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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:

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

Showing 16 citing articles:

miRdisNET: Discovering microRNA biomarkers that are associated with diseases utilizing biological knowledge-based machine learning
Amhar Jabeer, Mustafa Temiz, Burcu Bakır-Güngör, et al.
Frontiers in Genetics (2023) Vol. 13
Open Access | Times Cited: 20
scGGAN: single-cell RNA-seq imputation by graph-based generative adversarial network
Zimo Huang, Jun Wang, Xudong Lü, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 2
Closed Access | Times Cited: 15
GGAECDA: Predicting circRNA-disease associations using graph autoencoder based on graph representation learning
Guanghui Li, Yawei Lin, Jiawei Luo, et al.
Computational Biology and Chemistry (2022) Vol. 99, pp. 107722-107722
Closed Access | Times Cited: 13
DGHNE: network enhancement-based method in identifying disease-causing genes through a heterogeneous biomedical network
Binsheng He, Kun Wang, Ju Xiang, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Closed Access | Times Cited: 13
MDDOmics: multi-omics resource of major depressive disorder
Yichao Zhao, Ju Xiang, Xingyuan Shi, et al.
Database (2024) Vol. 2024
Open Access | Times Cited: 1
Biomedical Interaction Prediction with Adaptive Line Graph Contrastive Learning
Shilin Sun, Tian Hua, Runze Wang, et al.
Mathematics (2023) Vol. 11, Iss. 3, pp. 732-732
Open Access | Times Cited: 3
Disease-gene prediction based on preserving structure network embedding
Jinlong Ma, Q.M. Tian, Ju Xiang
Frontiers in Aging Neuroscience (2023) Vol. 15
Open Access | Times Cited: 3
PGAGP: Predicting pathogenic genes based on adaptive network embedding algorithm
Yan Zhang, Ju Xiang, Liang Tang, et al.
Frontiers in Genetics (2023) Vol. 13
Open Access | Times Cited: 2
SSLpheno: a self-supervised learning approach for gene–phenotype association prediction using protein–protein interactions and gene ontology data
Xuehua Bi, Weiyang Liang, Qichang Zhao, et al.
Bioinformatics (2023) Vol. 39, Iss. 11
Open Access | Times Cited: 2
MSMK: Multiscale Module Kernel for Identifying Disease-Related Genes
Ju Xiang, Sheng-Kai Chen, Xiangmao Meng, et al.
Lecture notes in computer science (2024), pp. 13-24
Closed Access
Disease Similarity and Disease Clustering
Drew Brady, Hisham Al-Mubaid
Communications in computer and information science (2024), pp. 64-77
Closed Access
DiSMVC: a multi-view graph collaborative learning framework for measuring disease similarity
Hang Wei, Lin Gao, Shuai Wu, et al.
Bioinformatics (2024) Vol. 40, Iss. 5
Open Access
Detecting Semantic Similarity of Diseases based Machine Learning
Emma Qumsiyeh, Zaidoun Salah, Rashid Jayousi, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023)
Closed Access | Times Cited: 1
Drug repositioning for SARS-CoV-2 by Gaussian kernel similarity bilinear matrix factorization
Yibai Wang, Ju Xiang, Cuicui Liu, et al.
Frontiers in Microbiology (2022) Vol. 13
Open Access | Times Cited: 1
A many‐objective optimization‐based local tensor factorization model for skin cancer detection
Haochen Zhao, Jie Wen, Jinqian Yang, et al.
Concurrency and Computation Practice and Experience (2023) Vol. 36, Iss. 6
Closed Access
Evaluating disease-disease associations based on network representation learning
Chenguang Ma, Zijun Luo, Shuai Wu, et al.
2022 International Conference on Cyber-Physical Social Intelligence (ICCSI) (2023), pp. 485-490
Closed Access
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