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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:

A deep feature fusion network with global context and cross-dimensional dependencies for classification of mild cognitive impairment from brain MRI
T. Illakiya, R. Karthik
Image and Vision Computing (2024) Vol. 144, pp. 104967-104967
Closed Access | Times Cited: 11

Showing 11 citing articles:

Advancing early diagnosis of Alzheimer’s disease with next-generation deep learning methods
Cüneyt Özdemir, Yahya Doğan
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106614-106614
Closed Access | Times Cited: 7
Enhancing Alzheimer’s disease diagnosis and staging: a multistage CNN framework using MRI
Muhammad Umair Ali, Kwang Su Kim, Majdi Khalid, et al.
Frontiers in Psychiatry (2024) Vol. 15
Open Access | Times Cited: 4
Early progression detection from MCI to AD using multi-view MRI for enhanced assisted living
Nasir Rahim, Naveed Ahmad, Waseem Ullah, et al.
Image and Vision Computing (2025), pp. 105491-105491
Closed Access
Zero-Watermarking of Medical Images Based on Improved Lightweight Neural Network MobileNetV3
Qiuni Li, Wen Zhang, Shangqing Liu, et al.
Circuits Systems and Signal Processing (2025)
Closed Access
Food Freshness Prediction Platform Utilizing Deep Learning-Based Multimodal Sensor Fusion of Volatile Organic Compounds and Moisture Distribution
Zepeng Gu, Qinyan Xu, Xiaoyao Wang, et al.
ACS Sensors (2025)
Closed Access
DeepNet: Protection of deepfake images with aid of deep learning networks
Divyanshu Awasthi, Priyank Khare, Vinay Kumar Srivastava, et al.
Image and Vision Computing (2025), pp. 105540-105540
Closed Access
Detection of Alzheimer’s disease using pre-trained deep learning models through transfer learning: a review
Maleika Heenaye-Mamode Khan, Pushtika Reesaul, Muhammad Muzzammil Auzine, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 10
Open Access | Times Cited: 2
Applications of deep learning in Alzheimer’s disease: a systematic literature review of current trends, methodologies, challenges, innovations, and future directions
Shiva Toumaj, Arash Heidari, Reza Shahhosseini, et al.
Artificial Intelligence Review (2024) Vol. 58, Iss. 2
Open Access | Times Cited: 2
3-Way hybrid analysis using clinical and magnetic resonance imaging for early diagnosis of Alzheimer’s disease
Farhatullah, Xin Chen, Deze Zeng, et al.
Brain Research (2024) Vol. 1840, pp. 149021-149021
Closed Access | Times Cited: 1
Alzheimer’s disease multiclass detection through deep learning models and post-processing heuristics
Rani Ghassan Al Rahbani, Anastasia Ioannou, Tao Wang
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2024) Vol. 12, Iss. 1
Open Access
Alzheimer’s disease classification based on brain region-to-sample graph convolutional network
Zhi Yang, Wenya Liu, Haitao Gan, et al.
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106589-106589
Closed Access
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