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:

Drug discovery with explainable artificial intelligence
José Jiménez-Luna, Francesca Grisoni, Gisbert Schneider
Nature Machine Intelligence (2020) Vol. 2, Iss. 10, pp. 573-584
Open Access | Times Cited: 692

Showing 1-25 of 692 citing articles:

A guide to machine learning for biologists
Joe G. Greener, Shaun M. Kandathil, Lewis Moffat, et al.
Nature Reviews Molecular Cell Biology (2021) Vol. 23, Iss. 1, pp. 40-55
Open Access | Times Cited: 1156
Artificial intelligence to deep learning: machine intelligence approach for drug discovery
Rohan Gupta, Devesh Srivastava, Mehar Sahu, et al.
Molecular Diversity (2021) Vol. 25, Iss. 3, pp. 1315-1360
Open Access | Times Cited: 812
Why 90% of clinical drug development fails and how to improve it?
Duxin Sun, Wei Gao, Hongxiang Hu, et al.
Acta Pharmaceutica Sinica B (2022) Vol. 12, Iss. 7, pp. 3049-3062
Open Access | Times Cited: 764
Computational approaches streamlining drug discovery
Anastasiia Sadybekov, Vsevolod Katritch
Nature (2023) Vol. 616, Iss. 7958, pp. 673-685
Open Access | Times Cited: 470
Artificial intelligence in drug discovery: recent advances and future perspectives
José Jiménez-Luna, Francesca Grisoni, Nils Weskamp, et al.
Expert Opinion on Drug Discovery (2021) Vol. 16, Iss. 9, pp. 949-959
Open Access | Times Cited: 274
Geometric deep learning on molecular representations
Kenneth Atz, Francesca Grisoni, Gisbert Schneider
Nature Machine Intelligence (2021) Vol. 3, Iss. 12, pp. 1023-1032
Closed Access | Times Cited: 229
A Systematic Review of Explainable Artificial Intelligence in Terms of Different Application Domains and Tasks
Mir Riyanul Islam, Mobyen Uddin Ahmed, Shaibal Barua, et al.
Applied Sciences (2022) Vol. 12, Iss. 3, pp. 1353-1353
Open Access | Times Cited: 193
Machine Learning in Environmental Research: Common Pitfalls and Best Practices
Jun‐Jie Zhu, Meiqi Yang, Zhiyong Jason Ren
Environmental Science & Technology (2023) Vol. 57, Iss. 46, pp. 17671-17689
Closed Access | Times Cited: 193
Artificial intelligence in cancer target identification and drug discovery
Yujie You, Xin Lai, Yi Pan, et al.
Signal Transduction and Targeted Therapy (2022) Vol. 7, Iss. 1
Open Access | Times Cited: 186
Combining Machine Learning and Computational Chemistry for Predictive Insights Into Chemical Systems
John A. Keith, Valentín Vassilev-Galindo, Bingqing Cheng, et al.
Chemical Reviews (2021) Vol. 121, Iss. 16, pp. 9816-9872
Open Access | Times Cited: 176
Efficient Exploration of Chemical Space with Docking and Deep Learning
Yang Ying, Kun Yao, Matthew P. Repasky, et al.
Journal of Chemical Theory and Computation (2021) Vol. 17, Iss. 11, pp. 7106-7119
Closed Access | Times Cited: 166
Deep learning in drug discovery: an integrative review and future challenges
Heba Askr, Enas Elgeldawi, Heba Aboul Ella, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 7, pp. 5975-6037
Open Access | Times Cited: 160
SHIFTing artificial intelligence to be responsible in healthcare: A systematic review
Haytham Siala, Yichuan Wang
Social Science & Medicine (2022) Vol. 296, pp. 114782-114782
Open Access | Times Cited: 155
InteractionGraphNet: A Novel and Efficient Deep Graph Representation Learning Framework for Accurate Protein–Ligand Interaction Predictions
Dejun Jiang, Chang‐Yu Hsieh, Zhenhua Wu, et al.
Journal of Medicinal Chemistry (2021) Vol. 64, Iss. 24, pp. 18209-18232
Closed Access | Times Cited: 152
Discovery of a structural class of antibiotics with explainable deep learning
Felix Wong, Erica J. Zheng, Jacqueline A. Valeri, et al.
Nature (2023) Vol. 626, Iss. 7997, pp. 177-185
Open Access | Times Cited: 147
Graph representation learning in biomedicine and healthcare
Michelle M. Li, Kexin Huang, Marinka Żitnik
Nature Biomedical Engineering (2022) Vol. 6, Iss. 12, pp. 1353-1369
Open Access | Times Cited: 144
Interpretable machine learning for building energy management: A state-of-the-art review
Zhe Chen, Fu Xiao, Fangzhou Guo, et al.
Advances in Applied Energy (2023) Vol. 9, pp. 100123-100123
Open Access | Times Cited: 144
Evidential Deep Learning for Guided Molecular Property Prediction and Discovery
Ava P. Soleimany, Alexander Amini, Samuel Goldman, et al.
ACS Central Science (2021) Vol. 7, Iss. 8, pp. 1356-1367
Open Access | Times Cited: 133
Leveraging artificial intelligence in the fight against infectious diseases
Felix Wong, César de la Fuente‐Núñez, James J. Collins
Science (2023) Vol. 381, Iss. 6654, pp. 164-170
Open Access | Times Cited: 132
Controllable protein design with language models
Noelia Ferruz, Birte Höcker
Nature Machine Intelligence (2022) Vol. 4, Iss. 6, pp. 521-532
Open Access | Times Cited: 124
Trustworthy AI: A Computational Perspective
Haochen Liu, Yiqi Wang, Wenqi Fan, et al.
ACM Transactions on Intelligent Systems and Technology (2022) Vol. 14, Iss. 1, pp. 1-59
Open Access | Times Cited: 121
A review on machine learning algorithms for the ionic liquid chemical space
Spyridon Koutsoukos, Frederik Philippi, Francisco Malaret, et al.
Chemical Science (2021) Vol. 12, Iss. 20, pp. 6820-6843
Open Access | Times Cited: 118
Harnessing artificial intelligence for the next generation of 3D printed medicines
Moe Elbadawi, Laura E. McCoubrey, Francesca K. H. Gavins, et al.
Advanced Drug Delivery Reviews (2021) Vol. 175, pp. 113805-113805
Open Access | Times Cited: 118
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
Deep learning methods for molecular representation and property prediction
Zhen Li, Mingjian Jiang, Shuang Wang, et al.
Drug Discovery Today (2022) Vol. 27, Iss. 12, pp. 103373-103373
Closed Access | Times Cited: 114
Page 1 - Next Page

Scroll to top