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:
Design of experiments with the support of machine learning for process parameter optimization of all‐small‐molecule organic solar cells
Kuo Wang, Jiaojiao Liang, Zhennan Li, et al.
FlexMat. (2024) Vol. 1, Iss. 3, pp. 234-247
Open Access | Times Cited: 7
Kuo Wang, Jiaojiao Liang, Zhennan Li, et al.
FlexMat. (2024) Vol. 1, Iss. 3, pp. 234-247
Open Access | Times Cited: 7
Showing 7 citing articles:
Benzothiophene semiconductor polymer design by machine learning with low exciton binding energy: A vast chemical space generation for new structures
Shaimaa Hassan Mallah, Cihat Güleryüz, Sajjad Hussain Sumrra, et al.
Materials Science in Semiconductor Processing (2025) Vol. 190, pp. 109331-109331
Closed Access | Times Cited: 3
Shaimaa Hassan Mallah, Cihat Güleryüz, Sajjad Hussain Sumrra, et al.
Materials Science in Semiconductor Processing (2025) Vol. 190, pp. 109331-109331
Closed Access | Times Cited: 3
The Pseudo-Bilayer Bulk Heterojunction Active Layer of Polymer Solar Cells in Green Solvent with 18.48% Efficiency
Jingyue Cao, Zheng Xu
Polymers (2025) Vol. 17, Iss. 3, pp. 284-284
Open Access
Jingyue Cao, Zheng Xu
Polymers (2025) Vol. 17, Iss. 3, pp. 284-284
Open Access
Machine Learning-assisted Prediction of Organic Solar Cell Efficiency from TCA triplelayer reflectance Spectra
Fuhao Gao, Jinxin Zhou, Junwei Zhao, et al.
Optics Communications (2025), pp. 131654-131654
Closed Access
Fuhao Gao, Jinxin Zhou, Junwei Zhao, et al.
Optics Communications (2025), pp. 131654-131654
Closed Access
Machine learning-assisted structural parameters screening of Sb@C composites for high cycle capacity in sodium-ion battery
Yufei Wang, Haixin Zhou, Kuo Wang, et al.
Journal of Alloys and Compounds (2025), pp. 179424-179424
Closed Access
Yufei Wang, Haixin Zhou, Kuo Wang, et al.
Journal of Alloys and Compounds (2025), pp. 179424-179424
Closed Access
Quantitative Analysis of Perovskite Morphologies Employing Deep Learning Framework Enables Accurate Solar Cell Performance Prediction
Haixin Zhou, Kuo Wang, Cong Nie, et al.
Small (2025)
Closed Access
Haixin Zhou, Kuo Wang, Cong Nie, et al.
Small (2025)
Closed Access
A machine learning-quantum chemical quest to predict the photovoltaic properties of 2D molybdenum sulfide super structures
Abrar U. Hassan, Mamduh J. Aljaafreh
Optical Materials (2025) Vol. 164, pp. 117056-117056
Closed Access
Abrar U. Hassan, Mamduh J. Aljaafreh
Optical Materials (2025) Vol. 164, pp. 117056-117056
Closed Access
Combination of Transfer Learning and Chemprop Interpreter with Support of Deep Learning for the Energy Levels of Organic Photovoltaic Materials Prediction and Regulation
Cong Nie, Kuo Wang, Haixin Zhou, et al.
ACS Applied Materials & Interfaces (2024)
Closed Access
Cong Nie, Kuo Wang, Haixin Zhou, et al.
ACS Applied Materials & Interfaces (2024)
Closed Access
