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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:

BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria
Robson Parmezan Bonidia, Anderson P. Avila-Santos, Breno L. S. de Almeida, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 4
Open Access | Times Cited: 21

Showing 21 citing articles:

Automated data processing and feature engineering for deep learning and big data applications: A survey
Alhassan Mumuni, Fuseini Mumuni
Journal of Information and Intelligence (2024)
Open Access | Times Cited: 32
BioAutoMATED: An end-to-end automated machine learning tool for explanation and design of biological sequences
Jacqueline A. Valeri, Luis R. Soenksen, Katherine M. Collins, et al.
Cell Systems (2023) Vol. 14, Iss. 6, pp. 525-542.e9
Open Access | Times Cited: 21
BioDeepfuse: a hybrid deep learning approach with integrated feature extraction techniques for enhanced non-coding RNA classification
Anderson P. Avila-Santos, Breno L. S. de Almeida, Robson Parmezan Bonidia, et al.
RNA Biology (2024) Vol. 21, Iss. 1, pp. 1-12
Open Access | Times Cited: 6
Breakthroughs in AI and Multi-Omics for Cancer Drug Discovery: A Review
Israr Fatima, Abdur Rehman, Yanheng Ding, et al.
European Journal of Medicinal Chemistry (2024) Vol. 280, pp. 116925-116925
Closed Access | Times Cited: 6
Automated hyperparameter tuning for crack image classification with deep learning
André Luiz Carvalho Ottoni, A. M. Felippe de Souza, Marcela S. Novo
Soft Computing (2023) Vol. 27, Iss. 23, pp. 18383-18402
Closed Access | Times Cited: 14
Squeezing adaptive deep learning methods with knowledge distillation for on-board cloud detection
Bartosz Grabowski, Maciej Ziaja, Michał Kawulok, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 107835-107835
Closed Access | Times Cited: 3
Vaccine development using artificial intelligence and machine learning: A review
Varun Asediya, Pranav Anjaria, R. A. Mathakiya, et al.
International Journal of Biological Macromolecules (2024), pp. 136643-136643
Closed Access | Times Cited: 3
An Automated Machine Learning Engine with Inverse Analysis for Seismic Design of Dams
Mohammad Amin Hariri‐Ardebili, Farhad Pourkamali‐Anaraki
Water (2022) Vol. 14, Iss. 23, pp. 3898-3898
Open Access | Times Cited: 12
GANSamples-ac4C: Enhancing ac4C site prediction via generative adversarial networks and transfer learning
Fei Li, Jiale Zhang, Kewei Li, et al.
Analytical Biochemistry (2024) Vol. 689, pp. 115495-115495
Closed Access | Times Cited: 1
Information Theory for Biological Sequence Classification: A Novel Feature Extraction Technique Based on Tsallis Entropy
Robson Parmezan Bonidia, Anderson P. Avila-Santos, Breno L. S. de Almeida, et al.
Entropy (2022) Vol. 24, Iss. 10, pp. 1398-1398
Open Access | Times Cited: 5
Meta-Learning on Clinical Data for Diagnosis Support Systems: A Systematic Review
Sandra Amador, Higinio Mora, David Gil, et al.
Springer proceedings in complexity (2024), pp. 751-759
Closed Access
Zaman serisi tahminlemede otomatikleştirilmiş makine öğrenmesi (AutoML) kütüphanelerinin karşılaştırılması
Nagihan AKKURT, Servet Hasgül
Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi (2024) Vol. 39, Iss. 3, pp. 1693-1702
Open Access
BioAutoML: Democratizing Machine Learning in Life Sciences
Robson Parmezan Bonidia
(2024)
Open Access
BioPrediction-RPI: Democratizing the prediction of interaction between non-coding RNA and protein with end-to-end machine learning
Bruno Rafael Florentino, Robson Parmezan Bonidia, Natan Henrique Sanches, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 2267-2276
Open Access
Breaking Barriers: Democratizing Machine Learning for RNA-Protein Interaction Prediction in Life Sciences
Bruno Rafael Florentino, Robson Parmezan Bonidia, André C. P. L. F. de Carvalho
(2024), pp. 7-12
Closed Access
BioAutoML: Democratizing Machine Learning in Life Sciences
Robson Parmezan Bonidia, André C. P. L. F. de Carvalho
(2024), pp. 85-90
Open Access
Exploration of non-coding RNA in complex microbial communities with machine learning
Anderson P. Avila-Santos
(2024)
Open Access
Current computational tools for protein lysine acylation site prediction
Zhaohui Qin, Haoran Ren, Pei Zhao, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Closed Access
Discovering Entities Similarities in Biological Networks Using a Hybrid Immune Algorithm
Rocco A. Scollo, Antonio Gianmaria Spampinato, Georgia Fargetta, et al.
Informatics (2023) Vol. 10, Iss. 1, pp. 18-18
Open Access | Times Cited: 1
BioPrediction: Democratizing Machine Learning in the Study of Molecular Interactions
Bruno Rafael Florentino, Natan Henrique Sanches, Robson Parmezan Bonidia, et al.
(2023), pp. 525-539
Open Access | Times Cited: 1
ML Based Phenotype Analysis Using Differential Gene Expression Data in Schizophrenia
D Aadhithyan, Shabarirajan KJ, Varun Maniappan, et al.
(2023), pp. 1-7
Closed Access
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