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:
Machine learning models for capacitance prediction of porous carbon-based supercapacitor electrodes
Wael Z. Tawfik, Samar N. Mohammad, Kamel H. Rahouma, et al.
Physica Scripta (2023) Vol. 99, Iss. 2, pp. 026001-026001
Closed Access | Times Cited: 7
Wael Z. Tawfik, Samar N. Mohammad, Kamel H. Rahouma, et al.
Physica Scripta (2023) Vol. 99, Iss. 2, pp. 026001-026001
Closed Access | Times Cited: 7
Showing 7 citing articles:
Predicting the Remaining Useful Life of Supercapacitors under Different Operating Conditions
Guangheng Qi, Ning Ma, Kai Wang
Energies (2024) Vol. 17, Iss. 11, pp. 2585-2585
Open Access | Times Cited: 38
Guangheng Qi, Ning Ma, Kai Wang
Energies (2024) Vol. 17, Iss. 11, pp. 2585-2585
Open Access | Times Cited: 38
Temperature-dependent performance prediction for cerium oxynitride solid-state symmetric supercapacitor using machine learning
Sourav Ghosh, Ashwath Sibi, G. Sudha Priyanga, et al.
Journal of Energy Storage (2025) Vol. 113, pp. 115562-115562
Closed Access
Sourav Ghosh, Ashwath Sibi, G. Sudha Priyanga, et al.
Journal of Energy Storage (2025) Vol. 113, pp. 115562-115562
Closed Access
Data-based modeling for prediction of supercapacitor capacity: Integrated machine learning and metaheuristic algorithms
Hamed Azimi, Ebrahim GhorbaniâKalhor, Seyed Reza Nabavi, et al.
Journal of the Taiwan Institute of Chemical Engineers (2025) Vol. 170, pp. 105996-105996
Closed Access
Hamed Azimi, Ebrahim GhorbaniâKalhor, Seyed Reza Nabavi, et al.
Journal of the Taiwan Institute of Chemical Engineers (2025) Vol. 170, pp. 105996-105996
Closed Access
Insights into the specific capacitance of CNT-based supercapacitor electrodes using artificial intelligence
Wael Z. Tawfik, Mohamed Shaban, Athira Raveendran, et al.
RSC Advances (2025) Vol. 15, Iss. 5, pp. 3155-3167
Open Access
Wael Z. Tawfik, Mohamed Shaban, Athira Raveendran, et al.
RSC Advances (2025) Vol. 15, Iss. 5, pp. 3155-3167
Open Access
Deep characterization of the electrical features of Ag/P3HT/SiNWs Schottky diodes by machine learning models based on experimental study
Radhouane Laajimi, K. Laajimi, Mehdi Rahmani
Surfaces and Interfaces (2024), pp. 105175-105175
Closed Access | Times Cited: 3
Radhouane Laajimi, K. Laajimi, Mehdi Rahmani
Surfaces and Interfaces (2024), pp. 105175-105175
Closed Access | Times Cited: 3
Machine learning-assisted prediction, screen, and interpretation of porous carbon materials for high-performance supercapacitors
Hongwei Liu, Zhenming Cui, Zhennan Qiao, et al.
Journal of Materials Informatics (2024) Vol. 4, Iss. 4
Open Access | Times Cited: 1
Hongwei Liu, Zhenming Cui, Zhennan Qiao, et al.
Journal of Materials Informatics (2024) Vol. 4, Iss. 4
Open Access | Times Cited: 1
Ab-initio calculation driven machine learning based prediction of quantum capacitance of titanium-doped graphene for efficient supercapacitor electrode design
N.C. Mishra, Naresh Bahadursha, Abbidi Shivani Reddy, et al.
Journal of Energy Storage (2024) Vol. 107, pp. 115038-115038
Closed Access
N.C. Mishra, Naresh Bahadursha, Abbidi Shivani Reddy, et al.
Journal of Energy Storage (2024) Vol. 107, pp. 115038-115038
Closed Access
