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:

Updated review of advances in microRNAs and complex diseases: taxonomy, trends and challenges of computational models
Huang Li, Li Zhang, Xing Chen
Briefings in Bioinformatics (2022) Vol. 23, Iss. 5
Closed Access | Times Cited: 89

Showing 1-25 of 89 citing articles:

Predicting metabolite–disease associations based on auto-encoder and non-negative matrix factorization
Hongyan Gao, Jianqiang Sun, Yukun Wang, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 5
Closed Access | Times Cited: 100
DCAMCP: A deep learning model based on capsule network and attention mechanism for molecular carcinogenicity prediction
Zhe Chen, Li Zhang, Jianqiang Sun, et al.
Journal of Cellular and Molecular Medicine (2023) Vol. 27, Iss. 20, pp. 3117-3126
Open Access | Times Cited: 79
SMAP: Similarity-based matrix factorization framework for inferring miRNA-disease association
Jihwan Ha
Knowledge-Based Systems (2023) Vol. 263, pp. 110295-110295
Closed Access | Times Cited: 34
A Survey of Deep Learning for Detecting miRNA- Disease Associations: Databases, Computational Methods, Challenges, and Future Directions
Nan Sheng, Xuping Xie, Yan Wang, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2024) Vol. 21, Iss. 3, pp. 328-347
Closed Access | Times Cited: 9
RFEM: A framework for essential microRNA identification in mice based on rotation forest and multiple feature fusion
Shu-Hao Wang, Yan Zhao, Chun-Chun Wang, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108177-108177
Closed Access | Times Cited: 9
LncRNA Expression Profile-Based Matrix Factorization for Predicting lncRNA- Disease Association
Jihwan Ha
IEEE Access (2024) Vol. 12, pp. 70297-70304
Open Access | Times Cited: 8
MSGCL: inferring miRNA–disease associations based on multi-view self-supervised graph structure contrastive learning
Xinru Ruan, Changzhi Jiang, Peixuan Lin, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 2
Closed Access | Times Cited: 19
A feature extraction method based on noise reduction for circRNA-miRNA interaction prediction combining multi-structure features in the association networks
Xin-Fei Wang, Chang-Qing Yu, Zhu‐Hong You, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 3
Closed Access | Times Cited: 19
Predicting lncRNA–disease associations based on combining selective similarity matrix fusion and bidirectional linear neighborhood label propagation
Guobo Xie, Rui-Bin Chen, Zhiyi Lin, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 1
Closed Access | Times Cited: 18
Drug–drug interaction prediction: databases, web servers and computational models
Yan Zhao, Jun Yin, Li Zhang, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 17
Drug Design and Disease Diagnosis: The Potential of Deep Learning Models in Biology
Sarojini Sreeraman, K Mayuri, Raja Babu Singh Kushwah, et al.
Current Bioinformatics (2023) Vol. 18, Iss. 3, pp. 208-220
Closed Access | Times Cited: 16
Identifying Candidate Gene–Disease Associations via Graph Neural Networks
Pietro Cinaglia, Mario Cannataro
Entropy (2023) Vol. 25, Iss. 6, pp. 909-909
Open Access | Times Cited: 16
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
GCNFORMER: graph convolutional network and transformer for predicting lncRNA-disease associations
Dengju Yao, Bailin Li, Xiaojuan Zhan, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 6
CircSI-SSL: circRNA-binding site identification based on self-supervised learning
Chao Cao, Chunyu Wang, Shuhong Yang, et al.
Bioinformatics (2024) Vol. 40, Iss. 1
Open Access | Times Cited: 6
Development of m6A/m5C/m1A regulated lncRNA signature for prognostic prediction, personalized immune intervention and drug selection in LUAD
Chao Ma, Zhuoyu Gu, Yang Yang
Journal of Cellular and Molecular Medicine (2024) Vol. 28, Iss. 8
Open Access | Times Cited: 5
CXCL9, IL2RB, and SPP1, potential diagnostic biomarkers in the co-morbidity pattern of atherosclerosis and non-alcoholic steatohepatitis
Xize Wu, Changbin Yuan, Jiaxiang Pan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Functional Analysis and Experimental Validation of the Prognostic and Immune Effects of the Oncogenic Protein CDC45 in Breast Cancer
Jianing Zhang, Linwei Li, Manqing Cao, et al.
Breast Cancer Targets and Therapy (2025) Vol. Volume 17, pp. 11-25
Open Access
Expression of some circulating microRNAs as predictive biomarkers for prognosis and treatment response in glioblastoma
Elham Ahmed, Marwa Adel Ahmed, May Ahmed Shawki, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Diagnostic Power of MicroRNAs in Melanoma: Integrating Machine Learning for Enhanced Accuracy and Pathway Analysis
Haniyeh Rafiepoor, Alireza Ghorbankhanloo, Soroush Soleimani Dorcheh, et al.
Journal of Cellular and Molecular Medicine (2025) Vol. 29, Iss. 2
Open Access
Predicting microRNA target genes using pan-cancer correlation patterns
Shuting Lin, Peng Qiu
BMC Genomics (2025) Vol. 26, Iss. 1
Open Access
Identification of diagnostic biomarkers for idiopathic pulmonary hypertension with metabolic syndrome by bioinformatics and machine learning
Wenzhang Lu, Jinbo Huang, Qin Shen, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 12
MUSCLE: multi-view and multi-scale attentional feature fusion for microRNA–disease associations prediction
Boya Ji, Haitao Zou, Li‐Wen Xu, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 4
PDE1B, a potential biomarker associated with tumor microenvironment and clinical prognostic significance in osteosarcoma
Qingzhong Chen, Chunmiao Xing, Qiaoyun Zhang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Identification of prostate cancer bone metastasis related genes and potential therapy targets by bioinformatics and in vitro experiments
Haiyang Jiang, Mingcheng Liu, Yingfei Deng, et al.
Journal of Cellular and Molecular Medicine (2024) Vol. 28, Iss. 15
Open Access | Times Cited: 4
Page 1 - Next Page

Scroll to top