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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:

Hybrid‐NET: A fusion of DenseNet169 and advanced machine learning classifiers for enhanced brain tumor diagnosis
Saif Ur Rehman Khan, Ming Zhao, Sohaib Asif, et al.
International Journal of Imaging Systems and Technology (2023) Vol. 34, Iss. 1
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Deep hybrid model for Mpox disease diagnosis from skin lesion images
Saif Ur Rehman Khan, Sohaib Asif, Omair Bilal, et al.
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 2
Closed Access | Times Cited: 18
Enhancing ASD classification through hybrid attention-based learning of facial features
Inzamam Shahzad, Saif Ur Rehman Khan, Abbas Waseem, et al.
Signal Image and Video Processing (2024) Vol. 18, Iss. S1, pp. 475-488
Closed Access | Times Cited: 9
Has multimodal learning delivered universal intelligence in healthcare? A comprehensive survey
Qika Lin, Y. C. Zhu, Mei Xin, et al.
Information Fusion (2024), pp. 102795-102795
Open Access | Times Cited: 8
A comparative study of statistical, radiomics, and deep learning feature extraction techniques for medical image classification in optical and radiological modalities
Pegah Dehbozorgi, Oleg Ryabchykov, Thomas Bocklitz
Computers in Biology and Medicine (2025) Vol. 187, pp. 109768-109768
Open Access | Times Cited: 1
Visual Detection of Road Cracks for Autonomous Vehicles Based on Deep Learning
Ibrahim Meftah, Junping Hu, Mohammed A. Asham, et al.
Sensors (2024) Vol. 24, Iss. 5, pp. 1647-1647
Open Access | Times Cited: 6
Optimization of g-C3N4 synthesis parameters based on machine learning to predict the efficiency of photocatalytic hydrogen production
Veronika Yu. Yurova, K. O. Potapenko, Timur A. Aliev, et al.
International Journal of Hydrogen Energy (2024) Vol. 81, pp. 193-203
Closed Access | Times Cited: 5
Image classification for sub-surface crack identification in concrete dam based on borehole CCTV images using deep dense hybrid model
Qianwei Dai, Muhammad Ishfaque, Saif Ur Rehman Khan, et al.
Stochastic Environmental Research and Risk Assessment (2024)
Closed Access | Times Cited: 4
Deep evidential fusion with uncertainty quantification and reliability learning for multimodal medical image segmentation
Ling Huang, Su Ruan, Pierre Decazes, et al.
Information Fusion (2024) Vol. 113, pp. 102648-102648
Closed Access | Times Cited: 4
Comparative analysis of twelve transfer learning models for the prediction and crack detection in concrete dams, based on borehole images
Umer Sadiq Khan, Muhammad Ishfaque, Saif Ur Rehman Khan, et al.
Frontiers of Structural and Civil Engineering (2024)
Closed Access | Times Cited: 4
Decision-making in clinical diagnostic for brain tumor detection based on advanced machine ‎learning algorithm‎
Tangsen Huang, Xiangdong Yin, Ensong Jiang
International Journal for Simulation and Multidisciplinary Design Optimization (2025) Vol. 16, pp. 1-1
Open Access
Predicting Paediatric Brain Disorders from MRI Images Using Advanced Deep Learning Techniques
Yogesh Kumar, Priya Bhardwaj, Supriya Shrivastav, et al.
Neuroinformatics (2025) Vol. 23, Iss. 2
Closed Access
Enhanced brain tumor detection and segmentation using densely connected convolutional networks with stacking ensemble learning
Asadullah Shaikh, Samina Amin, Muhammad Ali Zeb, et al.
Computers in Biology and Medicine (2025) Vol. 186, pp. 109703-109703
Closed Access
Optimize brain tumor multiclass classification with manta ray foraging and improved residual block techniques
Saif Ur Rehman Khan, Sohaib Asif, Ming Zhao, et al.
Multimedia Systems (2025) Vol. 31, Iss. 1
Closed Access
FusionNet: Dual Input Feature Fusion Network with Ensemble Based Filter Feature Selection for Enhanced Brain Tumor Classification
Akash Verma, Arun Kumar Yadav
Brain Research (2025), pp. 149507-149507
Closed Access
Detection of MRI brain tumor using residual skip block based modified MobileNet model
Saif Ur Rehman Khan, Ming Zhao, Yangfan Li
Cluster Computing (2025) Vol. 28, Iss. 4
Closed Access
A multi-stage fusion deep learning framework merging local patterns with attention-driven contextual dependencies for cancer detection
Hatice Çatal Reis, Veysel Turk
Computers in Biology and Medicine (2025) Vol. 189, pp. 109916-109916
Closed Access
Dual-Stream Contrastive Latent Learning Generative Adversarial Network for Brain Image Synthesis and Tumor Classification
Junaid Zafar, Vincent Koc, Haroon Zafar
Journal of Imaging (2025) Vol. 11, Iss. 4, pp. 101-101
Open Access
Brain tumor classification: a blend of ensemble learning and fine-tuned pre-trained models
Soumyarashmi Panigrahi, Dibya Ranjan Das Adhikary, Binod Kumar Pattanayak
Deleted Journal (2025) Vol. 7, Iss. 4
Open Access
A fine-tuned convolutional neural network model for accurate Alzheimer’s disease classification
Muhammad Zahid Hussain, Tariq Shahzad, Shahid Mehmood, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Improving Brain Disease Classification Accuracy Using Ensemble Learning
Huong Hoang Luong
Lecture notes in computer science (2025), pp. 197-208
Closed Access
AI-Driven Precision Clothing Classification: Revolutionizing Online Fashion Retailing with Hybrid Two-Objective Learning
Abbas Waseem, Zuping Zhang, Muhammad Asim, et al.
Information (2024) Vol. 15, Iss. 4, pp. 196-196
Open Access | Times Cited: 3
Enhancing Breast Cancer Detection through Thermal Imaging and Customized 2D CNN Classifiers
Saif Ur Rehman Khan, Asif Raza, Muhammad Tanveer Meeran, et al.
VFAST Transactions on Software Engineering (2023) Vol. 11, Iss. 4, pp. 80-92
Open Access | Times Cited: 7
BrainCDNet: a concatenated deep neural network for the detection of brain tumors from MRI images
K. Rasool Reddy, Kandala N. V. P. S. Rajesh, Ravindra Dhuli, et al.
Frontiers in Human Neuroscience (2024) Vol. 18
Open Access | Times Cited: 2
ViT-CB: Integrating hybrid Vision Transformer and CatBoost to enhanced brain tumor detection with SHAP
Radius Tanone, Li-Hua Li, Shoffan Saifullah
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107027-107027
Closed Access | Times Cited: 2
Optimized deep learning model for comprehensive medical image analysis across multiple modalities
Saif Ur Rehman Khan, Sohaib Asif, Ming Zhao, et al.
Neurocomputing (2024) Vol. 619, pp. 129182-129182
Closed Access | Times Cited: 2
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