Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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

Showing 1-25 of 157 citing articles:

Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models
Dejun Jiang, Zhenhua Wu, Chang‐Yu Hsieh, et al.
Journal of Cheminformatics (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 372
Artificial intelligence and machine learning‐aided drug discovery in central nervous system diseases: State‐of‐the‐arts and future directions
Sezen Vatansever, Avner Schlessinger, Daniel Wacker, et al.
Medicinal Research Reviews (2020) Vol. 41, Iss. 3, pp. 1427-1473
Open Access | Times Cited: 240
Amelioration of Alzheimer’s disease pathology by mitophagy inducers identified via machine learning and a cross-species workflow
Chenglong Xie, Xu‐Xu Zhuang, Zhangming Niu, et al.
Nature Biomedical Engineering (2022) Vol. 6, Iss. 1, pp. 76-93
Open Access | Times Cited: 191
AI in drug discovery and its clinical relevance
Rizwan Qureshi, Muhammad Irfan, Taimoor Muzaffar Gondal, et al.
Heliyon (2023) Vol. 9, Iss. 7, pp. e17575-e17575
Open Access | Times Cited: 124
Artificial intelligence in drug discovery: applications and techniques
Jianyuan Deng, Zhibo Yang, Iwao Ojima, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Open Access | Times Cited: 98
Scoring Functions for Protein-Ligand Binding Affinity Prediction Using Structure-based Deep Learning: A Review
Rocco Meli, Garrett M. Morris, Philip C. Biggin
Frontiers in Bioinformatics (2022) Vol. 2
Open Access | Times Cited: 70
Applications of Artificial Intelligence and Machine Learning Algorithms to Crystallization
Christos Xiouras, Fabio Cameli, Gustavo Lunardon Quilló, et al.
Chemical Reviews (2022) Vol. 122, Iss. 15, pp. 13006-13042
Closed Access | Times Cited: 68
Predictive chemistry: machine learning for reaction deployment, reaction development, and reaction discovery
Zhengkai Tu, Thijs Stuyver, Connor W. Coley
Chemical Science (2022) Vol. 14, Iss. 2, pp. 226-244
Open Access | Times Cited: 66
Meta Learning With Graph Attention Networks for Low-Data Drug Discovery
Qiujie Lv, Guanxing Chen, Ziduo Yang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 8, pp. 11218-11230
Closed Access | Times Cited: 43
Machine learning in drug design: Use of artificial intelligence to explore the chemical structure–biological activity relationship
Maciej Staszak, Katarzyna Staszak, Karolina Wieszczycka, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2021) Vol. 12, Iss. 2
Open Access | Times Cited: 85
How can SHAP values help to shape metabolic stability of chemical compounds?
Agnieszka Wojtuch, Rafał Jankowski, Sabina Podlewska
Journal of Cheminformatics (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 81
Comparative analysis of molecular fingerprints in prediction of drug combination effects
Bulat Zagidullin, Ziyan Wang, Yuanfang Guan, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Open Access | Times Cited: 70
Concepts and applications of chemical fingerprint for hit and lead screening
Jingbo Yang, Yiyang Cai, Kairui Zhao, et al.
Drug Discovery Today (2022) Vol. 27, Iss. 11, pp. 103356-103356
Closed Access | Times Cited: 61
Critical assessment of AI in drug discovery
W. Patrick Walters, Regina Barzilay
Expert Opinion on Drug Discovery (2021) Vol. 16, Iss. 9, pp. 937-947
Closed Access | Times Cited: 56
HiGNN: A Hierarchical Informative Graph Neural Network for Molecular Property Prediction Equipped with Feature-Wise Attention
Weimin Zhu, Yi Zhang, Duancheng Zhao, et al.
Journal of Chemical Information and Modeling (2022) Vol. 63, Iss. 1, pp. 43-55
Closed Access | Times Cited: 41
Graph Attention Network Model with Defined Applicability Domains for Screening PBT Chemicals
Haobo Wang, Zhongyu Wang, Jingwen Chen, et al.
Environmental Science & Technology (2022) Vol. 56, Iss. 10, pp. 6774-6785
Closed Access | Times Cited: 36
Computer-Aided Molecular Design of Ionic Liquids as Advanced Process Media: A Review from Fundamentals to Applications
Zhen Song, Jiahui Chen, Jie Cheng, et al.
Chemical Reviews (2023) Vol. 124, Iss. 2, pp. 248-317
Closed Access | Times Cited: 23
Practical guidelines for the use of gradient boosting for molecular property prediction
Davide Boldini, Francesca Grisoni, Daniel Kühn, et al.
Journal of Cheminformatics (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 20
SELFormer: molecular representation learning via SELFIES language models
Atakan Yüksel, Erva Ulusoy, Atabey Ünlü, et al.
Machine Learning Science and Technology (2023) Vol. 4, Iss. 2, pp. 025035-025035
Open Access | Times Cited: 19
SolPredictor: Predicting Solubility with Residual Gated Graph Neural Network
Waqar Ahmad, Hilal Tayara, Hyun Joo Shim, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 2, pp. 715-715
Open Access | Times Cited: 10
Advancing drug discovery with deep attention neural networks
Antonio Lavecchia
Drug Discovery Today (2024) Vol. 29, Iss. 8, pp. 104067-104067
Open Access | Times Cited: 8
Navigating the landscape of enzyme design: from molecular simulations to machine learning
Jiahui Zhou, Meilan Huang
Chemical Society Reviews (2024) Vol. 53, Iss. 16, pp. 8202-8239
Open Access | Times Cited: 8
Molecular similarity: Theory, applications, and perspectives
Kenneth López‐Pérez, Juan F. Avellaneda-Tamayo, Lexin Chen, et al.
Artificial Intelligence Chemistry (2024) Vol. 2, Iss. 2, pp. 100077-100077
Open Access | Times Cited: 7
MutualDTA: An Interpretable Drug–Target Affinity Prediction Model Leveraging Pretrained Models and Mutual Attention
Yongna Yuan, Siming Chen, Rizhen Hu, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
fragSMILES as a chemical string notation for advanced fragment and chirality representation
Fabrizio Mastrolorito, Fulvio Ciriaco, Maria Vittoria Togo, et al.
Communications Chemistry (2025) Vol. 8, Iss. 1
Open Access
Page 1 - Next Page

Scroll to top