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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:

LR-GNN: a graph neural network based on link representation for predicting molecular associations
Chuanze Kang, Han Zhang, Zhuo Liu, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions
Bharti Khemani, Shruti Patil, Ketan Kotecha, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 91
Comprehensive evaluation of deep and graph learning on drug–drug interactions prediction
Xuan Lin, Lihua Dai, Yafang Zhou, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Open Access | Times Cited: 47
A Systematic Review of Graph Neural Network in Healthcare-Based Applications: Recent Advances, Trends, and Future Directions
Showmick Guha Paul, Arpa Saha, Md. Zahid Hasan, et al.
IEEE Access (2024) Vol. 12, pp. 15145-15170
Open Access | Times Cited: 17
Predicting miRNA-Disease Association Based on Neural Inductive Matrix Completion with Graph Autoencoders and Self-Attention Mechanism
Chen Jin, Zhuangwei Shi, Ken Lin, et al.
Biomolecules (2022) Vol. 12, Iss. 1, pp. 64-64
Open Access | Times Cited: 39
Predicting Protein-Protein Interactions Using Sequence and Network Information via Variational Graph Autoencoder
Xin Luo, Liwei Wang, Pengwei Hu, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2023) Vol. 20, Iss. 5, pp. 3182-3194
Closed Access | Times Cited: 27
Adaptive Multi-Kernel Graph Neural Network for Drug-Drug Interaction Prediction.
Linqian Zhao, Junliang Shang, Xianghan Meng, et al.
PubMed (2025)
Closed Access | Times Cited: 1
LDAformer: predicting lncRNA-disease associations based on topological feature extraction and Transformer encoder
Zhou Yi, Xinyi Wang, Yao Lin, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Closed Access | Times Cited: 31
Identifying Candidate Gene–Disease Associations via Graph Neural Networks
Pietro Cinaglia, Mario Cannataro
Entropy (2023) Vol. 25, Iss. 6, pp. 909-909
Open Access | Times Cited: 17
GCNFORMER: graph convolutional network and transformer for predicting lncRNA-disease associations
Dengju Yao, Bailin Li, Xiaojuan Zhan, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 6
CapsNet-LDA: predicting lncRNA-disease associations using attention mechanism and capsule network based on multi-view data
Zequn Zhang, Junlin Xu, Yanan Wu, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Closed Access | Times Cited: 27
Link Prediction for Flow-Driven Spatial Networks
Bastian Wittmann, Johannes C. Paetzold, Chinmay Prabhakar, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 2460-2469
Open Access | Times Cited: 5
Subgraph-Aware Graph Kernel Neural Network for Link Prediction in Biological Networks
Menglu Li, Zhiwei Wang, L. Liu, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 7, pp. 4373-4381
Closed Access | Times Cited: 5
Graph Neural Pre-training for Recommendation with Side Information
Siwei Liu, Zaiqiao Meng, Craig Macdonald, et al.
ACM transactions on office information systems (2022) Vol. 41, Iss. 3, pp. 1-28
Open Access | Times Cited: 19
Deep Learning Approaches for lncRNA-Mediated Mechanisms: A Comprehensive Review of Recent Developments
Yoojoong Kim, Minhyeok Lee
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 12, pp. 10299-10299
Open Access | Times Cited: 12
PHGL-DDI: A pre-training based hierarchical graph learning framework for drug-drug interaction prediction
Yongna Yuan, Jiaqi Yue, Ruisheng Zhang, et al.
Expert Systems with Applications (2025), pp. 126408-126408
Closed Access
Multitask Learning Model for Predicting Non-coding RNA-Disease Associations: Incorporating Local and Global Context
Xiaohan Li, Guohua Wang, Dan Li, et al.
Methods (2025)
Closed Access
Connectivity mapping: Integrating omics data, drug targets, and disease drivers for drug discovery and repurposing
Nicoleta Siminea, Praveen Anand, Andrei Păun, et al.
Elsevier eBooks (2025)
Closed Access
Utilizing Graph Neural Networks for Effective Link Prediction in Microservice Architectures
Ghazal Khodabandeh, Alireza Ezaz, Majid Babaei, et al.
(2025), pp. 19-30
Closed Access
MSEDDI: Multi-Scale Embedding for Predicting Drug—Drug Interaction Events
Liyi Yu, Zhaochun Xu, Meiling Cheng, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 5, pp. 4500-4500
Open Access | Times Cited: 10
Applying negative sample denoising and multi-view feature for lncRNA-disease association prediction
Dengju Yao, Bo Zhang, Xiangkui Li, et al.
Frontiers in Genetics (2024) Vol. 14
Open Access | Times Cited: 3
Advancing mRNA subcellular localization prediction with graph neural network and RNA structure
Fuyi Li, Yue Bi, Xudong Guo, et al.
Bioinformatics (2024) Vol. 40, Iss. 8
Open Access | Times Cited: 3
Artificial intelligence and machine learning applications for cultured meat
Michael E. Todhunter, Sheikh Jubair, Ruchika Verma, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 3
Exploration of consumer preference based on deep learning neural network model in the immersive marketing environment
Qiang Zheng, Qing Shan Ding
PLoS ONE (2022) Vol. 17, Iss. 5, pp. e0268007-e0268007
Open Access | Times Cited: 11
Identification of D- and L-phenylalanine enantiomeric mixtures by employing deep neural network models
Ebru Nigdelioglu, Elif Toprak, Melike Güney, et al.
Journal of Molecular Structure (2024) Vol. 1304, pp. 137628-137628
Closed Access | Times Cited: 2
Adaptive Fusion Graph Convolutional Networks Based Interpretable Fault Diagnosis Method for HVAC Systems Enhanced by Unlabeled Data
Qiao Deng, Zhiwen Chen, Wanting Zhu, et al.
Energy and Buildings (2024) Vol. 324, pp. 114901-114901
Closed Access | Times Cited: 2
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