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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:

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 1-25 of 40 citing articles:

Graph neural networks for materials science and chemistry
Patrick Reiser, Marlen Neubert, André Eberhard, et al.
Communications Materials (2022) Vol. 3, Iss. 1
Open Access | Times Cited: 326
High-entropy materials for energy and electronic applications
Simon Schweidler, Miriam Botros, Florian Strauss, et al.
Nature Reviews Materials (2024) Vol. 9, Iss. 4, pp. 266-281
Closed Access | Times Cited: 144
A High-Entropy Oxide as High-Activity Electrocatalyst for Water Oxidation
Mohana V. Kante, Moritz L. Weber, Shu Ni, et al.
ACS Nano (2023) Vol. 17, Iss. 6, pp. 5329-5339
Open Access | Times Cited: 78
High‐entropy oxide: A future anode contender for lithium‐ion battery
Xuefeng Liu, Xuke Li, Yage Li, et al.
EcoMat (2022) Vol. 4, Iss. 6
Open Access | Times Cited: 77
High-entropy oxides for energy-related electrocatalysis
Han Cai, Peikun Zhang, Bowen Li, et al.
Materials Today Catalysis (2024) Vol. 4, pp. 100039-100039
Open Access | Times Cited: 19
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
Phase stability of high entropy oxides: A critical review
Martina Fracchia, Mauro Coduri, Paolo Ghigna, et al.
Journal of the European Ceramic Society (2023) Vol. 44, Iss. 2, pp. 585-594
Open Access | Times Cited: 37
High‐Throughput Screening of High‐Entropy Fluorite‐Type Oxides as Potential Candidates for Photovoltaic Applications
Mukesh Kumbhakar, Anurag Khandelwal, Shikhar Krishn Jha, et al.
Advanced Energy Materials (2023) Vol. 13, Iss. 24
Open Access | Times Cited: 26
Challenges and Strategies for Synthesizing High Performance Micro and Nanoscale High Entropy Oxide Materials
Liang Zhang, Jiru Jia, Jianhua Yan
Small (2024) Vol. 20, Iss. 28
Closed Access | Times Cited: 8
High-entropy oxides for energy storage and conversion
Weizhai Bao, H. F. Shen, Yangyang Zhang, et al.
Journal of Materials Chemistry A (2024) Vol. 12, Iss. 35, pp. 23179-23201
Closed Access | Times Cited: 8
High Entropy Approach to Engineer Strongly Correlated Functionalities in Manganites
Abhishek Sarkar, Di Wang, Mohana V. Kante, et al.
Advanced Materials (2022) Vol. 35, Iss. 2
Open Access | Times Cited: 37
Fundamental comprehension, synthetic procedures and catalytic applications of high entropy oxide nanomaterials
Qishun Wang, Xiangwen Liu, Daping He, et al.
Materials Today (2023) Vol. 70, pp. 218-236
Closed Access | Times Cited: 21
Oxide ceramics of A2M3O12 family with negative and close-to-zero thermal expansion coefficients: Machine learning-based modeling of functional characteristics
Natalia Kireeva, А. Yu. Tsivadze
Journal of Alloys and Compounds (2024) Vol. 990, pp. 174356-174356
Closed Access | Times Cited: 6
High-entropy battery materials: Revolutionizing energy storage with structural complexity and entropy-driven stabilization
Mukarram Ali, Mohsin Saleem, Tahir Sattar, et al.
Materials Science and Engineering R Reports (2024) Vol. 163, pp. 100921-100921
Closed Access | Times Cited: 6
Prospects and challenges for autonomous catalyst discovery viewed from an experimental perspective
Annette Trunschke
Catalysis Science & Technology (2022) Vol. 12, Iss. 11, pp. 3650-3669
Open Access | Times Cited: 26
Powder X‐Ray Diffraction Pattern Is All You Need for Machine‐Learning‐Based Symmetry Identification and Property Prediction
Byung Do Lee, Jin-Woong Lee, Woon Bae Park, et al.
Advanced Intelligent Systems (2022) Vol. 4, Iss. 7
Closed Access | Times Cited: 26
Synthesis methods and applications of high entropy nanoparticles
Yibo Lu, Guangxun Zhang, Feiyu Yang, et al.
Rare Metals (2023) Vol. 42, Iss. 10, pp. 3212-3245
Closed Access | Times Cited: 15
Machine Learning Assisted Prediction and Synthesis of New High-Entropy Flourite Oxide
Daniel Zanetti de Florio, Arlete Santos, J. Almeida, et al.
(2025)
Closed Access
Challenges and Opportunities of Chemiresistors Based on Microelectromechanical Systems for Chemical Olfaction
Mengya Guo, James T. Brewster, Huacheng Zhang, et al.
ACS Nano (2022) Vol. 16, Iss. 11, pp. 17778-17801
Open Access | Times Cited: 22
Studying Complex Evolution of Hyperelastic Materials under External Field Stimuli using Artificial Neural Networks with Spatiotemporal Features in a Small‐Scale Dataset
Songlin Yu, Haiyang Chai, Yuqi Xiong, et al.
Advanced Materials (2022) Vol. 34, Iss. 26
Closed Access | Times Cited: 19
Influence of oxygen vacancies on dielectric properties and phase transition of rutile-type (TiVCrNbTa)O2
Jian Guo, Siwen Yu, Chengyi Chu, et al.
Materialia (2025), pp. 102380-102380
Closed Access
Machine Learning Accelerated Discovery of Entropy-Stabilized Oxide Catalysts for Catalytic Oxidation
Xiaolan Duan, Yang Li, Jiahua Zhao, et al.
Journal of the American Chemical Society (2024)
Closed Access | Times Cited: 3
Synthesis and characterization of dense, rare-earth based high entropy fluorite thin films
Mohana V. Kante, Horst Hahn, Subramshu S. Bhattacharya, et al.
Journal of Alloys and Compounds (2023) Vol. 947, pp. 169430-169430
Open Access | Times Cited: 8
A Deep Learning Approach to Powder X‐Ray Diffraction Pattern Analysis: Addressing Generalizability and Perturbation Issues Simultaneously
Byung Do Lee, Jin-Woong Lee, Junuk Ahn, et al.
Advanced Intelligent Systems (2023) Vol. 5, Iss. 9
Open Access | Times Cited: 7
Machine learning-based evaluation of functional characteristics of Li-rich layered oxide cathode materials using the data of XPS and XRD spectra
Natalia Kireeva, В. С. Первов, А. Yu. Tsivadze
Computational Materials Science (2023) Vol. 231, pp. 112591-112591
Closed Access | Times Cited: 7
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