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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:

Representations and strategies for transferable machine learning improve model performance in chemical discovery
Daniel R. Harper, Aditya Nandy, N. Arunachalam, et al.
The Journal of Chemical Physics (2022) Vol. 156, Iss. 7
Open Access | Times Cited: 12

Showing 12 citing articles:

Representations of Materials for Machine Learning
James Damewood, Jessica Karaguesian, Jaclyn R. Lunger, et al.
Annual Review of Materials Research (2023) Vol. 53, Iss. 1, pp. 399-426
Open Access | Times Cited: 53
Low-cost machine learning prediction of excited state properties of iridium-centered phosphors
Gianmarco Terrones, Chenru Duan, Aditya Nandy, et al.
Chemical Science (2023) Vol. 14, Iss. 6, pp. 1419-1433
Open Access | Times Cited: 25
Supercritical water gasification thermodynamic study and hybrid modeling of machine learning with the ideal gas model: Application to gasification of microalgae biomass
J.M. Santos J, Ícaro Augusto Maccari Zelioli, En F, et al.
Energy (2024) Vol. 291, pp. 130287-130287
Closed Access | Times Cited: 14
Mechanistic Inference from Statistical Models at Different Data-Size Regimes
Danilo M. Lustosa, Anat Milo
ACS Catalysis (2022) Vol. 12, Iss. 13, pp. 7886-7906
Closed Access | Times Cited: 30
A novel modeling strategy for the prediction on the concentration of H2 and CH4 in raw coke oven gas
Yang Lei, Yuming Chen, Jinghai Chen, et al.
Energy (2023) Vol. 273, pp. 127126-127126
Open Access | Times Cited: 15
A transferable recommender approach for selecting the best density functional approximations in chemical discovery
Chenru Duan, Aditya Nandy, Ralf Meyer, et al.
Nature Computational Science (2022) Vol. 3, Iss. 1, pp. 38-47
Open Access | Times Cited: 22
Active Learning Exploration of Transition-Metal Complexes to Discover Method-Insensitive and Synthetically Accessible Chromophores
Chenru Duan, Aditya Nandy, Gianmarco Terrones, et al.
JACS Au (2022) Vol. 3, Iss. 2, pp. 391-401
Open Access | Times Cited: 15
Exploiting Ligand Additivity for Transferable Machine Learning of Multireference Character across Known Transition Metal Complex Ligands
Chenru Duan, Adriana Ladera, Julian C. -L. Liu, et al.
Journal of Chemical Theory and Computation (2022) Vol. 18, Iss. 8, pp. 4836-4845
Open Access | Times Cited: 11
Hybrid Modeling of Machine Learning and Phenomenological Model for Predicting the Biomass Gasification Process in Supercritical Water for Hydrogen Production
Julles Mitoura dos Santos, Ícaro Augusto Maccari Zelioli, Adriano Pinto Mariano
Eng—Advances in Engineering (2023) Vol. 4, Iss. 2, pp. 1495-1515
Open Access | Times Cited: 6
Learning Design Rules for Catalysts Through Computational Chemistry and Machine Learning
Aditya Nandy, Heather J. Kulik
(2024), pp. 513-558
Closed Access | Times Cited: 1
Chemical design by artificial intelligence
Daniel H. Ess, Kim E. Jelfs, Heather J. Kulik
The Journal of Chemical Physics (2022) Vol. 157, Iss. 12
Open Access | Times Cited: 6
Data-driven ligand field exploration of Fe(iv)–oxo sites for C–H activation
Grier M. Jones, Brett A. Smith, Justin K. Kirkland, et al.
Inorganic Chemistry Frontiers (2022) Vol. 10, Iss. 4, pp. 1062-1075
Closed Access | Times Cited: 5
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