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.

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Showing 1-25 of 46 citing articles:

Decoding and mapping task states of the human brain via deep learning
Xiaoxiao Wang, Xiao Liang, Zhoufan Jiang, et al.
Human Brain Mapping (2019) Vol. 41, Iss. 6, pp. 1505-1519
Open Access | Times Cited: 83

Brain structure-function coupling provides signatures for task decoding and individual fingerprinting
Alessandra Griffa, Enrico Amico, Raphaël Liégeois, et al.
NeuroImage (2022) Vol. 250, pp. 118970-118970
Open Access | Times Cited: 66

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

Deep Learning in Neuroimaging: Promises and challenges
Weizheng Yan, Gang Qu, Wenxing Hu, et al.
IEEE Signal Processing Magazine (2022) Vol. 39, Iss. 2, pp. 87-98
Open Access | Times Cited: 50

Sleep fMRI with simultaneous electrophysiology at 9.4 T in male mice
Yalin Yu, Yue Qiu, Gen Li, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 21

Topics and trends in artificial intelligence assisted human brain research
Xieling Chen, Juan Chen, Gary Cheng, et al.
PLoS ONE (2020) Vol. 15, Iss. 4, pp. e0231192-e0231192
Open Access | Times Cited: 48

Deep learning approaches for neural decoding across architectures and recording modalities
Jesse A. Livezey, Joshua I. Glaser
Briefings in Bioinformatics (2020) Vol. 22, Iss. 2, pp. 1577-1591
Open Access | Times Cited: 43

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

Deep-SDM: A Unified Computational Framework for Sequential Data Modeling Using Deep Learning Models
Nawa Raj Pokhrel, Keshab R. Dahal, Ramchandra Rimal, et al.
Software (2024) Vol. 3, Iss. 1, pp. 47-61
Open Access | Times Cited: 4

Rapid screening of hepatitis B using Raman spectroscopy and long short-term memory neural network
Xin Wang, Shengwei Tian, Long Yu, et al.
Lasers in Medical Science (2020) Vol. 35, Iss. 8, pp. 1791-1799
Closed Access | Times Cited: 25

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

Development of deep learning algorithms to discriminate giant cell tumors of bone from adjacent normal tissues by confocal Raman spectroscopy
Carol P. Y. Lau, Wenao Ma, Kwan Yau Law, et al.
The Analyst (2022) Vol. 147, Iss. 7, pp. 1425-1439
Closed Access | Times Cited: 13

NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics
Anwar Said, Roza G. Bayrak, Tyler Derr, et al.
arXiv (Cornell University) (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

fMRI volume classification using a 3D convolutional neural network robust to shifted and scaled neuronal activations
Hanh Vu, Hyun‐Chul Kim, Minyoung Jung, et al.
NeuroImage (2020) Vol. 223, pp. 117328-117328
Open Access | Times Cited: 19

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

A 3D Convolutional Encapsulated Long Short-Term Memory (3DConv-LSTM) Model for Denoising fMRI Data
Chongyue Zhao, Hongming Li, Zhicheng Jiao, et al.
Lecture notes in computer science (2020), pp. 479-488
Open Access | Times Cited: 14

A new method for Raman spectral analysis: Decision fusion‐based transfer learning model
Chen Chen, Yuhua Ma, Min Zhu, et al.
Journal of Raman Spectroscopy (2022) Vol. 54, Iss. 3, pp. 314-323
Closed Access | Times Cited: 8

Transformer-based Model for fMRI Data: ABIDE Results
Wenhui Li, Shiyuan Wang, Guangyuan Liu
2022 7th International Conference on Computer and Communication Systems (ICCCS) (2022), pp. 162-167
Closed Access | Times Cited: 6

How Does Artificial Intelligence Contribute to iEEG Research?
Julia Berezutskaya, Anne-Lise Saive, Karim Jerbi, et al.
Studies in neuroscience, psychology and behavioral economics (2023), pp. 761-802
Closed Access | Times Cited: 3

OSR-NET: Ordinary Differential Equation-Based Brain State Recognition Neural Network
Hongmin Cai, Tingting Dan, Zhuobin Huang, et al.
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2023)
Closed Access | Times Cited: 3

Decoding task specific and task general functional architectures of the brain
Sukrit Gupta, Marcus Jun Wen Lim, Jagath C. Rajapakse
Human Brain Mapping (2022) Vol. 43, Iss. 9, pp. 2801-2816
Open Access | Times Cited: 5

Transfer Learning to Decode Brain States Reflecting the Relationship Between Cognitive Tasks
Youzhi Qu, Xinyao Jian, Wenxin Che, et al.
Communications in computer and information science (2022), pp. 110-122
Closed Access | Times Cited: 5

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