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:

Inducing Hierarchical Multi-label Classification rules with Genetic Algorithms
Ricardo Cerri, Márcio P. Basgalupp, Rodrigo C. Barros, et al.
Applied Soft Computing (2019) Vol. 77, pp. 584-604
Closed Access | Times Cited: 24

Showing 24 citing articles:

Hierarchical Text Classification and Its Foundations: A Review of Current Research
Alessandro Zangari, Matteo Marcuzzo, Matteo Rizzo, et al.
Electronics (2024) Vol. 13, Iss. 7, pp. 1199-1199
Open Access | Times Cited: 7
Multi-label feature selection based on label distribution and feature complementarity
Wenbin Qian, Xuandong Long, Yinglong Wang, et al.
Applied Soft Computing (2020) Vol. 90, pp. 106167-106167
Closed Access | Times Cited: 35
A new framework of multi-objective evolutionary algorithms for feature selection and multi-label classification of video data
Gizem Nur Karagoz, Adnan Yazıcı, Tansel Dökeroğlu, et al.
International Journal of Machine Learning and Cybernetics (2020) Vol. 12, Iss. 1, pp. 53-71
Closed Access | Times Cited: 32
A multilabel classification approach to identify hurricane‐induced infrastructure disruptions using social media data
Kamol Chandra Roy, Samiul Hasan, Pallab Mozumder
Computer-Aided Civil and Infrastructure Engineering (2020) Vol. 35, Iss. 12, pp. 1387-1402
Closed Access | Times Cited: 28
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
Machine learning for discovering missing or wrong protein function annotations
Felipe Kenji Nakano, Mathias Lietaert, Celine Vens
BMC Bioinformatics (2019) Vol. 20, Iss. 1
Open Access | Times Cited: 26
Predicting Multiple Outcomes Associated with Frailty based on Imbalanced Multi-label Classification
Adane Nega Tarekegn, Krzysztof Michalak, Giuseppe Costa, et al.
Journal of Healthcare Informatics Research (2024) Vol. 8, Iss. 4, pp. 594-618
Open Access | Times Cited: 1
A co‐training‐based approach for the hierarchical multi‐label classification of research papers
Abir Masmoudi, Hatem Bellâaj, Khalil Drira, et al.
Expert Systems (2020) Vol. 38, Iss. 4
Open Access | Times Cited: 11
Multi-label rhinitis prediction using ensemble neural network chain with pre-training
Jingdong Yang, Meng Zhang, Peng Liu, et al.
Applied Soft Computing (2022) Vol. 122, pp. 108839-108839
Closed Access | Times Cited: 5
Imbalanced multi-label data classification as a bi-level optimization problem: application to miRNA-related diseases diagnosis
Marwa Chabbouh, Slim Bechikh, Efrén Mezura‐Montes, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 22, pp. 16285-16303
Closed Access | Times Cited: 2
A Robust Multilabel Method Integrating Rule-Based Transparent Model, Soft Label Correlation Learning and Label Noise Resistance
Qiongdan Lou, Zhaohong Deng, Qingbing Sang, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2023) Vol. 8, Iss. 1, pp. 454-473
Open Access | Times Cited: 2
Incremental deep forest for multi-label data streams learning
Shunpan Liang, Weiwei Pan, Dianlong You, et al.
Applied Intelligence (2022) Vol. 52, Iss. 12, pp. 13398-13414
Closed Access | Times Cited: 4
Multi-label classification approach for quranic verses labeling
Adeleke Abdullahi, Noor Azah Samsudin, Mohd Hisyam Abdul Rahim, et al.
Indonesian Journal of Electrical Engineering and Computer Science (2021) Vol. 24, Iss. 1, pp. 484-484
Open Access | Times Cited: 4
Predicting Multiple Outcomes Associated with Frailty based on Imbalanced Multi-label Classification
Adane Nega Tarekegn, Krzysztof Michalak, Giuseppe Costa, et al.
Research Square (Research Square) (2024)
Open Access
Algorithm A for distributed data Classification
Evans Teiko Tetteh, Beata Zielosko
Procedia Computer Science (2024) Vol. 246, pp. 4355-4364
Open Access
A new self-organizing map based algorithm for multi-label stream classification
Ricardo Cerri, Joel David C., Elaine R. Faria, et al.
(2021)
Closed Access | Times Cited: 3
HEMDAG: a family of modular and scalable hierarchical ensemble methods to improve Gene Ontology term prediction
Marco Notaro, Marco Frasca, Alessandro Petrini, et al.
Bioinformatics (2021) Vol. 37, Iss. 23, pp. 4526-4533
Closed Access | Times Cited: 3
Multi-label Stream Classification with Self-Organizing Maps
Ricardo Cerri, Joel David Costa Júnior, Elaine Faria de Ribeiro Paiva, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 2
Effect of Distance Metrics on Multi-label Classification
Vaishali S. Tidake, Shirish S. Sane
Lecture notes in networks and systems (2021), pp. 73-82
Closed Access | Times Cited: 2
Generation of consistent sets of multi-label classification rules with a multi-objective evolutionary algorithm
Thiago Zafalon Miranda, Diorge Brognara Sardinha, Márcio P. Basgalupp, et al.
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2020), pp. 143-144
Open Access | Times Cited: 1
Value-Enhancing Modeling of Surrenders and Lapses
Hsiao-Tzu Huang, Ya-Wen Hwang, Linus Fang-Shu Chan, et al.
(2023)
Closed Access
Generation of Consistent Sets of Multi-Label Classification Rules with a Multi-Objective Evolutionary Algorithm
Thiago Zafalon Miranda, Diorge Brognara Sardinha, Márcio P. Basgalupp, et al.
arXiv (Cornell University) (2020)
Closed Access
Identification of complex mixtures for Raman spectroscopy using a novel scheme based on a new multi-label deep neural network
Liangrui Pan, Pronthep Pipitsunthonsan, Chalongrat Daengngam, et al.
arXiv (Cornell University) (2020)
Open Access
Research on Uncertain Prediction Method Based on Credibility Distribution
Yan Li, Chenxia Jin, Ying Wang
Lecture notes in computer science (2021), pp. 148-159
Closed Access
Page 1

Scroll to top