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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:

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

Showing 1-25 of 28 citing articles:

Multi-Label Active Learning-Based Machine Learning Model for Heart Disease Prediction
Ibrahim M. El‐Hasnony, Omar M. Elzeki, Ali Alshehri, et al.
Sensors (2022) Vol. 22, Iss. 3, pp. 1184-1184
Open Access | Times Cited: 117
Active Learning Based Federated Learning for Waste and Natural Disaster Image Classification
L. Jubair Ahmed, Kashif Ahmad, Naina Said, et al.
IEEE Access (2020) Vol. 8, pp. 208518-208531
Open Access | Times Cited: 61
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
Learning More with Less Data in Manufacturing: The Case of Turning Tool Wear Assessment through Active and Transfer Learning
Alexios Papacharalampopoulos, Kosmas Alexopoulos, Paolo Catti, et al.
Processes (2024) Vol. 12, Iss. 6, pp. 1262-1262
Open Access | Times Cited: 4
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification
Meng Xiao, Ziyue Qiao, Yanjie Fu, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 35, Iss. 9, pp. 9685-9699
Open Access | Times Cited: 9
A meta-framework for multi-label active learning based on deep reinforcement learning
Shuyue Chen, Ran Wang, Jian Lu
Neural Networks (2023) Vol. 162, pp. 258-270
Closed Access | Times Cited: 7
Archives, Access and Artificial Intelligence

Bielefeld University Press eBooks (2022)
Closed Access | Times Cited: 12
Integrating contextual information into multi-class classification to improve the context-aware recommendation
Oumaima STITINI, Soulaimane Kaloun, Omar Bencharef
Procedia Computer Science (2022) Vol. 198, pp. 311-316
Open Access | Times Cited: 9
Statistical Modelling by Topological Maps of Kohonen for Classification of the Physicochemical Quality of Surface Waters of the Inaouen Watershed Under Matlab
Rachid El Chaal, Othman Aboutafail
Journal of the Nigerian Society of Physical Sciences (2022), pp. 223-230
Open Access | Times Cited: 7
Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification
Meng Xiao, Ziyue Qiao, Yanjie Fu, et al.
2021 IEEE International Conference on Data Mining (ICDM) (2021), pp. 757-766
Open Access | Times Cited: 9
Partition and Learned Clustering with joined-training: Active learning of GNNs on large-scale graph
Jian Gao, Jianshe Wu, Xin Zhang, et al.
Knowledge-Based Systems (2022) Vol. 258, pp. 110050-110050
Closed Access | Times Cited: 6
A Machine Learning in Binary and Multiclassification Results on Imbalanced Heart Disease Data Stream
Danish Hamid, Syed Sajid Ullah, Jawaid Iqbal, et al.
Journal of Sensors (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 5
Active Learning with an Adaptive Classifier for Inaccessible Big Data Analysis
Sadia Jahan, Md. Rafiqul Islam, Khan Md. Hasib, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2021), pp. 1-7
Closed Access | Times Cited: 7
Cost‐effective multi‐instance multilabel active learning
Cong Su, Zhongmin Yan, Guoxian Yu
International Journal of Intelligent Systems (2021) Vol. 36, Iss. 12, pp. 7177-7203
Open Access | Times Cited: 6
MLI: A Multi-level Inference Mechanism for User Attributes in Social Networks
Hang Zhang, Yajun Yang, Xin Wang, et al.
ACM transactions on office information systems (2022) Vol. 41, Iss. 2, pp. 1-30
Closed Access | Times Cited: 4
Medical symptom recognition from patient text: An active learning approach for long-tailed multilabel distributions
Ali Mottaghi, Prathusha K Sarma, Xavier Amatriain, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 5
Multi-label classification with label clusters
Elaine Cecília Gatto, Mauri Ferrandin, Ricardo Cerri
Knowledge and Information Systems (2024) Vol. 67, Iss. 2, pp. 1741-1785
Closed Access
Deep Active Learning Multiclass Classifier for the Sentimental Analysis in Imbalanced Unstructured Text Data
Mohammed Raja, J. Arunadevi
(2023), pp. 1-6
Closed Access | Times Cited: 1
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
Archives, Access and Artificial Intelligence

Digital humanities research (2022)
Open Access | Times Cited: 2
Graceful Degradation and Related Fields
Jack Dymond
arXiv (Cornell University) (2021)
Open Access | Times Cited: 2
sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel Classification.
G. F. Benedict, Vincent Koops, Daan Odijk, et al.
(2021)
Closed Access | Times Cited: 1
Multi-Label Classification with Label Clusters
Elaine Cecília Gatto, Mauri Ferrandin, Ricardo Cerri
Research Square (Research Square) (2023)
Open Access
Cost-Efficient Multi-Instance Multi-Label Active Learning Via Correlation of Features
Guoliang Su, Zhangquan Wu, Yujia Ye, et al.
2022 IEEE International Conference on Image Processing (ICIP) (2023), pp. 410-414
Closed Access
Hierarchical Label Inference Incorporating Attribute Semantics in Attributed Networks
Junliang Li, Yajun Yang, Qinghua Hu, et al.
2021 IEEE International Conference on Data Mining (ICDM) (2023), pp. 1091-1096
Closed Access
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