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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:

IDSSIM: an lncRNA functional similarity calculation model based on an improved disease semantic similarity method
Wenwen Fan, Junliang Shang, Feng Li, et al.
BMC Bioinformatics (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 22

Showing 22 citing articles:

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: 22
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
High-order graph convolutional networks for circular Ribonucleic Acid and disease association prediction incorporating multiple biological relationships
Hao Liu, Chen Chen, Xiaoyi Lv, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110303-110303
Closed Access
Developing explainable models for lncRNA-Targeted drug discovery using graph autoencoders
Huiying Liu, Xiangzheng Fu, Haiting Chen, et al.
Future Generation Computer Systems (2024) Vol. 160, pp. 29-39
Closed Access | Times Cited: 3
Biomedical data, computational methods and tools for evaluating disease–disease associations
Ju Xiang, Jiashuai Zhang, Yichao Zhao, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 2
Closed Access | Times Cited: 16
Bioinformatics Analysis of Long Non-coding RNA and Related Diseases: An Overview
Yuxin Gong, Wen Zhu, Meili Sun, et al.
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 20
Sparse regularized joint projection model for identifying associations of non-coding RNAs and human diseases
Ping Li, Prayag Tiwari, Junhai Xu, et al.
Knowledge-Based Systems (2022) Vol. 258, pp. 110044-110044
Open Access | Times Cited: 12
GCNPCA: miRNA-Disease Associations Prediction Algorithm Based on Graph Convolutional Neural Networks
Jiwen Liu, Zhufang Kuang, Lei Deng
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022) Vol. 20, Iss. 2, pp. 1041-1052
Closed Access | Times Cited: 9
Artificial intelligence predictive system of individual survival rate for lung adenocarcinoma
Tingshan He, Jing Li, Peng Wang, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 2352-2359
Open Access | Times Cited: 6
TLSEA: a tool for lncRNA set enrichment analysis based on multi-source heterogeneous information fusion
Jianwei Li, Zhiguang Li, Yinfei Wang, et al.
Frontiers in Genetics (2023) Vol. 14
Open Access | Times Cited: 3
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
Predicting Drug-Disease Associations Through Similarity Network Fusion and Multi-View Feature Projection Representation
Shiming Wang, Jie Li, Dong Wang, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 10, pp. 5165-5176
Closed Access | Times Cited: 2
PDDGCN: A Parasitic Disease–Drug Association Predictor Based on Multi-view Fusion Graph Convolutional Network
Xiaosong Wang, Guojun Chen, Hang Hu, et al.
Interdisciplinary Sciences Computational Life Sciences (2024) Vol. 16, Iss. 1, pp. 231-242
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
NCP-BiRW: A Hybrid Approach for Predicting Long Noncoding RNA-Disease Associations by Network Consistency Projection and Bi-Random Walk
Yanling Liu, Hong Yang, Chu Zheng, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 3
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
DHNLDA: A Novel Deep Hierarchical Network Based Method for Predicting lncRNA-Disease Associations
Fansen Xie, Ziqi Yang, Jinmiao Song, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021) Vol. 19, Iss. 6, pp. 3395-3403
Open Access | Times Cited: 4
M2PP: a novel computational model for predicting drug-targeted pathogenic proteins
Shiming Wang, Jie Li, Yadong Wang
BMC Bioinformatics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 2
Identifying possible lncRNA-disease associations based on deep learning and positive-unlabeled learning
Lihong Peng, Liangliang Huang, Yuankang Lu, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2022), pp. 168-173
Closed Access | Times Cited: 2
Driver Attribute Filling for Genes in Interaction Network via Modularity Subspace-Based Concept Learning from Small Samples
Fei Xie, Jianing Xi, Qun Duan
Complexity (2020) Vol. 2020, pp. 1-12
Open Access | Times Cited: 2
Tensor product graph diffusion based on nonlinear fusion of multi-source information to predict circRNA-disease associations
Hao Liu, Chen Chen, Ying Su, et al.
Applied Soft Computing (2023) Vol. 152, pp. 111215-111215
Closed Access
Predict lncRNA-disease associations based on graphlet interaction
Nian Li, Na-Na Guan, Jia Qu
Research Square (Research Square) (2022)
Open Access
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