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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:

Biomedical knowledge graph learning for drug repurposing by extending guilt-by-association to multiple layers
Dongmin Bang, Sangsoo Lim, Sangseon Lee, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

Artificial intelligence for drug repurposing against infectious diseases
Anuradha Singh
Artificial Intelligence Chemistry (2024) Vol. 2, Iss. 2, pp. 100071-100071
Open Access | Times Cited: 9
The Convergence of Open Data, Linked Data, Ontologies, and Large Language Models: Enabling Next-Generation Knowledge Systems
Andrea Cigliano, Francesca Fallucchi
Communications in computer and information science (2025), pp. 197-213
Closed Access | Times Cited: 1
AMDGT: Attention aware multi-modal fusion using a dual graph transformer for drug–disease associations prediction
Junkai Liu, Shixuan Guan, Quan Zou, et al.
Knowledge-Based Systems (2023) Vol. 284, pp. 111329-111329
Open Access | Times Cited: 21
Graph Artificial Intelligence in Medicine
Ruth Johnson, Michelle M. Li, Ayush Noori, et al.
Annual Review of Biomedical Data Science (2024) Vol. 7, Iss. 1, pp. 345-368
Open Access | Times Cited: 5
Large Language Model-Based Natural Language Encoding Could Be All You Need for Drug Biomedical Association Prediction
Hanyu Zhang, Yuan Zhou, Zhichao Zhang, et al.
Analytical Chemistry (2024)
Closed Access | Times Cited: 5
Integrative Multi-Omics Analysis for Etiology Classification and Biomarker Discovery in Stroke: Advancing towards Precision Medicine
Alberto Labarga, Judith Martínez-González, Miguel Barajas
Biology (2024) Vol. 13, Iss. 5, pp. 338-338
Open Access | Times Cited: 4
Accelerating drug discovery, development, and clinical trials by artificial intelligence
Yilun Zhang, Mohamed Mastouri, Yang Zhang
Med (2024) Vol. 5, Iss. 9, pp. 1050-1070
Closed Access | Times Cited: 4
ExPDrug: Integration of an interpretable neural network and knowledge graph for pathway-based drug repurposing
J.S. Kim, H. J. Jang, Youngjun Park, et al.
Computers in Biology and Medicine (2025) Vol. 187, pp. 109729-109729
Closed Access
Knowledge Graph Applications and Multi-Relation Learning for Drug Repurposing: A Scoping Review
Alok Kumar, Shital Bhandary, Smita Hegde, et al.
Computational Biology and Chemistry (2025) Vol. 115, pp. 108364-108364
Closed Access
Drug repurposing for Alzheimer’s disease and other neurodegenerative disorders
Jeffrey L. Cummings, Yadi Zhou, Alexandra Stone, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Application status of traditional computational methods and machine learning in cancer drug repositioning
Cao Yixin, Yongzhi Li, Wei Lingxi, et al.
Precision medication. (2025), pp. 100014-100014
Open Access
Knowledge graph and its application in the study of neurological and mental disorders
Qizheng Wang, Fan Yang, Quan Li, et al.
Frontiers in Psychiatry (2025) Vol. 16
Open Access
Adaptive-weighted federated graph convolutional networks with multi-sensor data fusion for drug response prediction
Yu Hui, Qingyong Wang, Xiaobo Zhou
Information Fusion (2025), pp. 103147-103147
Closed Access
HNF-DDA: subgraph contrastive-driven transformer-style heterogeneous network embedding for drug–disease association prediction
Yifan Shang, Zixu Wang, Yangyang Chen, et al.
BMC Biology (2025) Vol. 23, Iss. 1
Open Access
Alzheimer's disease knowledge graph enhances knowledge discovery and disease prediction
Yue Yang, Kaixian Yu, Shan Gao, et al.
Computers in Biology and Medicine (2025) Vol. 192, pp. 110285-110285
Open Access
Knowledge Graph Convolutional Network with Heuristic Search for Drug Repositioning
Xiang Du, Xinliang Sun, Min Li
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 12, pp. 4928-4937
Closed Access | Times Cited: 3
Knowledge graphs in psychiatric research: Potential applications and future perspectives
Sebastian Freidel, Emanuel Schwarz
Acta Psychiatrica Scandinavica (2024) Vol. 151, Iss. 3, pp. 180-191
Open Access | Times Cited: 3
TaReT: Temporal knowledge graph reasoning based on topology-aware dynamic relation graph and temporal fusion
Jiangtao Ma, Kunlin Li, Fan Zhang, et al.
Information Processing & Management (2024) Vol. 61, Iss. 6, pp. 103848-103848
Closed Access | Times Cited: 3
Knowledge Graphs for drug repurposing: a review of databases and methods
Pablo Perdomo-Quinteiro, Alberto Belmonte-Hernández
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access | Times Cited: 3
A few-shot link prediction framework to drug repurposing using multi-level attention network
Chenglin Yang, Xianlai Chen, Jincai Huang, et al.
Computers in Biology and Medicine (2024) Vol. 170, pp. 107936-107936
Closed Access | Times Cited: 2
Reimagining old drugs with new tricks: Mechanisms, strategies and notable success stories in drug repurposing for neurological diseases
Neetu Rani, Aastha Kaushik, Shefali Kardam, et al.
Progress in molecular biology and translational science (2024), pp. 23-70
Closed Access | Times Cited: 2
Disease coverage of human genome-wide association studies and pharmaceutical research and development
María Gordillo‐Marañón, Amand F. Schmidt, Alasdair Warwick, et al.
Communications Medicine (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 2
A spatial hierarchical network learning framework for drug repositioning allowing interpretation from macro to micro scale
Zhong-Hao Ren, Xiangxiang Zeng, Yizhen Lao, et al.
Communications Biology (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 2
Elucidating the role of artificial intelligence in drug development from the perspective of drug-target interactions
Boyang Wang, Tingyu Zhang, Qingyuan Liu, et al.
Journal of Pharmaceutical Analysis (2024) Vol. 15, Iss. 3, pp. 101144-101144
Open Access | Times Cited: 2
Deep multiple instance learning on heterogeneous graph for drug–disease association prediction
Yaowen Gu, Si Zheng, Bowen Zhang, et al.
Computers in Biology and Medicine (2024) Vol. 184, pp. 109403-109403
Closed Access | Times Cited: 2
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