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:

Bayesian optimisation for efficient material discovery: a mini review
Yimeng Jin, Priyank V. Kumar
Nanoscale (2023) Vol. 15, Iss. 26, pp. 10975-10984
Closed Access | Times Cited: 16

Showing 16 citing articles:

Review of low-cost self-driving laboratories in chemistry and materials science: the “frugal twin” concept
Stanley Lo, Sterling G. Baird, Joshua Schrier, et al.
Digital Discovery (2024) Vol. 3, Iss. 5, pp. 842-868
Open Access | Times Cited: 9

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: 9

NIMS-OS: an automation software to implement a closed loop between artificial intelligence and robotic experiments in materials science
Ryo Tamura, Koji Tsuda, Shôichi Matsuda
Science and Technology of Advanced Materials Methods (2023) Vol. 3, Iss. 1
Open Access | Times Cited: 11

Expanding the Applicability Domain of Machine Learning Model for Advancements in Electrochemical Material Discovery
Kajjana Boonpalit, Jiramet Kinchagawat, Supawadee Namuangruk‬
ChemElectroChem (2024) Vol. 11, Iss. 10
Open Access | Times Cited: 1

Expert‐in‐the‐loop design of integral nuclear data experiments
Isaac Michaud, Michael Grosskopf, Jesson Hutchinson, et al.
Statistical Analysis and Data Mining The ASA Data Science Journal (2024) Vol. 17, Iss. 2
Open Access | Times Cited: 1

Learning Energy-Efficient Trajectory Planning for Robotic Manipulators Using Bayesian Optimization
Philipp Holzmann, Maik Pfefferkorn, Jan Peters, et al.
2022 European Control Conference (ECC) (2024), pp. 1374-1379
Closed Access | Times Cited: 1

Review of Low-cost Self-driving Laboratories: The "Frugal Twin" Concept
Stanley Lo, Sterling G. Baird, Joshua Schrier, et al.
(2023)
Open Access | Times Cited: 3

Bayesian optimization assisted screening conditions for visible light-induced hydroxy-perfluoroalkylation
Koto Tagami, Masaru Kondo, Shinobu Takizawa, et al.
Journal of Fluorine Chemistry (2024) Vol. 276, pp. 110294-110294
Open Access

Bayesian optimization of glycopolymer structures for the interaction with cholera toxin B subunit
Masanori Nagao, Osuke Nakahara, Xincheng Zhou, et al.
Nanoscale (2024) Vol. 16, Iss. 26, pp. 12406-12410
Open Access

Web-BO: Towards increased accessibility of Bayesian optimisation (BO) for chemistry
Austin M. Mroz, Piotr N. Toka, Ehecatl Antonio del Rio‐Chanona, et al.
Faraday Discussions (2024)
Open Access

Performance of uncertainty-based active learning for efficient approximation of black-box functions in materials science
Ai Koizumi, Guillaume Deffrennes, Kei Terayama, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

Automatic Laplacian-based shape optimization for patient-specific vascular grafts
Milad Habibi, Seda Aslan, Xiaolong Liu, et al.
Computers in Biology and Medicine (2024) Vol. 184, pp. 109308-109308
Closed Access

Scalable Bayesian optimization based on exploitation-enhanced sparse Gaussian process
İbrahim Aydoğdu, Yan Wang
Structural and Multidisciplinary Optimization (2024) Vol. 67, Iss. 12
Closed Access

Automated odor-blending with one-pot Bayesian optimization
Yota Fukui, Kosuke Minami, Kota Shiba, et al.
Digital Discovery (2024) Vol. 3, Iss. 5, pp. 969-976
Open Access

Bayesian Optimization in Bioprocess Engineering -Where do we stand today?
Florian Gisperg, Robert Klausser, Mohamed Elshazly, et al.
Authorea (Authorea) (2024)
Open Access

Machine Learning-Aided Inverse Design and Discovery of Novel Polymeric Materials for Membrane Separation
Raghav Dangayach, Nohyeong Jeong, Elif Demirel, et al.
Environmental Science & Technology (2024)
Open Access

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