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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 machine-learning ensemble model for predicting energy consumption in smart homes
Ishaani Priyadarshini, Sandipan Sahu, Raghvendra Kumar, et al.
Internet of Things (2022) Vol. 20, pp. 100636-100636
Closed Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Intelligent Decision Making for Commodities Price Prediction: Opportunities, Challenges and Future Avenues
Nermin Kamal Saeed, Imran Shafi, Sidra Pervez, et al.
Computational Economics (2025)
Closed Access | Times Cited: 1
Survivability of industrial internet of things using machine learning and smart contracts
Ishaani Priyadarshini, Raghvendra Kumar, Ahmed Alkhayyat, et al.
Computers & Electrical Engineering (2023) Vol. 107, pp. 108617-108617
Closed Access | Times Cited: 16
A new HCM heart sound classification method based on weighted bispectrum features
Yu Fang, Zhiyuan Huang, Leng Hongxia, et al.
Physical and Engineering Sciences in Medicine (2025)
Closed Access
Energy Consumption Prediction for Office Buildings: Performance Evaluation and Application of Ensemble Machine Learning Techniques
Chao Ma, Song Pan, Tong Cui, et al.
Journal of Building Engineering (2025) Vol. 102, pp. 112021-112021
Closed Access
Proximal Policy Optimization–Driven Real-Time Home Energy Management System with Storage and Renewables
Ubaid ur Rehman
Process Integration and Optimization for Sustainability (2025)
Closed Access
Deep learning-based novel ensemble method with best score transferred-adaptive neuro fuzzy inference system for energy consumption prediction
Birce Dağkurs, İsmail Atacak
PeerJ Computer Science (2025) Vol. 11, pp. e2680-e2680
Open Access
Comprehensive Analysis of Energy Demand Prediction Using Advanced Machine Learning Techniques
Vignesh Manohar, G. S. N. Murthy, Nayani Poornachandan Royal, et al.
E3S Web of Conferences (2025) Vol. 616, pp. 02027-02027
Open Access
Using the evolutionary mating algorithm for optimizing the user comfort and energy consumption in smart building
Mohd Herwan Sulaiman, Zuriani Mustaffa
Journal of Building Engineering (2023) Vol. 76, pp. 107139-107139
Closed Access | Times Cited: 13
Data Aging Matters: Federated Learning-Based Consumption Prediction in Smart Homes via Age-Based Model Weighting
Konstantinos Skianis, Anastasios Giannopoulos, Panagiotis K. Gkonis, et al.
Electronics (2023) Vol. 12, Iss. 14, pp. 3054-3054
Open Access | Times Cited: 13
A privacy-preserving distributed energy management framework based on vertical federated learning-based smart data cleaning for smart home electricity data
Yu‐Hsiu Lin, Jian-Cheng Ciou
Internet of Things (2024) Vol. 26, pp. 101222-101222
Closed Access | Times Cited: 4
Optimizing energy efficiency and comfort in smart homes through predictive optimization: A case study with indoor environmental parameter consideration
Qazi Waqas Khan, Rashid Ahmad, Atif Rizwan, et al.
Energy Reports (2024) Vol. 11, pp. 5619-5637
Open Access | Times Cited: 4
Predictive Model of Energy Consumption Using Machine Learning: A Case Study of Residential Buildings in South Africa
Donatien Koulla Moulla, David Attipoe, Ernest Mnkandla, et al.
Sustainability (2024) Vol. 16, Iss. 11, pp. 4365-4365
Open Access | Times Cited: 3
Identifying the optimal heterogeneous ensemble learning model for building energy prediction using the exhaustive search method
Zeyu Wang, Zhixi Liang, Ruochen Zeng, et al.
Energy and Buildings (2022) Vol. 281, pp. 112763-112763
Closed Access | Times Cited: 15
Energy Consumption Prediction in Residential Buildings—An Accurate and Interpretable Machine Learning Approach Combining Fuzzy Systems with Evolutionary Optimization
Marian B. Gorzałczany, Filip Rudziński
Energies (2024) Vol. 17, Iss. 13, pp. 3242-3242
Open Access | Times Cited: 2
Grey Wolf Optimization-Based CNN-LSTM Network for the Prediction of Energy Consumption in Smart Home Environment
Tarana Singh, Arun Solanki, Sanjay Kumar Sharma, et al.
IEEE Access (2023) Vol. 11, pp. 114917-114935
Open Access | Times Cited: 7
A bandwidth control scheme for reducing the negative impact of bottlenecks in IoT environments: Simulation and performance evaluation
Omar Said
Internet of Things (2023) Vol. 21, pp. 100682-100682
Open Access | Times Cited: 6
Machine learning for sustainable development: leveraging technology for a greener future
Muneza Kagzi, Sayantan Khanra, Sanjoy Kumar Paul
Journal of Systems and Information Technology (2023) Vol. 25, Iss. 4, pp. 440-479
Closed Access | Times Cited: 6
Prediction of Temperature and Humidity at Telkom University Landmark Tower (TULT) using Regression Tree Ensembles and Internet of Things (IoT)
Adhitia Virliansyah, Hilal H. Nuha
(2023), pp. 77-82
Closed Access | Times Cited: 5
CVT on-line error measurement hybrid-driven by domain knowledge and Stacking Model
Wang Jing-ping, Ying Shi, Rui Zhang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106710-106710
Closed Access | Times Cited: 4
Smart Multi-Building Energy Monitoring System
S.N. Saluja, Colin Prochnow, Grant Couper, et al.
(2024), pp. 342-347
Closed Access | Times Cited: 1
Smart energy management: real-time prediction and optimization for IoT-enabled smart homes
G. Karuna, Poornima Ediga, S. Akshatha, et al.
Cogent Engineering (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
Construction of Ensemble Learning Model for Home Appliance Demand Forecasting
Ganglong Duan, Jiayi Dong
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7658-7658
Open Access | Times Cited: 1
Research on Building Energy Consumption Prediction Based on Improved PSO Fusion LSSVM Model
Suli Zhang, Yiting Chang, Hui Li, et al.
Energies (2024) Vol. 17, Iss. 17, pp. 4329-4329
Open Access | Times Cited: 1
Recent Trends of Machine Learning on Energy Storage Devices
Arpit B. Mendhe, Himanshu Sekhar Panda
Next research. (2024), pp. 100119-100119
Closed Access | Times Cited: 1
Enhancing Identification of IoT Anomalies in Smart Homes Using Secure Blockchain Technology
Sidra Tahir
Advances in logistics, operations, and management science book series (2023), pp. 141-155
Closed Access | Times Cited: 3
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