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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:

Accelerated design and discovery of perovskites with high conductivity for energy applications through machine learning
Pikee Priya, N. R. Aluru
npj Computational Materials (2021) Vol. 7, Iss. 1
Open Access | Times Cited: 62

Showing 1-25 of 62 citing articles:

Machine Learning for Perovskite Solar Cells and Component Materials: Key Technologies and Prospects
Yiming Liu, Xinyu Tan, Jie Liang, et al.
Advanced Functional Materials (2023) Vol. 33, Iss. 17
Closed Access | Times Cited: 78
Machine learning in energy storage materials
Zhonghui Shen, Hanxing Liu, Yang Shen, et al.
Interdisciplinary materials (2022) Vol. 1, Iss. 2, pp. 175-195
Open Access | Times Cited: 68
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: 15
Advances and challenges in high-performance cathodes for protonic solid oxide fuel cells and machine learning-guided perspectives
Baoyin Yuan, Ning Wang, Chunmei Tang, et al.
Nano Energy (2024) Vol. 122, pp. 109306-109306
Closed Access | Times Cited: 14
Rationally Designed Air Electrode Boosting Electrochemical Performance of Protonic Ceramic Cells
Chunmei Tang, Baoyin Yuan, Xiaohan Zhang, et al.
Advanced Energy Materials (2025)
Closed Access | Times Cited: 2
Applications of machine learning in perovskite materials
Ziman Wang, Ming Yang, Xixi Xie, et al.
Advanced Composites and Hybrid Materials (2022) Vol. 5, Iss. 4, pp. 2700-2720
Closed Access | Times Cited: 65
Effect of pressure on structural, elastic and mechanical properties of cubic perovskites XCoO3 (X = Nd, Pr) from first-principles investigations
Abu Bakar, Ayash Alrashdi, Mohammed M. Fadhali, et al.
Journal of Materials Research and Technology (2022) Vol. 19, pp. 4233-4241
Open Access | Times Cited: 49
Structure–property correlation in oxide-ion and proton conductors for clean energy applications: recent experimental and computational advancements
Mauro Coduri, Maths Karlsson, Lorenzo Malavasi
Journal of Materials Chemistry A (2022) Vol. 10, Iss. 10, pp. 5082-5110
Open Access | Times Cited: 45
In situ/operando regulation of the reaction activities on hetero-structured electrodes for solid oxide cells
Tong Hu, Fan He, Meilin Liu, et al.
Progress in Materials Science (2022) Vol. 133, pp. 101050-101050
Closed Access | Times Cited: 43
Accelerating perovskite materials discovery and correlated energy applications through artificial intelligence
Jiechun Liang, Tingting Wu, Ziwei Wang, et al.
Energy Materials (2022) Vol. 2, Iss. 3, pp. 200016-200016
Open Access | Times Cited: 38
Machine Learning in Perovskite Solar Cells: Recent Developments and Future Perspectives
Nitin Bansal, Snehangshu Mishra, Himanshu Dixit, et al.
Energy Technology (2023) Vol. 11, Iss. 12
Open Access | Times Cited: 32
Machine learning for perovskite solar cell design
Hui Zhan, Min Wang, Xiang Yin, et al.
Computational Materials Science (2023) Vol. 226, pp. 112215-112215
Closed Access | Times Cited: 27
Auto-MatRegressor: liberating machine learning alchemists
Yue Liu, Shuangyan Wang, Zhengwei Yang, et al.
Science Bulletin (2023) Vol. 68, Iss. 12, pp. 1259-1270
Closed Access | Times Cited: 26
Green hydrogen production by intermediate‐temperature protonic solid oxide electrolysis cells: Advances, challenges, and perspectives
Chunmei Tang, Yao Yao, Ning Wang, et al.
InfoMat (2023)
Open Access | Times Cited: 23
Accelerated Data-Driven Discovery and Screening of Two-Dimensional Magnets Using Graph Neural Networks
Ahmed Elrashidy, James Della-Giustina, Jia-An Yan
The Journal of Physical Chemistry C (2024) Vol. 128, Iss. 14, pp. 6007-6018
Open Access | Times Cited: 9
Machine‐Learning‐Accelerated Development of Efficient Mixed Protonic–Electronic Conducting Oxides as the Air Electrodes for Protonic Ceramic Cells
Ning Wang, Baoyin Yuan, Chunmei Tang, et al.
Advanced Materials (2022) Vol. 34, Iss. 51
Closed Access | Times Cited: 30
The effects of organic cation rotation in hybrid Organic-Inorganic Perovskites: A critical review
Siyu Liu, Ruiqian Guo, Fengxian Xie
Materials & Design (2022) Vol. 221, pp. 110951-110951
Open Access | Times Cited: 28
Center-environment deep transfer machine learning across crystal structures: from spinel oxides to perovskite oxides
Yihang Li, Ruijie Zhu, Yuanqing Wang, et al.
npj Computational Materials (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 21
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
Machine-learning for discovery of descriptors for gas-sensing: A case study of doped metal oxides
Meng Su, Yong-Chang Guo, Xiaobo Hong, et al.
Talanta (2025) Vol. 287, pp. 127594-127594
Closed Access
Automated machine learning guides discovery of ABO3-type oxides for effective water splitting photocatalysis
Ling Zhang, Guoxiang Chen, Zekun Wang, et al.
Chemical Physics Letters (2025), pp. 142034-142034
Closed Access
Perovskite Type ABO3 Oxides in Photocatalysis, Electrocatalysis, and Solid Oxide Fuel Cells: State of the Art and Future Prospects
Muhammad Humayun, Zhishan Li, Muhammad Israr, et al.
Chemical Reviews (2025)
Closed Access
Screening interface passivation materials intelligently through machine learning for highly efficient perovskite solar cells
Wu Liu, Yao Lu, Dong Wei, et al.
Journal of Materials Chemistry A (2022) Vol. 10, Iss. 34, pp. 17782-17789
Closed Access | Times Cited: 26
Design of Organic–Inorganic Hybrid Heterostructured Semiconductors via High-Throughput Materials Screening for Optoelectronic Applications
Yawen Li, Jingxiu Yang, Ruoting Zhao, et al.
Journal of the American Chemical Society (2022) Vol. 144, Iss. 36, pp. 16656-16666
Closed Access | Times Cited: 25
Machine-learning-assisted discovery of boron-doped graphene with high work function as an anode material for Li/Na/K-ion batteries
Yi Luo, Haiyuan Chen, Jianwei Wang, et al.
Physical Chemistry Chemical Physics (2023) Vol. 25, Iss. 17, pp. 12200-12206
Closed Access | Times Cited: 13
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