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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:

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: 21

Showing 21 citing articles:

Transformer models in biomedicine
Sumit Madan, Manuel Lentzen, Johannes Brandt, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 7
Relation extraction using large language models: a case study on acupuncture point locations
Yiming Li, Xueqing Peng, Jianfu Li, et al.
Journal of the American Medical Informatics Association (2024) Vol. 31, Iss. 11, pp. 2622-2631
Open Access | Times Cited: 6
Named Entity Recognition in Electronic Health Records: A Methodological Review
María C. Durango, Ever Augusto Torres Silva, Andrés Orozco‐Duque
Healthcare Informatics Research (2023) Vol. 29, Iss. 4, pp. 286-300
Open Access | Times Cited: 13
Discontinuous named entities in clinical Text: A systematic literature review
Areej Alhassan, Viktor Schlegel, Monira Aloud, et al.
Journal of Biomedical Informatics (2025), pp. 104783-104783
Open Access
CoTEL-D3X: A chain-of-thought enhanced large language model for drug–drug interaction triplet extraction
Haotian Hu, Alex J. Yang, Sanhong Deng, et al.
Expert Systems with Applications (2025), pp. 126953-126953
Closed Access
Fine-tuning Clinical Language Models to Identify Adverse Drug Events in Clinical Text (Preprint)
Elizaveta Kopacheva, Alisa Lincke, Aron Henriksson, et al.
(2025)
Closed Access
Knowledge Graph Construction: Extraction, Learning, and Evaluation
S. -K. Choi, Yuchul Jung
Applied Sciences (2025) Vol. 15, Iss. 7, pp. 3727-3727
Open Access
Machine learning models to detect and predict patient safety events using electronic health records: A systematic review
Ghasem Deimazar, Abbas Sheikhtaheri
International Journal of Medical Informatics (2023) Vol. 180, pp. 105246-105246
Closed Access | Times Cited: 11
Extracting adverse drug events from clinical Notes: A systematic review of approaches used
Salisu Modi, Khairul Azhar Kasmiran, Nurfadhlina Mohd Sharef, et al.
Journal of Biomedical Informatics (2024) Vol. 151, pp. 104603-104603
Closed Access | Times Cited: 4
Historical profile will tell? A deep learning-based multi-level embedding framework for adverse drug event detection and extraction
Long Xia
Decision Support Systems (2022) Vol. 160, pp. 113832-113832
Closed Access | Times Cited: 17
Enhancing the coverage of SemRep using a relation classification approach
Shufan Ming, Rui Zhang, Halil Kilicoglu
Journal of Biomedical Informatics (2024) Vol. 155, pp. 104658-104658
Open Access | Times Cited: 3
Improving drug safety with adverse event detection using natural language processing
Taxiarchis Botsis, Kory Kreimeyer
Expert Opinion on Drug Safety (2023) Vol. 22, Iss. 8, pp. 659-668
Closed Access | Times Cited: 8
Automatic Extraction of Comprehensive Drug Safety Information from Adverse Drug Event Narratives in the Korea Adverse Event Reporting System Using Natural Language Processing Techniques
Siun Kim, Taegwan Kang, Tae Kyu Chung, et al.
Drug Safety (2023) Vol. 46, Iss. 8, pp. 781-795
Open Access | Times Cited: 5
The interactive fusion of characters and lexical information for Chinese named entity recognition
Ye Wang, Zheng Wang, Hong Yu, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 10
Open Access | Times Cited: 1
Joint Extraction of Entities and Relations via Entity and Relation Heterogeneous Graph Attention Networks
Bo Jiang, Jia Cao
Applied Sciences (2023) Vol. 13, Iss. 2, pp. 842-842
Open Access | Times Cited: 3
Extracting biomedical relation from cross-sentence text using syntactic dependency graph attention network
Xueyang Zhou, Qiming Fu, Jianping Chen, et al.
Journal of Biomedical Informatics (2023) Vol. 144, pp. 104445-104445
Open Access | Times Cited: 2
How Can Transformer Models Shape Future Healthcare: A Qualitative Study
Kerstin Denecke, Richard May, Octavio Rivera-Romero
Studies in health technology and informatics (2023)
Open Access | Times Cited: 2
Research on Chinese Medical Entity Relation Extraction Based on Syntactic Dependency Structure Information
Qinghui Zhang, Meng Wu, Pengtao Lv, et al.
Applied Sciences (2022) Vol. 12, Iss. 19, pp. 9781-9781
Open Access | Times Cited: 3
Integrating deep learning architectures for enhanced biomedical relation extraction: a pipeline approach
M. Janina Sarol, Gibong Hong, Evan Guerra, et al.
Database (2024) Vol. 2024
Open Access
Drug-Drug Interaction Extraction Using Transformer-based Ensemble Model
Sarina Sefidgarhoseini, Leila Safari, Zanyar Mohammady
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
GSTCNet: Gated spatio-temporal correlation network for stroke mortality prediction
Shuo Zhang, Yonghao Ren, Jing Wang, et al.
Mathematical Biosciences & Engineering (2022) Vol. 19, Iss. 10, pp. 9966-9982
Open Access
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