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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:

Prediction of drug adverse events using deep learning in pharmaceutical discovery
Chun Yen Lee, Yi‐Ping Phoebe Chen
Briefings in Bioinformatics (2020) Vol. 22, Iss. 2, pp. 1884-1901
Closed Access | Times Cited: 65

Showing 1-25 of 65 citing articles:

Artificial intelligence and machine learning‐aided drug discovery in central nervous system diseases: State‐of‐the‐arts and future directions
Sezen Vatansever, Avner Schlessinger, Daniel Wacker, et al.
Medicinal Research Reviews (2020) Vol. 41, Iss. 3, pp. 1427-1473
Open Access | Times Cited: 258
From machine learning to deep learning: Advances of the recent data-driven paradigm shift in medicine and healthcare
Chiranjib Chakraborty, Manojit Bhattacharya, Soumen Pal, et al.
Current Research in Biotechnology (2023) Vol. 7, pp. 100164-100164
Open Access | Times Cited: 55
Drug targets for COVID-19 therapeutics: Ongoing global efforts
Ambrish Saxena
Journal of Biosciences (2020) Vol. 45, Iss. 1
Open Access | Times Cited: 80
A Comprehensive Review of Computational Methods For Drug-Drug Interaction Detection
Yang Qiu, Yang Zhang, Yifan Deng, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021) Vol. 19, Iss. 4, pp. 1968-1985
Closed Access | Times Cited: 67
Digital patient twins for personalized therapeutics and pharmaceutical manufacturing
Rene-Pascal Fischer, Annika Volpert, Pablo Oliveira Antonino, et al.
Frontiers in Digital Health (2024) Vol. 5
Open Access | Times Cited: 12
Artificial intelligence in antidiabetic drug discovery: The advances in QSAR and the prediction of α-glucosidase inhibitors
Adeshina I. Odugbemi, Clement N. Nyirenda, Alan Christoffels, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 2964-2977
Open Access | Times Cited: 7
Antibiotic combinations prediction based on machine learning to multicentre clinical data and drug interaction correlation
Jiaan Qin, Yuhe R. Yang, Chao Ai, et al.
International Journal of Antimicrobial Agents (2024) Vol. 63, Iss. 5, pp. 107122-107122
Closed Access | Times Cited: 6
Digital Technology Applications in the Management of Adverse Drug Reactions: Bibliometric Analysis
Olena Litvinova, Andy Wai Kan Yeung, Fabian Peter Hammerle, et al.
Pharmaceuticals (2024) Vol. 17, Iss. 3, pp. 395-395
Open Access | Times Cited: 5
MTTLADE: A multi-task transfer learning-based method for adverse drug events extraction
Ed-drissiya El-allaly, Mourad Sarrouti, Noureddine En-Nahnahi, et al.
Information Processing & Management (2021) Vol. 58, Iss. 3, pp. 102473-102473
Closed Access | Times Cited: 39
idse-HE: Hybrid embedding graph neural network for drug side effects prediction
Liyi Yu, Meiling Cheng, Wang‐Ren Qiu, et al.
Journal of Biomedical Informatics (2022) Vol. 131, pp. 104098-104098
Open Access | Times Cited: 26
Multimodal representation learning for predicting molecule–disease relations
Jun Wen, Xiang Zhang, Everett Rush, et al.
Bioinformatics (2023) Vol. 39, Iss. 2
Open Access | Times Cited: 15
Deep learning-based discovery of compounds for blood pressure lowering effects
Rongzhen Li, Teh-Lu Wu, Xiaotian Xu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Drug-Drug interactions prediction calculations between cardiovascular drugs and antidepressants for discovering the potential co-medication risks
Tie Hua Zhou, Tian Yu Jin, Xi Wang, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0316021-e0316021
Open Access
Large Model Era: Deep Learning in Osteoporosis Drug Discovery
Junlin Xu, Xiaobo Wen, Li Sun, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
Graph Convolutional Network for Drug Response Prediction Using Gene Expression Data
Seonghun Kim, Seockhun Bae, Yinhua Piao, et al.
Mathematics (2021) Vol. 9, Iss. 7, pp. 772-772
Open Access | Times Cited: 31
Drug repositioning: A bibliometric analysis
Guojun Sun, Dashun Dong, Zuojun Dong, et al.
Frontiers in Pharmacology (2022) Vol. 13
Open Access | Times Cited: 21
Multi-perspective neural network for dual drug repurposing in Alzheimer’s disease
Lu Zhao, Zhuojian Li, Guanxing Chen, et al.
Knowledge-Based Systems (2023) Vol. 283, pp. 111195-111195
Closed Access | Times Cited: 11
Applications of machine and deep learning to thyroid cytology and histopathology: a review
Greg Slabaugh, Luis Beltrán, Hasan Rizvi, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 9
An attentive joint model with transformer-based weighted graph convolutional network for extracting adverse drug event relation
Ed-drissiya El-allaly, Mourad Sarrouti, Noureddine En-Nahnahi, et al.
Journal of Biomedical Informatics (2021) Vol. 125, pp. 103968-103968
Open Access | Times Cited: 20
Advancing drug safety science by integrating molecular knowledge with post‐marketing adverse event reports
Theodoros Soldatos, Sarah Kim, Stephan Schmidt, et al.
CPT Pharmacometrics & Systems Pharmacology (2022) Vol. 11, Iss. 5, pp. 540-555
Open Access | Times Cited: 15
Modulating the synergy of Pd@Pt core–shell nanodendrites for boosting methanol electrooxidation kinetics
Hyeon Jeong Kim, Cheol Joo Moon, Seokhee Lee, et al.
Journal of Material Science and Technology (2023) Vol. 165, pp. 153-160
Closed Access | Times Cited: 8
Advancing Adverse Drug Reaction Prediction with Deep Chemical Language Model for Drug Safety Evaluation
Jinzhu Lin, Yujie He, Chengxiang Ru, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 8, pp. 4516-4516
Open Access | Times Cited: 2
Leveraging pharmacovigilance data to predict population-scale toxicity profiles of checkpoint inhibitor immunotherapy
Dongxue Yan, Siqi Bao, Zicheng Zhang, et al.
Nature Computational Science (2024)
Closed Access | Times Cited: 2
Predicting adverse drug reactions of two‐drug combinations using structural and transcriptomic drug representations to train an artificial neural network
Susmitha Shankar, Ishita Bhandari, David T. Okou, et al.
Chemical Biology & Drug Design (2020) Vol. 97, Iss. 3, pp. 665-673
Open Access | Times Cited: 18
Recent Progress in Traditional Chinese Medicines and Their Mechanism in the Treatment of Allergic Rhinitis
Dehong Mao, Zhong-mei He, Linglong Li, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-18
Open Access | Times Cited: 11
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