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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:

Machine-Learning-Accelerated Perovskite Crystallization
Jeffrey Kirman, Andrew Johnston, D.A. Kuntz, et al.
Matter (2020) Vol. 2, Iss. 4, pp. 938-947
Open Access | Times Cited: 121

Showing 26-50 of 121 citing articles:

The Future of Material Scientists in an Age of Artificial Intelligence
Ayman Maqsood, Chen Chen, T. Jesper Jacobsson
Advanced Science (2024) Vol. 11, Iss. 19
Open Access | Times Cited: 12
Structurally Flexible 2D Spacer for Suppressing the Electron–Phonon Coupling Induced Non-Radiative Decay in Perovskite Solar Cells
Ruikun Cao, Kexuan Sun, Chang Liu, et al.
Nano-Micro Letters (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 8
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
Flow Synthesis of Metal Halide Perovskite Quantum Dots: From Rapid Parameter Space Mapping to AI-Guided Modular Manufacturing
Kameel Abdel‐Latif, Fazel Bateni, Steven Crouse, et al.
Matter (2020) Vol. 3, Iss. 4, pp. 1053-1086
Open Access | Times Cited: 61
Pressing challenges of halide perovskite thin film growth
Tatiana Soto‐Montero, Wiria Soltanpoor, Monica Morales‐Masis
APL Materials (2020) Vol. 8, Iss. 11
Open Access | Times Cited: 57
Accelerate Synthesis of Metal–Organic Frameworks by a Robotic Platform and Bayesian Optimization
Yunchao Xie, Chi Zhang, Heng Deng, et al.
ACS Applied Materials & Interfaces (2021) Vol. 13, Iss. 45, pp. 53485-53491
Closed Access | Times Cited: 51
The evolution and future of metal halide perovskite-based optoelectronic devices
Shengfan Wu, Ziming Chen, Hin‐Lap Yip, et al.
Matter (2021) Vol. 4, Iss. 12, pp. 3814-3834
Open Access | Times Cited: 50
Bimetallic-Derived Catalysts and Their Application in Simultaneous Upgrading of CO2 and Ethane
Zhenhua Xie, Lea R. Winter, Jingguang G. Chen
Matter (2021) Vol. 4, Iss. 2, pp. 408-440
Open Access | Times Cited: 44
Towards the digitalisation of porous energy materials: evolution of digital approaches for microstructural design
Zhiqiang Niu, Valerie J. Pinfield, Billy Wu, et al.
Energy & Environmental Science (2021) Vol. 14, Iss. 5, pp. 2549-2576
Open Access | Times Cited: 44
Is machine learning redefining the perovskite solar cells?
Nishi Parikh, Meera Karamta, Neha Yadav, et al.
Journal of Energy Chemistry (2021) Vol. 66, pp. 74-90
Closed Access | Times Cited: 44
Self-Driving Laboratories for Development of New Functional Materials and Optimizing Known Reactions
Mikhail A. Soldatov, Vera V. Butova, D. M. Pashkov, et al.
Nanomaterials (2021) Vol. 11, Iss. 3, pp. 619-619
Open Access | Times Cited: 42
Applied Machine Learning for Developing Next‐Generation Functional Materials
Filip Dinic, Kamalpreet Singh, Tony Dong, et al.
Advanced Functional Materials (2021) Vol. 31, Iss. 51
Closed Access | Times Cited: 41
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: 29
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
Discovering a formula for the high temperature oxidation behavior of FeCrAlCoNi based high entropy alloys by domain knowledge-guided machine learning
Qinghua Wei, Bin Cao, Lucheng Deng, et al.
Journal of Material Science and Technology (2023) Vol. 149, pp. 237-246
Closed Access | Times Cited: 18
High-throughput calculation and machine learning of two-dimensional halide perovskite materials: Formation energy and band gap
Wenguang Hu, Lei Zhang
Materials Today Communications (2023) Vol. 35, pp. 105841-105841
Closed Access | Times Cited: 17
Phase–Property Diagrams for Multicomponent Oxide Systems toward Materials Libraries
Leonardo Velasco, Juan Sebastián Castillo, Mohana V. Kante, et al.
Advanced Materials (2021) Vol. 33, Iss. 43
Open Access | Times Cited: 40
Shedding light on the energy applications of emerging 2D hybrid organic-inorganic halide perovskites
Neng Li, Yufei Yang, Zuhao Shi, et al.
iScience (2022) Vol. 25, Iss. 2, pp. 103753-103753
Open Access | Times Cited: 25
Machine learning in energy chemistry: introduction, challenges and perspectives
Yuzhi Xu, Jiankai Ge, Cheng‐Wei Ju
Energy Advances (2023) Vol. 2, Iss. 7, pp. 896-921
Open Access | Times Cited: 15
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
Perovskite-quantum dot hybrid solar cells: a multi-win strategy for high performance and stability
Ke Huang, Junlong Liu, Jianjuan Yuan, et al.
Journal of Materials Chemistry A (2023) Vol. 11, Iss. 9, pp. 4487-4509
Closed Access | Times Cited: 14
DLSIA: Deep Learning for Scientific Image Analysis
Eric J. Roberts, Tanny Chávez, Alexander Hexemer, et al.
Journal of Applied Crystallography (2024) Vol. 57, Iss. 2, pp. 392-402
Open Access | Times Cited: 5
Self-Driving Laboratories for Chemistry and Materials Science
Gary Tom, Stefan P. Schmid, Sterling G. Baird, et al.
(2024)
Open Access | Times Cited: 5
Automated nanoarchitectonics for networks filling by Prussian blue single crystals through an intermittentto-flow conversion
Zixuan Wan, Wei Zhang, Tianzi Li, et al.
Chemical Engineering Journal (2025) Vol. 505, pp. 159525-159525
Closed Access
Atomistic Origin of Microsecond Carrier Lifetimes at Perovskite Grain Boundaries: Machine Learning-Assisted Nonadiabatic Molecular Dynamics
Yifan Wu, Weibin Chu, Bipeng Wang, et al.
Journal of the American Chemical Society (2025)
Closed Access

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