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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 Learning in Chemistry
Adam C. Mater, Michelle L. Coote
Journal of Chemical Information and Modeling (2019) Vol. 59, Iss. 6, pp. 2545-2559
Closed Access | Times Cited: 498

Showing 1-25 of 498 citing articles:

QSAR without borders
Eugene Muratov, Jürgen Bajorath, Robert P. Sheridan, et al.
Chemical Society Reviews (2020) Vol. 49, Iss. 11, pp. 3525-3564
Open Access | Times Cited: 591
Four Generations of High-Dimensional Neural Network Potentials
Jörg Behler
Chemical Reviews (2021) Vol. 121, Iss. 16, pp. 10037-10072
Closed Access | Times Cited: 551
A Critical Review of Machine Learning of Energy Materials
Chi Chen, Yunxing Zuo, Weike Ye, et al.
Advanced Energy Materials (2020) Vol. 10, Iss. 8
Closed Access | Times Cited: 430
Molecular representations in AI-driven drug discovery: a review and practical guide
Laurianne David, Amol Thakkar, Rocío Mercado, et al.
Journal of Cheminformatics (2020) Vol. 12, Iss. 1
Open Access | Times Cited: 384
Prediction of organic homolytic bond dissociation enthalpies at near chemical accuracy with sub-second computational cost
Peter C. St. John, Yanfei Guan, Yeonjoon Kim, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 250
Electronic Structure Modeling of Metal–Organic Frameworks
Jenna L. Mancuso, Austin M. Mroz, Khoa N. Le, et al.
Chemical Reviews (2020) Vol. 120, Iss. 16, pp. 8641-8715
Closed Access | Times Cited: 228
AlphaFold2 and its applications in the fields of biology and medicine
Zhenyu Yang, Xiaoxi Zeng, Yi Zhao, et al.
Signal Transduction and Targeted Therapy (2023) Vol. 8, Iss. 1
Open Access | Times Cited: 206
Machine learning approaches for the prediction of materials properties
Siwar Chibani, François‐Xavier Coudert
APL Materials (2020) Vol. 8, Iss. 8
Open Access | Times Cited: 176
Quantitative Structure–Selectivity Relationships in Enantioselective Catalysis: Past, Present, and Future
Andrew F. Zahrt, Soumitra V. Athavale, Scott E. Denmark
Chemical Reviews (2019) Vol. 120, Iss. 3, pp. 1620-1689
Open Access | Times Cited: 172
Automated in Silico Design of Homogeneous Catalysts
Marco Foscato, Vidar R. Jensen
ACS Catalysis (2020) Vol. 10, Iss. 3, pp. 2354-2377
Open Access | Times Cited: 172
Neural Network Potentials: A Concise Overview of Methods
Emir Kocer, Tsz Wai Ko, Jörg Behler
Annual Review of Physical Chemistry (2022) Vol. 73, Iss. 1, pp. 163-186
Open Access | Times Cited: 171
Artificial Intelligence in Chemistry: Current Trends and Future Directions
Zachary J. Baum, Xiang Yu, Philippe Y. Ayala, et al.
Journal of Chemical Information and Modeling (2021) Vol. 61, Iss. 7, pp. 3197-3212
Closed Access | Times Cited: 162
Deep Learning for Deep Chemistry: Optimizing the Prediction of Chemical Patterns
Tânia Cova, Alberto A. C. C. Pais
Frontiers in Chemistry (2019) Vol. 7
Open Access | Times Cited: 157
Learning Molecular Representations for Medicinal Chemistry
Kangway V. Chuang, Laura M. Gunsalus, Michael J. Keiser
Journal of Medicinal Chemistry (2020) Vol. 63, Iss. 16, pp. 8705-8722
Open Access | Times Cited: 157
Machine Learning in Catalysis, From Proposal to Practicing
Wenhong Yang, Timothy Tizhe Fidelis, Wen‐Hua Sun
ACS Omega (2019) Vol. 5, Iss. 1, pp. 83-88
Open Access | Times Cited: 156
Machine learning for hydrologic sciences: An introductory overview
Tianfang Xu, Feng Liang
Wiley Interdisciplinary Reviews Water (2021) Vol. 8, Iss. 5
Closed Access | Times Cited: 133
MolGpka: A Web Server for Small Molecule pKa Prediction Using a Graph-Convolutional Neural Network
Xiaolin Pan, Hao Wang, Cuiyu Li, et al.
Journal of Chemical Information and Modeling (2021) Vol. 61, Iss. 7, pp. 3159-3165
Closed Access | Times Cited: 132
Review of Artificial Intelligence and Machine Learning Technologies: Classification, Restrictions, Opportunities and Challenges
Ravil I. Mukhamediev, Yelena Popova, Yan Kuchin, et al.
Mathematics (2022) Vol. 10, Iss. 15, pp. 2552-2552
Open Access | Times Cited: 127
Taking the leap between analytical chemistry and artificial intelligence: A tutorial review
Lucas B. Ayres, Federico J.V. Gómez, Jeb R. Linton, et al.
Analytica Chimica Acta (2021) Vol. 1161, pp. 338403-338403
Closed Access | Times Cited: 124
TranSynergy: Mechanism-driven interpretable deep neural network for the synergistic prediction and pathway deconvolution of drug combinations
Qiao Liu, Lei Xie
PLoS Computational Biology (2021) Vol. 17, Iss. 2, pp. e1008653-e1008653
Open Access | Times Cited: 121
Multi-constraint molecular generation based on conditional transformer, knowledge distillation and reinforcement learning
Jike Wang, Chang‐Yu Hsieh, Mingyang Wang, et al.
Nature Machine Intelligence (2021) Vol. 3, Iss. 10, pp. 914-922
Closed Access | Times Cited: 121
Artificial intelligence for natural product drug discovery
Michael W. Mullowney, Katherine Duncan, Somayah S. Elsayed, et al.
Nature Reviews Drug Discovery (2023) Vol. 22, Iss. 11, pp. 895-916
Closed Access | Times Cited: 111
The Evolution of Data-Driven Modeling in Organic Chemistry
Wendy L. Williams, Lingyu Zeng, Tobias Gensch, et al.
ACS Central Science (2021) Vol. 7, Iss. 10, pp. 1622-1637
Open Access | Times Cited: 110
Predicting cellular responses to complex perturbations in high‐throughput screens
Mohammad Lotfollahi, Anna Klimovskaia Susmelj, Carlo De Donno, et al.
Molecular Systems Biology (2023) Vol. 19, Iss. 6
Open Access | Times Cited: 107
Milvus
Jianguo Wang, Xiaomeng Yi, Rentong Guo, et al.
Proceedings of the 2022 International Conference on Management of Data (2021)
Open Access | Times Cited: 100
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