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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:

Discovering and understanding materials through computation
Steven G. Louie, Yang‐Hao Chan, Felipe H. da Jornada, et al.
Nature Materials (2021) Vol. 20, Iss. 6, pp. 728-735
Closed Access | Times Cited: 111

Showing 1-25 of 111 citing articles:

Gaussian Process Regression for Materials and Molecules
Volker L. Deringer, Albert P. Bartók, Noam Bernstein, et al.
Chemical Reviews (2021) Vol. 121, Iss. 16, pp. 10073-10141
Open Access | Times Cited: 791
Machine learning in energy storage materials
Zhonghui Shen, Hanxing Liu, Yang Shen, et al.
Interdisciplinary materials (2022) Vol. 1, Iss. 2, pp. 175-195
Open Access | Times Cited: 73
Advancing Predictive Risk Assessment of Chemicals via Integrating Machine Learning, Computational Modeling, and Chemical/Nano‐Quantitative Structure‐Activity Relationship Approaches
Ajay Vikram Singh, Mansi Varma, Mansi Rai, et al.
Advanced Intelligent Systems (2024) Vol. 6, Iss. 4
Closed Access | Times Cited: 45
Data-driven pursuit of electrochemically stable 2D materials with basal plane activity toward oxygen electrocatalysis
Xiangyu Guo, Shengli Zhang, Liangzhi Kou, et al.
Energy & Environmental Science (2023) Vol. 16, Iss. 11, pp. 5003-5018
Closed Access | Times Cited: 44
Extrapolative prediction of small-data molecular property using quantum mechanics-assisted machine learning
Hajime Shimakawa, Akiko Kumada, Masahiro Sato
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 18
DFT calculation for organic semiconductor-based gas sensors: Sensing mechanism, dynamic response and sensing materials
Zhongchao Zhou, Jian Song, Yinghao Xie, et al.
Chinese Chemical Letters (2025), pp. 110906-110906
Closed Access | Times Cited: 2
Comprehensive crystallographic engineering for high-efficiency and durable zinc metal anodes
Zhongcheng Peng, Xiran Shen, Binghui Li, et al.
Progress in Materials Science (2025), pp. 101453-101453
Closed Access | Times Cited: 2
Machine learning and materials informatics approaches in the analysis of physical properties of carbon nanotubes: A review
Luis Enrique Vivanco-Benavides, Claudia Lizbeth Martínez‐González, C. Mercado-Zúñiga, et al.
Computational Materials Science (2021) Vol. 201, pp. 110939-110939
Closed Access | Times Cited: 80
Multi-scale computer-aided design and photo-controlled macromolecular synthesis boosting uranium harvesting from seawater
Zeyu Liu, Youshi Lan, Jianfeng Jia, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 56
Understanding Contact Electrification at Water/Polymer Interface
Nan Yang, Jiajia Shao, Morten Willatzen, et al.
Research (2022) Vol. 2022
Open Access | Times Cited: 52
Upgrading carbonaceous materials: Coal, tar, pitch, and beyond
Xining Zang, Yuan Dong, Cuiying Jian, et al.
Matter (2022) Vol. 5, Iss. 2, pp. 430-447
Closed Access | Times Cited: 47
Reversible assembly of nanoparticles: theory, strategies and computational simulations
Denis Gentili, Guido Ori
Nanoscale (2022) Vol. 14, Iss. 39, pp. 14385-14432
Open Access | Times Cited: 43
Machine learning in metal-ion battery research: Advancing material prediction, characterization, and status evaluation
Tong Yu, Chunyang Wang, Huicong Yang, et al.
Journal of Energy Chemistry (2023) Vol. 90, pp. 191-204
Closed Access | Times Cited: 23
In Silico Chemical Experiments in the Age of AI: From Quantum Chemistry to Machine Learning and Back
Abdulrahman Aldossary, Jorge A. Campos-Gonzalez-Angulo, Sergio Pablo‐García, et al.
Advanced Materials (2024) Vol. 36, Iss. 30
Closed Access | Times Cited: 15
A prompt-engineered large language model, deep learning workflow for materials classification
Siyu Liu, Tongqi Wen, Arvind Pattamatta, et al.
Materials Today (2024)
Closed Access | Times Cited: 11
Luminescence From Localized States in Solids: A First‐Principles Perspective
Zewei Li, Jiahao Xie, Muhammad Faizan, et al.
Advanced Functional Materials (2025)
Closed Access | Times Cited: 1
Materials Data toward Machine Learning: Advances and Challenges
Linggang Zhu, Jian Zhou, Zhimei Sun
The Journal of Physical Chemistry Letters (2022) Vol. 13, Iss. 18, pp. 3965-3977
Closed Access | Times Cited: 33
The effects of organic cation rotation in hybrid Organic-Inorganic Perovskites: A critical review
Siyu Liu, Ruiqian Guo, Fengxian Xie
Materials & Design (2022) Vol. 221, pp. 110951-110951
Open Access | Times Cited: 30
AlphaMat: a material informatics hub connecting data, features, models and applications
Zhilong Wang, An Chen, Kehao Tao, et al.
npj Computational Materials (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 22
Machine learning assisted screening of MXenes pseudocapacitive materials
Lijing Wang, Shan Gao, Wenting Li, et al.
Journal of Power Sources (2023) Vol. 564, pp. 232834-232834
Closed Access | Times Cited: 18
Two-Gap Superconductivity and the Decisive Role of Rare-Earth d Electrons in Infinite-Layer Nickelates
Zhenglu Li, Steven G. Louie
Physical Review Letters (2024) Vol. 133, Iss. 12
Closed Access | Times Cited: 7
A review of quantum chemical methods for treating energetic molecules
Shitai Guo, Jian Liu, Wen Qian, et al.
Energetic Materials Frontiers (2021) Vol. 2, Iss. 4, pp. 292-305
Open Access | Times Cited: 34
Machine learning mechanical properties of defect-engineered hexagonal boron nitride
Yi Shen, Shuze Zhu
Computational Materials Science (2023) Vol. 220, pp. 112030-112030
Closed Access | Times Cited: 15
Multimodal Data Fusion Enhanced Deep Learning Prediction of Crack Path Segmentation in CFRP Composites
Peng Zhang, Keke Tang, Guangxu Chen, et al.
Composites Science and Technology (2024) Vol. 257, pp. 110812-110812
Closed Access | Times Cited: 6
Exploring Quantum Materials with Resonant Inelastic X-Ray Scattering
Matteo Mitrano, Steven Johnston, Young‐June Kim, et al.
Physical Review X (2024) Vol. 14, Iss. 4
Open Access | Times Cited: 6
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