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:

Functional annotation of human cognitive states using deep graph convolution
Yu Zhang, Loïc Tetrel, Bertrand Thirion, et al.
NeuroImage (2021) Vol. 231, pp. 117847-117847
Open Access | Times Cited: 62

Showing 1-25 of 62 citing articles:

Graph Neural Networks and Their Current Applications in Bioinformatics
Xiaomeng Zhang, Liang Li, Lin Liu, et al.
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 212

Gut bless you: The microbiota-gut-brain axis in irritable bowel syndrome
Eline Margrete Randulff Hillestad, Aina van der Meeren, Bharath Halandur Nagaraja, et al.
World Journal of Gastroenterology (2022) Vol. 28, Iss. 4, pp. 412-431
Open Access | Times Cited: 74

Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis
Soham Gadgil, Qingyu Zhao, Adolf Pfefferbaum, et al.
Lecture notes in computer science (2020), pp. 528-538
Open Access | Times Cited: 123

fMRI Brain Decoding and Its Applications in Brain–Computer Interface: A Survey
Bing Du, Xiaomu Cheng, Yiping Duan, et al.
Brain Sciences (2022) Vol. 12, Iss. 2, pp. 228-228
Open Access | Times Cited: 28

Gradients of connectivity as graph Fourier bases of brain activity
Giulia Lioi, Vincent Gripon, A. Brahim, et al.
Network Neuroscience (2021) Vol. 5, Iss. 2, pp. 322-336
Open Access | Times Cited: 32

A deep connectome learning network using graph convolution for connectome-disease association study
Yanwu Yang, Chenfei Ye, Ting Ma
Neural Networks (2023) Vol. 164, pp. 91-104
Open Access | Times Cited: 15

Explainable fMRI‐based brain decoding via spatial temporal‐pyramid graph convolutional network
Ziyuan Ye, Youzhi Qu, Zhichao Liang, et al.
Human Brain Mapping (2023) Vol. 44, Iss. 7, pp. 2921-2935
Open Access | Times Cited: 13

Predicting individual task contrasts from resting‐state functional connectivity using a surface‐based convolutional network
Gia H. Ngo, Meenakshi Khosla, Keith Jamison, et al.
NeuroImage (2021) Vol. 248, pp. 118849-118849
Open Access | Times Cited: 30

Decoding Task-Based fMRI Data with Graph Neural Networks, Considering Individual Differences
Maham Saeidi, Waldemar Karwowski, Farzad V. Farahani, et al.
Brain Sciences (2022) Vol. 12, Iss. 8, pp. 1094-1094
Open Access | Times Cited: 17

Multi-Semantic Decoding of Visual Perception with Graph Neural Networks
Rong Li, Jiyi Li, Chong Wang, et al.
International Journal of Neural Systems (2024) Vol. 34, Iss. 04
Open Access | Times Cited: 3

Deep learning models of cognitive processes constrained by human brain connectomes
Yu Zhang, Nicolas Farrugia, Pierre Bellec
Medical Image Analysis (2022) Vol. 80, pp. 102507-102507
Open Access | Times Cited: 15

Using deep clustering to improve fMRI dynamic functional connectivity analysis
Arthur P. C. Spencer, Marc Goodfellow
NeuroImage (2022) Vol. 257, pp. 119288-119288
Open Access | Times Cited: 14

Predicting the retinotopic organization of human visual cortex from anatomy using geometric deep learning
Fernanda L. Ribeiro, Steffen Bollmann, Alexander M. Puckett
NeuroImage (2021) Vol. 244, pp. 118624-118624
Open Access | Times Cited: 19

Interpreting mental state decoding with deep learning models
Armin W. Thomas, Christopher Ré, Russell A. Poldrack
Trends in Cognitive Sciences (2022) Vol. 26, Iss. 11, pp. 972-986
Open Access | Times Cited: 12

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

Machine Learning and Graph Signal Processing Applied to Healthcare: A Review
Maria Alice Andrade Calazans, Felipe A. B. S. Ferreira, Fernando A. N. Santos, et al.
Bioengineering (2024) Vol. 11, Iss. 7, pp. 671-671
Open Access | Times Cited: 2

Attention module improves both performance and interpretability of four‐dimensional functional magnetic resonance imaging decoding neural network
Zhoufan Jiang, Yanming Wang, Chenwei Shi, et al.
Human Brain Mapping (2022) Vol. 43, Iss. 8, pp. 2683-2692
Open Access | Times Cited: 11

Evaluating deep transfer learning for whole-brain cognitive decoding
Armin W. Thomas, Ulman Lindenberger, Wojciech Samek, et al.
Journal of the Franklin Institute (2023) Vol. 360, Iss. 13, pp. 9754-9787
Open Access | Times Cited: 6

Benchmarking explanation methods for mental state decoding with deep learning models
Armin W. Thomas, Christopher Ré, Russell A. Poldrack
NeuroImage (2023) Vol. 273, pp. 120109-120109
Open Access | Times Cited: 6

Transferability of Brain decoding using Graph Convolutional Networks
Yu Zhang, Pierre Bellec
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 16

ECGNN: Enhancing Abnormal Recognition in 12-Lead ECG with Graph Neural Network
Xiongjun Zhao, Zhengyu Liu, Lin Han, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2022)
Closed Access | Times Cited: 10

Association between Adolescent Brain Morphometry and Cognitive Function: Insights from a Cross-Sectional Analysis of ABCD Data from 9 to 15 Years Old
Jiadong Yan, Yasser Iturria‐Medina, Gleb Bezgin, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1

Dynamic Adaptive Spatio-Temporal Graph Convolution for fMRI Modelling
Ahmed El-Gazzar, Rajat M. Thomas, Guido van Wingen
Lecture notes in computer science (2021), pp. 125-134
Closed Access | Times Cited: 9

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