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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:

Efficient link prediction in the protein–protein interaction network using topological information in a generative adversarial network machine learning model
Olivér M. Balogh, Bettina Benczik, András Horváth, et al.
BMC Bioinformatics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 23

Showing 23 citing articles:

Machine Learning Methods for Small Data Challenges in Molecular Science
Bozheng Dou, Zailiang Zhu, Ekaterina Merkurjev, et al.
Chemical Reviews (2023) Vol. 123, Iss. 13, pp. 8736-8780
Open Access | Times Cited: 184
The deep learning applications in IoT-based bio- and medical informatics: a systematic literature review
Zahra Mohtasham‐Amiri, Arash Heidari, Nima Jafari Navimipour, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 11, pp. 5757-5797
Open Access | Times Cited: 61
Assessment of community efforts to advance network-based prediction of protein–protein interactions
Xu‐Wen Wang, Lorenzo Madeddu, Kerstin Spirohn, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 26
Mitigating off‐target effects of small RNAs: conventional approaches, network theory and artificial intelligence
Zoltán Bereczki, Bettina Benczik, Olivér M. Balogh, et al.
British Journal of Pharmacology (2024)
Open Access | Times Cited: 12
Generative adversarial meta-learning knowledge graph completion for large-scale complex knowledge graphs
Weiming Tong, Xu Chu, Zhongwei Li, et al.
Journal of Intelligent Information Systems (2024)
Closed Access | Times Cited: 5
Protein Function Analysis through Machine Learning
Chris Avery, John A. Patterson, Tyler Grear, et al.
Biomolecules (2022) Vol. 12, Iss. 9, pp. 1246-1246
Open Access | Times Cited: 20
An embedding-based method for inferring novel interlayers in multilayer networks
Pietro Cinaglia
Journal of Computational Science (2025), pp. 102592-102592
Open Access
KDCS-PPI: Knowledge distillation with counterfactual sampling for Protein-Protein Interaction Prediction
Bin Deng, Huifang Ma, Ruijia Zhang, et al.
Expert Systems with Applications (2025), pp. 127896-127896
Closed Access
Overview of methods for characterization and visualization of a protein–protein interaction network in a multi-omics integration context
Vivian Robin, Antoine Bodein, Marie‐Pier Scott‐Boyer, et al.
Frontiers in Molecular Biosciences (2022) Vol. 9
Open Access | Times Cited: 9
Identification of protein–protein interaction associated functions based on gene ontology and KEGG pathway
Lili Yang, Yuhang Zhang, FeiMing Huang, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 9
MNESEDA: A prior-guided subgraph representation learning framework for predicting disease-related enhancers
Jinsheng Xu, Weicheng Sun, Kai Li, et al.
Knowledge-Based Systems (2024) Vol. 294, pp. 111734-111734
Closed Access | Times Cited: 1
Heterogeneous network approaches to protein pathway prediction
Gowri Nayar, Russ B. Altman
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 2727-2739
Open Access | Times Cited: 1
Link prediction on bipartite networks using matrix factorization with negative sample selection
Siqi Peng, Akihiro Yamamoto, Kimihito Ito
PLoS ONE (2023) Vol. 18, Iss. 8, pp. e0289568-e0289568
Open Access | Times Cited: 2
What the protein!? Computational methods for predicting microbial protein functions
Susanna R. Grigson, Robert P. Edwards
(2023)
Open Access | Times Cited: 2
Injecting domain knowledge into graph neural networks for protein-protein interactions
L. Balbi, Rita T. Sousa, Pedro Giesteira Cotovio, et al.
Research Square (Research Square) (2024)
Open Access
Machine Learning Methods in Protein–Protein Docking
Ilona Michalik, Kamil Kuder
Methods in molecular biology (2024), pp. 107-126
Closed Access
Advancing Link Prediction in directed social networks: A Machine Learning Approach
B El Mashade Mohamed, Amounas Fatima, El Airaj Soufian
(2024), pp. 1-5
Closed Access
Synthetic graphs for link prediction benchmarking
Alexey Vlaskin, Eduardo G. Altmann
Journal of Physics Complexity (2024)
Open Access
Implementing link prediction in protein networks via feature fusion models based on graph neural networks
Chi Zhang, Qian Gao, Ming Li, et al.
Computational Biology and Chemistry (2023) Vol. 108, pp. 107980-107980
Closed Access | Times Cited: 1
A Heterogeneous Social Network Link Prediction Method Based on Subgraph and Hierarchical Attention
Xiaoyan Zhang, Minchao Deng, Kai Xu
(2024), pp. 253-258
Closed Access
Establishment of fingerprint and mechanism of anti‐myocardial ischemic effect of Syringa pinnatifolia
Ye Zhang, Jingkun Lu, Yuheng Ma, et al.
Biomedical Chromatography (2022) Vol. 36, Iss. 11
Closed Access | Times Cited: 1
Topological feature generation for link prediction in biological networks
Mustafa Temiz, Burcu Bakır-Güngör, Pınar Güner Şahan, et al.
PeerJ (2023) Vol. 11, pp. e15313-e15313
Open Access
A Local Community and Resource Allocation Perspective on Link Prediction: Method and Visualization
Boyang Gao, Jinlun Zhang, Yunbo Rao, et al.
(2023), pp. 612-621
Closed Access
Semipres: an Integrated Deep Learning Method of Sequence and 3d Object Detection Models for Host-microbe Interactions by Identification of Protein-protein Contact Residues
Hansaim Lim, Özlem Keskin, Ruth Nussinov, et al.
Research Square (Research Square) (2022)
Open Access
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