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:
Predicting thermophysical properties enhancement of metal-based phase change materials using various machine learning algorithms
Mohsen Bakouri, Hakim S. Sultan Aljibori, Sarminah Samad, et al.
Journal of the Taiwan Institute of Chemical Engineers (2023) Vol. 148, pp. 104934-104934
Closed Access | Times Cited: 14
Mohsen Bakouri, Hakim S. Sultan Aljibori, Sarminah Samad, et al.
Journal of the Taiwan Institute of Chemical Engineers (2023) Vol. 148, pp. 104934-104934
Closed Access | Times Cited: 14
Showing 14 citing articles:
Phase change materials in solar energy storage: Recent progress, environmental impact, challenges, and perspectives
Abdulhammed K. Hamzat, Adewale Hammed Pasanaje, Mayowa I. Omisanya, et al.
Journal of Energy Storage (2025) Vol. 114, pp. 115762-115762
Closed Access | Times Cited: 1
Abdulhammed K. Hamzat, Adewale Hammed Pasanaje, Mayowa I. Omisanya, et al.
Journal of Energy Storage (2025) Vol. 114, pp. 115762-115762
Closed Access | Times Cited: 1
Organic catalysts for hydrogen production from noodle wastewater: Machine learning and deep learning-based analysis
Shadma Tasneem, Abeer Ali Ageeli, Waleed M. Alamier, et al.
International Journal of Hydrogen Energy (2023) Vol. 52, pp. 599-616
Closed Access | Times Cited: 21
Shadma Tasneem, Abeer Ali Ageeli, Waleed M. Alamier, et al.
International Journal of Hydrogen Energy (2023) Vol. 52, pp. 599-616
Closed Access | Times Cited: 21
Experimental Investigation and Artificial Neural Network-Based Prediction of Thermal Conductivity of Metal Oxide-Enhanced Organic Phase-Change Materials
Man Mohan, Sheetal Kumar Dewangan, K. Raja Rao, et al.
International Journal of Energy Research (2024) Vol. 2024, pp. 1-18
Open Access | Times Cited: 7
Man Mohan, Sheetal Kumar Dewangan, K. Raja Rao, et al.
International Journal of Energy Research (2024) Vol. 2024, pp. 1-18
Open Access | Times Cited: 7
The Contribution of Artificial Intelligence to Phase Change Materials in Thermal Energy Storage: From Prediction to Optimization
Shuli Liu, Junrui Han, Yongliang Shen, et al.
Renewable Energy (2024), pp. 121973-121973
Closed Access | Times Cited: 6
Shuli Liu, Junrui Han, Yongliang Shen, et al.
Renewable Energy (2024), pp. 121973-121973
Closed Access | Times Cited: 6
An adaptive mode identification and fault detection scheme for nonlinear multimode process monitoring using improved DPC-KPCA
Dan Ling, Tengfei Jiang, Ying Zheng, et al.
Journal of the Taiwan Institute of Chemical Engineers (2025) Vol. 169, pp. 105915-105915
Closed Access
Dan Ling, Tengfei Jiang, Ying Zheng, et al.
Journal of the Taiwan Institute of Chemical Engineers (2025) Vol. 169, pp. 105915-105915
Closed Access
Advancements in CNT research: Integrating machine learning with microscopic simulations, macroscopic techniques, and application of performance prediction and functional optimization
Dianming Chu, Chenyu Gao, Zongchao Ji, et al.
Materials Today Chemistry (2025) Vol. 45, pp. 102616-102616
Closed Access
Dianming Chu, Chenyu Gao, Zongchao Ji, et al.
Materials Today Chemistry (2025) Vol. 45, pp. 102616-102616
Closed Access
Recent Advances in Organic Phase Change Materials for Thermal Energy Storage: A Review on Sustainable Development Applications
Srikar Rao Chalivendula, Hariprasad Tarigonda
International Journal of Thermophysics (2025) Vol. 46, Iss. 6
Closed Access
Srikar Rao Chalivendula, Hariprasad Tarigonda
International Journal of Thermophysics (2025) Vol. 46, Iss. 6
Closed Access
Recent advances on nano-enhanced phase change materials (NEPCMs) for photovoltaic thermal management and role of machine learning: A review of fundamentals, preparation, characterization, and thermo-physical properties
Ahmad Al Miaari, Hafız Muhammad Ali
Journal of Energy Storage (2025) Vol. 124, pp. 116544-116544
Closed Access
Ahmad Al Miaari, Hafız Muhammad Ali
Journal of Energy Storage (2025) Vol. 124, pp. 116544-116544
Closed Access
Experimental Investigation of Carbon-Based Nano-Enhanced Phase Change Materials Assimilated Photovoltaic Thermal System: Energy, Exergy and Environmental Assessment
Reji Kumar Rajamony, Ashok Kumar Pandey, A.G.N. Sofiah, et al.
Journal of the Taiwan Institute of Chemical Engineers (2024) Vol. 167, pp. 105835-105835
Closed Access | Times Cited: 2
Reji Kumar Rajamony, Ashok Kumar Pandey, A.G.N. Sofiah, et al.
Journal of the Taiwan Institute of Chemical Engineers (2024) Vol. 167, pp. 105835-105835
Closed Access | Times Cited: 2
Integrating artificial Intelligence-Based metaheuristic optimization with Machine learning to enhance Nanomaterial-Containing latent heat thermal energy storage systems
Ali Basem, Hanaa Kadhim Abdulaali, As’ad Alizadeh, et al.
Energy Conversion and Management X (2024), pp. 100835-100835
Open Access | Times Cited: 2
Ali Basem, Hanaa Kadhim Abdulaali, As’ad Alizadeh, et al.
Energy Conversion and Management X (2024), pp. 100835-100835
Open Access | Times Cited: 2
Prediction of Nernst coefficient of S-containing compounds between fuel and ionic liquid phases in the extractive desulfurization using linear and supported vector machine (SVM) methods: QSPR-based machine learning
Fatemeh Faridi, Ali Ebrahimpoor Gorji, Siavash Riahi
Journal of the Taiwan Institute of Chemical Engineers (2024) Vol. 165, pp. 105773-105773
Closed Access | Times Cited: 1
Fatemeh Faridi, Ali Ebrahimpoor Gorji, Siavash Riahi
Journal of the Taiwan Institute of Chemical Engineers (2024) Vol. 165, pp. 105773-105773
Closed Access | Times Cited: 1
Thermodynamic properties of binary, ternary and quaternary mixtures: N‑butyl acetate- n-hexanol - n,n-dimethylacetamide-water. Modeling using regression algorithms and optimization using socially-inspired evolutionary algorithms
Iuliana Bîrgăuanu, Marius Gavrilescu, Florin Leon, et al.
Journal of the Taiwan Institute of Chemical Engineers (2024) Vol. 165, pp. 105796-105796
Closed Access | Times Cited: 1
Iuliana Bîrgăuanu, Marius Gavrilescu, Florin Leon, et al.
Journal of the Taiwan Institute of Chemical Engineers (2024) Vol. 165, pp. 105796-105796
Closed Access | Times Cited: 1
High-precision machine learning for predicting latent heat in diverse multicomponent molten salts
Xuemeng Wang, Yidan Tao, Guan-chen Dong, et al.
Solar Energy Materials and Solar Cells (2024) Vol. 281, pp. 113328-113328
Closed Access | Times Cited: 1
Xuemeng Wang, Yidan Tao, Guan-chen Dong, et al.
Solar Energy Materials and Solar Cells (2024) Vol. 281, pp. 113328-113328
Closed Access | Times Cited: 1
Development of machine learning models for predicting thermophysical properties of VR/VGO nanofluids applicable in enhanced oil recovery
Nazim Hasan, Shadma Tasneem, Othman Hakami, et al.
Journal of Thermal Analysis and Calorimetry (2024)
Closed Access
Nazim Hasan, Shadma Tasneem, Othman Hakami, et al.
Journal of Thermal Analysis and Calorimetry (2024)
Closed Access
