaka, Funlade Sunmola, et al.
IEEE Transactions on Engineering Management (2024) Vol. 71, pp. 14733-14753
Closed Access | Times Cited: 2
Data-Driven Building Energy Consumption Prediction Model Based on VMD-SA-DBN
Yongrui Qin, Meng Zhao, Qingcheng Lin, et al.
Mathematics (2022) Vol. 10, Iss. 17, pp. 3058-3058
Open Access | Times Cited: 8
Türkiye Hurda Demir Çelik İthalatının Gelecek Değerlerinin Derin Öğrenme, Makine Öğrenmesi ve Topluluk Öğrenme Yöntemleri ile Öngörülmesi
Yunus Emre Gür, Kâmil Abdullah Eşidir
Alanya Akademik Bakış (2024) Vol. 8, Iss. 3, pp. 885-908
Open Access | Times Cited: 1
Estimating the volume of civil construction materials by machine learning models
Vu Hong Son Pham, Ngo Luan Nguyen
Asian Journal of Civil Engineering (2023) Vol. 24, Iss. 7, pp. 2077-2088
Closed Access | Times Cited: 4
Estimating The Volume Of Civil Construction Materials By Machine Learning Models
Vu Hong Son Pham, Ngo Luan Nguyen
Research Square (Research Square) (2023)
Open Access | Times Cited: 3
Smart Building Energy Management using Deep Learning Based Predictions
M. Palak, G. Revati, A. Sheikh
2021 North American Power Symposium (NAPS) (2021), pp. 1-6
Closed Access | Times Cited: 7
Forecasting of Energy Consumption : Artificial Intelligence Methods
Tiago C. Brito, Miguel A. Brito
2022 17th Iberian Conference on Information Systems and Technologies (CISTI) (2022), pp. 1-4
Closed Access | Times Cited: 5
Predicting Vertical Daylight Illuminance Data From Measured Solar Irradiance: A Machine Learning-Based Luminous Efficacy Approach
Danny H.W. Li, Emmanuel Imuetinyan Aghimien
Journal of Solar Energy Engineering (2022) Vol. 145, Iss. 3
Closed Access | Times Cited: 5
Text-based algorithms for automating life cycle inventory analysis in building sector life cycle assessment studies
Sadaf Gachkar, Darya Gachkar, Erfan Ghofrani, et al.
Journal of Cleaner Production (2024), pp. 144448-144448
Closed Access
Data-Driven purchasing strategies: Price prediction models and strategy development
Seray MİRASÇI, Aslı Aksoy
Expert Systems with Applications (2024), pp. 125986-125986
Open Access
An Automated Machine Learning Approach towards Energy Saving Estimates in Public Buildings
Felix Bießmann, Bhaskar Kamble, Rita Streblow
Energies (2023) Vol. 16, Iss. 19, pp. 6799-6799
Open Access | Times Cited: 1
Time-Resolved Neural Network Surrogate Models as Digital Twins
Rajeev Kotha, François Lédée, Mohammad Haris Shamsi, et al.
Environmental science and engineering (2023), pp. 1519-1528
Closed Access | Times Cited: 1
Forecast of Water Structure Based on GM (1, 1) of the Gray System
Yanan Dong, Zheng Ren, Lian Hui Li
Scientific Programming (2022) Vol. 2022, pp. 1-7
Open Access | Times Cited: 2
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