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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:

In Pursuit of the Exceptional: Research Directions for Machine Learning in Chemical and Materials Science
Joshua Schrier, Alexander J. Norquist, Tonio Buonassisi, et al.
Journal of the American Chemical Society (2023) Vol. 145, Iss. 40, pp. 21699-21716
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Accelerated chemical science with AI
Seoin Back, Alán Aspuru-Guzik, Michele Ceriotti, et al.
Digital Discovery (2023) Vol. 3, Iss. 1, pp. 23-33
Open Access | Times Cited: 37
Structure-based out-of-distribution (OOD) materials property prediction: a benchmark study
Sadman Sadeed Omee, Nihang Fu, Rongzhi Dong, et al.
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 12
Exploring chemistry and additive manufacturing design spaces: a perspective on computationally-guided design of printable alloys
Sofia Sheikh, Brent Vela, Vahid Attari, et al.
Materials Research Letters (2024) Vol. 12, Iss. 4, pp. 235-263
Open Access | Times Cited: 9
Alloying Effects on the Transport Properties of Refractory High-entropy Alloys
Prashant Singh, Cafer Acemi, Aditya Kuchibhotla, et al.
Acta Materialia (2024) Vol. 276, pp. 120032-120032
Closed Access | Times Cited: 6
Probing out-of-distribution generalization in machine learning for materials
Kangming Li, Andre Niyongabo Rubungo, X. L. Lei, et al.
Communications Materials (2025) Vol. 6, Iss. 1
Open Access
Machine Learning for Prediction and Synthesis of Anion Exchange Membranes
Yongjiang Yuan, Pengda Fang, Han Yuan, et al.
Accounts of Materials Research (2025)
Closed Access
Efficient Feature Extraction for Morphologically Complex Self-Assembled Porous Microstructures Using Computational Homology and Unsupervised Machine Learning
Farshid Golnary, Mohsen Asghari
European Journal of Mechanics - A/Solids (2025), pp. 105589-105589
Closed Access
Is There a Simple Descriptor to Predict Laves Phases?
Ritobroto Sikdar, Balaranjan Selvaratnam, Vidyanshu Mishra, et al.
Crystal Growth & Design (2025)
Closed Access
Archerfish: a retrofitted 3D printer for high-throughput combinatorial experimentation via continuous printing
Alexander E. Siemenn, Basita Das, Eunice Aissi, et al.
Digital Discovery (2025)
Open Access
Machine Learning Assisted-Intelligent Lactic Acid Monitoring in Sweat Supported by a Perspiration-Driven Self-Powered Sensor
Jing Xu, Yujin Li, Futing Wang, et al.
Nano Letters (2025)
Closed Access
Ultrasound and sonochemistry enhance education outcomes: From fundamentals and applied research to entrepreneurial potential
David Fernández Rivas, Pedro Cintas, Jarka Glassey, et al.
Ultrasonics Sonochemistry (2024) Vol. 103, pp. 106795-106795
Open Access | Times Cited: 5
Oxide ceramics of A2M3O12 family with negative and close-to-zero thermal expansion coefficients: Machine learning-based modeling of functional characteristics
Natalia Kireeva, А. Yu. Tsivadze
Journal of Alloys and Compounds (2024) Vol. 990, pp. 174356-174356
Closed Access | Times Cited: 5
Large Language Models for Inorganic Synthesis Predictions
Seong-Min Kim, Yousung Jung, Joshua Schrier
Journal of the American Chemical Society (2024) Vol. 146, Iss. 29, pp. 19654-19659
Closed Access | Times Cited: 5
Multi-fidelity Bayesian optimization of covalent organic frameworks for xenon/krypton separations
Nickolas Gantzler, Aryan Deshwal, Janardhan Rao Doppa, et al.
Digital Discovery (2023) Vol. 2, Iss. 6, pp. 1937-1956
Open Access | Times Cited: 12
Physics-Guided Dual Self-Supervised Learning for Structure-Based Material Property Prediction
Nihang Fu, Lai Wei, Jianjun Hu
The Journal of Physical Chemistry Letters (2024) Vol. 15, Iss. 10, pp. 2841-2850
Closed Access | Times Cited: 3
Active learning streamlines development of high performance catalysts for higher alcohol synthesis
Manu Suvarna, Tangsheng Zou, Sok Ho Chong, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 3
Multi-Objective, Multi-Constraint High-throughput Design, Synthesis, and Characterization of Tungsten-containing Refractory Multi-Principal Element Alloys
Cafer Acemi, Brent Vela, Eli Norris, et al.
Acta Materialia (2024), pp. 120379-120379
Closed Access | Times Cited: 3
Catalysis in the digital age: Unlocking the power of data with machine learning
B. Moses Abraham, M. V. Jyothirmai, Priyanka Sinha, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2024) Vol. 14, Iss. 5
Open Access | Times Cited: 3
A Review of Large Language Models and Autonomous Agents in Chemistry
Mayk Caldas Ramos, Christopher J. Collison, Andrew Dickson White
Chemical Science (2024)
Open Access | Times Cited: 3
Alloying Effects on the Transport Properties of Refractory High-Entropy Alloys
Prashant Singh, Cafer Acemi, Aditya Kuchibhotla, et al.
(2024)
Closed Access | Times Cited: 2
Novelty detection in the design of synthesis of garnet-structured solid electrolytes
Natalia Kireeva, А. Yu. Tsivadze
Journal of Solid State Chemistry (2024) Vol. 334, pp. 124669-124669
Closed Access | Times Cited: 2
Expanding the Applicability Domain of Machine Learning Model for Advancements in Electrochemical Material Discovery
Kajjana Boonpalit, Jiramet Kinchagawat, Supawadee Namuangruk‬
ChemElectroChem (2024) Vol. 11, Iss. 10
Open Access | Times Cited: 1
Can Deep Learning Search for Exceptional Chiroptical Properties? The Halogenated [6]Helicene Case
Rafael G. Uceda, Alfonso Gijón, Sandra Míguez‐Lago, et al.
(2024)
Open Access | Times Cited: 1
Extrapolative Machine Learning for Accurate Efficiency Prediction in Non‐Fullerene Ternary Organic Solar Cells: Leveraging Computable Molecular Descriptors in High‐Throughput Virtual Screening
Jian‐Ming Liao, Hui‐Hsu Gavin Tsai
Solar RRL (2024) Vol. 8, Iss. 13
Closed Access | Times Cited: 1
Large language models in electronic laboratory notebooks: Transforming materials science research workflows
Mehrdad Jalali, Yi Luo, Lachlan Caulfield, et al.
Materials Today Communications (2024) Vol. 40, pp. 109801-109801
Open Access | Times Cited: 1
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