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:

LDGRNMF: LncRNA-disease associations prediction based on graph regularized non-negative matrix factorization
Mei-Neng Wang, Zhu‐Hong You, Lei Wang, et al.
Neurocomputing (2020) Vol. 424, pp. 236-245
Closed Access | Times Cited: 62

Showing 26-50 of 62 citing articles:

SCCPMD: Probability matrix decomposition method subject to corrected similarity constraints for inferring long non-coding RNA–disease associations
Lieqing Lin, Ruibin Chen, Yinting Zhu, et al.
Frontiers in Microbiology (2023) Vol. 13
Open Access | Times Cited: 6
Research challenges and future directions towards medical data processing
Anusha Ampavathi, Vijaya Saradhi Thommandru
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2022) Vol. 10, Iss. 6, pp. 633-652
Closed Access | Times Cited: 9
Biomarker Identification via a Factorization Machine-Based Neural Network With Binary Pairwise Encoding
Yulian Ding, Xiujuan Lei, Bo Liao, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2023) Vol. 20, Iss. 3, pp. 2136-2146
Closed Access | Times Cited: 5
Deep Link-Prediction Based on the Local Structure of Bipartite Networks
Hehe Lv, Bofeng Zhang, Shengxiang Hu, et al.
Entropy (2022) Vol. 24, Iss. 5, pp. 610-610
Open Access | Times Cited: 8
Predicting associations between CircRNA and diseases through structure-aware graph transformer and path-integral convolution
Jinkai Wu, Pengli Lu, Wenqi Zhang
Analytical Biochemistry (2024) Vol. 692, pp. 115554-115554
Closed Access | Times Cited: 1
GBDTLRL2D Predicts LncRNA–Disease Associations Using MetaGraph2Vec and K-Means Based on Heterogeneous Network
Tao Duan, Zhufang Kuang, Jiaqi Wang, et al.
Frontiers in Cell and Developmental Biology (2021) Vol. 9
Open Access | Times Cited: 8
Inferring Disease-Associated Piwi-Interacting RNAs via Graph Attention Networks
Kai Zheng, Zhu‐Hong You, Lei Wang, et al.
Lecture notes in computer science (2020), pp. 239-250
Closed Access | Times Cited: 8
Combining K Nearest Neighbor With Nonnegative Matrix Factorization for Predicting Circrna-Disease Associations
Mei-Neng Wang, Xue-Jun Xie, Zhu‐Hong You, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022) Vol. 20, Iss. 5, pp. 2610-2618
Closed Access | Times Cited: 5
SVMMDR: Prediction of miRNAs-drug resistance using support vector machines based on heterogeneous network
Tao Duan, Zhufang Kuang, Lei Deng
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 5
A weighted non-negative matrix factorization approach to predict potential associations between drug and disease
Mei-Neng Wang, Xue-Jun Xie, Zhu‐Hong You, et al.
Journal of Translational Medicine (2022) Vol. 20, Iss. 1
Open Access | Times Cited: 5
WGMFDDA: A Novel Weighted-Based Graph Regularized Matrix Factorization for Predicting Drug-Disease Associations
Mei-Neng Wang, Zhu‐Hong You, Liping Li, et al.
Lecture notes in computer science (2020), pp. 542-551
Closed Access | Times Cited: 7
Predicting Human Disease-Associated piRNAs Based on Multi-source Information and Random Forest
Kai Zheng, Zhu‐Hong You, Lei Wang, et al.
Lecture notes in computer science (2020), pp. 227-238
Closed Access | Times Cited: 6
Screening potential lncRNA biomarkers for breast cancer and colorectal cancer combining random walk and logistic matrix factorization
Shijun Li, Miaomiao Chang, Ling Tong, et al.
Frontiers in Genetics (2023) Vol. 13
Open Access | Times Cited: 2
Combining non-negative matrix factorization with graph Laplacian regularization for predicting drug-miRNA associations based on multi-source information fusion
Mei-Neng Wang, Yu Li, Li-Lan Lei, et al.
Frontiers in Pharmacology (2023) Vol. 14
Open Access | Times Cited: 2
Predicting potential lncRNA biomarkers for lung cancer and neuroblastoma based on an ensemble of a deep neural network and LightGBM
Zhenguo Su, Lu Huihui, Yan Wu, et al.
Frontiers in Genetics (2023) Vol. 14
Open Access | Times Cited: 2
BRPCA: Bounded Robust Principal Component Analysis to Incorporate Similarity Network for N7-methyguanosine(m7G) Site-disease Association Prediction
Jiani Ma, Lin Zhang, Shaojie Li, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022) Vol. 19, Iss. 6, pp. 3295-3306
Closed Access | Times Cited: 4
A Highly Efficient Biomolecular Network Representation Model for Predicting Drug-Disease Associations
Han-Jing Jiang, Zhu‐Hong You, Lun Hu, et al.
Lecture notes in computer science (2020), pp. 271-279
Closed Access | Times Cited: 5
A Novel Computational Method for Predicting LncRNA-Disease Associations from Heterogeneous Information Network with SDNE Embedding Model
Ping Zhang, Bo-Wei Zhao, Leon Wong, et al.
Lecture notes in computer science (2020), pp. 505-513
Closed Access | Times Cited: 5
Predicting Drug-Target Interactions by Node2vec Node Embedding in Molecular Associations Network
Zhan‐Heng Chen, Zhu‐Hong You, Zhen-Hao Guo, et al.
Lecture notes in computer science (2020), pp. 348-358
Closed Access | Times Cited: 5
NLPEI: A Novel Self-Interacting Protein Prediction Model Based on Natural Language Processing and Evolutionary Information
Lina Jia, Xin Yan, Zhu‐Hong You, et al.
Evolutionary Bioinformatics (2020) Vol. 16
Open Access | Times Cited: 4
SPCMLMI: A structural perturbation-based matrix completion method to predict lncRNA–miRNA interactions
Mei-Neng Wang, Li-Lan Lei, Wei He, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 3
Smart Contract Vulnerability Detection Based on Multimodal Feature Fusion
Jie Yu, Xiao Yu, Jiale Li, et al.
Lecture notes in computer science (2024), pp. 344-355
Closed Access
GMF-MGCN-LDA: Prediction of IncRNA-disease association based on novel generalized matrix factorization and graph neural networks
Qi Gao, Guosheng Han, Jialin Li, et al.
(2024), pp. 1-10
Closed Access
Inferring Drug-miRNA Associations by Integrating Drug SMILES and MiRNA Sequence Information
Zhen-Hao Guo, Zhu‐Hong You, Liping Li, et al.
Lecture notes in computer science (2020), pp. 279-289
Closed Access | Times Cited: 3
Prediction of lncRNA-Disease Associations from Heterogeneous Information Network Based on DeepWalk Embedding Model
Xiaoyu Song, Tong Liu, Zeyang Qiu, et al.
Lecture notes in computer science (2020), pp. 291-300
Closed Access | Times Cited: 3

Scroll to top