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:

Top-down strategies for hierarchical classification of transposable elements with neural networks
Felipe Kenji Nakano, Walter José G. S. Pinto, Gisele L. Pappa, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2017), pp. 2539-2546
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Retrotransposons in Plant Genomes: Structure, Identification, and Classification through Bioinformatics and Machine Learning
Simón Orozco-Arias, Gustavo Isaza, Romain Guyot
International Journal of Molecular Sciences (2019) Vol. 20, Iss. 15, pp. 3837-3837
Open Access | Times Cited: 98

Genome size evolution: towards new model systems for old questions
Julie Blommaert
Proceedings of the Royal Society B Biological Sciences (2020) Vol. 287, Iss. 1933
Open Access | Times Cited: 93

TransposonUltimate: software for transposon classification, annotation and detection
Kevin Riehl, Cristian Riccio, Eric A. Miska, et al.
Nucleic Acids Research (2022) Vol. 50, Iss. 11, pp. e64-e64
Open Access | Times Cited: 50

From tradition to innovation: conventional and deep learning frameworks in genome annotation
Zhaojia Chen, Noor ul Ain, Qian Zhao, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 9

Measuring Performance Metrics of Machine Learning Algorithms for Detecting and Classifying Transposable Elements
Simón Orozco-Arias, Johan S. Piña, Reinel Tabares-Soto, et al.
Processes (2020) Vol. 8, Iss. 6, pp. 638-638
Open Access | Times Cited: 54

A systematic review of the application of machine learning in the detection and classification of transposable elements
Simón Orozco-Arias, Gustavo Isaza, Romain Guyot, et al.
PeerJ (2019) Vol. 7, pp. e8311-e8311
Open Access | Times Cited: 38

Cost-sensitive hierarchical classification for imbalance classes
Weijie Zheng, Hong Zhao
Applied Intelligence (2020) Vol. 50, Iss. 8, pp. 2328-2338
Closed Access | Times Cited: 33

Semi-Supervised Hierarchical Multi-Label Classifier Based on Local Information
Jonathan Serrano-Pérez, L. Enrique Sucar
International Journal of Approximate Reasoning (2025), pp. 109411-109411
Closed Access

Active learning for hierarchical multi-label classification
Felipe Kenji Nakano, Ricardo Cerri, Celine Vens
Data Mining and Knowledge Discovery (2020) Vol. 34, Iss. 5, pp. 1496-1530
Open Access | Times Cited: 28

K-mer-based machine learning method to classify LTR-retrotransposons in plant genomes
Simón Orozco-Arias, Mariana S. Candamil-Cortés, Paula A. Jaimes, et al.
PeerJ (2021) Vol. 9, pp. e11456-e11456
Open Access | Times Cited: 18

Stacking Methods for Hierarchical Classification
Felipe Kenji Nakano, Saulo Martiello Mastelini, Sylvio Barbon, et al.
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) (2017)
Closed Access | Times Cited: 24

Improving Hierarchical Classification of Transposable Elements using Deep Neural Networks
Felipe Kenji Nakano, Saulo Martiello Mastelini, Sylvio Barbon, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2018), pp. 1-8
Closed Access | Times Cited: 22

Feasibility analysis of machine learning for performance-related attributional statements
Anil Berkin, Walter Aerts, Tom Van Caneghem
International Journal of Accounting Information Systems (2022) Vol. 48, pp. 100597-100597
Closed Access | Times Cited: 12

Survey of Image Processing Techniques for Brain Pathology Diagnosis: Challenges and Opportunities
Martin Cenek, Masa Hu, Gerald E. York, et al.
Frontiers in Robotics and AI (2018) Vol. 5
Open Access | Times Cited: 19

Optimization of Discrete Wavelet Transform Feature Representation and Hierarchical Classification of G-Protein Coupled Receptor Using Firefly Algorithm and Particle Swarm Optimization
Nor Ashikin Mohamad Kamal, Azuraliza Abu Bakar, Suhaila Zainudin
Applied Sciences (2022) Vol. 12, Iss. 23, pp. 12011-12011
Open Access | Times Cited: 10

Cost-sensitive hierarchical classification via multi-scale information entropy for data with an imbalanced distribution
Weijie Zheng, Hong Zhao
Applied Intelligence (2021) Vol. 51, Iss. 8, pp. 5940-5952
Closed Access | Times Cited: 13

Evaluating hierarchical machine learning approaches to classify biological databases
Pâmela Marinho Rezende, Joicymara S. Xavier, David B. Ascher, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 4
Open Access | Times Cited: 8

Hierarchy-Based File Fragment Classification
Manish Bhatt, Avdesh Mishra, Md Wasi Ul Kabir, et al.
Machine Learning and Knowledge Extraction (2020) Vol. 2, Iss. 3, pp. 216-232
Open Access | Times Cited: 12

NeuralTE: an accurate approach for Transposable Element superfamily classification with multi-feature fusion
Kang Hu, Minghua Xu, Xin Gao, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1

Detection and classification of long terminal repeat sequences in plant LTR-retrotransposons and their analysis using explainable machine learning
Jakub Horvath, Pavel Jedlička, Marie Krátká, et al.
BioData Mining (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 1

Strategies for Selection of Positive and Negative Instances in the Hierarchical Classification of Transposable Elements
Bruna Zamith Santos, Gean Trindade Pereira, Felipe Kenji Nakano, et al.
(2018), pp. 420-425
Closed Access | Times Cited: 12

A Content-based File Identification Dataset: collection, construction, and evaluation
Saja Dheyaa Khudhur, Hassan Awheed Jeiad
Karbala International Journal of Modern Science (2022) Vol. 8, Iss. 2, pp. 63-70
Open Access | Times Cited: 7

A Genetic Algorithm for Transposable Elements Hierarchical Classification Rule Induction
Gean Trindade Pereira, Bruna Zamith Santos, Ricardo Cerri
2022 IEEE Congress on Evolutionary Computation (CEC) (2018), pp. 1-8
Closed Access | Times Cited: 5

A lexicographic genetic algorithm for hierarchical classification rule induction
Gean Trindade Pereira, Paulo Henrique Ribeiro Gabriel, Ricardo Cerri
Proceedings of the Genetic and Evolutionary Computation Conference (2019), pp. 846-854
Closed Access | Times Cited: 4

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