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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:

LGCDA: Predicting CircRNA-Disease Association Based on Fusion of Local and Global Features
Wei Lan, Chunling Li, Qingfeng Chen, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2024) Vol. 21, Iss. 5, pp. 1413-1422
Closed Access | Times Cited: 12

Showing 12 citing articles:

Predicting circRNA–Disease Associations through Multisource Domain-Aware Embeddings and Feature Projection Networks
Shuai Liang, Lei Wang, Zhu-Hong You, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access | Times Cited: 3
Supervised contrastive knowledge graph learning for ncRNA–disease association prediction
Yan Wang, Xuping Xie, Ye Wang, et al.
Expert Systems with Applications (2025) Vol. 269, pp. 126257-126257
Closed Access | Times Cited: 1
Contrastive Clustering Learning for Multi-Behavior Recommendation
Wei Lan, Guoxian Zhou, Qingfeng Chen, et al.
ACM transactions on office information systems (2024)
Closed Access | Times Cited: 4
metaCDA: A Novel Framework for CircRNA-Driven Drug Discovery Utilizing Adaptive Aggregation and Meta-Knowledge Learning
Peng Li, Huaping Li, Sisi Yuan, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
lncRNA-disease association prediction based on optimizing measures of multi-graph regularized matrix factorization
Bin Yao, Yunzhong Song
Computer Methods in Biomechanics & Biomedical Engineering (2025), pp. 1-16
Closed Access
MFF-nDA: A Computational Model for ncRNA–Disease Association Prediction Based on Multimodule Fusion
Zhihao Guan, Xiu Jin, Xiaodan Zhang
Journal of Chemical Information and Modeling (2025)
Closed Access
Hybrid multimodal fusion for graph learning in disease prediction
Ruomei Wang, Wei Guo, Yongjie Wang, et al.
Methods (2024) Vol. 229, pp. 41-48
Closed Access | Times Cited: 3
GCLNSTDA: Predicting tsRNA-Disease Association Based on Contrastive Learning and Negative Sampling
Wei Lan, Wenyi Chen, Chunling Li, et al.
(2024), pp. 1-7
Closed Access | Times Cited: 1
Modeling Single-Cell ATAC-Seq Data Based on Contrastive Learning
Wei Lan, Weihao Zhou, Qingfeng Chen, et al.
Lecture notes in computer science (2024), pp. 473-482
Closed Access
TMODINET: A trustworthy multi-omics dynamic learning integration network for cancer diagnostic
Ling Du, Peipei Gao, Zhuang Liu, et al.
Computational Biology and Chemistry (2024) Vol. 113, pp. 108202-108202
Closed Access
CLHGNNMDA: Hypergraph Neural Network Model Enhanced by Contrastive Learning for miRNA–Disease Association Prediction
Rong Zhu, Yong Wang, Ling-Yun Dai
Journal of Computational Biology (2024)
Closed Access
Identification of circRNA-miRNA-mRNA networks to explore underlying mechanism in lung cancer
Yajie Wang, Yu Fu
Health Information Science and Systems (2024) Vol. 13, Iss. 1
Closed Access
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