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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:

Stability and Equilibrium Structures of Unknown Ternary Metal Oxides Explored by Machine-Learned Potentials
Seungwoo Hwang, Jisu Jung, Chang‐Ho Hong, et al.
Journal of the American Chemical Society (2023) Vol. 145, Iss. 35, pp. 19378-19386
Closed Access | Times Cited: 14

Showing 14 citing articles:

Band Alignment of Oxides by Learnable Structural-Descriptor-Aided Neural Network and Transfer Learning
Shin Kiyohara, Yoyo Hinuma, Fumiyasu Oba
Journal of the American Chemical Society (2024) Vol. 146, Iss. 14, pp. 9697-9708
Open Access | Times Cited: 8
Designing semiconductor materials and devices in the post-Moore era by tackling computational challenges with data-driven strategies
Jiahao Xie, Yansong Zhou, Muhammad Faizan, et al.
Nature Computational Science (2024) Vol. 4, Iss. 5, pp. 322-333
Closed Access | Times Cited: 7
Computational design of energy‐related materials: From first‐principles calculations to machine learning
Haibo Xue, Guanjian Cheng, Wan‐Jian Yin
Wiley Interdisciplinary Reviews Computational Molecular Science (2024) Vol. 14, Iss. 5
Closed Access | Times Cited: 4
Crystal Structure Prediction of Cs–Te with Supervised Machine Learning
Holger‐Dietrich Saßnick, Caterina Cocchi
Advanced Theory and Simulations (2025)
Open Access
AI-empowered digital design of zeolites: Progress, challenges, and perspectives
Mengfan Wu, Shiyi Zhang, Jie Ren
APL Materials (2025) Vol. 13, Iss. 2
Open Access
Crystal Structure Prediction Using a Self-Attention Neural Network and Semantic Segmentation
Wuling Zhao, Mingting Zhou, Jialin Shao, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
Intelligent Structure Searching and Designs for Nanoclusters: Effective Units in Atomic Manufacturing
Junfeng Gao, Luneng Zhao, Yuan Chang, et al.
Advanced Intelligent Systems (2024) Vol. 6, Iss. 6
Open Access | Times Cited: 3
Machine learning interatomic potentials in engineering perspective for developing cathode materials
Dohyeong Kwon, Duho Kim
Journal of Materials Chemistry A (2024) Vol. 12, Iss. 35, pp. 23837-23847
Closed Access | Times Cited: 3
Applications and training sets of machine learning potentials
Chang‐Ho Hong, Jaehoon Kim, Jaesun Kim, et al.
Science and Technology of Advanced Materials Methods (2023) Vol. 3, Iss. 1
Open Access | Times Cited: 8
Machine Learning-Assisted Exploration and Identification of Aqueous Dispersants in the Vast Diversity of Organic Chemicals
Hirokuni Jintoku, Don N. Futaba
ACS Applied Materials & Interfaces (2024) Vol. 16, Iss. 9, pp. 11800-11808
Closed Access | Times Cited: 2
Data-Efficient Multifidelity Training for High-Fidelity Machine Learning Interatomic Potentials
Jaesun Kim, Jisu Kim, Jaehoon Kim, et al.
Journal of the American Chemical Society (2024)
Closed Access | Times Cited: 2
Effect of ternary compound on HfO2-Al2O3 mixture coatings revealed by solid-state NMR and TOF-SIMS
Jiahui Wen, Liang Ke, Jinjun Ren, et al.
Materials Science in Semiconductor Processing (2024) Vol. 184, pp. 108785-108785
Closed Access
Introduction to flexible electronics
Daniela Nunes, Ana Pimentel, Pedro Barquinha, et al.
Elsevier eBooks (2024), pp. 3-46
Closed Access
How graph neural network interatomic potentials extrapolate: Role of the message-passing algorithm
Sungwoo Kang
The Journal of Chemical Physics (2024) Vol. 161, Iss. 24
Open Access
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