Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Chemical Robotics Enabled Exploration of Stability in Multicomponent Lead Halide Perovskites via Machine Learning
Kate Higgins, Sai Mani Prudhvi Valleti, Maxim Ziatdinov, et al.
ACS Energy Letters (2020) Vol. 5, Iss. 11, pp. 3426-3436
Open Access | Times Cited: 110

Showing 1-25 of 110 citing articles:

Autonomous experimentation systems for materials development: A community perspective
Eric A. Stach, Brian DeCost, A. Gilad Kusne, et al.
Matter (2021) Vol. 4, Iss. 9, pp. 2702-2726
Open Access | Times Cited: 253
Toward autonomous design and synthesis of novel inorganic materials
Nathan J. Szymanski, Yan Zeng, Haoyan Huo, et al.
Materials Horizons (2021) Vol. 8, Iss. 8, pp. 2169-2198
Open Access | Times Cited: 107
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: 79
Self-Driving Laboratories for Chemistry and Materials Science
Gary Tom, Stefan P. Schmid, Sterling G. Baird, et al.
Chemical Reviews (2024) Vol. 124, Iss. 16, pp. 9633-9732
Open Access | Times Cited: 33
Strongly-confined colloidal lead-halide perovskite quantum dots: from synthesis to applications
Junzhi Ye, Deepika Gaur, Chenjia Mi, et al.
Chemical Society Reviews (2024) Vol. 53, Iss. 16, pp. 8095-8122
Open Access | Times Cited: 21
Advancing perovskite solar cell commercialization: Bridging materials, vacuum deposition, and AI-assisted automation
Zhihao Xu, Sang‐Hyun Chin, Bo‐In Park, et al.
Next Materials (2024) Vol. 3, pp. 100103-100103
Open Access | Times Cited: 16
Materials genome engineering accelerates the research and development of organic and perovskite photovoltaics
Ying Shang, Ziyu Xiong, Kang An, et al.
Materials Genome Engineering Advances (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 16
Automated and Autonomous Experiments in Electron and Scanning Probe Microscopy
Sergei V. Kalinin, Maxim Ziatdinov, Jacob Hinkle, et al.
ACS Nano (2021) Vol. 15, Iss. 8, pp. 12604-12627
Closed Access | Times Cited: 86
Machine learning for high-throughput experimental exploration of metal halide perovskites
Mahshid Ahmadi, Maxim Ziatdinov, Yuanyuan Zhou, et al.
Joule (2021) Vol. 5, Iss. 11, pp. 2797-2822
Open Access | Times Cited: 82
High‐Entropy Energy Materials in the Age of Big Data: A Critical Guide to Next‐Generation Synthesis and Applications
Qingsong Wang, Leonardo Velasco, Ben Breitung, et al.
Advanced Energy Materials (2021) Vol. 11, Iss. 47
Open Access | Times Cited: 76
Thermal evaporation and hybrid deposition of perovskite solar cells and mini-modules
Felix Utama Kosasih, Enkhtur Erdenebileg, Nripan Mathews, et al.
Joule (2022) Vol. 6, Iss. 12, pp. 2692-2734
Open Access | Times Cited: 67
Machine Learning Roadmap for Perovskite Photovoltaics
Meghna Srivastava, John M. Howard, Tao Gong, et al.
The Journal of Physical Chemistry Letters (2021) Vol. 12, Iss. 32, pp. 7866-7877
Closed Access | Times Cited: 66
High-Throughput Study of Antisolvents on the Stability of Multicomponent Metal Halide Perovskites through Robotics-Based Synthesis and Machine Learning Approaches
Kate Higgins, Maxim Ziatdinov, Sergei V. Kalinin, et al.
Journal of the American Chemical Society (2021) Vol. 143, Iss. 47, pp. 19945-19955
Open Access | Times Cited: 63
Water-Accelerated Photooxidation of CH3NH3PbI3 Perovskite
Timothy D. Siegler, Wiley A. Dunlap-Shohl, Yuhuan Meng, et al.
Journal of the American Chemical Society (2022) Vol. 144, Iss. 12, pp. 5552-5561
Closed Access | Times Cited: 61
Toward autonomous laboratories: Convergence of artificial intelligence and experimental automation
Yunchao Xie, Kianoosh Sattari, Chi Zhang, et al.
Progress in Materials Science (2022) Vol. 132, pp. 101043-101043
Open Access | Times Cited: 54
Hypothesis Learning in Automated Experiment: Application to Combinatorial Materials Libraries
Maxim Ziatdinov, Yongtao Liu, Anna N. Morozovska, et al.
Advanced Materials (2022) Vol. 34, Iss. 20
Open Access | Times Cited: 52
Intelligent control of nanoparticle synthesis on microfluidic chips with machine learning
Xueye Chen, Honglin Lv
NPG Asia Materials (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 50
Physics makes the difference: Bayesian optimization and active learning via augmented Gaussian process
Maxim Ziatdinov, Ayana Ghosh, Sergei V. Kalinin
Machine Learning Science and Technology (2022) Vol. 3, Iss. 1, pp. 015003-015003
Open Access | Times Cited: 39
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: 39
Intelligent control of nanoparticle synthesis through machine learning
Honglin Lv, Xueye Chen
Nanoscale (2022) Vol. 14, Iss. 18, pp. 6688-6708
Closed 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: 33
Methods, progresses, and opportunities of materials informatics
Chen Li, Kun Zheng
InfoMat (2023) Vol. 5, Iss. 8
Open Access | Times Cited: 28
Machine Learning Enables Prediction of Halide Perovskites’ Optical Behavior with >90% Accuracy
Meghna Srivastava, Abigail R. Hering, Yu An, et al.
ACS Energy Letters (2023) Vol. 8, Iss. 4, pp. 1716-1722
Open Access | Times Cited: 27
The future of self-driving laboratories: from human in the loop interactive AI to gamification
Holland Hysmith, Elham Foadian, Shakti P. Padhy, et al.
Digital Discovery (2024) Vol. 3, Iss. 4, pp. 621-636
Open Access | Times Cited: 13
Designing workflows for materials characterization
Sergei V. Kalinin, Maxim Ziatdinov, Mahshid Ahmadi, et al.
Applied Physics Reviews (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 11
Page 1 - Next Page

Scroll to top