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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:

A GPU-based computational framework that bridges neuron simulation and artificial intelligence
Yichen Zhang, Gan He, Лей Ма, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 15

Showing 15 citing articles:

Brain-Inspired Computing: A Systematic Survey and Future Trends
Guoqi Li, Lei Deng, Huajin Tang, et al.
Proceedings of the IEEE (2024) Vol. 112, Iss. 6, pp. 544-584
Open Access | Times Cited: 13
Theoretical analysis of low-power deep synergistic sono-optogenetic excitation of neurons by co-expressing light-sensitive and mechano-sensitive ion-channels
Sukhdev Roy, Gur Pyari, Himanshu Bansal
Communications Biology (2025) Vol. 8, Iss. 1
Open Access | Times Cited: 1
Deep learning applications in breast cancer histopathological imaging: diagnosis, treatment, and prognosis
Bitao Jiang, Lingling Bao, Songqin He, et al.
Breast Cancer Research (2024) Vol. 26, Iss. 1
Open Access | Times Cited: 6
Bionic Recognition Technologies Inspired by Biological Mechanosensory Systems
Xiangxiang Zhang, Chang-Guang Wang, Xin Pi, et al.
Advanced Materials (2025)
Closed Access
Machine learning-accelerated peridynamics model for mechanical and failure behaviors of materials
Jiasheng Huang, Janet Liew, Binbin Yin, et al.
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 438, pp. 117826-117826
Closed Access
Exploring temporal information dynamics in Spiking Neural Networks: Fast Temporal Efficient Training
Changjiang Han, Li‐Juan Liu, Hamid Reza Karimi
Journal of Neuroscience Methods (2025), pp. 110401-110401
Closed Access
Research on General-Purpose Brain-Inspired Computing Systems
Peng Qu, Xinglong Ji, Jiajie Chen, et al.
Journal of Computer Science and Technology (2024) Vol. 39, Iss. 1, pp. 4-21
Open Access | Times Cited: 3
Real-time multicompartment Hodgkin-Huxley neuron emulation on SoC FPGA
Romain Beaubois, Jérémy Cheslet, Yoshiho Ikeuchi, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 2
Towards human-leveled vision systems
Jianhao Ding, Tiejun Huang
Science China Technological Sciences (2024) Vol. 67, Iss. 8, pp. 2331-2349
Open Access | Times Cited: 1
DendroTweaks: An interactive approach for unraveling dendritic dynamics
Roman Makarov, Spyridon Chavlis, Panayiota Poirazi
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
DendroTweaks: An interactive approach for unraveling dendritic dynamics
Roman Makarov, Spyridon Chavlis, Panayiota Poirazi
(2024)
Open Access
DendroTweaks: An interactive approach for unraveling dendritic dynamics
Roman Makarov, Spyridon Chavlis, Panayiota Poirazi
(2024)
Open Access
An integrative data-driven model simulating C. elegans brain, body and environment interactions
Mengdi Zhao, Ning Wang, Xinrui Jiang, et al.
Nature Computational Science (2024)
Open Access
A simulated C. elegans with biophysically detailed neurons and muscle dynamics

Nature Computational Science (2024)
Closed Access
Reproducibility of biophysical in silico neuron states and spikes from event-based partial histories
Evan Cudone, Amelia M. Lower, Robert A. McDougal
PLoS Computational Biology (2023) Vol. 19, Iss. 10, pp. e1011548-e1011548
Open Access
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