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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 large and rich EEG dataset for modeling human visual object recognition
Alessandro T. Gifford, Kshitij Dwivedi, Gemma Roig, et al.
NeuroImage (2022) Vol. 264, pp. 119754-119754
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

THINGS-data, a multimodal collection of large-scale datasets for investigating object representations in human brain and behavior
Martin N. Hebart, Oliver Contier, Lina Teichmann, et al.
eLife (2023) Vol. 12
Open Access | Times Cited: 42
Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features
Changde Du, Kaicheng Fu, Jinpeng Li, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 45, Iss. 9, pp. 10760-10777
Open Access | Times Cited: 33
Visual Representations: Insights from Neural Decoding
Amanda K. Robinson, Genevieve L. Quek, Thomas A. Carlson
Annual Review of Vision Science (2023) Vol. 9, Iss. 1, pp. 313-335
Open Access | Times Cited: 25
ChineseEEG: A Chinese Linguistic Corpora EEG Dataset for Semantic Alignment and Neural Decoding
Xinyu Mou, Cuilin He, Liwei Tan, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 4
Generating realistic neurophysiological time series with denoising diffusion probabilistic models
Julius Vetter, Jakob H. Macke, Richard Gao
Patterns (2024) Vol. 5, Iss. 9, pp. 101047-101047
Open Access | Times Cited: 4
An extensive dataset of spiking activity to reveal the syntax of the ventral stream
Paolo Papale, Feng Wang, Matthew W. Self, et al.
Neuron (2025)
Closed Access
Statistics-Fused Learning for Classification of Randomized Eeg Trials
Wuxia Zhang, Junchao Tian, Xiaoyan Zhang, et al.
(2025)
Closed Access
Exploring Deep Learning Models for EEG Neural Decoding
Laurits Dixen, Stefan Heinrich, Paolo Burelli
Lecture notes in computer science (2025), pp. 162-175
Closed Access
Decoding Natural Images from EEG Signals Using a learnable Multi-band Spatio-Temporal Encoder
Zhiyuan Xue, Peng Xu, Junpeng Zhang
(2025)
Closed Access
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
Advancing EEG-based brain-computer interface technology via PEDOT:PSS electrodes
Yang Li, Yuzhe Gu, Junchen Teng, et al.
Matter (2024) Vol. 7, Iss. 9, pp. 2859-2895
Closed Access | Times Cited: 2
Decoding Brain Signals from Rapid-Event EEG for Visual Analysis Using Deep Learning
M. Rehman, Humaira Anwer, Helena Garay, et al.
Sensors (2024) Vol. 24, Iss. 21, pp. 6965-6965
Open Access | Times Cited: 2
Ecological decoding of visual aesthetic preference with oscillatory electroencephalogram features—A mini-review
Marc Welter, Fabien Lotte
Frontiers in Neuroergonomics (2024) Vol. 5
Open Access | Times Cited: 1
Contribution of low-level image statistics to EEG decoding of semantic content in multivariate and univariate models with feature optimization
Eric Lützow Holm, Diego Fernández Slezak, Enzo Tagliazucchi
NeuroImage (2024) Vol. 293, pp. 120626-120626
Open Access | Times Cited: 1
Decoding electroencephalographic responses to visual stimuli compatible with electrical stimulation
Simone Romeni, Laura Toni, Fiorenzo Artoni, et al.
APL Bioengineering (2024) Vol. 8, Iss. 2
Open Access | Times Cited: 1
An easy‐to‐follow handbook for electroencephalogram data analysis with Python
Zitong Lu, Wanru Li, Lu Nie, et al.
Brain‐X (2024) Vol. 2, Iss. 2
Open Access | Times Cited: 1
Human EEG and artificial neural networks reveal disentangled representations of object real-world size in natural images
Zitong Lu, Julie D. Golomb
(2024)
Open Access | Times Cited: 1
Brain Decodes Deep Nets
Huzheng Yang, James C. Gee, Jianbo Shi
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 364, pp. 23030-23040
Closed Access | Times Cited: 1
“Identifying and characterizing scene representations relevant for categorization behavior”
Johannes Singer, Agnessa Karapetian, Martin N. Hebart, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 4
Human EEG and artificial neural networks reveal disentangled representations of object real-world size in natural images
Zitong Lu, Julie D. Golomb
(2024)
Open Access
Learning Exemplar Representations in Single-Trial EEG Category Decoding
Jack A. Kilgallen, Barak A. Pearlmutter, Jeffrey Mark Siskind
(2024), pp. 1-6
Open Access
Classifying the Cognitive Performance of Drivers While Talking on Hands-Free Mobile Phone Based on Innovative Sensors and Intelligent Approach
Boniface Ndubuisi Ossai, Mhd Saeed Sharif, Cynthia H.Y. Fu, et al.
Journal of Sensor and Actuator Networks (2024) Vol. 13, Iss. 5, pp. 48-48
Open Access
Encoding models for developmental cognitive computational neuroscience:Promise, challenges, and potential
Tomoya Nakai, Charlotte Constant-Varlet, Jérôme Prado
Developmental Cognitive Neuroscience (2024) Vol. 70, pp. 101470-101470
Open Access
A hybrid local-global neural network for visual classification using raw EEG signals
Shuning Xue, Bu Jin, Jie Jiang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
A Comprehensive Survey on Emerging Techniques and Technologies in Spatio-Temporal EEG Data Analysis
Pengfei Wang, Huanran Zheng, Silong Dai, et al.
Chinese journal of information fusion. (2024) Vol. 1, Iss. 3, pp. 183-211
Closed Access
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