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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:

Uncertainty quantification: Can we trust artificial intelligence in drug discovery?
Jie Yu, Dingyan Wang, Mingyue Zheng
iScience (2022) Vol. 25, Iss. 8, pp. 104814-104814
Open Access | Times Cited: 24

Showing 24 citing articles:

Enhancing uncertainty quantification in drug discovery with censored regression labels
Emma Svensson, Hannah Rosa Friesacher, Susanne Winiwarter, et al.
Artificial Intelligence in the Life Sciences (2025), pp. 100128-100128
Open Access | Times Cited: 1
Advancing Targeted Protein Degradation via Multiomics Profiling and Artificial Intelligence
Miquel Duran‐Frigola, Marko Cigler, Georg E. Winter
Journal of the American Chemical Society (2023) Vol. 145, Iss. 5, pp. 2711-2732
Open Access | Times Cited: 20
De novo drug design through artificial intelligence: an introduction
Davide Crucitti, Carlos Pérez Míguez, José Ángel Díaz Arias, et al.
Frontiers in Hematology (2024) Vol. 3
Open Access | Times Cited: 7
Artificial intelligence-driven drug repositioning uncovers efavirenz as a modulator of α-synuclein propagation: Implications in Parkinson’s disease
Jae-Bong Kim, Soo‐Jeong Kim, M. L. So, et al.
Biomedicine & Pharmacotherapy (2024) Vol. 174, pp. 116442-116442
Open Access | Times Cited: 7
Artificial intelligence in pharmacy: A guide for clinicians
Steven Smoke
American Journal of Health-System Pharmacy (2024) Vol. 81, Iss. 14, pp. 641-646
Closed Access | Times Cited: 6
Artificial intelligence in molecular de novo design: Integration with experiment
Jon Paul Janet, Lewis Mervin, Ola Engkvist
Current Opinion in Structural Biology (2023) Vol. 80, pp. 102575-102575
Open Access | Times Cited: 14
Deep learning uncertainty quantification for ultrasonic damage identification in composite structures
Houyu Lu, Sergio Cantero‐Chinchilla, Xin Yang, et al.
Composite Structures (2024) Vol. 338, pp. 118087-118087
Closed Access | Times Cited: 4
Development and Evaluation of Conformal Prediction Methods for Quantitative Structure–Activity Relationship
Yuting Xu, Andy Liaw, Robert P. Sheridan, et al.
ACS Omega (2024) Vol. 9, Iss. 27, pp. 29478-29490
Open Access | Times Cited: 4
Scalable crystal structure relaxation using an iteration-free deep generative model with uncertainty quantification
Ziduo Yang, Yiming Zhao, Xian Wang, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 4
The whack-a-mole governance challenge for AI-enabled synthetic biology: literature review and emerging frameworks
Trond Arne Undheim
Frontiers in Bioengineering and Biotechnology (2024) Vol. 12
Open Access | Times Cited: 2
Reducing overconfident errors in molecular property classification using Posterior Network
Zhehuan Fan, Jie Yu, Xiang Zhang, et al.
Patterns (2024) Vol. 5, Iss. 6, pp. 100991-100991
Open Access | Times Cited: 2
Alternate recognition by dengue protease: Proteolytic and binding assays provide functional evidence beyond an induced-fit
Mira A. M. Behnam, Christian D. Klein
Biochimie (2024)
Open Access | Times Cited: 2
A modified GNN architecture with enhanced aggregator and Message Passing Functions
Debjit Sarkar, Sourodeep Roy, Samir Malakar, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106077-106077
Closed Access | Times Cited: 5
Transfer learning and clustering analysis of epileptic EEG signals on Riemannian manifold
Hui Xu, Hong He, Wei Xue, et al.
Applied Soft Computing (2023) Vol. 146, pp. 110656-110656
Closed Access | Times Cited: 4
An Uncertainty-Guided Deep Learning Method Facilitates Rapid Screening of CYP3A4 Inhibitors
Ruixuan Wang, Zhikang Liu, Jia-Hao Gong, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 24, pp. 7699-7710
Closed Access | Times Cited: 4
Alternate recognition by dengue protease: Proteolytic and binding assays provide functional evidence beyond an induced-fit
Mira A. M. Behnam, Christian D. Klein
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
New Era’s of Artificial Intelligence in Pharmaceutical Industries
Adarsh Dubey, Abhishek Yadav
Asian Journal of Pharmaceutical Research and Development (2024) Vol. 12, Iss. 2, pp. 71-76
Open Access | Times Cited: 1
Analysis of machine learning prediction reliability based on sampling distance evaluation with feature decorrelation
Evan Askanazi, Ilya Grinberg
Machine Learning Science and Technology (2024) Vol. 5, Iss. 2, pp. 025030-025030
Open Access | Times Cited: 1
Targeted deep learning classification and feature extraction for clinical diagnosis
Yi-Ting Tsai, Vikash Nanthakumar, Saeed Mohammadi, et al.
iScience (2023) Vol. 26, Iss. 11, pp. 108006-108006
Open Access | Times Cited: 3
Machine Learning Regions of Reliability based on Sampling Distance Evaluation with Feature Decorrelation for Tabular Time Datasets
Evan Askanazi, Ilya Grinberg
Research Square (Research Square) (2024)
Open Access
Machine Learning ADME Models in Practice: Four Guidelines from a Successful Lead Optimization Case Study
Alexander Rich, Yvonne Chan, Benjamin Birnbaum, et al.
ACS Medicinal Chemistry Letters (2024) Vol. 15, Iss. 8, pp. 1169-1173
Open Access
Temporal Evaluation of Uncertainty Quantification Under Distribution Shift
Emma Svensson, Hannah Rosa Friesacher, Ádám Arany, et al.
Lecture notes in computer science (2024), pp. 132-148
Open Access
Conformalized Graph Learning for Molecular ADMET Property Prediction and Reliable Uncertainty Quantification
Peiyao Li, Lan Hua, Zhechao Ma, et al.
Journal of Chemical Information and Modeling (2024)
Closed Access
Computational interrogation of natural compounds identified resveratrol-3-O-D-glucopyranoside as a potential inhibitor of essential monkeypox virus proteins
Oluwafemi Abiodun Adepoju, Ammar Usman Danazumi, Lamin BS Dibba, et al.
Intelligent Medicine (2024)
Open Access
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