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:

High-resolution image reconstruction with latent diffusion models from human brain activity
Yu Takagi, Shinji Nishimoto
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

AI in neurocritical care: what to expect
J. Claude Hemphill, Geert Meyfroidt
Intensive Care Medicine (2025)
Closed Access | Times Cited: 1

Advocating for neurodata privacy and neurotechnology regulation
Rafael Yuste
Nature Protocols (2023) Vol. 18, Iss. 10, pp. 2869-2875
Closed Access | Times Cited: 21

Controllable Mind Visual Diffusion Model
Bohan Zeng, Shanglin Li, Xuhui Liu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 7, pp. 6935-6943
Open Access | Times Cited: 5

Through their eyes: Multi-subject brain decoding with simple alignment techniques
Matteo Ferrante, Tommaso Boccato, Furkan Özçelik, et al.
Imaging Neuroscience (2024) Vol. 2, pp. 1-21
Open Access | Times Cited: 5

Movie reconstruction from mouse visual cortex activity
Joel Bauer, Troy W. Margrie, Claudia Clopath
(2025)
Open Access

Movie reconstruction from mouse visual cortex activity
Joel Bauer, Troy W. Margrie, Claudia Clopath
(2025)
Open Access

AI-Generated Content (AIGC) for Various Data Modalities: A Survey
Lin Geng Foo, Hossein Rahmani, Jun Liu
ACM Computing Surveys (2025)
Closed Access

Latent Diffusion Transformer for Probabilistic Time Series Forecasting
Shibo Feng, Chunyan Miao, Zhong Zhang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 11, pp. 11979-11987
Open Access | Times Cited: 3

Decoding visual brain representations from electroencephalography through knowledge distillation and latent diffusion models
Matteo Ferrante, Tommaso Boccato, Stefano Bargione, et al.
Computers in Biology and Medicine (2024) Vol. 178, pp. 108701-108701
Open Access | Times Cited: 3

Electromagnetic-field theories of qualia: can they improve upon standard neuroscience?
Mostyn W. Jones, Tam Hunt
Frontiers in Psychology (2023) Vol. 14
Open Access | Times Cited: 8

Functional Near-Infrared Spectrometry as a Useful Diagnostic Tool for Understanding the Visual System: A Review
Kelly Acuña, Rishav Sapahia, I Jiménez, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 1, pp. 282-282
Open Access | Times Cited: 3

Energy Guided Diffusion for Generating Neurally Exciting Images
Paweł A. Pierzchlewicz, Konstantin F. Willeke, Arne Nix, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 7

Brain decoding of the Human Connectome Project tasks in a dense individual fMRI dataset
Shima Rastegarnia, Marie St‐Laurent, Elizabeth DuPré, et al.
NeuroImage (2023) Vol. 283, pp. 120395-120395
Open Access | Times Cited: 7

Human Visual Cortex and Deep Convolutional Neural Network Care Deeply about Object Background
Jessica Loke, Noor Seijdel, Lukas Snoek, et al.
Journal of Cognitive Neuroscience (2024) Vol. 36, Iss. 3, pp. 551-566
Open Access | Times Cited: 2

Text and image generation from intracranial electroencephalography using an embedding space for text and images
Yuya Ikegawa, Ryohei Fukuma, Hidenori Sugano, et al.
Journal of Neural Engineering (2024) Vol. 21, Iss. 3, pp. 036019-036019
Open Access | Times Cited: 2

A new era in cognitive neuroscience: the tidal wave of artificial intelligence (AI)
Zhiyi Chen, Ali Yadollahpour
BMC Neuroscience (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 2

Ethics and Governance of Neurotechnology in Africa: Lessons From AI
Damian Eke
JMIR Neurotechnology (2024) Vol. 3, pp. e56665-e56665
Open Access | Times Cited: 2

Generating realistic neurophysiological time series with denoising diffusion probabilistic models
Julius Vetter, Jakob H. Macke, Richard Gao
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 5

Group‐level brain decoding with deep learning
Richárd Csáky, Mats W.J. van Es, Ōiwi Parker Jones, et al.
Human Brain Mapping (2023) Vol. 44, Iss. 17, pp. 6105-6119
Open Access | Times Cited: 4

Image to Image Translation Based on Differential Image Pix2Pix Model
Xi Zhao, Haizheng Yu, Bian Hong
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 77, Iss. 1, pp. 181-198
Open Access | Times Cited: 4

How Rapid-Eye-Movement Dreams May Facilitate Learning and Creativity
Nicolas Deperrois, Mihai A. Petrovici, Jakob Jordan, et al.
(2024)
Open Access | Times Cited: 1

Bridging the Semantic Latent Space between Brain and Machine: Similarity Is All You Need
Jiaxuan Chen, Yu Qi, Yueming Wang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 10, pp. 11302-11310
Open Access | Times Cited: 1

Consciousness Ain’t All That
Neil Levy
Neuroethics (2024) Vol. 17, Iss. 2
Open Access | Times Cited: 1

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