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:
Application and evaluation of the evolutionary algorithms combined with conventional neural network to determine the building energy consumption of the residential sector
Guimei Wang, Azfarizal Mukhtar, Hossein Moayedi, et al.
Energy (2024) Vol. 298, pp. 131312-131312
Closed Access | Times Cited: 7
Guimei Wang, Azfarizal Mukhtar, Hossein Moayedi, et al.
Energy (2024) Vol. 298, pp. 131312-131312
Closed Access | Times Cited: 7
Showing 7 citing articles:
A normalized deep neural network with self-attention mechanisms based multi-objective multi-verse optimization algorithm for economic dispatch
Linfei Yin, R.-W. Liu
Applied Energy (2025) Vol. 383, pp. 125414-125414
Closed Access | Times Cited: 1
Linfei Yin, R.-W. Liu
Applied Energy (2025) Vol. 383, pp. 125414-125414
Closed Access | Times Cited: 1
BIM-Based Machine Learning Application for Parametric Assessment of Building Energy Performance
Panagiotis Tsikas, A.P. Chassiakos, Vasileios Papadimitropoulos, et al.
Energies (2025) Vol. 18, Iss. 1, pp. 201-201
Open Access
Panagiotis Tsikas, A.P. Chassiakos, Vasileios Papadimitropoulos, et al.
Energies (2025) Vol. 18, Iss. 1, pp. 201-201
Open Access
Deep-learning-driven intelligent component-level energy prediction of ultra-precision machine tools with IoT platform
Zhicheng Xu, Baolong Zhang, Wai Sze Yip, et al.
Energy (2025), pp. 135378-135378
Closed Access
Zhicheng Xu, Baolong Zhang, Wai Sze Yip, et al.
Energy (2025), pp. 135378-135378
Closed Access
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
Marian B. Gorzałczany, Filip Rudziński
Energies (2024) Vol. 17, Iss. 13, pp. 3242-3242
Open Access | Times Cited: 2
Deep-Learning-Driven Intelligent Component-Level Energy Prediction of Ultra-Precision Machine Tools With Iot Platform
Zhicheng Xu, Baolong Zhang, Wai Sze Yip, et al.
(2024)
Closed Access
Zhicheng Xu, Baolong Zhang, Wai Sze Yip, et al.
(2024)
Closed Access
A metaheuristic approach to model the effect of temperature on urban electricity need utilizing XGBoost and modified boxing match algorithm
Nihuan Liao, Zhihong Hu, Davud Magami
AIP Advances (2024) Vol. 14, Iss. 11
Open Access
Nihuan Liao, Zhihong Hu, Davud Magami
AIP Advances (2024) Vol. 14, Iss. 11
Open Access
Research on building energy-saving based on GA-BP coupled improved multi-objective whale optimization algorithm
Zhimin Liu, Huijun Ge, Tao Song, et al.
Energy and Buildings (2024), pp. 115141-115141
Closed Access
Zhimin Liu, Huijun Ge, Tao Song, et al.
Energy and Buildings (2024), pp. 115141-115141
Closed Access
