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:

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

Showing 26-50 of 40 citing articles:

Acceleration of optimizing the dielectric properties of (Ca0.7Nd0.2)1−x(Li0.5Nd0.5)xTi1−y(Mg1/3Nb2/3)yO3 with the aid of machine learning
Ziqi Ni, Fenglin Wang, Yeqing Guan, et al.
Journal of the American Ceramic Society (2024) Vol. 107, Iss. 5, pp. 3380-3389
Closed Access | Times Cited: 2

Novelty detection in the design of synthesis of garnet-structured solid electrolytes
Natalia Kireeva, А. Yu. Tsivadze
Journal of Solid State Chemistry (2024) Vol. 334, pp. 124669-124669
Closed Access | Times Cited: 2

Toward predictable phase structures in high-entropy oxides: A strategy for screening multicomponent compositions
Yulin Li, Haixian Yan, Shiqi Wang, et al.
Materials & Design (2024), pp. 113497-113497
Open Access | Times Cited: 2

Predicting the particle-agglomeration effect on the equivalent mechanical properties of dispersion nuclear fuel by machine learning
Yingxuan Dong, Junnan Lv, Tao Peng, et al.
Journal of Nuclear Materials (2023) Vol. 586, pp. 154697-154697
Closed Access | Times Cited: 5

Prediction of Phase Diagrams and Associated Phase Structural Properties
Federico Zipoli, Victor Viterbo, Oliver Schilter, et al.
Industrial & Engineering Chemistry Research (2022) Vol. 61, Iss. 24, pp. 8378-8389
Open Access | Times Cited: 8

Accelerating Materials Discovery: Automated Identification of Prospects from X‐Ray Diffraction Data in Fast Screening Experiments
Jan Schuetzke, Simon Schweidler, Friedrich R. Muenke, et al.
Advanced Intelligent Systems (2023) Vol. 6, Iss. 3
Open Access | Times Cited: 4

Bayesian optimization in continuous spaces via virtual process embeddings
Mani Valleti, Rama K. Vasudevan, Maxim Ziatdinov, et al.
Digital Discovery (2022) Vol. 1, Iss. 6, pp. 910-925
Open Access | Times Cited: 7

Multi-scale optimization of selectively magnetized isotropic carbon fiber fabrics for microwave absorption using machine learning
Yuhao Liu, Xiaoxiao Huang, Jiahao Sun, et al.
Composites Science and Technology (2023) Vol. 243, pp. 110257-110257
Closed Access | Times Cited: 3

Phase stability studies on transition metal phosphates aided by an automated synthesis
Stephanos Karafiludis, Tom William Ryll, Ana Guilherme Buzanich, et al.
CrystEngComm (2023) Vol. 25, Iss. 30, pp. 4333-4344
Open Access | Times Cited: 3

Room‐Temperature Synthesis of a Compositionally Complex Rare‐Earth Carbonate Hydroxide and its Conversion into a Bixbyite‐Type High‐Entropy Sesquioxide
Jan Bernauer, Maximillian Trapp, L. Wiehl, et al.
European Journal of Inorganic Chemistry (2023) Vol. 27, Iss. 3
Open Access | Times Cited: 3

Deep learning for symmetry classification using sparse 3D electron density data for inorganic compounds
Seonghwan Kim, Byung Do Lee, Min Young Cho, et al.
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access

High Entropy Oxides
Abhishek Sarkar, Horst Hahn, Robert Kruk
Elsevier eBooks (2023), pp. 536-545
Closed Access

A high entropy oxide as high-activity electrocatalyst for water oxidation
Mohana V. Kante, Daniel M. Cunha, Moritz L. Weber, et al.
(2022)
Open Access

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