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OpenAlex Citation Counts

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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:

Application of machine learning in perovskite materials and devices: A review
Ming Chen, Zhenhua Yin, Zhicheng Shan, et al.
Journal of Energy Chemistry (2024) Vol. 94, pp. 254-272
Closed Access | Times Cited: 13

Showing 13 citing articles:

Stability forecasting of perovskite solar cells utilizing various machine learning and deep learning techniques
M. Mammeri, H. Bencherif, L. Dehimi, et al.
Journal of Optics (2024)
Closed Access | Times Cited: 6
Breaking barriers: Novel approaches to proton-conducting oxide materials
Muhammad Tayyab, Sajid Rauf, Abdul Zeeshan Khan, et al.
Ceramics International (2024) Vol. 50, Iss. 20, pp. 40526-40552
Closed Access | Times Cited: 5
DFT + U based characterization of structural, magnetic, dynamic, elastic and thermodynamic properties of KXF3 (X = Fe or Co) halide perovskites compounds
Saber Sâad Essaoud, A. Bouhemadou, Mohammed Elamin Ketfi, et al.
Chemical Physics Letters (2024) Vol. 850, pp. 141455-141455
Closed Access | Times Cited: 5
Quantum Circuit Learning for Predicting Nature of Band Gap of Perovskite Oxides
Muhamad Akrom, Supriadi Rustad, Hermawan Kresno Dipojono, et al.
(2025)
Closed Access
Progress in prediction of photocatalytic CO2 reduction using machine learning approach: A mini review
Mir Mohammad Ali, Md. Arif Hossen, Azrina Abd Aziz
Next Materials (2025) Vol. 8, pp. 100522-100522
Closed Access
Triggering nanoconfinement effect in advanced oxidation processes (AOPs) for boosted degradation of organic contaminants: A review
Junsuo Li, Yongshuo Wang, Ziqian Wang, et al.
Chemical Engineering Journal (2024) Vol. 503, pp. 158428-158428
Closed Access | Times Cited: 4
Studying the Thermodynamic Phase Stability of Organic–Inorganic Hybrid Perovskites Using Machine Learning
Juan Wang, Xinzhong Wang, Shun Feng, et al.
Molecules (2024) Vol. 29, Iss. 13, pp. 2974-2974
Open Access | Times Cited: 1
Machine Learning Approaches for Predicting Power Conversion Efficiency in Organic Solar Cells: A Comprehensive Review
Yang Jiang, Chuang Yao, Yezi Yang, et al.
Solar RRL (2024)
Closed Access | Times Cited: 1
Developing a predictive model for the maximum power conversion efficiency of inorganic perovskites: A combined approach using density functional theory and machine learning
Yuling Han, Ziyue Zhao, Yijun Zhang, et al.
Computational Materials Science (2024) Vol. 245, pp. 113325-113325
Closed Access
Luminescent Perovskite Quantum Dots: Progress in Fabrication, Modelling and Machine Learning Approaches for Advanced Photonic and Quantum Computing Applications
K. Deepthi Jayan, K. Jayanth Babu
Journal of Luminescence (2024), pp. 120906-120906
Closed Access
Machine learning approaches for predicting impact sensitivity and detonation performances of energetic materials
Weihong Liu, Qi‐Jun Liu, Fusheng Liu, et al.
Journal of Energy Chemistry (2024) Vol. 102, pp. 161-171
Closed Access
Matini-Net: Versatile Material Informatics Research Framework for Feature Engineering and Deep Neural Network Design
Myeonghun Lee, Taehyun Park, Kyoungmin Min
Journal of Chemical Information and Modeling (2024)
Closed Access
Exploration of highly stable and highly efficient new lead-free halide perovskite solar cells by machine learning
Chenyang Zhu, Yiming Liu, Donghua Wang, et al.
Cell Reports Physical Science (2024) Vol. 5, Iss. 12, pp. 102321-102321
Open Access
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