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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:

Sparsity through evolutionary pruning prevents neuronal networks from overfitting
Richard Gerum, André Erpenbeck, Patrick Krauß, et al.
Neural Networks (2020) Vol. 128, pp. 305-312
Open Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

Predictive coding and stochastic resonance as fundamental principles of auditory phantom perception
Achim Schilling, William Sedley, Richard Gerum, et al.
Brain (2023) Vol. 146, Iss. 12, pp. 4809-4825
Open Access | Times Cited: 45
Automatic design of machine learning via evolutionary computation: A survey
Nan Li, Lianbo Ma, Tiejun Xing, et al.
Applied Soft Computing (2023) Vol. 143, pp. 110412-110412
Closed Access | Times Cited: 27
Intrinsic Noise Improves Speech Recognition in a Computational Model of the Auditory Pathway
Achim Schilling, Richard Gerum, Claus Metzner, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 35
Adaptive multispace adjustable sparse filtering: A sparse feature learning method for intelligent fault diagnosis of rotating machinery
Guowei Zhang, Xianguang Kong, Jingli Du, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 120, pp. 105847-105847
Closed Access | Times Cited: 16
Quantifying and Maximizing the Information Flux in Recurrent Neural Networks
Claus Metzner, Marius E. Yamakou, Dennis Voelkl, et al.
Neural Computation (2024) Vol. 36, Iss. 3, pp. 351-384
Open Access | Times Cited: 7
Mutual Correlation Network for few-shot learning
Derong Chen, Feiyu Chen, Deqiang Ouyang, et al.
Neural Networks (2024) Vol. 175, pp. 106289-106289
Closed Access | Times Cited: 5
Analysis and visualization of sleep stages based on deep neural networks
Patrick Krauß, Claus Metzner, Nidhi Joshi, et al.
Neurobiology of Sleep and Circadian Rhythms (2021) Vol. 10, pp. 100064-100064
Open Access | Times Cited: 32
The digital asset value and currency supervision under deep learning and blockchain technology
Fan Hui-ling
Journal of Computational and Applied Mathematics (2022) Vol. 407, pp. 114061-114061
Closed Access | Times Cited: 19
Multi-modal cognitive maps for language and vision based on neural successor representations
Paul Stoewer, Achim Schilling, Pegah Ramezani, et al.
Neurocomputing (2025), pp. 129662-129662
Closed Access
Analysis of continuous neuronal activity evoked by natural speech with computational corpus linguistics methods
Achim Schilling, Rosario Tomasello, Malte R. Henningsen‐Schomers, et al.
Language Cognition and Neuroscience (2020) Vol. 36, Iss. 2, pp. 167-186
Open Access | Times Cited: 29
Intrinsic noise improves speech recognition in a computational model of the auditory pathway
Achim Schilling, Richard Gerum, Alexandra Zankl, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 28
Deep learning based decoding of single local field potential events
Achim Schilling, Richard Gerum, Claudia Boehm, et al.
NeuroImage (2024) Vol. 297, pp. 120696-120696
Open Access | Times Cited: 3
Neural network based successor representations to form cognitive maps of space and language
Paul Stoewer, Christian Schlieker, Achim Schilling, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 15
Automatic classification and diagnosis of heart valve diseases using heart sounds with MFCC and proposed deep model
Muhammed Yıldırım
Concurrency and Computation Practice and Experience (2022) Vol. 34, Iss. 24
Closed Access | Times Cited: 15
Word class representations spontaneously emerge in a deep neural network trained on next word prediction
Kishore Surendra, Achim Schilling, Paul Stoewer, et al.
(2023), pp. 1481-1486
Open Access | Times Cited: 7
Multi-objective evolutionary architectural pruning of deep convolutional neural networks with weights inheritance
King-Thom Chung, C.K.M. Lee, Y.P. Tsang, et al.
Information Sciences (2024) Vol. 685, pp. 121265-121265
Closed Access | Times Cited: 2
Dynamics and Information Import in Recurrent Neural Networks
Claus Metzner, Patrick Krauß
Frontiers in Computational Neuroscience (2022) Vol. 16
Open Access | Times Cited: 12
Optimizing Convolutional Neural Network Performance by Mitigating Underfitting and Overfitting
Qipei Li, Ming Yan, Jie Xu
(2021), pp. 126-131
Closed Access | Times Cited: 15
Merging pruning and neuroevolution: towards robust and efficient controllers for modular soft robots
Giorgia Nadizar, Eric Medvet, Hola Huse Ramstad, et al.
The Knowledge Engineering Review (2022) Vol. 37
Open Access | Times Cited: 10
The impact of sparsity in low-rank recurrent neural networks
Elizabeth Herbert, Srdjan Ostojic
PLoS Computational Biology (2022) Vol. 18, Iss. 8, pp. e1010426-e1010426
Open Access | Times Cited: 10
On the effects of pruning on evolved neural controllers for soft robots
Giorgia Nadizar, Eric Medvet, Felice Andrea Pellegrino, et al.
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2021), pp. 1744-1752
Closed Access | Times Cited: 14
Integration of Leaky-Integrate-and-Fire Neurons in Standard Machine Learning Architectures to Generate Hybrid Networks: A Surrogate Gradient Approach
Richard Gerum, Achim Schilling
Neural Computation (2021) Vol. 33, Iss. 10, pp. 2827-2852
Open Access | Times Cited: 14
Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm
Shaoyi Huang, Dongkuan Xu, Ian En-Hsu Yen, et al.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022), pp. 190-200
Open Access | Times Cited: 8
Neural correlates of linguistic collocations during continuous speech perception
Armine Garibyan, Achim Schilling, Claudia Boehm, et al.
Frontiers in Psychology (2022) Vol. 13
Open Access | Times Cited: 8
Personalized Medicine for Cardiovascular Disease Risk in Artificial Intelligence Framework
Manasvi Singh, Ashish Kumar, Narendra N. Khanna, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 4
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