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.

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Showing 1-25 of 37 citing articles:

Likelihood-based feature representation learning combined with neighborhood information for predicting circRNA–miRNA associations
Lu-Xiang Guo, Lei Wang, Zhu‐Hong You, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 16

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

Biolinguistic graph fusion model for circRNA–miRNA association prediction
Lu-Xiang Guo, Lei Wang, Zhu‐Hong You, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 9

AMDECDA: Attention Mechanism Combined With Data Ensemble Strategy for Predicting CircRNA-Disease Association
Lei Wang, Leon Wong, Zhu‐Hong You, et al.
IEEE Transactions on Big Data (2023) Vol. 10, Iss. 4, pp. 320-329
Closed Access | Times Cited: 20

BCMCMI: A Fusion Model for Predicting circRNA-miRNA Interactions Combining Semantic and Meta-path
Meng-Meng Wei, Chang-Qing Yu, Liping Li, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 16, pp. 5384-5394
Closed Access | Times Cited: 18

Overcoming Low Adherence to Chronic Medications by Improving their Effectiveness Using a Personalized Second-generation Digital System
Areej Bayatra, Rima Nasserat, Yaron Ilan
Current Pharmaceutical Biotechnology (2024) Vol. 25, Iss. 16, pp. 2078-2088
Closed Access | Times Cited: 8

MHGTMDA: Molecular heterogeneous graph transformer based on biological entity graph for miRNA-disease associations prediction
Haitao Zou, Boya Ji, Meng Zhang, et al.
Molecular Therapy — Nucleic Acids (2024) Vol. 35, Iss. 1, pp. 102139-102139
Open Access | Times Cited: 6

A PiRNA-disease association model incorporating sequence multi-source information with graph convolutional networks
Lei Wang, Zhengwei Li, Jing Hu, et al.
Applied Soft Computing (2024) Vol. 157, pp. 111523-111523
Closed Access | Times Cited: 6

Machine learning based biomarker discovery for chronic kidney disease–mineral and bone disorder (CKD-MBD)
Yuting Li, Yukuan Lou, Man Liu, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 5

MUSCLE: multi-view and multi-scale attentional feature fusion for microRNA–disease associations prediction
Boya Ji, Haitao Zou, Li‐Wen Xu, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 5

CollaPPI: A Collaborative Learning Framework for Predicting Protein-Protein Interactions
Wenjian Ma, Xiangpeng Bi, Huasen Jiang, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 5, pp. 3167-3177
Closed Access | Times Cited: 4

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

Feature fusion with attributed deepwalk for protein–protein interaction prediction
Mei‐Yuan Cao, Suhaila Zainudin, Kauthar Mohd Daud
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

An omics-driven computational model for angiogenic protein prediction: Advancing therapeutic strategies with Ens-deep-AGP
Naif Almusallam, Farman Ali, Atef Masmoudi, et al.
International Journal of Biological Macromolecules (2024), pp. 136475-136475
Closed Access | Times Cited: 3

Targeting non-coding RNAs: Perspectives and challenges of in-silico approaches
Roberta Rocca, Katia Grillone, Emanuele Liborio Citriniti, et al.
European Journal of Medicinal Chemistry (2023) Vol. 261, pp. 115850-115850
Open Access | Times Cited: 7

AntiViralDL: Computational Antiviral Drug Repurposing Using Graph Neural Network and Self-Supervised Learning
Pan Zhang, Xiaowen Hu, Guangdi Li, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 1, pp. 548-556
Closed Access | Times Cited: 7

Machine Learning Strategies in MicroRNA Research: Bridging Genome to Phenome
Sonet Daniel Thomas, Krithika Vijayakumar, Levin John, et al.
OMICS A Journal of Integrative Biology (2024) Vol. 28, Iss. 5, pp. 213-233
Closed Access | Times Cited: 2

Graph Reasoning Method Based on Affinity Identification and Representation Decoupling for Predicting lncRNA-Disease Associations
Shuai Wang, Cui Hui, Tiangang Zhang, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 21, pp. 6947-6958
Closed Access | Times Cited: 5

KFDAE: CircRNA-Disease Associations Prediction Based on Kernel Fusion and Deep Auto-Encoder
Wen-Yue Kang, Ying-Lian Gao, Ying Wang, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 5, pp. 3178-3185
Closed Access | Times Cited: 1

DGAMDA: Predicting miRNA‐disease association based on dynamic graph attention network
Changxin Jia, Fuyu Wang, Baoxiang Xing, et al.
International Journal for Numerical Methods in Biomedical Engineering (2024) Vol. 40, Iss. 5
Closed Access | Times Cited: 1

ViroISDC: a method for calling integration sites of hepatitis B virus based on feature encoding
Lei Qiao, Chang Li, Lin Wei, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 1

DRADTiP: Drug repurposing for aging disease through drug-target interaction prediction
M. Saranya, Arockia Xavier Annie Rayan, Geetha Thekkumpurath Varrieth
Computers in Biology and Medicine (2024) Vol. 182, pp. 109145-109145
Closed Access | Times Cited: 1

Hither-CMI: Prediction of circRNA-miRNA Interactions Based on a Hybrid Multimodal Network and Higher-Order Neighborhood Information via a Graph Convolutional Network
Jiang Chen, Lei Wang, Chang-Qing Yu, et al.
Journal of Chemical Information and Modeling (2024) Vol. 65, Iss. 1, pp. 446-459
Closed Access | Times Cited: 1

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