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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:

Deep learning based mild cognitive impairment diagnosis using structure MR images
Jingwan Jiang, Kang Li, Jianjun Huang, et al.
Neuroscience Letters (2020) Vol. 730, pp. 134971-134971
Open Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

Explainable Deep-Learning-Based Diagnosis of Alzheimer’s Disease Using Multimodal Input Fusion of PET and MRI Images
Modupe Odusami, Rytis Maskeliūnas, Robertas Damaševičius, et al.
Journal of Medical and Biological Engineering (2023) Vol. 43, Iss. 3, pp. 291-302
Open Access | Times Cited: 42
Deep Learning Model for Prediction of Progressive Mild Cognitive Impairment to Alzheimer’s Disease Using Structural MRI
Bing Yan Lim, Khin Wee Lai, Khairunnisa Haiskin, et al.
Frontiers in Aging Neuroscience (2022) Vol. 14
Open Access | Times Cited: 44
Deep-Learning-Based Diagnosis and Prognosis of Alzheimer’s Disease: A Comprehensive Review
Rahul Sharma, Tripti Goel, M. Tanveer, et al.
IEEE Transactions on Cognitive and Developmental Systems (2023) Vol. 15, Iss. 3, pp. 1123-1138
Closed Access | Times Cited: 36
AHANet: Adaptive Hybrid Attention Network for Alzheimer’s Disease Classification Using Brain Magnetic Resonance Imaging
T. Illakiya, R. Karthik, M. V. Siddharth, et al.
Bioengineering (2023) Vol. 10, Iss. 6, pp. 714-714
Open Access | Times Cited: 36
New Convolutional Neural Network and Graph Convolutional Network-Based Architecture for AI Applications in Alzheimer’s Disease and Dementia-Stage Classification
Easin Hasan, Amy Wagler
AI (2024) Vol. 5, Iss. 1, pp. 342-363
Open Access | Times Cited: 9
Identifying Early Mild Cognitive Impairment by Multi-Modality MRI-Based Deep Learning
Kang Li, Jingwan Jiang, Jianjun Huang, et al.
Frontiers in Aging Neuroscience (2020) Vol. 12
Open Access | Times Cited: 62
Multi-modality MRI for Alzheimer’s disease detection using deep learning
Latifa Houria, Noureddine Belkhamsa, Assia Cherfa, et al.
Physical and Engineering Sciences in Medicine (2022) Vol. 45, Iss. 4, pp. 1043-1053
Closed Access | Times Cited: 34
Information fusion-based Bayesian optimized heterogeneous deep ensemble model based on longitudinal neuroimaging data
Nasir Rahim, Shaker El–Sappagh, Haytham Rizk, et al.
Applied Soft Computing (2024) Vol. 162, pp. 111749-111749
Closed Access | Times Cited: 6
Optimized Convolutional Fusion for Multimodal Neuroimaging in Alzheimer’s Disease Diagnosis: Enhancing Data Integration and Feature Extraction
Modupe Odusami, Rytis Maskeliūnas, Robertas Damaševičius
Journal of Personalized Medicine (2023) Vol. 13, Iss. 10, pp. 1496-1496
Open Access | Times Cited: 13
Improved deep canonical correlation fusion approach for detection of early mild cognitive impairment
Sreelakshmi Shaji, Rohini Palanisamy, Ramakrishnan Swaminathan
Medical & Biological Engineering & Computing (2025)
Closed Access
DCNN-SBiL: EEG signal based mild cognitive impairment classification using compact convolutional network
Anshu Devi, M. Madhavi Latha
Expert Systems with Applications (2025), pp. 126553-126553
Closed Access
Sleep EEG-Based Approach to Detect Mild Cognitive Impairment
Duyan Geng, Chao Wang, Zhigang Fu, et al.
Frontiers in Aging Neuroscience (2022) Vol. 14
Open Access | Times Cited: 20
Classification of early-MCI patients from healthy controls using evolutionary optimization of graph measures of resting-state fMRI, for the Alzheimer’s disease neuroimaging initiative
Jafar Zamani, Ali Sadr, Amir‐Homayoun Javadi
PLoS ONE (2022) Vol. 17, Iss. 6, pp. e0267608-e0267608
Open Access | Times Cited: 20
Machine learning-based prediction of mild cognitive impairment among individuals with normal cognitive function
Xia Wei Zhu, Sibo Liu, Chen Hua Ji, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access | Times Cited: 4
IoT‐Based Secured Biomedical Device to Remote Monitoring to the Patient
G. Dinesh, Jeevanarao Batakala, Yousef A. Baker El‐Ebiary, et al.
(2025), pp. 349-363
Closed Access
Multimodal magnetic resonance imaging for Alzheimer's disease diagnosis using hybrid features extraction and ensemble support vector machines
Latifa Houria, Noureddine Belkhamsa, Assia Cherfa, et al.
International Journal of Imaging Systems and Technology (2022) Vol. 33, Iss. 2, pp. 610-621
Closed Access | Times Cited: 17
Advancements in Alzheimer's disease classification using deep learning frameworks for multimodal neuroimaging: A comprehensive review
Prashant Upadhyay, Pradeep Tomar, Satya Prakash Yadav
Computers & Electrical Engineering (2024) Vol. 120, pp. 109796-109796
Closed Access | Times Cited: 3
Identifying Epilepsy Based on Deep Learning Using DKI Images
Jianjun Huang, Jiahui Xu, Kang Li, et al.
Frontiers in Human Neuroscience (2020) Vol. 14
Open Access | Times Cited: 25
Differentiation between multiple sclerosis and neuromyelitis optica spectrum disorders by multiparametric quantitative MRI using convolutional neural network
Akifumi Hagiwara, Yujiro Otsuka, Christina Andica, et al.
Journal of Clinical Neuroscience (2021) Vol. 87, pp. 55-58
Open Access | Times Cited: 17
ResD Hybrid Model Based on Resnet18 and Densenet121 for Early Alzheimer Disease Classification
Modupe Odusami, Rytis Maskeliūnas, Robertas Damaševičius, et al.
Lecture notes in networks and systems (2022), pp. 296-305
Closed Access | Times Cited: 10
A robust low-rank matrix completion based on truncated nuclear norm and Lp-norm
Hao Liang, Kang Li, Jianjun Huang
The Journal of Supercomputing (2022) Vol. 78, Iss. 11, pp. 12950-12972
Closed Access | Times Cited: 9
End-to-End Deep Learning Architectures Using 3D Neuroimaging Biomarkers for Early Alzheimer’s Diagnosis
Deevyankar Agarwal, M. Álvaro Berbís, Teodoro Martín‐Noguerol, et al.
Mathematics (2022) Vol. 10, Iss. 15, pp. 2575-2575
Open Access | Times Cited: 9
Bridging structural MRI with cognitive function for individual level classification of early psychosis via deep learning
Yang Wen, Chuan Zhou, Leiting Chen, et al.
Frontiers in Psychiatry (2023) Vol. 13
Open Access | Times Cited: 5
Alzheimer Hastalığının Teşhisinde Görüntü Dönüştürücü (Vision Transformer) Yaklaşımı: Yenilikçi Bir İnceleme
Mehmet Emre Sertkaya, Burhan Ergen
Fırat Üniversitesi Mühendislik Bilimleri Dergisi (2024) Vol. 36, Iss. 2, pp. 609-619
Open Access | Times Cited: 1
Structural irregularities in MR corpus callosal images and their association with cerebrospinal fluid biomarkers in Mild Cognitive Impairments
Sreelakshmi Shaji, Rohini Palanisamy, Ramakrishnan Swaminathan
Neuroscience Letters (2023) Vol. 810, pp. 137329-137329
Closed Access | Times Cited: 3
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