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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:

Opportunities for machine learning to accelerate halide-perovskite commercialization and scale-up
Rishi E. Kumar, Armi Tiihonen, Shijing Sun, et al.
Matter (2022) Vol. 5, Iss. 5, pp. 1353-1366
Open Access | Times Cited: 17

Showing 17 citing articles:

Organic Hole‐Transport Layers for Efficient, Stable, and Scalable Inverted Perovskite Solar Cells
Yiguo Yao, Caidong Cheng, Chenyang Zhang, et al.
Advanced Materials (2022) Vol. 34, Iss. 44
Open Access | Times Cited: 224
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
Challenges, Opportunities, and Prospects in Metal Halide Perovskites from Theoretical and Machine Learning Perspectives
Chang Woo Myung, Amir Hajibabaei, Ji‐Hyun Cha, et al.
Advanced Energy Materials (2022) Vol. 12, Iss. 45
Closed Access | Times Cited: 33
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
Revolutionizing Low‐Cost Solar Cells with Machine Learning: A Systematic Review of Optimization Techniques
Satyam Bhatti, Habib Ullah Manzoor, Bruno Michel, et al.
Advanced Energy and Sustainability Research (2023) Vol. 4, Iss. 10
Open Access | Times Cited: 15
Harnessing Beneficial Microbes for Drought Tolerance: A Review of Ecological and Agricultural Innovations
Grzegorz Mikiciuk, Tymoteusz Miller, Anna Kisiel, et al.
Agriculture (2024) Vol. 14, Iss. 12, pp. 2228-2228
Open Access | Times Cited: 5
Process Insights into Perovskite Thin‐Film Photovoltaics from Machine Learning with In Situ Luminescence Data
Felix Laufer, Sebastian Ziegler, Fabian Schackmar, et al.
Solar RRL (2023) Vol. 7, Iss. 7
Open Access | Times Cited: 11
Structural divergence of molecular hole selective materials for viable p-i-n perovskite photovoltaics: a comprehensive review
Paramaguru Ganesan, Mohammad Khaja Nazeeruddin, Peng Gao
Journal of Materials Chemistry A (2024) Vol. 12, Iss. 22, pp. 12983-13058
Closed Access | Times Cited: 4
PASCAL: the Perovskite Automated Spin Coat Assembly Line Accelerates Composition Screening in Triple-Halide Perovskite Alloys
Deniz N. Cakan, Rishi E. Kumar, Eric Oberholtz, et al.
Digital Discovery (2024) Vol. 3, Iss. 6, pp. 1236-1246
Open Access | Times Cited: 3
Enhancing Durability of Organic–Inorganic Hybrid Perovskite Solar Cells in High‐Temperature Environments: Exploring Thermal Stability, Molecular Structures, and AI Applications
Shixuan Su, Tae Kyu Ahn, Yun Yang
Advanced Functional Materials (2024)
Closed Access | Times Cited: 3
Advancing high-throughput combinatorial aging studies of hybrid perovskite thin films via precise automated characterization methods and machine learning assisted analysis
Alexander Wieczorek, Austin G. Kuba, Jan Sommerhäuser, et al.
Journal of Materials Chemistry A (2024) Vol. 12, Iss. 12, pp. 7025-7035
Open Access | Times Cited: 2
Integration of Multijunction Absorbers and Catalysts for Efficient Solar‐Driven Artificial Leaf Structures: A Physical and Materials Science Perspective
Thomas Hannappel, Sahar Shekarabi, Wolfram Jaegermann, et al.
Solar RRL (2024) Vol. 8, Iss. 11
Closed Access | Times Cited: 2
A guide to discovering next-generation semiconductor materials using atomistic simulations and machine learning
Arun Mannodi‐Kanakkithodi
Computational Materials Science (2024) Vol. 243, pp. 113108-113108
Closed Access | Times Cited: 2
The Spring of Processing Chemistry in Perovskite Solar Cells–Bayesian Optimization
Qizhen Song, Yang Bai, Qi Chen
The Journal of Physical Chemistry Letters (2022) Vol. 13, Iss. 46, pp. 10741-10750
Closed Access | Times Cited: 10
Experimentally Validated Dynamic Equivalent Circuit Model of Perovskite Solar Cells: Utilizing Machine Learning Algorithms for Parameter Extraction using I-V and C-V Characteristics
Eman F. Sawires, Zahraa Nour Eldine Ismail, Fathy Z. Amer, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 1
Bibliometric analysis of natural language processing using CiteSpace and VOSviewer
Xiuming Chen, Wenjie Tian, Haoyun Fang
Natural Language Processing Journal (2024), pp. 100123-100123
Open Access
Machine Learning‐Accelerated Development of Perovskite Optoelectronics Toward Efficient Energy Harvesting and Conversion
Baian Chen, Rui Chen, Bolong Huang
Advanced Energy and Sustainability Research (2023) Vol. 4, Iss. 10
Open Access
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