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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:

A survey of hierarchical classification across different application domains
Carlos N. Silla, Alex A. Freitas
Data Mining and Knowledge Discovery (2010) Vol. 22, Iss. 1-2, pp. 31-72
Closed Access | Times Cited: 953

Showing 1-25 of 953 citing articles:

Knowledge graph refinement: A survey of approaches and evaluation methods
Heiko Paulheim
Semantic Web (2016) Vol. 8, Iss. 3, pp. 489-508
Closed Access | Times Cited: 1084
An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition
George Tsatsaronis, Georgios Balikas, Prodromos Malakasiotis, et al.
BMC Bioinformatics (2015) Vol. 16, Iss. 1
Open Access | Times Cited: 507
COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios
Rodolfo M. Pereira, Diego Bertolini, Lucas Teixeira, et al.
Computer Methods and Programs in Biomedicine (2020) Vol. 194, pp. 105532-105532
Open Access | Times Cited: 490
Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL
Nils Strodthoff, Patrick Wagner, Tobias Schaeffter, et al.
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 25, Iss. 5, pp. 1519-1528
Open Access | Times Cited: 270
DEEPre: sequence-based enzyme EC number prediction by deep learning
Yu Li, Sheng Wang, Ramzan Umarov, et al.
Bioinformatics (2017) Vol. 34, Iss. 5, pp. 760-769
Open Access | Times Cited: 267
Tree ensembles for predicting structured outputs
Dragi Kocev, Celine Vens, Jan Struyf, et al.
Pattern Recognition (2012) Vol. 46, Iss. 3, pp. 817-833
Open Access | Times Cited: 260
A Survey of Location Prediction on Twitter
Xin Zheng, Jialong Han, Aixin Sun
IEEE Transactions on Knowledge and Data Engineering (2018) Vol. 30, Iss. 9, pp. 1652-1671
Open Access | Times Cited: 222
An analysis of hierarchical text classification using word embeddings
Roger Stein, Patrícia A. Jaques, João Francisco Valiati
Information Sciences (2018) Vol. 471, pp. 216-232
Open Access | Times Cited: 219
Machine learning algorithms for social media analysis: A survey
T. Balaji, Chandra Sekhara Rao Annavarapu, Annushree Bablani
Computer Science Review (2021) Vol. 40, pp. 100395-100395
Closed Access | Times Cited: 198
Object-Based Image Classification of Summer Crops with Machine Learning Methods
José M. Peña, Pedro Antonio Gutiérrez, César Hervás‐Martínez, et al.
Remote Sensing (2014) Vol. 6, Iss. 6, pp. 5019-5041
Open Access | Times Cited: 196
Towards an effective and efficient deep learning model for COVID-19 patterns detection in X-ray images
Eduardo Luz, Pedro Silva, Rodrigo Silva, et al.
Research on Biomedical Engineering (2021) Vol. 38, Iss. 1, pp. 149-162
Open Access | Times Cited: 164
UDSMProt: universal deep sequence models for protein classification
Nils Strodthoff, Patrick Wagner, Markus Wenzel, et al.
Bioinformatics (2020) Vol. 36, Iss. 8, pp. 2401-2409
Open Access | Times Cited: 156
A Smartphone-Based Adaptive Recognition and Real-Time Monitoring System for Human Activities
Wen Qi, Hang Su, Andréa Aliverti
IEEE Transactions on Human-Machine Systems (2020) Vol. 50, Iss. 5, pp. 414-423
Closed Access | Times Cited: 140
Deep Hierarchical Semantic Segmentation
Liulei Li, Tianfei Zhou, Wenguan Wang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 1236-1247
Open Access | Times Cited: 120
Incorporating Hierarchy into Text Encoder: a Contrastive Learning Approach for Hierarchical Text Classification
Zihan Wang, Peiyi Wang, Lianzhe Huang, et al.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)
Open Access | Times Cited: 73
ON MACHINE-LEARNED CLASSIFICATION OF VARIABLE STARS WITH SPARSE AND NOISY TIME-SERIES DATA
Joseph W. Richards, D. Starr, N. Butler, et al.
The Astrophysical Journal (2011) Vol. 733, Iss. 1, pp. 10-10
Open Access | Times Cited: 217
Decoding the Semantic Content of Natural Movies from Human Brain Activity
Alexander G. Huth, Tyler Lee, Shinji Nishimoto, et al.
Frontiers in Systems Neuroscience (2016) Vol. 10
Open Access | Times Cited: 155
Hierarchical annotation of medical images
Ivica Dimitrovski, Dragi Kocev, Suzana Loškovska, et al.
Pattern Recognition (2011) Vol. 44, Iss. 10-11, pp. 2436-2449
Open Access | Times Cited: 149
Classifying imbalanced data sets using similarity based hierarchical decomposition
Cigdem Beyan, Robert B. Fisher
Pattern Recognition (2014) Vol. 48, Iss. 5, pp. 1653-1672
Open Access | Times Cited: 140
Multi-Label Classification on Tree- and DAG-Structured Hierarchies
Wei Bi, James T. Kwok
International Conference on Machine Learning (2011), pp. 17-24
Closed Access | Times Cited: 136
Semantic similarity and machine learning with ontologies
Maxat Kulmanov, Fatima Zohra Smaili, Xin Gao, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 4
Open Access | Times Cited: 131
Hierarchical multi-label classification using local neural networks
Ricardo Cerri, Rodrigo C. Barros, André C. P. L. F. de Carvalho
Journal of Computer and System Sciences (2013) Vol. 80, Iss. 1, pp. 39-56
Open Access | Times Cited: 124
A review of supervised machine learning applied to ageing research
Fábio Fabris, João Pedro de Magalhães, Alex A. Freitas
Biogerontology (2017) Vol. 18, Iss. 2, pp. 171-188
Open Access | Times Cited: 124
Hierarchical Multi-label Text Classification
Wei Huang, Enhong Chen, Qi Liu, et al.
(2019)
Closed Access | Times Cited: 124
Dealing with the evaluation of supervised classification algorithms
Guzmán Santafé, Iñaki Inza, José A. Lozano
Artificial Intelligence Review (2015) Vol. 44, Iss. 4, pp. 467-508
Closed Access | Times Cited: 114
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