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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:

MRI Segmentation and Classification of Human Brain Using Deep Learning for Diagnosis of Alzheimer’s Disease: A Survey
Nagaraj Yamanakkanavar, Jae Young Choi, Bumshik Lee
Sensors (2020) Vol. 20, Iss. 11, pp. 3243-3243
Open Access | Times Cited: 172

Showing 1-25 of 172 citing articles:

Classification of Skin Disease Using Deep Learning Neural Networks with MobileNet V2 and LSTM
Parvathaneni Naga Srinivasu, Jalluri Gnana SivaSai, Muhammad Fazal Ijaz, et al.
Sensors (2021) Vol. 21, Iss. 8, pp. 2852-2852
Open Access | Times Cited: 543
Deep Learning Approach for Early Detection of Alzheimer’s Disease
Hadeer A. Helaly, Mahmoud Badawy, Amira Y. Haikal
Cognitive Computation (2021) Vol. 14, Iss. 5, pp. 1711-1727
Open Access | Times Cited: 195
Unlocking the Potential of XAI for Improved Alzheimer’s Disease Detection and Classification Using a ViT-GRU Model
Shivanshu Mahim, Md Shahin Ali, Md. Olid Hasan, et al.
IEEE Access (2024) Vol. 12, pp. 8390-8412
Open Access | Times Cited: 21
Computational intelligence-based classification system for the diagnosis of memory impairment in psychoactive substance users
Chaoyang Zhu
Journal of Cloud Computing Advances Systems and Applications (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 19
Deep learning based pipelines for Alzheimer's disease diagnosis: A comparative study and a novel deep-ensemble method
Andrea Loddo, Sara Buttau, Cecilia Di Ruberto
Computers in Biology and Medicine (2021) Vol. 141, pp. 105032-105032
Closed Access | Times Cited: 100
Trends in the application of deep learning networks in medical image analysis: Evolution between 2012 and 2020
Lu Wang, Hwa‐Chain Robert Wang, Yingna Huang, et al.
European Journal of Radiology (2021) Vol. 146, pp. 110069-110069
Closed Access | Times Cited: 63
Convolution Neural Networks and Self-Attention Learners for Alzheimer Dementia Diagnosis from Brain MRI
Pierluigi Carcagnì, Marco Leo, Marco Del Coco, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1694-1694
Open Access | Times Cited: 37
Automatic Detection of Alzheimer's Disease using Deep Learning Models and Neuro-Imaging: Current Trends and Future Perspectives
T. Illakiya, R. Karthik
Neuroinformatics (2023) Vol. 21, Iss. 2, pp. 339-364
Closed Access | Times Cited: 37
Artificial Intelligence for Cognitive Health Assessment: State-of-the-Art, Open Challenges and Future Directions
Abdul Rehman Javed, Ayesha Saadia, Huma Mughal, et al.
Cognitive Computation (2023) Vol. 15, Iss. 6, pp. 1767-1812
Open Access | Times Cited: 35
Alzheimer’s Disease Diagnosis Using Machine Learning: A Survey
Omer Asghar Dara, José Manuel López-Guede, Hasan Issa Raheem, et al.
Applied Sciences (2023) Vol. 13, Iss. 14, pp. 8298-8298
Open Access | Times Cited: 26
Trustworthy artificial intelligence in Alzheimer’s disease: state of the art, opportunities, and challenges
Shaker El–Sappagh, José M. Alonso, Tamer Abuhmed, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 10, pp. 11149-11296
Closed Access | Times Cited: 25
Automated Alzheimer's disease classification using deep learning models with Soft-NMS and improved ResNet50 integration
Yusi Chen, Lizhen Wang, Bijiao Ding, et al.
Journal of Radiation Research and Applied Sciences (2024) Vol. 17, Iss. 1, pp. 100782-100782
Open Access | Times Cited: 13
Deep learning methods for early detection of Alzheimer’s disease using structural MR images: a survey
Sonia Ben Hassen, Mohamed Néji, Zain Hussain, et al.
Neurocomputing (2024) Vol. 576, pp. 127325-127325
Closed Access | Times Cited: 10
Unveiling New Strategies Facilitating the Implementation of Artificial Intelligence in Neuroimaging for the Early Detection of Alzheimer’s Disease
Maudlyn O. Etekochay, Amoolya Rao Amaravadhi, Gabriel Villarrubia, et al.
Journal of Alzheimer s Disease (2024) Vol. 99, Iss. 1, pp. 1-20
Closed Access | Times Cited: 10
Toward deep MRI segmentation for Alzheimer’s disease detection
Hadeer A. Helaly, Mahmoud Badawy, Amira Y. Haikal
Neural Computing and Applications (2021) Vol. 34, Iss. 2, pp. 1047-1063
Closed Access | Times Cited: 47
N6-Methyladenosine Induced miR-34a-5p Promotes TNF-α-Induced Nucleus Pulposus Cell Senescence by Targeting SIRT1
Hao‐Jie Zhu, Bao Sun, Zhu Liang, et al.
Frontiers in Cell and Developmental Biology (2021) Vol. 9
Open Access | Times Cited: 43
A novel M-SegNet with global attention CNN architecture for automatic segmentation of brain MRI
Nagaraj Yamanakkanavar, Bumshik Lee
Computers in Biology and Medicine (2021) Vol. 136, pp. 104761-104761
Closed Access | Times Cited: 42
Diagnosis and classification of Alzheimer's disease by using a convolution neural network algorithm
Mosleh Hmoud Al-Adhaileh
Soft Computing (2022) Vol. 26, Iss. 16, pp. 7751-7762
Open Access | Times Cited: 30
Advance Convolutional Network Architecture for MRI Data Investigation for Alzheimer's Disease Early Diagnosis
Nilanjana Pradhan, Shrddha Sagar, T. Jagadesh
SN Computer Science (2024) Vol. 5, Iss. 1
Closed Access | Times Cited: 7
Brain tumor segmentation with missing MRI modalities using edge aware discriminative feature fusion based transformer U-net
B. Jagadeesh, G. Anand Kumar
Applied Soft Computing (2024) Vol. 161, pp. 111709-111709
Closed Access | Times Cited: 6
Integrating imaging and genetic data via wavelet transform-based CNN for Alzheimer ’s disease classification
Jinwang Feng, Mingfeng Jiang, Haowen Zhang, et al.
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107583-107583
Closed Access
Using Deep Learning to Classify and Diagnose Alzheimer's Disease
A. V. Sriharsha
(2025), pp. 413-428
Closed Access
Brain anatomy prior modeling to forecast clinical progression of cognitive impairment with structural MRI
Lintao Zhang, Jinjian Wu, Lihong Wang, et al.
Pattern Recognition (2025), pp. 111603-111603
Closed Access
Radiomics Analysis of Magnetic Resonance Imaging Facilitates the Identification of Preclinical Alzheimer’s Disease: An Exploratory Study
Taoran Li, Yue Wu, Juanjuan Jiang, et al.
Frontiers in Cell and Developmental Biology (2020) Vol. 8
Open Access | Times Cited: 39
MF2-Net: A multipath feature fusion network for medical image segmentation
Nagaraj Yamanakkanavar, Bumshik Lee
Engineering Applications of Artificial Intelligence (2022) Vol. 114, pp. 105004-105004
Closed Access | Times Cited: 25
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