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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:

Transfer Learning for Drug Discovery
Chenjing Cai, Shiwei Wang, Youjun Xu, et al.
Journal of Medicinal Chemistry (2020) Vol. 63, Iss. 16, pp. 8683-8694
Closed Access | Times Cited: 269

Showing 1-25 of 269 citing articles:

Machine Learning Methods for Small Data Challenges in Molecular Science
Bozheng Dou, Zailiang Zhu, Ekaterina Merkurjev, et al.
Chemical Reviews (2023) Vol. 123, Iss. 13, pp. 8736-8780
Open Access | Times Cited: 144
Artificial intelligence-based multi-omics analysis fuels cancer precision medicine
Xiujing He, Xiaowei Liu, Fengli Zuo, et al.
Seminars in Cancer Biology (2022) Vol. 88, pp. 187-200
Open Access | Times Cited: 123
Ab Initio Machine Learning in Chemical Compound Space
Bing Huang, O. Anatole von Lilienfeld
Chemical Reviews (2021) Vol. 121, Iss. 16, pp. 10001-10036
Open 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: 117
Exposing the Limitations of Molecular Machine Learning with Activity Cliffs
Derek van Tilborg, Alisa Alenicheva, Francesca Grisoni
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 23, pp. 5938-5951
Open Access | Times Cited: 98
Deep learning for drug repurposing: Methods, databases, and applications
Xiaoqin Pan, Xuan Lin, Dongsheng Cao, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2022) Vol. 12, Iss. 4
Open Access | Times Cited: 94
Efficacy of Transfer Learning-based ResNet models in Chest X-ray image classification for detecting COVID-19 Pneumonia
Sadia Showkat, Shaima Qureshi
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 224, pp. 104534-104534
Open Access | Times Cited: 72
Machine learning for synergistic network pharmacology: a comprehensive overview
Fatima Noor, Muhammad Asif, Usman Ali Ashfaq, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 3
Closed Access | Times Cited: 72
New Opportunity: Machine Learning for Polymer Materials Design and Discovery
Pengcheng Xu, Huimin Chen, Minjie Li, et al.
Advanced Theory and Simulations (2022) Vol. 5, Iss. 5
Closed Access | Times Cited: 70
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
Accelerated rational PROTAC design via deep learning and molecular simulations
Shuangjia Zheng, Youhai Tan, Zhenyu Wang, et al.
Nature Machine Intelligence (2022) Vol. 4, Iss. 9, pp. 739-748
Closed Access | Times Cited: 65
Design of target specific peptide inhibitors using generative deep learning and molecular dynamics simulations
Sijie Chen, Tong Lin, Ruchira Basu, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 65
Integrating Artificial Intelligence for Drug Discovery in the Context of Revolutionizing Drug Delivery
Anita Ioana Visan, Irina Neguț
Life (2024) Vol. 14, Iss. 2, pp. 233-233
Open Access | Times Cited: 54
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
Applied machine learning as a driver for polymeric biomaterials design
Samantha M. McDonald, Emily K. Augustine, Quinn Lanners, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 43
Insights into Drug Cardiotoxicity from Biological and Chemical Data: The First Public Classifiers for FDA Drug-Induced Cardiotoxicity Rank
Srijit Seal, Ola Spjuth, Layla Hosseini-Gerami, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 4, pp. 1172-1186
Open Access | Times Cited: 16
Machine Learning Empowering Drug Discovery: Applications, Opportunities and Challenges
Xin Qi, Yuanchun Zhao, Zhuang Qi, et al.
Molecules (2024) Vol. 29, Iss. 4, pp. 903-903
Open Access | Times Cited: 14
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction
Quanming Yao, Zhenqian Shen, Yaqing Wang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 8, pp. 5413-5429
Open Access | Times Cited: 12
Comprehensive Survey of Recent Drug Discovery Using Deep Learning
Jintae Kim, Sera Park, Dongbo Min, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 18, pp. 9983-9983
Open Access | Times Cited: 95
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: 87
Automation and data-driven design of polymer therapeutics
Rahul Upadhya, Shashank Kosuri, Matthew Tamasi, et al.
Advanced Drug Delivery Reviews (2020) Vol. 171, pp. 1-28
Open Access | Times Cited: 76
Neural network potentials for chemistry: concepts, applications and prospects
Silvan Käser, Luis Itza Vazquez-Salazar, Markus Meuwly, et al.
Digital Discovery (2022) Vol. 2, Iss. 1, pp. 28-58
Open Access | Times Cited: 61
RELATION: A Deep Generative Model for Structure-Based De Novo Drug Design
Mingyang Wang, Chang‐Yu Hsieh, Jike Wang, et al.
Journal of Medicinal Chemistry (2022) Vol. 65, Iss. 13, pp. 9478-9492
Closed Access | Times Cited: 58
A point cloud-based deep learning strategy for protein–ligand binding affinity prediction
Yeji Wang, Shuo Wu, Yanwen Duan, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Open Access | Times Cited: 54
Large-Scale Modeling of Multispecies Acute Toxicity End Points Using Consensus of Multitask Deep Learning Methods
Sankalp Jain, Vishal B. Siramshetty, Vinícius M. Alves, et al.
Journal of Chemical Information and Modeling (2021) Vol. 61, Iss. 2, pp. 653-663
Open Access | Times Cited: 53
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