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:

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

Showing 1-25 of 506 citing articles:

Renewed Prospects for Organic Photovoltaics
Guichuan Zhang, Francis Lin, Qi Feng, et al.
Chemical Reviews (2022) Vol. 122, Iss. 18, pp. 14180-14274
Closed Access | Times Cited: 647
Recent advances and applications of deep learning methods in materials science
Kamal Choudhary, Brian DeCost, Chi Chen, et al.
npj Computational Materials (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 576
Big-Data Science in Porous Materials: Materials Genomics and Machine Learning
Kevin Maik Jablonka, Daniele Ongari, Seyed Mohamad Moosavi, et al.
Chemical Reviews (2020) Vol. 120, Iss. 16, pp. 8066-8129
Open Access | Times Cited: 457
Opportunities and Challenges for Machine Learning in Materials Science
Dane Morgan, Ryan Jacobs
Annual Review of Materials Research (2020) Vol. 50, Iss. 1, pp. 71-103
Open Access | Times Cited: 345
Data-Driven Strategies for Accelerated Materials Design
Robert Pollice, Gabriel dos Passos Gomes, Matteo Aldeghi, et al.
Accounts of Chemical Research (2021) Vol. 54, Iss. 4, pp. 849-860
Open Access | Times Cited: 317
Nanoparticle synthesis assisted by machine learning
Huachen Tao, Tianyi Wu, Matteo Aldeghi, et al.
Nature Reviews Materials (2021) Vol. 6, Iss. 8, pp. 701-716
Closed Access | Times Cited: 313
An autonomous laboratory for the accelerated synthesis of novel materials
Nathan J. Szymanski, Bernardus Rendy, Yuxing Fei, et al.
Nature (2023) Vol. 624, Iss. 7990, pp. 86-91
Open Access | Times Cited: 278
On-the-fly closed-loop materials discovery via Bayesian active learning
A. Gilad Kusne, Heshan Yu, Changming Wu, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 271
The rise of self-driving labs in chemical and materials sciences
Milad Abolhasani, Eugenia Kumacheva
Nature Synthesis (2023) Vol. 2, Iss. 6, pp. 483-492
Open Access | Times Cited: 257
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
Autonomous Discovery in the Chemical Sciences Part II: Outlook
Connor W. Coley, Natalie S. Eyke, Klavs F. Jensen
Angewandte Chemie International Edition (2019) Vol. 59, Iss. 52, pp. 23414-23436
Open Access | Times Cited: 236
Selective, sensitive, and stable NO2 gas sensor based on porous ZnO nanosheets
Myung Sik Choi, Min Young Kim, Ali Mirzaei, et al.
Applied Surface Science (2021) Vol. 568, pp. 150910-150910
Closed Access | Times Cited: 225
Machine learning for a sustainable energy future
Zhenpeng Yao, Yanwei Lum, Andrew Johnston, et al.
Nature Reviews Materials (2022) Vol. 8, Iss. 3, pp. 202-215
Open Access | Times Cited: 218
Data-driven materials research enabled by natural language processing and information extraction
Elsa Olivetti, Jacqueline M. Cole, Edward Kim, et al.
Applied Physics Reviews (2020) Vol. 7, Iss. 4
Open Access | Times Cited: 214
Machine learning for metabolic engineering: A review
Christopher E. Lawson, Jose Manuel Martí, Tijana Radivojević, et al.
Metabolic Engineering (2020) Vol. 63, pp. 34-60
Open Access | Times Cited: 205
Progress and prospects for accelerating materials science with automated and autonomous workflows
Helge S. Stein, John M. Gregoire
Chemical Science (2019) Vol. 10, Iss. 42, pp. 9640-9649
Open Access | Times Cited: 196
Machine learning directed drug formulation development
Pauric Bannigan, Matteo Aldeghi, Zeqing Bao, et al.
Advanced Drug Delivery Reviews (2021) Vol. 175, pp. 113806-113806
Closed Access | Times Cited: 184
Molecular excited states through a machine learning lens
Pavlo O. Dral, Mario Barbatti
Nature Reviews Chemistry (2021) Vol. 5, Iss. 6, pp. 388-405
Closed Access | Times Cited: 176
Data-science driven autonomous process optimization
Melodie Christensen, Lars P. E. Yunker, Folarin Adedeji, et al.
Communications Chemistry (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 175
Autonomous Discovery in the Chemical Sciences Part I: Progress
Connor W. Coley, Natalie S. Eyke, Klavs F. Jensen
Angewandte Chemie International Edition (2019) Vol. 59, Iss. 51, pp. 22858-22893
Open Access | Times Cited: 175
Machine learning in materials science: From explainable predictions to autonomous design
Ghanshyam Pilania
Computational Materials Science (2021) Vol. 193, pp. 110360-110360
Open Access | Times Cited: 174
MatSciBERT: A materials domain language model for text mining and information extraction
Tanishq Gupta, Mohd Zaki, N. M. Anoop Krishnan, et al.
npj Computational Materials (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 160
Robot-Accelerated Perovskite Investigation and Discovery
Zhi Li, Mansoor Ani Najeeb, Liana Alves, et al.
Chemistry of Materials (2020) Vol. 32, Iss. 13, pp. 5650-5663
Open Access | Times Cited: 155
Autonomous Chemical Experiments: Challenges and Perspectives on Establishing a Self-Driving Lab
Martin Seifrid, Robert Pollice, Andrés Aguilar-Gránda, et al.
Accounts of Chemical Research (2022) Vol. 55, Iss. 17, pp. 2454-2466
Open Access | Times Cited: 147
Advantages, challenges and molecular design of different material types used in organic solar cells
Jicheng Yi, Guangye Zhang, Han Yu, et al.
Nature Reviews Materials (2023) Vol. 9, Iss. 1, pp. 46-62
Closed Access | Times Cited: 145
Page 1 - Next Page

Scroll to top