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:

Is it enough to optimize CNN architectures on ImageNet?
Lukas Tuggener, Jürgen Schmidhuber, Thilo Stadelmann
Frontiers in Computer Science (2022) Vol. 4
Open Access | Times Cited: 18

Showing 18 citing articles:

Opportunities for neuromorphic computing algorithms and applications
Catherine D. Schuman, Shruti Kulkarni, Maryam Parsa, et al.
Nature Computational Science (2022) Vol. 2, Iss. 1, pp. 10-19
Open Access | Times Cited: 581

A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions
Peng Yan, Ahmed Abdulkadir, Paul-Philipp Luley, et al.
IEEE Access (2024) Vol. 12, pp. 3768-3789
Open Access | Times Cited: 41

Image Classification With Small Datasets: Overview and Benchmark
Lorenzo Brigato, Björn Barz, Luca Iocchi, et al.
IEEE Access (2022) Vol. 10, pp. 49233-49250
Open Access | Times Cited: 24

From Concept to Implementation: The Data-Centric Development Process for AI in Industry
Paul-Philipp Luley, Jan Deriu, Peng Yan, et al.
(2023), pp. 73-76
Open Access | Times Cited: 11

Large-scale benchmarking and boosting transfer learning for medical image analysis
Mohammad Reza Hosseinzadeh Taher, Fatemeh Haghighi, Michael B. Gotway, et al.
Medical Image Analysis (2025), pp. 103487-103487
Closed Access

A Convolutional Neural Network Algorithm for Pest Detection Using GoogleNet
Intan Nurma Yulita, Muhamad Farid Ridho Rambe, Asep Sholahuddin, et al.
AgriEngineering (2023) Vol. 5, Iss. 4, pp. 2366-2380
Open Access | Times Cited: 8

A Survey of Un-, Weakly-, and Semi-Supervised Learning Methods for Noisy, Missing and Partial Labels in Industrial Vision Applications
Niclas Simmler, Pascal Sager, Philipp Andermatt, et al.
(2021), pp. 26-31
Closed Access | Times Cited: 13

Tune It or Don’t Use It: Benchmarking Data-Efficient Image Classification
Lorenzo Brigato, Björn Barz, Luca Iocchi, et al.
(2021), pp. 1071-1080
Open Access | Times Cited: 12

EffConv: Efficient Learning of Kernel Sizes for Convolution Layers of CNNs
Alireza Ganjdanesh, Shangqian Gao, Heng Huang
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 6, pp. 7604-7612
Open Access | Times Cited: 4

Online painting image clustering for the mental health of college art students based on improved CNN and SMOTE
Fake Ma, Huwei Li
PeerJ Computer Science (2023) Vol. 9, pp. e1462-e1462
Open Access | Times Cited: 4

Deep neural networks for automatic speaker recognition do not learn supra-segmental temporal features
Daniel Neururer, Volker Dellwo, Thilo Stadelmann
Pattern Recognition Letters (2024) Vol. 181, pp. 64-69
Open Access | Times Cited: 1

On Emergent Limits to Knowledge—Or, How to Trust the Robot Researchers: A Pocket Guide
Victoria Stodden
Harvard data science review (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 1

Detecting and classifying defects on the surface of water heaters: Development of an automated system
Ângela Semitela, André Ferreira, António Completo, et al.
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering (2024)
Closed Access | Times Cited: 1

Assessing deep learning: a work program for the humanities in the age of artificial intelligence
Jan Segessenmann, Thilo Stadelmann, Andrew Davison, et al.
AI and Ethics (2023) Vol. 5, Iss. 1, pp. 1-32
Open Access | Times Cited: 2

Deep Learning Algorithm Analysis of Potato Disease Classification for System on Chip Implementation
John Adebisi, Sesham Srinu, Varqa Mitonga
Journal of Digital Food Energy & Water Systems (2024) Vol. 5, Iss. 1
Open Access

Deep Neural Networks for Automatic Speaker Recognition Do Not Learn Supra-Segmental Temporal Features
Daniel Neururer, Volker Dellwo, Thilo Stadelmann
arXiv (Cornell University) (2023)
Open Access

Perbandingan Kinerja Model Convolutional Neural Network pada Klasifikasi Kanker Kulit
Arlingga Cahya Ramdhana, Nunik Pratiwi
EDUMATIC Jurnal Pendidikan Informatika (2023) Vol. 7, Iss. 2, pp. 197-206
Open Access

Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification
Lorenzo Brigato, Björn Barz, Luca Iocchi, et al.
arXiv (Cornell University) (2021)
Closed Access

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