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:

Integrating convolutional neural networks, kNN, and Bayesian optimization for efficient diagnosis of Alzheimer's disease in magnetic resonance images
Salim Lahmiri
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104375-104375
Closed Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Accurate Detection of Alzheimer’s Disease Using Lightweight Deep Learning Model on MRI Data
Ahmed A. Abd El‐Latif, Samia Allaoua Chelloug, Maali Alabdulhafith, et al.
Diagnostics (2023) Vol. 13, Iss. 7, pp. 1216-1216
Open Access | Times Cited: 47

Review on Alzheimer Disease Detection Methods: Automatic Pipelines and Machine Learning Techniques
Amar Shukla, Rajeev Tiwari, Shamik Tiwari
Sci (2023) Vol. 5, Iss. 1, pp. 13-13
Open Access | Times Cited: 45

Alzheimer’s disease diagnosis from single and multimodal data using machine and deep learning models: Achievements and future directions
Ahmed Elazab, Changmiao Wang, M. Abdel-Aziz, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124780-124780
Closed Access | Times Cited: 15

Prediction of hydrogen solubility in aqueous solution using modified mixed effects random forest based on particle swarm optimization for underground hydrogen storage
Grant Charles Mwakipunda, Norga Alloyce Komba, Allou Koffi Franck Kouassi, et al.
International Journal of Hydrogen Energy (2024) Vol. 87, pp. 373-388
Closed Access | Times Cited: 11

Deep Learning for Alzheimer’s Disease Prediction: A Comprehensive Review
Isra Malik, Ahmed Iqbal, Yeong Hyeon Gu, et al.
Diagnostics (2024) Vol. 14, Iss. 12, pp. 1281-1281
Open Access | Times Cited: 7

A Novel Deep Learning Architecture Optimization for Multiclass Classification of Alzheimer’s Disease Level
Mahır Kaya, Yasemın Çetın-Kaya
IEEE Access (2024) Vol. 12, pp. 46562-46581
Open Access | Times Cited: 6

A Modified Bio-Inspired Optimizer with Capsule Network for Diagnosis of Alzheimer Disease
Praveena Ganesan, G. P. Ramesh, C. Puttamdappa, et al.
Applied Sciences (2024) Vol. 14, Iss. 15, pp. 6798-6798
Open Access | Times Cited: 5

Alzheimer’s Disease Detection via Multiscale Feature Modelling Using Improved Spatial Attention Guided Depth Separable CNN
Santosh Kumar Tripathy, Rudra Kalyan Nayak, Kartik Shankar Gadupa, et al.
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 4

Alzheimer’s disease diagnosis from MRI and SWI fused image using self adaptive differential evolutionary RVFL classifier
Tripti Goel, Shradha Verma, M. Tanveer, et al.
Information Fusion (2025), pp. 102917-102917
Closed Access

Optimizing ResNet50 Performance Using Stochastic Gradient Descent on MRI Images for Alzheimer's Disease Classification
Mohamed Amine Mahjoubi, Driss Lamrani, Shawki Saleh, et al.
Intelligence-Based Medicine (2025) Vol. 11, pp. 100219-100219
Open Access

Application of artificial intelligence in Alzheimer’s disease: a bibliometric analysis
Sijia Song, Tong Li, Wei Lin, et al.
Frontiers in Neuroscience (2025) Vol. 19
Open Access

An Effective and Fast Model for Characterization of Cardiac Arrhythmia and Congestive Heart Failure
Salim Lahmiri, Stelios Bekiros
Diagnostics (2025) Vol. 15, Iss. 7, pp. 849-849
Open Access

Multiple disease diagnoses using heterogeneous EHR curated knowledge graph and machine learning models
Shivani Dhiman, Anjali Thukral, Punam Bedi
Applied Intelligence (2025) Vol. 55, Iss. 7
Closed Access

A novel discrete learning-based intelligent methodology for breast cancer classification purposes
Mehdi Khashei, Negar Bakhtiarvand
Artificial Intelligence in Medicine (2023) Vol. 139, pp. 102492-102492
Closed Access | Times Cited: 10

Fossil energy market price prediction by using machine learning with optimal hyper-parameters: A comparative study
Salim Lahmiri
Resources Policy (2024) Vol. 92, pp. 105008-105008
Closed Access | Times Cited: 3

A Network Intrusion Detection Method Based on Bagging Ensemble
Zichen Zhang, Shanshan Kong, T. D. Xiao, et al.
Symmetry (2024) Vol. 16, Iss. 7, pp. 850-850
Open Access | Times Cited: 3

Artificial multi-verse optimisation for predicting the effect of ideological and political theory course
Xingzhong Zhuang, Zhaodi Yi, Yuqing Wang, et al.
Heliyon (2024) Vol. 10, Iss. 9, pp. e29830-e29830
Open Access | Times Cited: 2

Testing the suitability of v-Support Vector Machine for hyperspectral image classification
Onuwa Okwuashi, Christopher E. Ndehedehe, Dupe Nihinlola Olayinka, et al.
International Journal of Image and Data Fusion (2024), pp. 1-14
Open Access | Times Cited: 2

Automated alzheimer's disease detection and diagnosis method based on Bayesian optimization and CNN-based pre-trained features
Meriem Saim, Amel Feroui
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1

FGI-CogViT: Fuzzy Granule-based Interpretable Cognitive Vision Transformer for Early Detection of Alzheimer’s Disease using MRI Scan Images
Anima Pramanik, Sudip K. Sarker, Sobhan Sarkar, et al.
Information Systems Frontiers (2024)
Closed Access | Times Cited: 1

Machine Learning-Driven GLCM Analysis of Structural MRI for Alzheimer’s Disease Diagnosis
M Oliveira, Pedro Ribeiro, Pedro Rodrigues
Bioengineering (2024) Vol. 11, Iss. 11, pp. 1153-1153
Open Access | Times Cited: 1

Optimizing Gene Selection and Cancer Classification with Hybrid Sine Cosine and Cuckoo Search Algorithm
Abrar Yaqoob, Navneet Kumar Verma, Rabia Musheer Aziz
Research Square (Research Square) (2023)
Open Access | Times Cited: 2

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