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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:

Data-driven design of novel halide perovskite alloys
Arun Mannodi‐Kanakkithodi, Maria K. Y. Chan
Energy & Environmental Science (2022) Vol. 15, Iss. 5, pp. 1930-1949
Open Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Real-time personalized health status prediction of lithium-ion batteries using deep transfer learning
Guijun Ma, Songpei Xu, Benben Jiang, et al.
Energy & Environmental Science (2022) Vol. 15, Iss. 10, pp. 4083-4094
Open Access | Times Cited: 109
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: 81
Uranium and lithium extraction from seawater: challenges and opportunities for a sustainable energy future
Yu Jie Lim, Kunli Goh, Atsushi Goto, et al.
Journal of Materials Chemistry A (2023) Vol. 11, Iss. 42, pp. 22551-22589
Closed Access | Times Cited: 52
Halide perovskite quantum dots for photocatalytic CO2reduction
Wentao Song, Guobin Qi, Bin Liu
Journal of Materials Chemistry A (2023) Vol. 11, Iss. 24, pp. 12482-12498
Open Access | Times Cited: 48
Lead-free perovskite-inspired semiconductors for indoor light-harvesting – the present and the future
G. Krishnamurthy Grandhi, Lethy Krishnan Jagadamma, Vipinraj Sugathan, et al.
Chemical Communications (2023) Vol. 59, Iss. 56, pp. 8616-8625
Open Access | Times Cited: 25
Engineering and Design of Halide Perovskite Photoelectrochemical Cells for Solar‐Driven Water Splitting
Saikiran Khamgaonkar, Anny Leudjo Taka, Vivek Maheshwari
Advanced Functional Materials (2024) Vol. 34, Iss. 46
Open Access | Times Cited: 15
Compression Eliminates Charge Traps by Stabilizing Perovskite Grain Boundary Structures: An Ab Initio Analysis with Machine Learning Force Field
Dongyu Liu, Yifan Wu, Mikhail R. Samatov, et al.
Chemistry of Materials (2024) Vol. 36, Iss. 6, pp. 2898-2906
Open Access | Times Cited: 14
Accelerating defect predictions in semiconductors using graph neural networks
Md. Habibur Rahman, Prince Gollapalli, Panayotis Manganaris, et al.
APL Machine Learning (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 12
Discovery of the Zintl-phosphide BaCd2P2 as a long carrier lifetime and stable solar absorber
Zhenkun Yuan, Diana Dahliah, Muhammad Rubaiat Hasan, et al.
Joule (2024) Vol. 8, Iss. 5, pp. 1412-1429
Open Access | Times Cited: 11
Discovering novel halide perovskite alloys using multi-fidelity machine learning and genetic algorithm
Jiaqi Yang, Panayotis Manganaris, Arun Mannodi‐Kanakkithodi
The Journal of Chemical Physics (2024) Vol. 160, Iss. 6
Open Access | Times Cited: 10
Machine learning as a characterization method for analysis and design of perovskite solar cells
Yiming Liu, Xinyu Tan, Peng Xiang, et al.
Materials Today Physics (2024) Vol. 42, pp. 101359-101359
Closed Access | Times Cited: 9
Deep learning for augmented process monitoring of scalable perovskite thin-film fabrication
Felix Laufer, Markus Götz, Ulrich W. Paetzold
Energy & Environmental Science (2025)
Open Access | Times Cited: 1
High-throughput screening of ternary and quaternary chalcogenide semiconductors for photovoltaics
Md. Habibur Rahman, Arun Mannodi‐Kanakkithodi
Computational Materials Science (2025) Vol. 249, pp. 113654-113654
Closed Access | Times Cited: 1
High-Throughput Computational Screening and Machine Learning Modeling of Janus 2D III–VI van der Waals Heterostructures for Solar Energy Applications
Baisheng Sa, Rong Hu, Zhao Zheng, et al.
Chemistry of Materials (2022) Vol. 34, Iss. 15, pp. 6687-6701
Closed Access | Times Cited: 36
The role of machine learning in perovskite solar cell research
Chen Chen, Ayman Maqsood, T. Jesper Jacobsson
Journal of Alloys and Compounds (2023) Vol. 960, pp. 170824-170824
Closed Access | Times Cited: 19
High-throughput identification of spin-photon interfaces in silicon
Yihuang Xiong, Céline Bourgois, Natalya Sheremetyeva, et al.
Science Advances (2023) Vol. 9, Iss. 40
Open Access | Times Cited: 18
Methods and applications of machine learning in computational design of optoelectronic semiconductors
Xiaoyu Yang, Kun Zhou, Xin He, et al.
Science China Materials (2024) Vol. 67, Iss. 4, pp. 1042-1081
Closed Access | Times Cited: 8
Machine learning-enabled chemical space exploration of all-inorganic perovskites for photovoltaics
Jin‐Soo Kim, Juhwan Noh, Jino Im
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 7
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: 7
Materials, Device Structures, and Applications of Flexible Perovskite Light‐Emitting Diodes
Jae Hong Jang, Shi Li, Dae‐Hyeong Kim, et al.
Advanced Electronic Materials (2023) Vol. 9, Iss. 9
Open Access | Times Cited: 15
A high-throughput computational dataset of halide perovskite alloys
Jiaqi Yang, Panayotis Manganaris, Arun Mannodi‐Kanakkithodi
Digital Discovery (2023) Vol. 2, Iss. 3, pp. 856-870
Open Access | Times Cited: 13
High-throughput computations and machine learning for halide perovskite discovery
Jiaqi Yang, Arun Mannodi‐Kanakkithodi
MRS Bulletin (2022) Vol. 47, Iss. 9, pp. 940-948
Open Access | Times Cited: 20
Optoelectronic performance of perovskite Cs2KMI6 (M = Ga, In) based on high-throughput screening and first-principles calculations
Fangfang Qi, Xin Lv, Jinhui Song, et al.
Physical Chemistry Chemical Physics (2023) Vol. 25, Iss. 16, pp. 11484-11492
Closed Access | Times Cited: 11
Synthesis of Machine Learning-Predicted Cs2PbSnI6 Double Perovskite Nanocrystals
Pritish Mishra, Mengyuan Zhang, Manaswita Kar, et al.
ACS Nano (2025)
Closed Access
From Double Perovskites to Multivariate High-Entropy Perovskites: A Method for the Targeted Design of High-Efficiency High-Entropy Perovskite Photovoltaic Materials
Wen‐Jing Hu, Zehui Xiong, Jiajun Jiang, et al.
Renewable Energy (2025), pp. 123246-123246
Closed Access
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