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:

Low-Rank Tucker-2 Model for Multi-Subject fMRI Data Decomposition With Spatial Sparsity Constraint
Han Yue, Qiu‐Hua Lin, Li‐Dan Kuang, et al.
IEEE Transactions on Medical Imaging (2021) Vol. 41, Iss. 3, pp. 667-679
Open Access | Times Cited: 20

Showing 20 citing articles:

Design of Cost Efficient VBIR Technique Using ICA and IVCA
B. P. Pradeep Kumar, N. N. Srinidhi, S. L. Shiva Darshan, et al.
SN Computer Science (2024) Vol. 5, Iss. 5
Open Access | Times Cited: 8

FPGA-based Deep Learning Inference Accelerators: Where Are We Standing?
Anouar Nechi, Lukas Groth, Saleh Mulhem, et al.
ACM Transactions on Reconfigurable Technology and Systems (2023) Vol. 16, Iss. 4, pp. 1-32
Open Access | Times Cited: 18

Deep Factor Learning for Accurate Brain Neuroimaging Data Analysis on Discrimination for Structural MRI and Functional MRI
Hengjin Ke, Dan Chen, Quanming Yao, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2023) Vol. 21, Iss. 4, pp. 582-595
Closed Access | Times Cited: 14

Tensor ring subspace analysis method for hand movement classification from multichannel surface EMG signals
Rafał Zdunek
Journal of Computational Science (2025), pp. 102520-102520
Closed Access

Accurate Concentration Recovery for Quantitative Magnetic Particle Imaging Reconstruction via Nonconvex Regularization
Tao Zhu, Lin Yin, Jie He, et al.
IEEE Transactions on Medical Imaging (2024) Vol. 43, Iss. 8, pp. 2949-2959
Open Access | Times Cited: 4

Enhancing Unmanned Aerial Vehicle Object Detection via Tensor Decompositions and Positive–Negative Momentum Optimizers
Ruslan Abdulkadirov, Pavel Lyakhov, Денис Бутусов, et al.
Mathematics (2025) Vol. 13, Iss. 5, pp. 828-828
Open Access

Constrained coupled CPD of complex-valued multi-slice multi-subject fMRI data
Li‐Dan Kuang, Hao Zhu, Long Lei, et al.
Signal Processing (2025) Vol. 234, pp. 110004-110004
Closed Access

Shift-invariant rank-(L, L, 1, 1) BTD with 3D spatial pooling and orthonormalization: Application to multi-subject fMRI data
Li‐Dan Kuang, Hao-Peng Zhang, Hao Zhu, et al.
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 106058-106058
Closed Access | Times Cited: 1

Improving Source Separation for Multi-subject fMRI Data by Incorporating Signal Intensity and Spatiotemporal Basis Expansion
Muhammad Usman Khalid, Malik Muhammad Nauman, Pg. Muhammad Iskandar Bin Pg Hj Petra, et al.
(2024), pp. 224-230
Closed Access | Times Cited: 1

A core tensor sparsity enhancement method for solving Tucker-2 model of multi-subject fMRI data
Han Yue, Qiu‐Hua Lin, Li‐Dan Kuang, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106471-106471
Closed Access | Times Cited: 1

A novel subject-wise dictionary learning approach using multi-subject fMRI spatial and temporal components
Muhammad Usman Khalid, Malik Muhammad Nauman
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 3

Sparse Group Bases for Multisubject fMRI Data
Muhammad Usman Khalid
IEEE Access (2022) Vol. 10, pp. 83379-83397
Open Access | Times Cited: 5

Coupled canonical polyadic decomposition of multi-group fMRI data with spatial reference and orthonormality constraints
Li‐Dan Kuang, Zhi-Ming He, Jianming Zhang, et al.
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104232-104232
Closed Access | Times Cited: 5

Constrained CPD of Complex-Valued Multi-Subject fMRI Data via Alternating Rank-R and Rank-1 Least Squares
Li‐Dan Kuang, Qiu‐Hua Lin, Xiao‐Feng Gong, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 2630-2640
Open Access | Times Cited: 3

Three layered sparse dictionary learning algorithm for enhancing the subject wise segregation of brain networks
Muhammad Usman Khalid, Malik Muhammad Nauman, Sheeraz Akram, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

Optimizing pcsCPD with Alternating Rank-R and Rank-1 Least Squares: Application to Complex-Valued Multi-subject fMRI Data
Li‐Dan Kuang, Wenjun Li, Yan Gui
Communications in computer and information science (2023), pp. 290-302
Closed Access | Times Cited: 1

Denoising brain networks using a fixed mathematical phase change in independent component analysis of magnitude‐only fMRI data
Chao‐Ying Zhang, Qiu‐Hua Lin, Yan‐Wei Niu, et al.
Human Brain Mapping (2023) Vol. 44, Iss. 17, pp. 5712-5728
Open Access | Times Cited: 1

Multimodal Magnetic Resonance Imaging to Diagnose Knee Osteoarthritis under Artificial Intelligence
Zhiyan Zheng, Ruixuan He, Cuijun Lin, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-9
Open Access | Times Cited: 1

Weighted Spatial Pooling Preprocessing for Rank- ($L, L, 1,1$) BTD with Orthonormality: Application to Multi-Subject fMRI Data
Li‐Dan Kuang, Hao-Peng Zhang, Jianming Zhang
2022 International Joint Conference on Neural Networks (IJCNN) (2023), pp. 1-7
Closed Access

Extraction of One Time Point Dynamic Group Features via Tucker Decomposition of Multi-subject FMRI Data: Application to Schizophrenia
Han Yue, Qiu‐Hua Lin, Li‐Dan Kuang, et al.
Communications in computer and information science (2023), pp. 518-527
Closed Access

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