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:

Predicting lncRNA-protein interactions with bipartite graph embedding and deep graph neural networks
Yuzhou Ma, Han Zhang, Chen Jin, et al.
Frontiers in Genetics (2023) Vol. 14
Open Access | Times Cited: 14

Showing 14 citing articles:

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

Attention Holistic Processing Multi-Channel Graph Transformer with Graph Residual Connections for Predicting lncRNA–Protein Interactions
Qi Wu, Yinbo Liu, S Chen, et al.
Knowledge-Based Systems (2025) Vol. 310, pp. 112957-112957
Closed Access

Inter-view contrastive learning and miRNA fusion for lncRNA-protein interaction prediction in heterogeneous graphs
Yijun Mao, Jiale Wu, Jian Weng, et al.
Briefings in Bioinformatics (2025) Vol. 26, Iss. 2
Open Access

A comprehensive survey on deep learning-based identification and predicting the interaction mechanism of long non-coding RNAs
Biyu Diao, Jin Luo, Yu Guo
Briefings in Functional Genomics (2024) Vol. 23, Iss. 4, pp. 314-324
Closed Access | Times Cited: 1

NPI-DCGNN: An Accurate Tool for Identifying ncRNA-Protein Interactions Using a Dual-Channel Graph Neural Network
Xin Zhang, Liangwei Zhao, Ziyi Chai, et al.
Journal of Computational Biology (2024) Vol. 31, Iss. 8, pp. 742-756
Closed Access | Times Cited: 1

GSASVM-RBPs: Predicting miRNA-binding protein sites with aggregated multigraph neural networks and an SVM
T. J. Zhang, Zihao Qi, Shikai Qiao, et al.
Network Modeling Analysis in Health Informatics and Bioinformatics (2024) Vol. 13, Iss. 1
Closed Access | Times Cited: 1

Bipartite Graph Analytics: Current Techniques and Future Trends
Hanchen Wang, Kai Wang, Wenjie Zhang, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 01-07
Closed Access

Predicting LncRNA-Protein Interactions Through Global and Local Features based on Cross Attention Mechanism
Shaoqi Shao, Jinling Liu, Jing Peng
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 18, pp. 1-8
Closed Access

LncRNA–protein interaction prediction with reweighted feature selection
Guohao Lv, Yingchun Xia, Qi Zhao, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 1

BioPrediction: Democratizing Machine Learning in the Study of Molecular Interactions
Bruno Rafael Florentino, Natan Henrique Sanches, Robson Parmezan Bonidia, et al.
(2023), pp. 525-539
Open Access | Times Cited: 1

Graph embedding and geometric deep learning relevance to network biology and structural chemistry
Paola Lecca, Michela Lecca
Frontiers in Artificial Intelligence (2023) Vol. 6
Open Access | Times Cited: 1

GATLGEMF: A graph attention model with line graph embedding multi-complex features for ncRNA-protein interactions prediction
Jing Yan, Wenyan Qu, Xiaoyi Li, et al.
Computational Biology and Chemistry (2023) Vol. 108, pp. 108000-108000
Closed Access | Times Cited: 1

LPI-IBWA: Predicting lncRNA-protein interactions based on an improved Bi-Random walk algorithm
Minzhu Xie, Ruijie Xie, Hao Wang
Methods (2023) Vol. 220, pp. 98-105
Closed Access

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