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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:

Machine Learning in Causal Inference: Application in Pharmacovigilance
Yiqing Zhao, Yue Yu, Hanyin Wang, et al.
Drug Safety (2022) Vol. 45, Iss. 5, pp. 459-476
Open Access | Times Cited: 13

Showing 13 citing articles:

How can machine learning and multiscale modeling benefit ocular drug development?
Nannan Wang, Yunsen Zhang, Wei Wang, et al.
Advanced Drug Delivery Reviews (2023) Vol. 196, pp. 114772-114772
Closed Access | Times Cited: 24
Development and validation of a machine learning-based detection system to improve precision screening for medication errors in the neonatal intensive care unit
Nadir Yalçın, Merve Kaşıkçı, Hasan Tolga Çelik, et al.
Frontiers in Pharmacology (2023) Vol. 14
Open Access | Times Cited: 18
Artificial intelligence and pharmacovigilance: What is happening, what could happen and what should happen?
Andrew Bate, Jens‐Ulrich Stegmann
Health Policy and Technology (2023) Vol. 12, Iss. 2, pp. 100743-100743
Open Access | Times Cited: 15
Sustainable Design and Repair: Leveraging Circular Economy and Machine Learning for Product Development
Noushin Mohammadian, Omid Fatahi Valilai, Alexander Schlüter
Journal of Open Innovation Technology Market and Complexity (2025), pp. 100469-100469
Open Access
Quantifying climate factor contributions to groundwater level changes under different soil freezing-thawing states with the WT-PCMCI model
Zhe Wang, Xiaogang Shi, Longcang Shu, et al.
Journal of Hydrology (2025) Vol. 656, pp. 132997-132997
Closed Access
Characterization of Demographics, Drug Latency, and Mortality of Severe Cutaneous Adverse Reactions in an FDA Pharmacovigilance Database
Eric Mukherjee, David S. Park, Michelle D Martin-Pozo, et al.
medRxiv (Cold Spring Harbor Laboratory) (2025)
Closed Access
Artificial Intelligence and Machine Learning for Safe Medicines
Andrew Bate, Yuan Luo
Drug Safety (2022) Vol. 45, Iss. 5, pp. 403-405
Open Access | Times Cited: 14
DKADE: a novel framework based on deep learning and knowledge graph for identifying adverse drug events and related medications
Zeying Feng, Xue-Hong Wu, Junlong Ma, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Closed Access | Times Cited: 7
Translational analysis of data science and causal learning in real-world clinical evaluation of traditional Chinese medicine
Wei Yang, Danhui Yi, Xiao‐Hua Zhou, et al.
Science of Traditional Chinese Medicine (2024)
Open Access | Times Cited: 1
Causality Assessment in Pharmacovigilance
Madhan Ramesh, Anand Harugeri
Springer eBooks (2024), pp. 191-207
Closed Access | Times Cited: 1
Developing large language models to detect adverse drug events in posts on x
Yu Deng, Yunzhao Xing, Jason Quach, et al.
Journal of Biopharmaceutical Statistics (2024), pp. 1-12
Closed Access | Times Cited: 1
Toward AI-supported evaluation for safety control measures against near-miss events in pharmaceutical products
Rika Okamoto, Ryosuke Kojima, Masahiko Nakatsui
Safety Science (2023) Vol. 168, pp. 106314-106314
Closed Access | Times Cited: 1
RaDonda Vaught, medication safety, and the profession of pharmacy: Steps to improve safety and ensure justice
Bruce L Lambert, Gordon D. Schiff
JACCP JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY (2022) Vol. 5, Iss. 9, pp. 981-987
Open Access | Times Cited: 1
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