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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:

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 1-25 of 62 citing articles:

A long short‐term memory‐based model for greenhouse climate prediction
Yuwen Liu, Dejuan Li, Shaohua Wan, et al.
International Journal of Intelligent Systems (2021) Vol. 37, Iss. 1, pp. 135-151
Open Access | Times Cited: 154
RNMFLP: Predicting circRNA–disease associations based on robust nonnegative matrix factorization and label propagation
Peng Li, Yang Cheng, Huang Li, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 5
Closed Access | Times Cited: 56
GKLOMLI: a link prediction model for inferring miRNA–lncRNA interactions by using Gaussian kernel-based method on network profile and linear optimization algorithm
Leon Wong, Lei Wang, Zhu‐Hong You, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 37
LDA-VGHB: identifying potential lncRNA–disease associations with singular value decomposition, variational graph auto-encoder and heterogeneous Newton boosting machine
Lihong Peng, Liangliang Huang, Qiongli Su, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 25
Data resources and computational methods for lncRNA-disease association prediction
Nan Sheng, Lan Huang, Yuting Lu, et al.
Computers in Biology and Medicine (2023) Vol. 153, pp. 106527-106527
Open Access | Times Cited: 24
SGANRDA: semi-supervised generative adversarial networks for predicting circRNA–disease associations
Lei Wang, Xin Yan, Zhu‐Hong You, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 5
Closed Access | Times Cited: 42
iGRLCDA: identifying circRNA–disease association based on graph representation learning
Han-Yuan Zhang, Lei Wang, Zhu‐Hong You, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 3
Closed Access | Times Cited: 36
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
The rise of nonnegative matrix factorization: Algorithms and applications
Yi-Ting Guo, Qin‐Qin Li, Chun‐Sheng Liang
Information Systems (2024) Vol. 123, pp. 102379-102379
Closed Access | Times Cited: 7
Multi-channel graph attention autoencoders for disease-related lncRNAs prediction
Nan Sheng, Lan Huang, Yan Wang, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 2
Closed Access | Times Cited: 25
DeepMNE: Deep Multi-Network Embedding for lncRNA-Disease Association Prediction
Yingjun Ma
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 7, pp. 3539-3549
Closed Access | Times Cited: 24
Finding potential lncRNA–disease associations using a boosting-based ensemble learning model
Liqian Zhou, Xinhuai Peng, Lijun Zeng, et al.
Frontiers in Genetics (2024) Vol. 15
Open Access | Times Cited: 5
Generalized matrix factorization based on weighted hypergraph learning for microbe-drug association prediction
Yingjun Ma, Qingquan Liu
Computers in Biology and Medicine (2022) Vol. 145, pp. 105503-105503
Closed Access | Times Cited: 20
Multi-view contrastive heterogeneous graph attention network for lncRNA–disease association prediction
Xiaosa Zhao, Jun Wu, Xiaowei Zhao, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Open Access | Times Cited: 20
Learning Association Characteristics by Dynamic Hypergraph and Gated Convolution Enhanced Pairwise Attributes for Prediction of Disease-Related lncRNAs
Ping Xuan, Siyuan Lu, Hui Cui, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 8, pp. 3569-3578
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
Kernel Bayesian nonlinear matrix factorization based on variational inference for human–virus protein–protein interaction prediction
Yingjun Ma, Yongbiao Zhao, Yuanyuan Ma
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Hypergraph-based logistic matrix factorization for metabolite–disease interaction prediction
Yingjun Ma, Yuanyuan Ma
Bioinformatics (2021) Vol. 38, Iss. 2, pp. 435-443
Closed Access | Times Cited: 23
HOPEXGB: A Consensual Model for Predicting miRNA/lncRNA-Disease Associations Using a Heterogeneous Disease-miRNA-lncRNA Information Network
Jian He, Menglong Li, Jiangguo Qiu, et al.
Journal of Chemical Information and Modeling (2023) Vol. 64, Iss. 7, pp. 2863-2877
Closed Access | Times Cited: 9
Machine learning approaches for predicting biomolecule–disease associations
Yulian Ding, Xiujuan Lei, Bo Liao, et al.
Briefings in Functional Genomics (2021) Vol. 20, Iss. 4, pp. 273-287
Closed Access | Times Cited: 18
Survey of deep learning techniques for disease prediction based on omics data
Xindi Yu, Shusen Zhou, Hailin Zou, et al.
Human Gene (2022) Vol. 35, pp. 201140-201140
Closed Access | Times Cited: 13
Anomalous citations detection in academic networks
Jiaying Liu, Xiaomei Bai, Mengying Wang, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 4
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
HPTRMF: Collaborative Matrix Factorization-Based Prediction Method for LncRNA-Disease Associations Using High-Order Perturbation and Flexible Trifactor Regularization
Guobo Xie, Dayin Li, Zhiyi Lin, et al.
Journal of Chemical Information and Modeling (2024)
Closed Access | Times Cited: 2
Line graph attention networks for predicting disease-associated Piwi-interacting RNAs
Kai Zheng, Xinlu Zhang, Lei Wang, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Closed Access | Times Cited: 11
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