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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 of different machine learning algorithms and added-value of predicting aggregated-level energy performance of commercial buildings
Shalika Walker, Waqas Khan, Katarina Katić, et al.
Energy and Buildings (2019) Vol. 209, pp. 109705-109705
Open Access | Times Cited: 154

Showing 1-25 of 154 citing articles:

Prediction and optimization of energy consumption in an office building using artificial neural network and a genetic algorithm
Marjan Ilbeigi, Mohammad Ghomeishi, Ali Dehghanbanadaki
Sustainable Cities and Society (2020) Vol. 61, pp. 102325-102325
Closed Access | Times Cited: 221
Machine Learning and Deep Learning in Energy Systems: A Review
Mohammad Mahdi Forootan, Iman Larki, Rahim Zahedi, et al.
Sustainability (2022) Vol. 14, Iss. 8, pp. 4832-4832
Open Access | Times Cited: 151
Modelling heating and cooling energy demand for building stock using a hybrid approach
Xinyi Li, Runming Yao
Energy and Buildings (2021) Vol. 235, pp. 110740-110740
Open Access | Times Cited: 107
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
Pattern-driven behaviour for demand-side management: An analysis of appliance use
Carlos Cruz, Marcos Tostado‐Véliz, Esther Palomar, et al.
Energy and Buildings (2024) Vol. 308, pp. 113988-113988
Open Access | Times Cited: 19
Energy Auditing for Efficient Planning and Implementation in Commercial and Residential Buildings
Angalaeswari Sendrayaperumal, Somyak Mahapatra, Sabuja Sanket Parida, et al.
Advances in Civil Engineering (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 92
Applying machine learning approach in recycling
Merve Erkınay Özdemir, Zaara Ali, Balakrishnan Subeshan, et al.
Journal of Material Cycles and Waste Management (2021) Vol. 23, Iss. 3, pp. 855-871
Closed Access | Times Cited: 88
Analysis of feature matrix in machine learning algorithms to predict energy consumption of public buildings
Yong Ding, Lingxiao Fan, Xue Liu
Energy and Buildings (2021) Vol. 249, pp. 111208-111208
Closed Access | Times Cited: 80
Predicting energy cost of public buildings by artificial neural networks, CART, and random forest
Marijana Zekić–Sušac, Adela Has, Marinela Knežević
Neurocomputing (2021) Vol. 439, pp. 223-233
Closed Access | Times Cited: 71
Explainable artificial intelligence for building energy performance certificate labelling classification
Thamsanqa Tsoka, Xianming Ye, YangQuan Chen, et al.
Journal of Cleaner Production (2022) Vol. 355, pp. 131626-131626
Open Access | Times Cited: 49
Principles, research status, and prospects of feature engineering for data-driven building energy prediction: A comprehensive review
Zeyu Wang, Lisha Xia, Hongping Yuan, et al.
Journal of Building Engineering (2022) Vol. 58, pp. 105028-105028
Closed Access | Times Cited: 49
Machine learning based demand response scheme for IoT enabled PV integrated smart building
P. Balakumar, Vinopraba Thirumavalavan, K. Chandrasekaran
Sustainable Cities and Society (2022) Vol. 89, pp. 104260-104260
Closed Access | Times Cited: 48
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
Machine learning for performance prediction in smart buildings: Photovoltaic self-consumption and life cycle cost optimization
Hashem Amini Toosi, Claudio Del Pero, Fabrizio Leonforte, et al.
Applied Energy (2023) Vol. 334, pp. 120648-120648
Open Access | Times Cited: 31
Machine Learning Driven Mental Stress Detection on Reddit Posts Using Natural Language Processing
Shaunak Inamdar, Rishikesh Chapekar, Shilpa Gite, et al.
Human-Centric Intelligent Systems (2023) Vol. 3, Iss. 2, pp. 80-91
Open Access | Times Cited: 29
Deep learning and transfer learning techniques applied to short-term load forecasting of data-poor buildings in local energy communities
Miguel López Santos, Saúl Díaz García, Xela García‐Santiago, et al.
Energy and Buildings (2023) Vol. 292, pp. 113164-113164
Closed Access | Times Cited: 25
Ranking building design and operation parameters for residential heating demand forecasting with machine learning
Milagros Álvarez-Sanz, Felicia Agatha Satriya, Jon Terés-Zubiaga, et al.
Journal of Building Engineering (2024) Vol. 86, pp. 108817-108817
Open Access | Times Cited: 10
Simulating long-term energy consumption prediction in campus buildings through enhanced data augmentation and metaheuristic-optimized artificial intelligence
Jui‐Sheng Chou, Hoang-Minh Nguyen
Energy and Buildings (2024) Vol. 312, pp. 114191-114191
Closed Access | Times Cited: 10
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
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
Investigating the deviation between prediction accuracy metrics and control performance metrics in the context of an ice-based thermal energy storage system
Xiao Wang, Xue Liu, Yanfang Wang, et al.
Journal of Energy Storage (2024) Vol. 91, pp. 112126-112126
Closed Access | Times Cited: 7
Machine Learning-Based Microclimate Model for Indoor Air Temperature and Relative Humidity Prediction in a Swine Building
Elanchezhian Arulmozhi, Jayanta Kumar Basak, Thavisack Sihalath, et al.
Animals (2021) Vol. 11, Iss. 1, pp. 222-222
Open Access | Times Cited: 54
Probabilistic electrical load forecasting for buildings using Bayesian deep neural networks
Lei Xu, Maomao Hu, Cheng Fan
Journal of Building Engineering (2021) Vol. 46, pp. 103853-103853
Closed Access | Times Cited: 50
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: 48
A novel deep generative modeling-based data augmentation strategy for improving short-term building energy predictions
Cheng Fan, Meiling Chen, Rui Tang, et al.
Building Simulation (2021) Vol. 15, Iss. 2, pp. 197-211
Closed Access | Times Cited: 47
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