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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:

Methods, progresses, and opportunities of materials informatics
Chen Li, Kun Zheng
InfoMat (2023) Vol. 5, Iss. 8
Open Access | Times Cited: 25

Showing 25 citing articles:

Machine Learning Aided Design and Optimization of Thermal Metamaterials
Changliang Zhu, Emmanuel Anuoluwa Bamidele, Xiangying Shen, et al.
Chemical Reviews (2024) Vol. 124, Iss. 7, pp. 4258-4331
Open Access | Times Cited: 17
Solar‐Driven Hydrogen Evolution from Value‐Added Waste Treatment
Shan Yu, Yi Li, Anqiang Jiang, et al.
Advanced Energy Materials (2024) Vol. 14, Iss. 15
Closed Access | Times Cited: 13
Single-actuated and fully recyclable phase change materials enabled multiple thermochromism toward information storage and encryption
Shiwei Zhao, Anqian Yuan, Xingbao Chen, et al.
Chemical Engineering Journal (2024) Vol. 481, pp. 148698-148698
Closed Access | Times Cited: 7
Advances in materials informatics: a review
Dawn Sivan, K. Satheesh Kumar, Aziman Abdullah, et al.
Journal of Materials Science (2024) Vol. 59, Iss. 7, pp. 2602-2643
Closed Access | Times Cited: 6
Peridynamics-fueled convolutional neural network for predicting mechanical constitutive behaviors of fiber reinforced composites
Binbin Yin, Jiasheng Huang, Weikang Sun
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 431, pp. 117309-117309
Closed Access | Times Cited: 6
In‐Depth Discussion on Electrocatalytic Barrier with Electron Structure of High‐Entropy Alloy Predicted by Transfer Learning and Neural Networks
Chen Li, Rui Zhang, Peijie Ma, et al.
Advanced Functional Materials (2025)
Closed Access
Degeneration of kernel regression with Matern kernels into low-order polynomial regression in high dimension
Sergei Manzhos, Manabu Ihara
The Journal of Chemical Physics (2024) Vol. 160, Iss. 2
Open Access | Times Cited: 5
Data-driven strategy for bandgap database construction of perovskites and the potential segregation study
Bobin Wu, Xinyu Zhang, Zixuan Wang, et al.
Journal of Materials Informatics (2024) Vol. 4, Iss. 2
Open Access | Times Cited: 4
Construction of g-C3N4/Ti3CN MXene Schottky heterojunctions for boosting photocatalytic hydrogen production
XU Feng-wei, Zhaolin Li, Deqi Fan, et al.
Surfaces and Interfaces (2024) Vol. 51, pp. 104658-104658
Closed Access | Times Cited: 2
https://2DMat.ChemDX.org: Experimental data platform for 2D materials from synthesis to physical properties
Jin‐Hoon Yang, Habin Kang, Hyuk Jin Kim, et al.
Digital Discovery (2024) Vol. 3, Iss. 3, pp. 573-585
Open Access | Times Cited: 1
Machine learning in advancing anode materials for Lithium-Ion batteries – A review
Mohammad Aminul Islam, Zahid Ahsan, Mohammad Mustafizur Rahman, et al.
Inorganic Chemistry Communications (2024), pp. 113577-113577
Closed Access | Times Cited: 1
Machine learning applied to the design and optimization of polymeric materials: A review
Sudarsan M. Pai, Karim Ali Shah, S. Shyam Sunder, et al.
Next Materials (2024) Vol. 7, pp. 100449-100449
Closed Access | Times Cited: 1
Machine learning aided design of Bi2WO6/MIL-53(Al) nanocomposites
Xiuyun Zhai, Mingtong Chen
Computational Materials Science (2023) Vol. 233, pp. 112737-112737
Closed Access | Times Cited: 3
Prediction of Photochromism of Salicylideneaniline Crystals Using a Data Mining Approach
Shodai Hasebe, Kan Hatakeyama‐Sato, Kenichi Oyaizu, et al.
ACS Omega (2023) Vol. 9, Iss. 1, pp. 1463-1471
Open Access | Times Cited: 2
Accelerating Dental Adhesive Innovations Through Active Learning and Bayesian Optimization
Ramsey Issa, R. Trent Sorenson, Taylor D. Sparks
(2024)
Open Access
Temporal Decoupling-Based Machine Learning Framework for Precise Efficiency Prediction in Perovskite Solar Cells
Xunyong Yang, Yuqian Yang, Huimin Meng, et al.
The Journal of Physical Chemistry C (2024)
Closed Access
A review on recent applications of machine learning in mechanical properties of composites
Yi Liang, Xinyue Wei, Yongyue Peng, et al.
Polymer Composites (2024)
Closed Access
From Pairwise Comparisons of Complex Behavior to an Overall Performance Rank: A Novel Alloy Design Strategy
Rafael Herschberg, Lisa Rateau, Laure Martinelli, et al.
Metals (2024) Vol. 14, Iss. 12, pp. 1412-1412
Open Access
Machine-learning-assisted exploration of new non-fullerene acceptors for high-efficiency organic solar cells
Zhikang Zhu, Chenyang Zhu, Yibo Tu, et al.
Cell Reports Physical Science (2024) Vol. 5, Iss. 12, pp. 102316-102316
Open Access
A supervised machine learning tool to predict the bactericidal efficiency of nanostructured surface
Y.-W. Chen, Hongyi Chen, A. H. Harker, et al.
Journal of Nanobiotechnology (2024) Vol. 22, Iss. 1
Open Access
Artificial Intelligence in Metamaterial Informatics for Sonic Frequency Mechanical Identification Tags
Daniel Saatchi, Myung‐Joon Lee, Tushar Prashant Pandit, et al.
Advanced Functional Materials (2024)
Closed Access
Advances in Palladium-Based Membrane Research: High-Throughput Techniques and Machine Learning Perspectives
Eric Kolor, Muhammad Usman, Sasipa Boonyubol, et al.
Processes (2024) Vol. 12, Iss. 12, pp. 2855-2855
Open Access
Virtual screening of n-type organic semiconductors using exhaustive band structure calculations
Tomoharu Okada, Wataru Fujiwara, Hiroshi Katagiri, et al.
Science and Technology of Advanced Materials Methods (2024)
Open Access
Advances in materials informatics for tailoring thermal radiation: A perspective review
Jiang Guo, Junichiro Shiomi
Next Energy (2023) Vol. 2, pp. 100078-100078
Open Access
Degeneration of kernel regression with Matern kernels into low-order polynomial regression in high dimension
Sergei Manzhos, Manabu Ihara
arXiv (Cornell University) (2023)
Open Access
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