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:
Machine-learning-based adverse drug event prediction from observational health data: A review
Jonas Denck, Elif Özkırımlı, Ken Wang
Drug Discovery Today (2023) Vol. 28, Iss. 9, pp. 103715-103715
Closed Access | Times Cited: 9
Jonas Denck, Elif Özkırımlı, Ken Wang
Drug Discovery Today (2023) Vol. 28, Iss. 9, pp. 103715-103715
Closed Access | Times Cited: 9
Showing 9 citing articles:
Unveiling nonlinear effects of built environment attributes on urban heat resilience using interpretable machine learning
Qing Liu, Jingyi Wang, Bowen Bai
Urban Climate (2024) Vol. 56, pp. 102046-102046
Closed Access | Times Cited: 8
Qing Liu, Jingyi Wang, Bowen Bai
Urban Climate (2024) Vol. 56, pp. 102046-102046
Closed Access | Times Cited: 8
Leveraging Clinical Data to Enhance the Performance Evaluation of Ceftriaxone Population Pharmacokinetic Models in Children
Stef Schouwenburg, Tim Preijers, Alan Abdulla, et al.
Clinical Pharmacokinetics (2025)
Open Access
Stef Schouwenburg, Tim Preijers, Alan Abdulla, et al.
Clinical Pharmacokinetics (2025)
Open Access
Developing and validating a drug recommendation system based on tumor microenvironment and drug fingerprint
Yan Wang, Xiaoye Jin, Rui Qiu, et al.
Frontiers in Artificial Intelligence (2025) Vol. 7
Open Access
Yan Wang, Xiaoye Jin, Rui Qiu, et al.
Frontiers in Artificial Intelligence (2025) Vol. 7
Open Access
Predictive Modeling of Drug‐Related Adverse Events with Real‐World Data: A Case Study of Linezolid Hematologic Outcomes
Anu Patel, Sarah B. Doernberg, Travis Zack, et al.
Clinical Pharmacology & Therapeutics (2024) Vol. 115, Iss. 4, pp. 847-859
Open Access | Times Cited: 2
Anu Patel, Sarah B. Doernberg, Travis Zack, et al.
Clinical Pharmacology & Therapeutics (2024) Vol. 115, Iss. 4, pp. 847-859
Open Access | Times Cited: 2
Unveiling Nonlinear Effects of Built Environment Attributes on Urban Heat Resilience Using Interpretable Machine Learning
Qing Liu, Jingyi Wang, Bowen Bai
(2024)
Closed Access | Times Cited: 2
Qing Liu, Jingyi Wang, Bowen Bai
(2024)
Closed Access | Times Cited: 2
A real-world pharmacovigilance study on cardiovascular adverse events of tisagenlecleucel using machine learning approach
Juhong Jung, Ju Hwan Kim, Ji-Hwan Bae, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Juhong Jung, Ju Hwan Kim, Ji-Hwan Bae, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Prediction of antidepressant side effects in the Genetic Link to Anxiety and Depression Study
Danyang Li, Yuhao Lin, Helena L. Davies, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Danyang Li, Yuhao Lin, Helena L. Davies, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Dissecting the Predictors of Cyber‐Aggression Through an Explainable Machine Learning Model
Wenfeng Zhu, Kai Wang, Songyu Liu, et al.
Aggressive Behavior (2024) Vol. 51, Iss. 1
Closed Access
Wenfeng Zhu, Kai Wang, Songyu Liu, et al.
Aggressive Behavior (2024) Vol. 51, Iss. 1
Closed Access
Advanced Machine Learning for Risk Assessment of Cardiovascular Disease
Yash Mahajan, Er. Arshdeep, Devansh Saxena, et al.
(2023), pp. 1-6
Closed Access
Yash Mahajan, Er. Arshdeep, Devansh Saxena, et al.
(2023), pp. 1-6
Closed Access
