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:
Data-driven strategy for bandgap database construction of perovskites and the potential segregation study
Bobin Wu, Xinyu Zhang, Zixuan Wang, et al.
Journal of Materials Informatics (2024) Vol. 4, Iss. 2
Open Access | Times Cited: 5
Bobin Wu, Xinyu Zhang, Zixuan Wang, et al.
Journal of Materials Informatics (2024) Vol. 4, Iss. 2
Open Access | Times Cited: 5
Showing 5 citing articles:
Synergistic dual-defect band engineering for highly-efficient photocatalytic degradation of microplastics via Nb-induced oxygen vacancies in SnO2 quantum dots
Jianqiao Liu, Dan Zhao, Xian Wu, et al.
Journal of Materials Chemistry A (2025)
Open Access | Times Cited: 1
Jianqiao Liu, Dan Zhao, Xian Wu, et al.
Journal of Materials Chemistry A (2025)
Open Access | Times Cited: 1
Interpretable machine learning insights of power conversion efficiency for hybrid perovskites solar cells
Yudong Shi, Jiansen Wen, Cuilian Wen, et al.
Solar Energy (2025) Vol. 290, pp. 113373-113373
Closed Access
Yudong Shi, Jiansen Wen, Cuilian Wen, et al.
Solar Energy (2025) Vol. 290, pp. 113373-113373
Closed Access
Machine learning strategies for small sample size in materials science
Qiuling Tao, Jinxin Yu, Xiangyu Mu, et al.
Science China Materials (2025)
Closed Access
Qiuling Tao, Jinxin Yu, Xiangyu Mu, et al.
Science China Materials (2025)
Closed Access
Transforming machine learning model knowledge into material insights for multi-principal-element superalloy phase design
Qiuling Tao, Xintong Yang, Longke Bao, et al.
npj Computational Materials (2025) Vol. 11, Iss. 1
Open Access
Qiuling Tao, Xintong Yang, Longke Bao, et al.
npj Computational Materials (2025) Vol. 11, Iss. 1
Open Access
Efficient and Accurate Prediction of Double Perovskite Quasiparticle Band Gaps via Machine Learning and a Descriptor
Gang Niu, Yilei Wu, Xinyu Chen, et al.
The Journal of Physical Chemistry Letters (2025), pp. 4006-4013
Closed Access
Gang Niu, Yilei Wu, Xinyu Chen, et al.
The Journal of Physical Chemistry Letters (2025), pp. 4006-4013
Closed Access
A Critical Review of the Synthesis and Applications of Spinel‐Derived Catalysts to Bio‐Oil Upgrading
Sasha Yang, Jinxing Gu, Baiqian Dai, et al.
ChemSusChem (2024)
Open Access | Times Cited: 1
Sasha Yang, Jinxing Gu, Baiqian Dai, et al.
ChemSusChem (2024)
Open Access | Times Cited: 1
Prediction of Bandgap in Lithium-Ion Battery Materials Based on Explainable Boosting Machine Learning Techniques
Hui‐Min Qin, Yanchao Zhang, Zhaofeng Guo, et al.
Materials (2024) Vol. 17, Iss. 24, pp. 6217-6217
Open Access
Hui‐Min Qin, Yanchao Zhang, Zhaofeng Guo, et al.
Materials (2024) Vol. 17, Iss. 24, pp. 6217-6217
Open Access
