Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

SPRDA: a link prediction approach based on the structural perturbation to infer disease-associated Piwi-interacting RNAs
Kai Zheng, Xinlu Zhang, Lei Wang, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Open Access | Times Cited: 35

Showing 1-25 of 35 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
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
RT: a Retrieving and Chain-of-Thought framework for few-shot medical named entity recognition
Mingchen Li, Huixue Zhou, Han Yang, et al.
Journal of the American Medical Informatics Association (2024) Vol. 31, Iss. 9, pp. 1929-1938
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
Identification of piRNA disease associations using deep learning
Syed Danish Ali, Hilal Tayara, Kil To Chong
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 1208-1217
Open Access | Times Cited: 24
DeepCMI: a graph-based model for accurate prediction of circRNA–miRNA interactions with multiple information
Yue-Chao Li, Zhu‐Hong You, Chang-Qing Yu, et al.
Briefings in Functional Genomics (2023) Vol. 23, Iss. 3, pp. 276-285
Closed Access | Times Cited: 13
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
Databases and computational methods for the identification of piRNA-related molecules: A survey
Chang Guo, Xiaoli Wang, Han Ren
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 813-833
Open Access | Times Cited: 4
PGCNMDA: Learning node representations along paths with graph convolutional network for predicting miRNA-disease associations
S. Chu, Guihua Duan, Cheng Yan
Methods (2024) Vol. 229, pp. 71-81
Closed Access | Times Cited: 3
GSLCDA: An Unsupervised Deep Graph Structure Learning Method for Predicting CircRNA-Disease Association
Lei Wang, Zhengwei Li, Zhu‐Hong You, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 3, pp. 1742-1751
Closed Access | Times Cited: 8
ETGPDA: identification of piRNA-disease associations based on embedding transformation graph convolutional network
Xianghan Meng, Junliang Shang, Daohui Ge, et al.
BMC Genomics (2023) Vol. 24, Iss. 1
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
Investigation on the antipyretic mechanism of Chaiqin Qingning capsule for the treatment of fever based on network pharmacology, molecular docking, and in vitro experimental validation
Lianzhan Huang, Zhengwei Chen, Hongjin Gao, et al.
Chemical Biology & Drug Design (2024) Vol. 103, Iss. 2
Open Access | Times Cited: 2
Identification of gene biomarkers for brain diseases via multi-network topological semantics extraction and graph convolutional network
Ping Zhang, Weihan Zhang, Weicheng Sun, et al.
BMC Genomics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 2
PUTransGCN: identification of piRNA–disease associations based on attention encoding graph convolutional network and positive unlabelled learning
Qiuhao Chen, Liyuan Zhang, Yaojia Liu, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 2
IGCNSDA: unraveling disease-associated snoRNAs with an interpretable graph convolutional network
Xiaowen Hu, Pan Zhang, Dayun Liu, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 2
MRDPDA: A multi‐Laplacian regularized deepFM model for predicting piRNA‐disease associations
Yajun Liu, Fan Zhang, Yulian Ding, et al.
Journal of Cellular and Molecular Medicine (2024) Vol. 28, Iss. 17
Open Access | Times Cited: 2
PDA-PRGCN: identification of Piwi-interacting RNA-disease associations through subgraph projection and residual scaling-based feature augmentation
Ping Zhang, Weicheng Sun, Dengguo Wei, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 6
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
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
Page 1 - Next Page

Scroll to top