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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:

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

Showing 24 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
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
Machine learning prediction of nanoparticle in vitro toxicity: A comparative study of classifiers and ensemble-classifiers using the Copeland Index
Irini Furxhi, Finbarr Murphy, Martin Mullins, et al.
Toxicology Letters (2019) Vol. 312, pp. 157-166
Open Access | Times Cited: 72
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
Hierarchical deep learning models using transfer learning for disease detection and classification based on small number of medical images
Guangzhou An, Masahiro Akïba, Kazuko Omodaka, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 49
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
Ensemble Learning Method Using Stacking with Base Learner, A Comparison
Ratul Dey, Rajeev Mathur
Lecture notes in networks and systems (2023), pp. 159-169
Closed Access | Times Cited: 12
Stacked Generalization for Overlapping Asymmetric Datasets
Matthew McTeer, Paolo Missier
Lecture notes in computer science (2025), pp. 38-52
Closed Access
ClassifyTE: a stacking-based prediction of hierarchical classification of transposable elements
Manisha Panta, Avdesh Mishra, Md Tamjidul Hoque, et al.
Bioinformatics (2021) Vol. 37, Iss. 17, pp. 2529-2536
Closed Access | Times Cited: 19
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
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
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
Texture recognition of pulmonary nodules based on volume local direction ternary pattern
Zhipeng Fan, Huadong Sun, Cong Ren, et al.
Bioengineered (2020) Vol. 11, Iss. 1, pp. 904-920
Open Access | Times Cited: 5
Predicting Breast Cancer with Ensemble Methods on Cloud
Au Pham, Tu Cam Thi Tran, Phuc Quang Tran, et al.
EAI Endorsed Transactions on Context-aware Systems and Applications (2023) Vol. 9, Iss. 1, pp. e1-e1
Open Access | Times Cited: 1
Graceful Degradation and Related Fields
Jack Dymond
arXiv (Cornell University) (2021)
Open Access | Times Cited: 2
Machine Learning based Prediction of Hierarchical Classification of Transposable Elements
Manisha Panta, Avdesh Mishra, Md Tamjidul Hoque, et al.
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 1
Feature Selection in GPCR Classification Using BAT Algorithm
Safia Bekhouche, Yamina Mohamed Ben Ali
International Journal of Computational Intelligence and Applications (2020) Vol. 19, Iss. 01
Closed Access | Times Cited: 1
TransposonUltimate: software for transposon classification, annotation and detection
Kevin Riehl, Cristian Riccio, Eric A. Miska, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 1
Peer Review #1 of "A systematic review of the application of machine learning in the detection and classification of transposable elements (v0.1)"

(2019)
Open Access
Peer Review #1 of "A systematic review of the application of machine learning in the detection and classification of transposable elements (v0.2)"

(2019)
Open Access
Peer Review #3 of "A systematic review of the application of machine learning in the detection and classification of transposable elements (v0.1)"

(2019)
Open Access
Peer Review #2 of "A systematic review of the application of machine learning in the detection and classification of transposable elements (v0.1)"

(2019)
Open Access
Peer Review #3 of "A systematic review of the application of machine learning in the detection and classification of transposable elements (v0.2)"

(2019)
Open Access
Bio-Inspired Data Mining for Optimizing GPCR Function Identification
Safia Bekhouche, Yamina Mohamed Ben Ali
International Journal of Cognitive Informatics and Natural Intelligence (2021) Vol. 15, Iss. 4, pp. 1-31
Open Access
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