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:
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: 4
Radhouane Laajimi, K. Laajimi, Mehdi Rahmani
Surfaces and Interfaces (2024), pp. 105175-105175
Closed Access | Times Cited: 4
Showing 4 citing articles:
Machine learning algorithms for predicting the photoionization cross section of CdS/ZnSe core/shell spherical quantum dots surrounded by dielectric matrices
A. Cherni, N. Zeiri, N. Yahyaoui, et al.
Results in Physics (2025), pp. 108186-108186
Open Access
A. Cherni, N. Zeiri, N. Yahyaoui, et al.
Results in Physics (2025), pp. 108186-108186
Open Access
Artificial intelligence-driven data generation for temperature-dependent current–voltage characteristics of diodes
Betül Ersöz, Ali Öter, Zeynep Berktaş, et al.
FlatChem (2025), pp. 100847-100847
Closed Access
Betül Ersöz, Ali Öter, Zeynep Berktaş, et al.
FlatChem (2025), pp. 100847-100847
Closed Access
Modeling study of the magnetocaloric behavior of La₀.₆₇Ca₀.₃₃Mn₀.₉₈Ni₀.₀₂O₃ alloys using artificial neural networks
K. Laajimi, Emna Ammar Elhadjamor, Radhouane Laajimi, et al.
Results in Engineering (2025), pp. 105058-105058
Open Access
K. Laajimi, Emna Ammar Elhadjamor, Radhouane Laajimi, et al.
Results in Engineering (2025), pp. 105058-105058
Open Access
An in-depth study by machine learning models of the absorbance properties of stable Ta2O5 nanotubes decorated by PbS nanoparticles for photocatalytic applications
Ines Khemissi, Radhouane Laajimi, K. Ben Mabrouk, et al.
Materials Research Bulletin (2024), pp. 113247-113247
Closed Access | Times Cited: 2
Ines Khemissi, Radhouane Laajimi, K. Ben Mabrouk, et al.
Materials Research Bulletin (2024), pp. 113247-113247
Closed Access | Times Cited: 2
