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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:

Hierarchical graph learning for protein–protein interaction
Ziqi Gao, Chenran Jiang, Jiawen Zhang, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 90

Showing 1-25 of 90 citing articles:

Machine Learning-Guided Protein Engineering
Petr Kouba, Pavel Kohout, Faraneh Haddadi, et al.
ACS Catalysis (2023) Vol. 13, Iss. 21, pp. 13863-13895
Open Access | Times Cited: 81
Current and future directions in network biology
Marinka Žitnik, Michelle M. Li, A. V. Wells, et al.
Bioinformatics Advances (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 19
Leveraging machine learning models for peptide–protein interaction prediction
Yin Song, Xuenan Mi, Diwakar Shukla
RSC Chemical Biology (2024) Vol. 5, Iss. 5, pp. 401-417
Open Access | Times Cited: 15
Contrastive Deep Nonnegative Matrix Factorization For Community Detection
Yuecheng Li, Jialong Chen, Chuan Chen, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 6725-6729
Open Access | Times Cited: 8
Deep Learning-Assisted Spectrum–Structure Correlation: State-of-the-Art and Perspectives
Xinyu Lu, Hao-Ping Wu, Hao Ma, et al.
Analytical Chemistry (2024) Vol. 96, Iss. 20, pp. 7959-7975
Closed Access | Times Cited: 8
A structurally informed human protein–protein interactome reveals proteome-wide perturbations caused by disease mutations
Dapeng Xiong, Yunguang Qiu, Junfei Zhao, et al.
Nature Biotechnology (2024)
Closed Access | Times Cited: 5
A traditional Chinese medicine prescription recommendation model based on contrastive pre-training and hierarchical structure network
H. M. Hu, Yaqian Li, Zeyu Zheng, et al.
Expert Systems with Applications (2025), pp. 126318-126318
Closed Access
Structure-Based Approaches for Protein–Protein Interaction Prediction Using Machine Learning and Deep Learning
Despoina P. Kiouri, Georgios Batsis, Christos T. Chasapis
Biomolecules (2025) Vol. 15, Iss. 1, pp. 141-141
Open Access
SpatialPPIv2: Enhancing protein–protein interaction prediction through graph neural networks with protein language models
Wenxing Hu, Masahito Ohue
Computational and Structural Biotechnology Journal (2025)
Open Access
Research and Application of Graph Structure Learning in Product Link Prediction on E-Commerce Platforms
袁亮 阚
E-Commerce Letters (2025) Vol. 14, Iss. 01, pp. 3149-3154
Closed Access
Bi-level graph learning unveils prognosis-relevant tumor microenvironment patterns in breast multiplexed digital pathology
Zhenzhen Wang, Cesar A. Santa‐Maria, Aleksander S. Popel, et al.
Patterns (2025), pp. 101178-101178
Open Access
Deep Attributed Network Representation Learning via Enhanced Local Attribute Neighbor
L. Han, Hui Zhao
Neurocomputing (2025), pp. 129763-129763
Closed Access
HSSPPI: hierarchical and spatial-sequential modeling for PPIs prediction
Yuguang Li, Zhen Tian, Xiaofei Nan, et al.
Briefings in Bioinformatics (2025) Vol. 26, Iss. 2
Open Access
MFC-PPI: protein–protein interaction prediction with multimodal feature fusion and contrastive learning
Zhixin Zhang, Qunhao Zhang, Jun Xiao, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 4
Closed Access
A comparative evaluation of social network analysis tools: performance and community engagement perspectives
Ridwan Amure, Nitin Agarwal
Social Network Analysis and Mining (2025) Vol. 15, Iss. 1
Open Access
Targeting protein-protein interactions with low molecular weight and short peptide modulators: insights on disease pathways and starting points for drug discovery
Daniela Trisciuzzi, Bruno O. Villoutreix, Lydia Siragusa, et al.
Expert Opinion on Drug Discovery (2023) Vol. 18, Iss. 7, pp. 737-752
Closed Access | Times Cited: 12
Integrative deep learning framework predicts lipidomics-based investigation of preservatives on meat nutritional biomarkers and metabolic pathways
Wei Jia, Aiai Guo, Wenwen Bian, et al.
Critical Reviews in Food Science and Nutrition (2023), pp. 1-15
Closed Access | Times Cited: 12
Evaluating generalizability of artificial intelligence models for molecular datasets
Yasha Ektefaie, Andrew Shen, Daria Bykova, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 4
GNNGL-PPI: multi-category prediction of protein-protein interactions using graph neural networks based on global graphs and local subgraphs
Xin Zeng, Fanfang Meng, Meng‐Liang Wen, et al.
BMC Genomics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 4
A variational expectation-maximization framework for balanced multi-scale learning of protein and drug interactions
Jiahua Rao, Jiancong Xie, Qianmu Yuan, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 4
Multi-level bioinformatics resources support drug target discovery of protein–protein interactions
Jiaxin Liu, Xiao Zhang, Yuanqin Huang, et al.
Drug Discovery Today (2024) Vol. 29, Iss. 5, pp. 103979-103979
Closed Access | Times Cited: 3
HAGO-Net: Hierarchical Geometric Massage Passing for Molecular Representation Learning
Hongbin Pei, Taile Chen, A Chen, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 13, pp. 14572-14580
Open Access | Times Cited: 2
ProLLM: Protein Chain-of-Thoughts Enhanced LLM for Protein-Protein Interaction Prediction
Mingyu Jin, Haochen Xue, Zhenting Wang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Connecting the dots: Computational network analysis for disease insight and drug repurposing
Nicoleta Siminea, Eugen Czeizler, Victor Popescu, et al.
Current Opinion in Structural Biology (2024) Vol. 88, pp. 102881-102881
Open Access | Times Cited: 2
A knowledge distillation-guided equivariant graph neural network for improving protein interaction site prediction performance
Shouzhi Chen, Zhenchao Tang, Linlin You, et al.
Knowledge-Based Systems (2024) Vol. 300, pp. 112209-112209
Closed Access | Times Cited: 2
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