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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:

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

Showing 24 citing articles:

MUMA: A Multi-Omics Meta-Learning Algorithm for Data Interpretation and Classification
Haihui Huang, Jun Shu, Yong Liang
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 4, pp. 2428-2436
Closed Access | Times Cited: 20
Fusion of multi-source relationships and topology to infer lncRNA-protein interactions
Xinyu Zhang, Mingzhe Liu, Zhen Li, et al.
Molecular Therapy — Nucleic Acids (2024) Vol. 35, Iss. 2, pp. 102187-102187
Open Access | Times Cited: 13
Rise of Deep Learning Clinical Applications and Challenges in Omics Data: A Systematic Review
Mazin Abed Mohammed, Karrar Hameed Abdulkareem, Ahmed M. Dinar, et al.
Diagnostics (2023) Vol. 13, Iss. 4, pp. 664-664
Open Access | Times Cited: 21
GEnDDn: An lncRNA–Disease Association Identification Framework Based on Dual-Net Neural Architecture and Deep Neural Network
Lihong Peng, Mengnan Ren, Liangliang Huang, et al.
Interdisciplinary Sciences Computational Life Sciences (2024) Vol. 16, Iss. 2, pp. 418-438
Closed Access | Times Cited: 7
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: 6
CapsNet-LDA: predicting lncRNA-disease associations using attention mechanism and capsule network based on multi-view data
Zequn Zhang, Junlin Xu, Yanan Wu, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Closed Access | Times Cited: 27
Deep Learning Approaches for lncRNA-Mediated Mechanisms: A Comprehensive Review of Recent Developments
Yoojoong Kim, Minhyeok Lee
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 12, pp. 10299-10299
Open Access | Times Cited: 12
Hyperbolic matrix factorization improves prediction of drug-target associations
Aleksandar Poleksić
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 11
Artificial intelligence and machine learning heuristics for discovery of ncRNAs
Alfredo Benso, Gianfranco Politano
Progress in molecular biology and translational science (2025)
Closed Access
A Brief Survey of Deep Learning-based Models for CircRNA-Protein Binding Sites Prediction
Zhen Shen, Lin Yuan, Wenzheng Bao, et al.
Neurocomputing (2025), pp. 129637-129637
Open 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
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
Prediction of LncRNA-Protein Interactions Based on Kernel Combinations and Graph Convolutional Networks
Cong Shen, Dongdong Mao, Jijun Tang, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 4, pp. 1937-1948
Closed Access | Times Cited: 7
KDGene: knowledge graph completion for disease gene prediction using interactional tensor decomposition
Xinyan Wang, Kuo Yang, Ting Jia, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 2
Prediction of disease-related miRNAs by voting with multiple classifiers
Changlong Gu, M Kellis
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 6
Weighted hypergraph learning and adaptive inductive matrix completion for SARS-CoV-2 drug repositioning
Yingjun Ma, Junjiang Zhong, Nenghui Zhu
Methods (2023) Vol. 219, pp. 102-110
Open Access | Times Cited: 4
DEAN: Improving the Efficiency of Disease Network Using Selective Ensemble Network Aggregation Model
Sony K. Ahuja, Deepti D. Shrimankar, Aditi R. Durge
Lecture notes in networks and systems (2024), pp. 105-120
Closed Access | Times Cited: 1
Logistic tensor decomposition with sparse subspace learning for prediction of multiple disease types of human–virus protein–protein interactions
Yingjun Ma, Junjiang Zhong
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Closed Access | Times Cited: 5
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
Finding Lung-Cancer-Related lncRNAs Based on Laplacian Regularized Least Squares With Unbalanced Bi-Random Walk
Zhifeng Guo, Hui Yan, Fanlong Kong, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 3
Kernel Bayesian logistic tensor decomposition with automatic rank determination for predicting multiple types of miRNA-disease associations
Yingjun Ma, Yuanyuan Ma
PLoS Computational Biology (2024) Vol. 20, Iss. 7, pp. e1012287-e1012287
Open Access
LncRNA-Top: Controlled deep learning approaches for lncRNA gene regulatory relationship annotations across different platforms
Weidun Xie, Xingjian Chen, Zetian Zheng, et al.
iScience (2023) Vol. 26, Iss. 11, pp. 108197-108197
Open Access
MDMD: a computational model for predicting drug-related microbes based on the aggregated metapaths from a heterogeneous network
Jiajie Xing, Xianguo Zhang, Juan Wang
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
An ensemble approach to predict local lymph-node metastasis in cancer based on SMOTE strategy
Tingrui Guo, Shihua Zhang, Yuan Zhu
2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ) (2022) Vol. 33, pp. 1579-1583
Closed Access
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