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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:

Bringing uncertainty quantification to the extreme-edge with memristor-based Bayesian neural networks
Djohan Bonnet, Tifenn Hirtzlin, Atreya Majumdar, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 23

Showing 23 citing articles:

Evaluation of water quality indexes with novel machine learning and SHapley Additive ExPlanation (SHAP) approaches
Ali Aldrees, Majid Khan, Abubakr Taha Bakheit Taha, et al.
Journal of Water Process Engineering (2024) Vol. 58, pp. 104789-104789
Closed Access | Times Cited: 65
Intelligent classification of computer vulnerabilities and network security management system: Combining memristor neural network and improved TCNN model
Z. A. Liu
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0318075-e0318075
Open Access | Times Cited: 2
DenRAM: neuromorphic dendritic architecture with RRAM for efficient temporal processing with delays
S. D’Agostino, Filippo Moro, Tristan Torchet, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 14
Roadmap to neuromorphic computing with emerging technologies
Adnan Mehonić, Daniele Ielmini, Kaushik Roy, et al.
APL Materials (2024) Vol. 12, Iss. 10
Open Access | Times Cited: 10
Reconfigurable Ag/HfO2/NiO/Pt Memristors with Stable Synchronous Synaptic and Neuronal Functions for Renewable Homogeneous Neuromorphic Computing System
Jiaqi Chen, Xingqiang Liu, Chang Liu, et al.
Nano Letters (2024) Vol. 24, Iss. 17, pp. 5371-5378
Closed Access | Times Cited: 9
Memristors enabling probabilistic AI at the edge
Damien Querlioz
Nature Computational Science (2025)
Closed Access
Layer ensemble averaging for fault tolerance in memristive neural networks
Osama Yousuf, Brian D. Hoskins, K Ramu, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
The logarithmic memristor-based Bayesian machine
Clément Turck, Kamel-Eddine Harabi, Adrien Pontlevy, et al.
Communications Engineering (2025) Vol. 4, Iss. 1
Open Access
High-Performance Edge-Line Contact Memristors with In-Plane Solid–Liquid–Solid Grown Silicon Nanowires for Probabilistic Neuromorphic Computing
Lei Yan, Yifei Zhang, Zhiyan Hu, et al.
ACS Nano (2025)
Closed Access
Ultraviolet Optoelectronic Synapse Based on AlScN/p‐i‐n GaN Heterojunction for Advanced Artificial Vision Systems
Zhiwei Xie, Ke Jiang, Shanli Zhang, et al.
Advanced Materials (2025)
Closed Access
Photonic Bayesian Neural Networks: Leveraging Programmable Noise for Robust and Uncertainty‐Aware Computing
Yangyang Zhuge, Zhihao Ren, Zian Xiao, et al.
Advanced Science (2025)
Open Access
Uncertainty weighted policy optimization based on Bayesian approximation
Tianyi Li, Tianyi Li, Jian Chu
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access
Memristive Monte Carlo DropConnect crossbar array enabled by device and algorithm co-design
D. H. Kim, Woon Hyung Cheong, Hanchan Song, et al.
Materials Horizons (2024) Vol. 11, Iss. 17, pp. 4094-4103
Closed Access | Times Cited: 2
Probabilistic Photonic Computing with Chaotic Light
Wolfram H. P. Pernice, Frank Brückerhoff‐Plückelmann, Hendrik Borras, et al.
Research Square (Research Square) (2024)
Closed Access | Times Cited: 1
Probabilistic photonic computing with chaotic light
Frank Brückerhoff‐Plückelmann, Hendrik Borras, Bernhard Klein, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Deep Bayesian active learning using in-memory computing hardware
Yudeng Lin, Bin Gao, Jianshi Tang, et al.
Nature Computational Science (2024)
Open Access | Times Cited: 1
Bayesian In-Memory Computing with Resistive Memories
Clément Turck, Djohan Bonnet, Kamel-Eddine Harabi, et al.
2022 International Electron Devices Meeting (IEDM) (2023), pp. 1-4
Closed Access | Times Cited: 2
A life in electrical engineering, glancing at biology
Silvia Conti, Elisa Vianello
Nature Reviews Electrical Engineering (2024) Vol. 1, Iss. 3, pp. 145-146
Closed Access
NeuSpin: Design of a Reliable Edge Neuromorphic System Based on Spintronics for Green AI
Soyed Tuhin Ahmed, Kamal Danouchi, Guillaume Prenat, et al.
(2024), pp. 1-6
Open Access
High-Efficient Memristor-Based Bayesian Convolutional Neural Networks for Out-of-Distribution Detection by Uncertainty Estimation
Yudeng Lin, Qingtian Zhang, Bin Gao, et al.
IEEE Transactions on Electron Devices (2024) Vol. 72, Iss. 1, pp. 206-214
Closed Access
Uncertainty quantification in the motion of a water-exit vehicle and analysis of the robustness enhancement characteristics of pressure-equalizing exhaust
Guihui Ma, C.W. Lu, Ming Fang, et al.
Physics of Fluids (2024) Vol. 36, Iss. 12
Closed Access
Performance of recurrent neural networks with Monte Carlo dropout for predicting pharmacokinetic parameters from dynamic contrast‐enhanced magnetic resonance imaging data
Kenya Murase, Atsushi Nakamoto, Noriyuki Tomiyama
Journal of Applied Clinical Medical Physics (2024)
Open Access
Towards Uncertainty-Quantifiable Biomedical Intelligence: Mixed-signal Compute-in-Entropy for Bayesian Neural Networks
Likai Pei, Yifan Qin, Zephan M. Enciso, et al.
(2024), pp. 1-9
Closed Access
Bayesian-Informed Hyperdimensional Learning for Intelligent and Efficient Data Processing
Hamza Errahmouni Barkam, Tamoghno Das, Prathyush Poduval, et al.
(2024), pp. 1-9
Closed Access
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