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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:

Deep language models for interpretative and predictive materials science
Yiwen Hu, Markus J. Buehler
APL Machine Learning (2023) Vol. 1, Iss. 1
Open Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

Scope of machine learning in materials research—A review
Md Hosne Mobarak, Mariam Akter Mimona, Md Aminul Islam, et al.
Applied Surface Science Advances (2023) Vol. 18, pp. 100523-100523
Open Access | Times Cited: 65
Unleashing the Power of Artificial Intelligence in Materials Design
Silvia Badini, Stefano Regondi, Raffaele Pugliese
Materials (2023) Vol. 16, Iss. 17, pp. 5927-5927
Open Access | Times Cited: 52
MechGPT, a Language-Based Strategy for Mechanics and Materials Modeling That Connects Knowledge Across Scales, Disciplines, and Modalities
Markus J. Buehler
Applied Mechanics Reviews (2023) Vol. 76, Iss. 2
Open Access | Times Cited: 46
Generative Retrieval-Augmented Ontologic Graph and Multiagent Strategies for Interpretive Large Language Model-Based Materials Design
Markus J. Buehler
ACS Engineering Au (2024) Vol. 4, Iss. 2, pp. 241-277
Open Access | Times Cited: 24
ProtAgents: protein discovery via large language model multi-agent collaborations combining physics and machine learning
Alireza Ghafarollahi, Markus J. Buehler
Digital Discovery (2024) Vol. 3, Iss. 7, pp. 1389-1409
Open Access | Times Cited: 19
Advances, Synergy, and Perspectives of Machine Learning and Biobased Polymers for Energy, Fuels, and Biochemicals for a Sustainable Future
Abu Danish Aiman Bin Abu Sofian, Xun Sun, Vijai Kumar Gupta, et al.
Energy & Fuels (2024) Vol. 38, Iss. 3, pp. 1593-1617
Open Access | Times Cited: 18
Automating alloy design and discovery with physics-aware multimodal multiagent AI
Alireza Ghafarollahi, Markus J. Buehler
Proceedings of the National Academy of Sciences (2025) Vol. 122, Iss. 4
Open Access | Times Cited: 2
MeLM, a generative pretrained language modeling framework that solves forward and inverse mechanics problems
Markus J. Buehler
Journal of the Mechanics and Physics of Solids (2023) Vol. 181, pp. 105454-105454
Open Access | Times Cited: 33
Untapped Potential of Deep Eutectic Solvents for the Synthesis of Bioinspired Inorganic–Organic Materials
Marcin Wysokowski, Rachel K. Luu, Sofia Arevalo, et al.
Chemistry of Materials (2023) Vol. 35, Iss. 19, pp. 7878-7903
Open Access | Times Cited: 27
Applications of machine learning in supercritical fluids research
Lucien Roach, Gian‐Marco Rignanese, Arnaud Erriguible, et al.
The Journal of Supercritical Fluids (2023) Vol. 202, pp. 106051-106051
Open Access | Times Cited: 24
Micromechanics-based deep-learning for composites: Challenges and future perspectives
Mohsen Mirkhalaf, I.B.C.M. Rocha
European Journal of Mechanics - A/Solids (2024) Vol. 105, pp. 105242-105242
Open Access | Times Cited: 15
X-LoRA: Mixture of low-rank adapter experts, a flexible framework for large language models with applications in protein mechanics and molecular design
Eric L. Buehler, Markus J. Buehler
APL Machine Learning (2024) Vol. 2, Iss. 2
Open Access | Times Cited: 13
The Future of Material Scientists in an Age of Artificial Intelligence
Ayman Maqsood, Chen Chen, T. Jesper Jacobsson
Advanced Science (2024) Vol. 11, Iss. 19
Open Access | Times Cited: 12
Cross-Domain Knowledge Transfer without Retraining to Facilitating Seamless Knowledge Application in Large Language Models
Jae Hoon Kim, Hye Rin Kim
Research Square (Research Square) (2024)
Open Access | Times Cited: 12
Accelerating Scientific Discovery with Generative Knowledge Extraction, Graph-Based Representation, and Multimodal Intelligent Graph Reasoning
Markus J. Buehler
Machine Learning Science and Technology (2024) Vol. 5, Iss. 3, pp. 035083-035083
Open Access | Times Cited: 11
Grand challenges in anticipating and responding to critical materials supply risks
Anthony Y. Ku, Elisa Alonso, Roderick G. Eggert, et al.
Joule (2024) Vol. 8, Iss. 5, pp. 1208-1223
Open Access | Times Cited: 9
Benchmarking the Hallucination Tendency of Google Gemini and Moonshot Kimi
Ruoxi Shan, Qiang Ming, Guang Hong, et al.
(2024)
Open Access | Times Cited: 9
Cephalo: Multi‐Modal Vision‐Language Models for Bio‐Inspired Materials Analysis and Design
Markus J. Buehler
Advanced Functional Materials (2024)
Open Access | Times Cited: 9
Modeling and design of heterogeneous hierarchical bioinspired spider web structures using deep learning and additive manufacturing
Wei Lu, Nic A. Lee, Markus J. Buehler
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 31
Open Access | Times Cited: 22
Generative discovery of de novo chemical designs using diffusion modeling and transformer deep neural networks with application to deep eutectic solvents
Rachel K. Luu, Marcin Wysokowski, Markus J. Buehler
Applied Physics Letters (2023) Vol. 122, Iss. 23
Open Access | Times Cited: 20
Generative pretrained autoregressive transformer graph neural network applied to the analysis and discovery of novel proteins
Markus J. Buehler
Journal of Applied Physics (2023) Vol. 134, Iss. 8
Open Access | Times Cited: 18
Perspective: Large Language Models in Applied Mechanics
Neal R. Brodnik, Samuel Carton, C. Muir, et al.
Journal of Applied Mechanics (2023) Vol. 90, Iss. 10
Closed Access | Times Cited: 17
Enhancing mechanical and bioinspired materials through generative AI approaches
Silvia Badini, Stefano Regondi, Raffaele Pugliese
Next Materials (2024) Vol. 6, pp. 100275-100275
Closed Access | Times Cited: 8
Learning from Nature to Achieve Material Sustainability: Generative AI for Rigorous Bio-inspired Materials Design
Rachel K. Luu, Sofia Arevalo, Wei Lu, et al.
(2024)
Open Access | Times Cited: 7
Multimodal Transformer for Property Prediction in Polymers
Seunghee Han, Yeonghun Kang, Hyunsoo Park, et al.
ACS Applied Materials & Interfaces (2024) Vol. 16, Iss. 13, pp. 16853-16860
Closed Access | Times Cited: 6
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