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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:

Deep Learning Prediction of Adverse Drug Reactions in Drug Discovery Using Open TG–GATEs and FAERS Databases
Attayeb Mohsen, Lokesh P. Tripathi, Kenji Mizuguchi
Frontiers in Drug Discovery (2021) Vol. 1
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

A Standardized Dataset of a Spontaneous Adverse Event Reporting System
Mohammad A. Khaleel, Amer Hayat Khan, Siti Maisharah Sheikh Ghadzi, et al.
Healthcare (2022) Vol. 10, Iss. 3, pp. 420-420
Open Access | Times Cited: 75
Artificial intelligence in the field of pharmacy practice: A literature review
Sri Harsha Chalasani, Jehath Syed, Madhan Ramesh, et al.
Exploratory Research in Clinical and Social Pharmacy (2023) Vol. 12, pp. 100346-100346
Open Access | Times Cited: 66
Peptide-based drug discovery through artificial intelligence: towards an autonomous design of therapeutic peptides
Montserrat Goles, Anamaria Sanchez–Daza, Gabriel Cabas-Mora, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 4
Open Access | Times Cited: 31
Potential Applications of Artificial Intelligence (AI) in Managing Polypharmacy in Saudi Arabia: A Narrative Review
Safaa Alsanosi, Sandosh Padmanabhan
Healthcare (2024) Vol. 12, Iss. 7, pp. 788-788
Open Access | Times Cited: 8
A systematic review on sex differences in adverse drug reactions related to psychotropic, cardiovascular, and analgesic medications
Yuting Shan, Lee Cheung, Yuqi Zhou, et al.
Frontiers in Pharmacology (2023) Vol. 14
Open Access | Times Cited: 10
Advances in cyclotide research: bioactivity to cyclotide-based therapeutics
Ankita Grover, Sawraj Singh, Sonal Sindhu, et al.
Molecular Diversity (2025)
Closed Access
From Discovery to Delivery: Governance of AI in the Pharmaceutical Industry
Stephanie Pasas-Farmer, Rashi Jain
Green Analytical Chemistry (2025), pp. 100268-100268
Open Access
Comparison of Antiobesity Medication Decisions: Large Language Models and Obesity Medicine Expert Clinicians
Bryn Falahee, Heesun Lee, Tram T. Tran, et al.
(2025) Vol. 1, Iss. 1, pp. 71-78
Closed Access
Artificial Intelligence: Applications in Pharmacovigilance Signal Management
Jeffrey Warner, Anaclara Prada Jardim, Carlo Albera
Pharmaceutical Medicine (2025)
Open Access
PregAN-NET: Addressing class imbalance with GANs in interpretable computational framework for predicting safety profile of drugs considering adverse reactions during pregnancy
Anushka Chaurasia, Deepak Kumar, Yogita Thakran
Journal of Biomedical Informatics (2025) Vol. 166, pp. 104832-104832
Closed Access
Real-World Evidence and AI in Healthcare Analytics
Nur Ozturk
Advances in computational intelligence and robotics book series (2025), pp. 75-112
Closed Access
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: 15
Leveraging pleiotropy for the improved treatment of psychiatric disorders
D Woodward, Jackson G. Thorp, Christel M. Middeldorp, et al.
Molecular Psychiatry (2024)
Open Access | Times Cited: 3
Protein kinase inhibitors as therapeutics in neurodegenerative and psychiatric disorders
Giuseppe Tridente, Ankit Jana, Arnab Nath, et al.
Elsevier eBooks (2023), pp. 403-573
Closed Access | Times Cited: 7
A comprehensive review of artificial intelligence for pharmacology research
Bing Li, Kan Tan, Angelyn R. Lao, et al.
Frontiers in Genetics (2024) Vol. 15
Open Access | Times Cited: 1
Learning Multi-Types of Neighbor Node Attributes and Semantics by Heterogeneous Graph Transformer and Multi-View Attention for Drug-Related Side-Effect Prediction
Ping Xuan, Peiru Li, Hui Cui, et al.
Molecules (2023) Vol. 28, Iss. 18, pp. 6544-6544
Open Access | Times Cited: 3
Predicting adverse drug effects: A heterogeneous graph convolution network with a multi-layer perceptron approach
Yi-Hsin Chen, Yin-Tzer Shih, C.‐S. Chien, et al.
PLoS ONE (2022) Vol. 17, Iss. 12, pp. e0266435-e0266435
Open Access | Times Cited: 4
AIE-DRP: Framework with Machine Learning and Deep Learning Models for Adverse Drug Reaction Prediction in Healthcare Use Case
Muhib Anwar Lambay, S. Pakkir Mohideen, B. S. Abdur Rahman
2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS) (2022), pp. 1330-1336
Closed Access | Times Cited: 3
Clustering Protein Binding Pockets and Identifying Potential Drug Interactions: A Novel Ligand-Based Featurization Method
Garrett A. Stevenson, Daniel Kirshner, Brian J. Bennion, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 21, pp. 6655-6666
Open Access | Times Cited: 1
Role of Artificial Intelligence in Pharmacovigilance
Jyoti Upadhyay, Mukesh Nandave, Anoop Kumar
(2024), pp. 347-363
Closed Access
Personalized Web Services Composition Using Artificial Intelligence
Imen Chebbi, Sarra Abidi, Leila Jemni Ben Ayed
Research Square (Research Square) (2024)
Open Access
A computational framework to in silico screen for drug-induced hepatocellular toxicity
Yueshan Zhao, Ji Youn Park, Da Yang, et al.
Toxicological Sciences (2024) Vol. 201, Iss. 1, pp. 14-25
Closed Access
Poster: Ensemble Methods for ADR Prediction
Danika Gupta, Bharath Ramsundar
(2024), pp. 210-211
Closed Access
A data-driven approach to predict the in vitro dissolution time of sustained-release tablets using raw material databases and machine learning algorithms
M. Bharathi, Raju Kamaraj, S. Murugaanandam, et al.
Pharmacia (2024) Vol. 71, pp. 1-7
Open Access
Comparative Study of Random Forest, Gradient Boosted Trees, Feedforward Neural Networks and Convolutional Neural Networks Using Fingerprints and Molecular Descriptors for Adverse Drug Reaction Prediction
Alexandra Cucoş, László Barna Iantovics
Procedia Computer Science (2024) Vol. 246, pp. 1895-1904
Open Access
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