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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:

Ordinal classification of the affectation level of 3D-images in Parkinson diseases
Antonio Manuel Durán-Rosal, Julio Camacho-Cañamón, Pedro Antonio Gutiérrez, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 9

Showing 9 citing articles:

Deep learning based hierarchical classifier for weapon stock aesthetic quality control assessment
Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Riccardo Rosati, et al.
Computers in Industry (2022) Vol. 144, pp. 103786-103786
Open Access | Times Cited: 15
A decision tree-based method for ordinal classification problems
Matan Marudi, Irad Ben‐Gal, Gonen Singer
IISE Transactions (2022) Vol. 56, Iss. 9, pp. 960-974
Closed Access | Times Cited: 14
A radiographic, deep transfer learning framework, adapted to estimate lung opacities from chest x-rays
Avantika Vardhan, Alex Makhnevich, Pravan Omprakash, et al.
Bioelectronic Medicine (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 7
Fusion of standard and ordinal dropout techniques to regularise deep models
Francisco Bérchez-Moreno, Juan Carlos Fernández Fernández, César Hervás‐Martínez, et al.
Information Fusion (2024) Vol. 106, pp. 102299-102299
Open Access | Times Cited: 2
Learning Ordinal–Hierarchical Constraints for Deep Learning Classifiers
Riccardo Rosati, Luca Romeo, Víctor Manuel Vargas, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 36, Iss. 3, pp. 4765-4778
Open Access | Times Cited: 1
Generalised triangular distributions for ordinal deep learning: Novel proposal and optimisation
Víctor Manuel Vargas, Antonio Manuel Durán-Rosal, David Guijo-Rubio, et al.
Information Sciences (2023) Vol. 648, pp. 119606-119606
Closed Access | Times Cited: 4
A comparative study of machine learning methods for ordinal classification with absolute and relative information
Mengzi Tang, Raúl Pérez‐Fernández, Bernard De Baets
Knowledge-Based Systems (2021) Vol. 230, pp. 107358-107358
Closed Access | Times Cited: 7
A novel multi‐view ordinal classification approach for software bug prediction
Pelin Yıldırım Taşer
Expert Systems (2022) Vol. 39, Iss. 7
Closed Access | Times Cited: 4
Rectifying Bias in Ordinal Observational Data Using Unimodal Label Smoothing
Stefan Haas, Eyke Hüllermeier
Lecture notes in computer science (2023), pp. 3-18
Closed Access | Times Cited: 1
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