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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:

Medical Image Classification Using Transfer Learning and Chaos Game Optimization on the Internet of Medical Things
Alhassan Mabrouk, Abdelghani Dahou, Mohamed Abd Elaziz, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-22
Open Access | Times Cited: 22

Showing 22 citing articles:

Advances in nature-inspired metaheuristic optimization for feature selection problem: A comprehensive survey
Maha Nssibi, Ghaith Manita, Ouajdi Korbaa
Computer Science Review (2023) Vol. 49, pp. 100559-100559
Closed Access | Times Cited: 74
CGO-ensemble: Chaos game optimization algorithm-based fusion of deep neural networks for accurate Mpox detection
Sohaib Asif, Ming Zhao, Yangfan Li, et al.
Neural Networks (2024) Vol. 173, pp. 106183-106183
Closed Access | Times Cited: 14
An Efficient Artificial Rabbits Optimization Based on Mutation Strategy For Skin Cancer Prediction
Mohamed Abd Elaziz, Abdelghani Dahou, Alhassan Mabrouk, et al.
Computers in Biology and Medicine (2023) Vol. 163, pp. 107154-107154
Closed Access | Times Cited: 32
Optimal Skin Cancer Detection Model Using Transfer Learning and Dynamic-Opposite Hunger Games Search
Abdelghani Dahou, Ahmad O. Aseeri, Alhassan Mabrouk, et al.
Diagnostics (2023) Vol. 13, Iss. 9, pp. 1579-1579
Open Access | Times Cited: 27
LeafSpotNet: A deep learning framework for detecting leaf spot disease in jasmine plants
V. Shwetha, Arnav Bhagwat, Vijaya Laxmi
Artificial Intelligence in Agriculture (2024) Vol. 12, pp. 1-18
Open Access | Times Cited: 7
A multi-objective Chaos Game Optimization algorithm based on decomposition and random learning mechanisms for numerical optimization
Salma Yacoubi, Ghaith Manita, Amit Chhabra, et al.
Applied Soft Computing (2023) Vol. 144, pp. 110525-110525
Closed Access | Times Cited: 19
Risk-based evaluation of machine learning-based classification methods used for medical devices
Martin Haimerl, Christoph Reich
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access
Transfer Learning for Cancer Diagnosis in Medical Images: A Compendious Study
Navreet Kaur, Rahul Hans
International Journal of Computational Intelligence Systems (2025) Vol. 18, Iss. 1
Open Access
Medical Image Classifications for 6G IoT-Enabled Smart Health Systems
Mohamed Abd Elaziz, Abdelghani Dahou, Alhassan Mabrouk, et al.
Diagnostics (2023) Vol. 13, Iss. 5, pp. 834-834
Open Access | Times Cited: 15
A social media event detection framework based on transformers and swarm optimization for public notification of crises and emergency management
Abdelghani Dahou, Alhassan Mabrouk, Ahmed A. Ewees, et al.
Technological Forecasting and Social Change (2023) Vol. 192, pp. 122546-122546
Closed Access | Times Cited: 15
Chaos Game Optimization: A comprehensive study of its variants, applications, and future directions
Raja Oueslati, Ghaith Manita, Amit Chhabra, et al.
Computer Science Review (2024) Vol. 53, pp. 100647-100647
Closed Access | Times Cited: 4
Ensemble Federated Learning: An approach for collaborative pneumonia diagnosis
Alhassan Mabrouk, Rebeca P. Dı́az Redondo, Mohamed Abd Elaziz, et al.
Applied Soft Computing (2023) Vol. 144, pp. 110500-110500
Open Access | Times Cited: 11
A Novel Wrapper-Based Optimization Algorithm for the Feature Selection and Classification
Noureen Talpur, Said Jadid Abdulkadir, Mohd Hilmi Hasan, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 74, Iss. 3, pp. 5799-5820
Open Access | Times Cited: 10
Medical image Classification using Transfer Learning: Convolutional Neural Network Models approach
Zobeda Hatif Naji Al-azzwi
Deleted Journal (2024) Vol. 20, Iss. 6s, pp. 2561-2569
Open Access | Times Cited: 1
Novel Framework for Alzheimer Early Diagnosis using Inductive Transfer Learning Techniques
Himanshu Kumar Sahu, Santosh Kumar, Saeed Hamood Alsamhi, et al.
(2022), pp. 1-7
Closed Access | Times Cited: 7
Enhancing Acute Ischemic Stroke Diagnosis Using IoMT and Deep Learning Technologies
Mohamed M. El-Sheikh, Aya Bayoumy, Nada Ahmed, et al.
2022 International Telecommunications Conference (ITC-Egypt) (2024), pp. 313-319
Closed Access
Mitigating Algorithmic Bias in AI-Driven Cardiovascular Imaging for Fairer Diagnostics
Md Abu Sufian, Lujain Alsadder, Wahiba Hamzi, et al.
Diagnostics (2024) Vol. 14, Iss. 23, pp. 2675-2675
Open Access
The accuracy of deep learning models for diagnosing maxillary fungal ball rhinosinusitis
Pakapoom Sukswai, Narit Hnoohom, Minh P. Hoang, et al.
European Archives of Oto-Rhino-Laryngology (2024)
Closed Access
Improved transfer learning using textural features conflation and dynamically fine-tuned layers
Raphael Ngigi Wanjiku, Lawrence Nderu, Michael Kimwele
PeerJ Computer Science (2023) Vol. 9, pp. e1601-e1601
Open Access | Times Cited: 1
Peer Review #1 of "Improved transfer learning using textural features conflation and dynamically fine-tuned layers (v0.2)"

(2023)
Open Access
Peer Review #3 of "Improved transfer learning using textural features conflation and dynamically fine-tuned layers (v0.1)"

(2023)
Open Access
Peer Review #2 of "Improved transfer learning using textural features conflation and dynamically fine-tuned layers (v0.1)"
Shivakumar Viswanathan
(2023)
Open Access
Peer Review #1 of "Improved transfer learning using textural features conflation and dynamically fine-tuned layers (v0.1)"

(2023)
Open Access
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