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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:

Inverse design of two-dimensional materials with invertible neural networks
Victor Fung, Jiaxin Zhang, Guoxiang Hu, et al.
npj Computational Materials (2021) Vol. 7, Iss. 1
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Machine learning for high-entropy alloys: Progress, challenges and opportunities
Xianglin Liu, Jiaxin Zhang, Zongrui Pei
Progress in Materials Science (2022) Vol. 131, pp. 101018-101018
Open Access | Times Cited: 196
SELFIES and the future of molecular string representations
Mario Krenn, Qianxiang Ai, Senja Barthel, et al.
Patterns (2022) Vol. 3, Iss. 10, pp. 100588-100588
Open Access | Times Cited: 158
Perspective: Machine learning in experimental solid mechanics
Neal R. Brodnik, C. Muir, N. Tulshibagwale, et al.
Journal of the Mechanics and Physics of Solids (2023) Vol. 173, pp. 105231-105231
Open Access | Times Cited: 43
Machine Learning–Assisted Design of Material Properties
Sanket Kadulkar, Zachary M. Sherman, Venkat Ganesan, et al.
Annual Review of Chemical and Biomolecular Engineering (2022) Vol. 13, Iss. 1, pp. 235-254
Open Access | Times Cited: 41
Generative AI for performance-based design of engineered cementitious composite
Jie Yu, Yiwei Weng, Jiangtao Yu, et al.
Composites Part B Engineering (2023) Vol. 266, pp. 110993-110993
Closed Access | Times Cited: 35
Maximizing Triboelectric Nanogenerators by Physics‐Informed AI Inverse Design
Pengcheng Jiao, Zhong Lin Wang, Amir H. Alavi
Advanced Materials (2023) Vol. 36, Iss. 5
Open Access | Times Cited: 23
Recent advances in machine learning guided mechanical properties prediction and design of two-dimensional materials
Rui Liu, Lin Shu, Jing Wan, et al.
Thin-Walled Structures (2025), pp. 113261-113261
Closed Access | Times Cited: 1
Inverse stochastic microstructure design
Adam P. Generale, Andreas E. Robertson, Conlain Kelly, et al.
Acta Materialia (2024) Vol. 271, pp. 119877-119877
Closed Access | Times Cited: 8
MICRO2D: A Large, Statistically Diverse, Heterogeneous Microstructure Dataset
Andreas E. Robertson, Adam P. Generale, Conlain Kelly, et al.
Integrating materials and manufacturing innovation (2024) Vol. 13, Iss. 1, pp. 120-154
Closed Access | Times Cited: 6
Deep learning in two-dimensional materials: Characterization, prediction, and design
Xinqin Meng, Chengbing Qin, Xilong Liang, et al.
Frontiers of Physics (2024) Vol. 19, Iss. 5
Open Access | Times Cited: 5
Spectroscopy-Guided Discovery of Three-Dimensional Structures of Disordered Materials with Diffusion Models
Hyuna Kwon, Tim Hsu, Wenyu Sun, et al.
Machine Learning Science and Technology (2024) Vol. 5, Iss. 4, pp. 045037-045037
Open Access | Times Cited: 5
Inverse design for materials discovery from the multidimensional electronic density of states
Kihoon Bang, J. H. Kim, Doosun Hong, et al.
Journal of Materials Chemistry A (2024) Vol. 12, Iss. 10, pp. 6004-6013
Open Access | Times Cited: 4
Uncovering fast solid-acid proton conductors based on dynamics of polyanion groups and proton bonding strength
Pjotrs A. Žguns, Konstantin Klyukin, Louis S. Wang, et al.
Energy & Environmental Science (2024) Vol. 17, Iss. 15, pp. 5730-5742
Open Access | Times Cited: 4
Artificial Intelligence Approaches for Energetic Materials by Design: State of the Art, Challenges, and Future Directions
Joseph B. Choi, Phong Nguyen, Oishik Sen, et al.
Propellants Explosives Pyrotechnics (2023) Vol. 48, Iss. 4
Open Access | Times Cited: 11
Multi-fidelity Bayesian optimization to solve the inverse Stefan problem
Josef Winter, R. Abaidi, J.W.J. Kaiser, et al.
Computer Methods in Applied Mechanics and Engineering (2023) Vol. 410, pp. 115946-115946
Closed Access | Times Cited: 10
Accelerated Discovery of Vanadium Oxide Compositions: A WGAN-VAE Framework for Materials Design
Danial Ebrahimzadeh, Safura Sharifi, Yaser Michael Banad
(2025)
Closed Access
Generalizable Metamaterials Design Techniques Inspire Efficient Mycelial Materials Inverse Design
Joseph Zavorskas, Harley Edwards, Mark R. Marten, et al.
ACS Biomaterials Science & Engineering (2025)
Closed Access
Inverse design of high-performance piezoelectric semiconductors via advanced crystal representation and large language models
Chen Zhang, Siyuan Lv, Haojie Gong, et al.
Applied Physics Letters (2025) Vol. 126, Iss. 11
Open Access
MELRSNet for accelerating the exploration of novel ultrawide bandgap semiconductors
Z.J. Zhang, Hongzhou Song, Yinlin Ji, et al.
Microstructures (2025) Vol. 5, Iss. 2
Open Access
Thermodynamically-Informed Iterative Neural Operators for heterogeneous elastic localization
Conlain Kelly, Surya R. Kalidindi
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 441, pp. 117939-117939
Closed Access
Language models for materials discovery and sustainability: Progress, challenges, and opportunities
Zongrui Pei, Junqi Yin, Jiaxin Zhang
Progress in Materials Science (2025) Vol. 154, pp. 101495-101495
Closed Access
Ultrafast and accurate prediction of polycrystalline hafnium oxide phase-field ferroelectric hysteresis using graph neural networks
Kévin Alhada–Lahbabi, Damien Deleruyelle, Brice Gautier
Nanoscale Advances (2024) Vol. 6, Iss. 9, pp. 2350-2362
Open Access | Times Cited: 3
Synergy between AI and Optical Metasurfaces: A Critical Overview of Recent Advances
Zoran Jakšić
Photonics (2024) Vol. 11, Iss. 5, pp. 442-442
Open Access | Times Cited: 3
Generative artificial intelligence and optimisation framework for concrete mixture design with low cost and embodied carbon dioxide
Khuong Le Nguyen, Minhaz Uddin, Thong M. Pham
Construction and Building Materials (2024) Vol. 451, pp. 138836-138836
Open Access | Times Cited: 3
Using conditional normalizing flows to generate material placements in an optimized thermal composite
Justin S. Wang, John S. Hyatt, Michael Fish
International Journal of Heat and Mass Transfer (2024) Vol. 224, pp. 125287-125287
Closed Access | Times Cited: 2
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