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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:

How To Optimize Materials and Devices via Design of Experiments and Machine Learning: Demonstration Using Organic Photovoltaics
Bing Cao, Lawrence A. Adutwum, Anton O. Oliynyk, et al.
ACS Nano (2018) Vol. 12, Iss. 8, pp. 7434-7444
Open Access | Times Cited: 275

Showing 1-25 of 275 citing articles:

Recent Advances, Design Guidelines, and Prospects of All-Polymer Solar Cells
Changyeon Lee, Seungjin Lee, Geon-U Kim, et al.
Chemical Reviews (2019) Vol. 119, Iss. 13, pp. 8028-8086
Closed Access | Times Cited: 659
Self-driving laboratory for accelerated discovery of thin-film materials
Benjamin P. MacLeod, Fraser G. L. Parlane, Thomas D. Morrissey, et al.
Science Advances (2020) Vol. 6, Iss. 20
Open Access | Times Cited: 506
New frontiers for the materials genome initiative
Juan Pablo, Nicholas E. Jackson, Michael Webb, et al.
npj Computational Materials (2019) Vol. 5, Iss. 1
Open Access | Times Cited: 442
Machine learning–assisted molecular design and efficiency prediction for high-performance organic photovoltaic materials
Wenbo Sun, Yu Zheng, Ke Yang, et al.
Science Advances (2019) Vol. 5, Iss. 11
Open Access | Times Cited: 276
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
Emerging materials intelligence ecosystems propelled by machine learning
Rohit Batra, Le Song, Rampi Ramprasad
Nature Reviews Materials (2020) Vol. 6, Iss. 8, pp. 655-678
Closed Access | Times Cited: 252
Anthropogenic biases in chemical reaction data hinder exploratory inorganic synthesis
Xiwen Jia, Allyson Lynch, Yuheng Huang, et al.
Nature (2019) Vol. 573, Iss. 7773, pp. 251-255
Closed Access | Times Cited: 199
A Brief Introduction to Chemical Reaction Optimization
Connor J. Taylor, Alexander Pomberger, Kobi Felton, et al.
Chemical Reviews (2023) Vol. 123, Iss. 6, pp. 3089-3126
Open Access | Times Cited: 198
Noble-Metal-Free Multicomponent Nanointegration for Sustainable Energy Conversion
Haijiao Lu, Julie Tournet, Kamran Dastafkan, et al.
Chemical Reviews (2021) Vol. 121, Iss. 17, pp. 10271-10366
Closed Access | Times Cited: 193
Machine Learning in Nanoscience: Big Data at Small Scales
Keith A. Brown, Sarah Brittman, Nicolò Maccaferri, et al.
Nano Letters (2019) Vol. 20, Iss. 1, pp. 2-10
Open Access | Times Cited: 191
Machine learning and computation-enabled intelligent sensor design
Zachary S. Ballard, Calvin Brown, Asad M. Madni, et al.
Nature Machine Intelligence (2021) Vol. 3, Iss. 7, pp. 556-565
Open Access | Times Cited: 161
Machine Learning Accelerates Discovery of Optimal Colloidal Quantum Dot Synthesis
Oleksandr Voznyy, Larissa Levina, James Z. Fan, et al.
ACS Nano (2019) Vol. 13, Iss. 10, pp. 11122-11128
Closed Access | Times Cited: 148
A review on machine learning algorithms for the ionic liquid chemical space
Spyridon Koutsoukos, Frederik Philippi, Francisco Malaret, et al.
Chemical Science (2021) Vol. 12, Iss. 20, pp. 6820-6843
Open Access | Times Cited: 129
Harnessing artificial intelligence for the next generation of 3D printed medicines
Moe Elbadawi, Laura E. McCoubrey, Francesca K. H. Gavins, et al.
Advanced Drug Delivery Reviews (2021) Vol. 175, pp. 113805-113805
Open Access | Times Cited: 127
Machine learning with knowledge constraints for process optimization of open-air perovskite solar cell manufacturing
Zhe Liu, Nicholas Rolston, Austin C. Flick, et al.
Joule (2022) Vol. 6, Iss. 4, pp. 834-849
Open Access | Times Cited: 122
Geometrically engineered rigid island array for stretchable electronics capable of withstanding various deformation modes
Jun Chang Yang, Seungkyu Lee, Boo Soo, et al.
Science Advances (2022) Vol. 8, Iss. 22
Open Access | Times Cited: 72
Automatic strain sensor design via active learning and data augmentation for soft machines
Haitao Yang, Jiali Li, Kai Zhuo Lim, et al.
Nature Machine Intelligence (2022) Vol. 4, Iss. 1, pp. 84-94
Closed Access | Times Cited: 70
A materials physics perspective on structure–processing–function relations in blends of organic semiconductors
Zhengxing Peng, Natalie Stingelin, Harald Ade, et al.
Nature Reviews Materials (2023) Vol. 8, Iss. 7, pp. 439-455
Closed Access | Times Cited: 54
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
A bibliometric analysis of machine learning techniques in photovoltaic cells and solar energy (2014–2022)
Abdelhamid Zaïdi
Energy Reports (2024) Vol. 11, pp. 2768-2779
Open Access | Times Cited: 24
Engineered two-dimensional nanomaterials: an emerging paradigm for water purification and monitoring
Minxiang Zeng, Mingfeng Chen, Dali Huang, et al.
Materials Horizons (2020) Vol. 8, Iss. 3, pp. 758-802
Open Access | Times Cited: 127
AI Applications through the Whole Life Cycle of Material Discovery
Jiali Li, Kaizhuo Lim, Haitao Yang, et al.
Matter (2020) Vol. 3, Iss. 2, pp. 393-432
Open Access | Times Cited: 123
A Kriging-Based Approach to Autonomous Experimentation with Applications to X-Ray Scattering
Marcus M. Noack, Kevin G. Yager, Masafumi Fukuto, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 96
Insights from Machine Learning Techniques for Predicting the Efficiency of Fullerene Derivatives‐Based Ternary Organic Solar Cells at Ternary Blend Design
Min‐Hsuan Lee
Advanced Energy Materials (2019) Vol. 9, Iss. 26
Closed Access | Times Cited: 92
Effect of Increasing the Descriptor Set on Machine Learning Prediction of Small Molecule-Based Organic Solar Cells
Zhi‐Wen Zhao, Marcos del Cueto, Yun Geng, et al.
Chemistry of Materials (2020) Vol. 32, Iss. 18, pp. 7777-7787
Closed Access | Times Cited: 86
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