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-based evaluation of functional characteristics of Li-rich layered oxide cathode materials using the data of XPS and XRD spectra
Natalia Kireeva, В. С. Первов, А. Yu. Tsivadze
Computational Materials Science (2023) Vol. 231, pp. 112591-112591
Closed Access | Times Cited: 8
Natalia Kireeva, В. С. Первов, А. Yu. Tsivadze
Computational Materials Science (2023) Vol. 231, pp. 112591-112591
Closed Access | Times Cited: 8
Showing 8 citing articles:
Machine learning in energy storage material discovery and performance prediction
Guo-Chang Huang, Fuqiang Huang, Wujie Dong
Chemical Engineering Journal (2024) Vol. 492, pp. 152294-152294
Closed Access | Times Cited: 14
Guo-Chang Huang, Fuqiang Huang, Wujie Dong
Chemical Engineering Journal (2024) Vol. 492, pp. 152294-152294
Closed Access | Times Cited: 14
Progress of machine learning in materials design for Li-Ion battery
Prasshanth C.V., Arun Kumar Lakshminarayanan, R. Brindha, et al.
Next Materials (2024) Vol. 2, pp. 100145-100145
Open Access | Times Cited: 10
Prasshanth C.V., Arun Kumar Lakshminarayanan, R. Brindha, et al.
Next Materials (2024) Vol. 2, pp. 100145-100145
Open Access | Times Cited: 10
Oxide ceramics of A2M3O12 family with negative and close-to-zero thermal expansion coefficients: Machine learning-based modeling of functional characteristics
Natalia Kireeva, А. Yu. Tsivadze
Journal of Alloys and Compounds (2024) Vol. 990, pp. 174356-174356
Closed Access | Times Cited: 7
Natalia Kireeva, А. Yu. Tsivadze
Journal of Alloys and Compounds (2024) Vol. 990, pp. 174356-174356
Closed Access | Times Cited: 7
Unlocking new horizons, challenges of integrating machine learning to energy conversion and storage research
Muthuraja Velpandian, Suddhasatwa Basu
Indian Chemical Engineer (2025), pp. 1-18
Closed Access
Muthuraja Velpandian, Suddhasatwa Basu
Indian Chemical Engineer (2025), pp. 1-18
Closed Access
Input Consistency Regularization of Experimental Data for Modeling Functional Characteristics of A2M3O12${\rm A}_{2} {\rm M}_{3} {\rm O}_{12}$ Family of Compounds
Natalia Kireeva, А. Yu. Tsivadze
Advanced Theory and Simulations (2025)
Closed Access
Natalia Kireeva, А. Yu. Tsivadze
Advanced Theory and Simulations (2025)
Closed Access
Low-Carbon Foamed Concrete Based on Alkali Residue and GGBS versus Conventional Foamed Concrete: Comparative Experimental Research
Zhengcheng Wang, Kai Wu, Songyu Liu, et al.
Journal of Materials in Civil Engineering (2024) Vol. 37, Iss. 1
Closed Access | Times Cited: 1
Zhengcheng Wang, Kai Wu, Songyu Liu, et al.
Journal of Materials in Civil Engineering (2024) Vol. 37, Iss. 1
Closed Access | Times Cited: 1
Input Consistency Regularization for Modeling Negative Thermal Expansion Characteristics of A2M3O12 Family of Compounds
Natalia Kireeva, А. Yu. Tsivadze
(2024)
Open Access
Natalia Kireeva, А. Yu. Tsivadze
(2024)
Open Access
Photoemission spectroscopy of battery materials
Chenfeng Ding, Penghui Ji, Tongtong Li, et al.
Applied Physics Reviews (2024) Vol. 11, Iss. 4
Closed Access
Chenfeng Ding, Penghui Ji, Tongtong Li, et al.
Applied Physics Reviews (2024) Vol. 11, Iss. 4
Closed Access
