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:

Prediction of new associations between ncRNAs and diseases exploiting multi-type hierarchical clustering
Emanuele Pio Barracchia, Gianvito Pio, Domenica D’Elia, et al.
BMC Bioinformatics (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Evaluation of train and test performance of machine learning algorithms and Parkinson diagnosis with statistical measurements
Emre Avuçlu, Abdullah Elen
Medical & Biological Engineering & Computing (2020) Vol. 58, Iss. 11, pp. 2775-2788
Closed Access | Times Cited: 50
The computational approaches of lncRNA identification based on coding potential: Status quo and challenges
Jing Li, Xuan Zhang, Changning Liu
Computational and Structural Biotechnology Journal (2020) Vol. 18, pp. 3666-3677
Open Access | Times Cited: 35
Artificial intelligence and machine learning heuristics for discovery of ncRNAs
Alfredo Benso, Gianfranco Politano
Progress in molecular biology and translational science (2025)
Closed Access
Fusing clinical and image data for detecting the severity level of hospitalized symptomatic COVID-19 patients using hierarchical model
Mohammad Mahdi Ershadi, Zeinab Rahimi Rise
Research on Biomedical Engineering (2023) Vol. 39, Iss. 1, pp. 209-232
Open Access | Times Cited: 10
Predicting miRNA-disease associations based on PPMI and attention network
Xuping Xie, Yan Wang, Kai He, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 10
Frontiers and Challenges of Computing ncRNAs Biogenesis, Function and Modulation
Silvia Rinaldi, Elisabetta Moroni, Riccardo Rozza, et al.
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 3, pp. 993-1018
Closed Access | Times Cited: 3
Length of hospital stay prediction with an integrated approach of statistical-based fuzzy cognitive maps and artificial neural networks
Elif Doğu, Y. Esra Albayrak, Esin Tuncay
Medical & Biological Engineering & Computing (2021) Vol. 59, Iss. 3, pp. 483-496
Closed Access | Times Cited: 19
HMCDA: a novel method based on the heterogeneous graph neural network and metapath for circRNA-disease associations prediction
Shiyang Liang, Siwei Liu, Junliang Song, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 7
Literature on Applied Machine Learning in Metagenomic Classification: A Scoping Review
Petar Tonkovic, Slobodan Kalajdziski, Eftim Zdravevski, et al.
Biology (2020) Vol. 9, Iss. 12, pp. 453-453
Open Access | Times Cited: 18
Information extraction for prognostic stage prediction from breast cancer medical records using NLP and ML
Pratiksha R. Deshmukh, Rashmi Phalnikar
Medical & Biological Engineering & Computing (2021) Vol. 59, Iss. 9, pp. 1751-1772
Closed Access | Times Cited: 17
BROCCOLI: overlapping and outlier-robust biclustering through proximal stochastic gradient descent
Sibylle Hess, Gianvito Pio, Michiel E. Hochstenbach, et al.
Data Mining and Knowledge Discovery (2021) Vol. 35, Iss. 6, pp. 2542-2576
Open Access | Times Cited: 12
Hypercluster: a flexible tool for parallelized unsupervised clustering optimization
Lili M. Blumenberg, Kelly V. Ruggles
BMC Bioinformatics (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 12
Hybrid artificial fish particle swarm optimizer and kernel extreme learning machine for type-II diabetes predictive model
N. Kanimozhi, G. Singaravel
Medical & Biological Engineering & Computing (2021) Vol. 59, Iss. 4, pp. 841-867
Closed Access | Times Cited: 11
The Role of Placental Non-Coding RNAs in Adverse Pregnancy Outcomes
Jiawen Ren, Heyue Jin, Yumin Zhu
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 5, pp. 5030-5030
Open Access | Times Cited: 4
KATZNCP: a miRNA–disease association prediction model integrating KATZ algorithm and network consistency projection
Min Chen, Yingwei Deng, Zejun Li, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 4
Self-evoluting framework of deep convolutional neural network for multilocus protein subcellular localization
Hanhan Cong, Hong Liu, Yuehui Chen, et al.
Medical & Biological Engineering & Computing (2020) Vol. 58, Iss. 12, pp. 3017-3038
Closed Access | Times Cited: 9
Predicting multiple types of miRNA–disease associations using adaptive weighted nonnegative tensor factorization with self-paced learning and hypergraph regularization
Dong Ouyang, Yong Liang, Jianjun Wang, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Closed Access | Times Cited: 6
One-Class Ensembles for Rare Genomic Sequences Identification
Jonathan Kaufmann, Kathryn C. Asalone, Roberto Corizzo, et al.
Lecture notes in computer science (2020), pp. 340-354
Closed Access | Times Cited: 8
Automatic BIRCH thresholding with features transformation for hierarchical breast cancer clustering
Ahmad Alzu’bi, Maysarah Barham
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2022) Vol. 12, Iss. 2, pp. 1498-1498
Open Access | Times Cited: 5
Detecting lncRNA–Cancer Associations by Combining miRNAs, Genes, and Prognosis With Matrix Factorization
Huan Yan, Hua Chai, Huiying Zhao
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 6
Semi-supervised Ensemble Learning for Efficient Cancer Sample Classification from miRNA Gene Expression Data
Dikme Chisil B. Marak, Anindya Halder, Ansuman Kumar
New Generation Computing (2021) Vol. 39, Iss. 3-4, pp. 487-513
Closed Access | Times Cited: 4
Exploiting microRNA Expression Data for the Diagnosis of Disease Conditions and the Discovery of Novel Biomarkers
D.D. Rosa, Antonio Pellicani, Gianvito Pio, et al.
Lecture notes in computer science (2024), pp. 77-86
Closed Access
Sparse Consensus Classification for Discovering Novel Biomarkers in Rheumatoid Arthritis
Cláudia S. Constantino, Alexandra M. Carvalho, Susana Vinga
Lecture notes in computer science (2020), pp. 125-136
Closed Access | Times Cited: 3
Significant Subgraph Detection in Multi-omics Networks for Disease Pathway Identification
Mohamed Abdel-Hafiz, Mesbah Najafi, Shahab Helmi, et al.
Frontiers in Big Data (2022) Vol. 5
Open Access | Times Cited: 2
Generating Explainable and Effective Data Descriptors Using Relational Learning: Application to Cancer Biology
Oghenejokpeme I. Orhobor, Joseph C. French, Larisa Soldatova, et al.
Lecture notes in computer science (2020), pp. 374-385
Open Access | Times Cited: 2
Page 1 - Next Page

Scroll to top