Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Simple and complex spiking neurons: perspectives and analysis in a simple STDP scenario
Davide L. Manna, Álex Vicente, Paul Kirkland, et al.
Neuromorphic Computing and Engineering (2022) Vol. 2, Iss. 4, pp. 044009-044009
Open Access | Times Cited: 18

Showing 18 citing articles:

From fundamentals to frontiers: a review of memristor mechanisms, modeling and emerging applications
Parth Thakkar, Jeny Gosai, Himangshu Jyoti Gogoi, et al.
Journal of Materials Chemistry C (2024) Vol. 12, Iss. 5, pp. 1583-1608
Closed Access | Times Cited: 20
Computing of neuromorphic materials: an emerging approach for bioengineering solutions
Chander Prakash, Lovi Raj Gupta, Amrinder Mehta, et al.
Materials Advances (2023) Vol. 4, Iss. 23, pp. 5882-5919
Open Access | Times Cited: 22
Hysteresis, Rectification, and Relaxation Times of Nanofluidic Pores for Neuromorphic Circuit Applications
Juan Bisquert
Advanced Physics Research (2024) Vol. 3, Iss. 8
Open Access | Times Cited: 9
A learning numerical spiking neural P system for classification problems
Jianping Dong, Gexiang Zhang, Yijin Wu, et al.
Knowledge-Based Systems (2024) Vol. 296, pp. 111914-111914
Closed Access | Times Cited: 7
Device physics recipe to make spiking neurons
Juan Bisquert
Chemical Physics Reviews (2023) Vol. 4, Iss. 3
Open Access | Times Cited: 15
Memristor-based spiking neural network with online reinforcement learning
Danila Vlasov, А. А. Миннеханов, Roman Rybka, et al.
Neural Networks (2023) Vol. 166, pp. 512-523
Closed Access | Times Cited: 14
Iontronic Nanopore Model for Artificial Neurons: The Requisites of Spiking
Juan Bisquert
The Journal of Physical Chemistry Letters (2023) Vol. 14, Iss. 40, pp. 9027-9033
Closed Access | Times Cited: 14
Frameworks for SNNs: A Review of Data Science-Oriented Software and an Expansion of SpykeTorch
Davide L. Manna, Álex Vicente, Paul Kirkland, et al.
Communications in computer and information science (2023), pp. 227-238
Closed Access | Times Cited: 10
Spiking Neural Networks for event-based action recognition: A new task to understand their advantage
Álex Vicente, Davide L. Manna, Paul Kirkland, et al.
Neurocomputing (2024), pp. 128657-128657
Open Access | Times Cited: 3
Combining traditional and spiking neural networks for energy-efficient detection of Eimeria parasites
Iago Vázquez, Bahgat Ayasi, Hüseyin Şeker, et al.
Applied Soft Computing (2024) Vol. 160, pp. 111681-111681
Closed Access | Times Cited: 2
Hybrid Spiking Neural Networks Fine-Tuning for Hippocampus Segmentation
Ye Yue, Marc Baltes, Nidal Abujahar, et al.
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2023), pp. 1-5
Closed Access | Times Cited: 4
Molecular Toxicity Virtual Screening Applying a Quantized Computational SNN-Based Framework
Mauro Nascimben, Lia Rimondini
Molecules (2023) Vol. 28, Iss. 3, pp. 1342-1342
Open Access | Times Cited: 3
Spiking neural networks fine-tuning for brain image segmentation
Ye Yue, Marc Baltes, Nidal Abuhajar, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 2
The influence of synaptic plasticity on critical coupling estimates for neural populations
Kaitlyn Toth, Dan Wilson
Journal of Mathematical Biology (2024) Vol. 88, Iss. 3
Closed Access
Time Series Forecasting via Derivative Spike Encoding and Bespoke Loss Functions for Spiking Neural Networks
Davide L. Manna, Álex Vicente, Paul Kirkland, et al.
Computers (2024) Vol. 13, Iss. 8, pp. 202-202
Open Access
Sign Language Recognition using Spiking Neural Networks
Pranav Chaudhari, Álex Vicente, Amlan Basu, et al.
Procedia Computer Science (2024) Vol. 235, pp. 2674-2683
Open Access
Model-agnostic neural mean field with a data-driven transfer function
Alex Spaeth, David Haussler, Mircea Teodorescu
Neuromorphic Computing and Engineering (2024) Vol. 4, Iss. 3, pp. 034013-034013
Open Access
Spiking Neural Network Actor–Critic Reinforcement Learning with Temporal Coding and Reward-Modulated Plasticity
Danila Vlasov, R. B. Rybka, Alexey Serenko, et al.
Moscow University Physics Bulletin (2024) Vol. 79, Iss. S2, pp. S944-S952
Closed Access
Page 1

Scroll to top