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:

Early Diagnosis of Brain Tumour MRI Images Using Hybrid Techniques between Deep and Machine Learning
Ebrahim Mohammed Senan, Mukti E. Jadhav, Taha H. Rassem, et al.
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-17
Open Access | Times Cited: 112

Showing 1-25 of 112 citing articles:

Artificial intelligence assists precision medicine in cancer treatment
Jinzhuang Liao, M Kellis, Yu Gan, et al.
Frontiers in Oncology (2023) Vol. 12
Open Access | Times Cited: 96

Optimizing epileptic seizure recognition performance with feature scaling and dropout layers
Ahmed Omar, Tarek Abd El‐Hafeez
Neural Computing and Applications (2023) Vol. 36, Iss. 6, pp. 2835-2852
Open Access | Times Cited: 67

AI Techniques of Dermoscopy Image Analysis for the Early Detection of Skin Lesions Based on Combined CNN Features
Fekry Olayah, Ebrahim Mohammed Senan, Ibrahim Abdulrab Ahmed, et al.
Diagnostics (2023) Vol. 13, Iss. 7, pp. 1314-1314
Open Access | Times Cited: 51

PatchResNet: Multiple Patch Division–Based Deep Feature Fusion Framework for Brain Tumor Classification Using MRI Images
Taha Muezzinoglu, Nursena Bayğın, Ilknur Tuncer, et al.
Journal of Digital Imaging (2023) Vol. 36, Iss. 3, pp. 973-987
Closed Access | Times Cited: 48

Optimized Brain Tumor Detection: A Dual-Module Approach for MRI Image Enhancement and Tumor Classification
Abdullah A. Asiri, Toufique Ahmed Soomro, Ahmed Ali, et al.
IEEE Access (2024) Vol. 12, pp. 42868-42887
Open Access | Times Cited: 18

Emerging Wearable Acoustic Sensing Technologies
Tao Liu, Y. J. Mao, Hanjie Dou, et al.
Advanced Science (2025)
Open Access | Times Cited: 1

Ensemble deep learning for brain tumor detection
Shtwai Alsubai, Habib Ullah Khan, Abdullah Alqahtani, et al.
Frontiers in Computational Neuroscience (2022) Vol. 16
Open Access | Times Cited: 58

Deep and Hybrid Learning Technique for Early Detection of Tuberculosis Based on X-ray Images Using Feature Fusion
Suliman Mohamed Fati, Ebrahim Mohammed Senan, Narmine ElHakim
Applied Sciences (2022) Vol. 12, Iss. 14, pp. 7092-7092
Open Access | Times Cited: 45

Automatic and Early Detection of Parkinson’s Disease by Analyzing Acoustic Signals Using Classification Algorithms Based on Recursive Feature Elimination Method
Khaled M. Alalayah, Ebrahim Mohammed Senan, Hany F. Atlam, et al.
Diagnostics (2023) Vol. 13, Iss. 11, pp. 1924-1924
Open Access | Times Cited: 37

Deep Learning Unveils Hidden Insights: Advancing Brain Tumor Diagnosis
Priyanka Kaushik
International Journal for Global Academic & Scientific Research (2023) Vol. 2, Iss. 2, pp. 01-22
Open Access | Times Cited: 35

An Augmented Modulated Deep Learning Based Intelligent Predictive Model for Brain Tumor Detection Using GAN Ensemble
Saswati Sahoo, Sushruta Mishra, Baidyanath Panda, et al.
Sensors (2023) Vol. 23, Iss. 15, pp. 6930-6930
Open Access | Times Cited: 35

Histopathological Analysis for Detecting Lung and Colon Cancer Malignancies Using Hybrid Systems with Fused Features
Mohammed Al-Jabbar, Mohammed Alshahrani, Ebrahim Mohammed Senan, et al.
Bioengineering (2023) Vol. 10, Iss. 3, pp. 383-383
Open Access | Times Cited: 30

Automatic Classification of Colour Fundus Images for Prediction Eye Disease Types Based on Hybrid Features
Ahlam Shamsan, Ebrahim Mohammed Senan, Hamzeh Salameh Ahmad Shatnawi
Diagnostics (2023) Vol. 13, Iss. 10, pp. 1706-1706
Open Access | Times Cited: 28

Combining CNN Features with Voting Classifiers for Optimizing Performance of Brain Tumor Classification
Nazik Alturki, Muhammad Umer, Abid Ishaq, et al.
Cancers (2023) Vol. 15, Iss. 6, pp. 1767-1767
Open Access | Times Cited: 27

Hybrid Techniques for the Diagnosis of Acute Lymphoblastic Leukemia Based on Fusion of CNN Features
Ibrahim Abdulrab Ahmed, Ebrahim Mohammed Senan, Hamzeh Salameh Ahmad Shatnawi, et al.
Diagnostics (2023) Vol. 13, Iss. 6, pp. 1026-1026
Open Access | Times Cited: 24

Multi-Techniques for Analyzing X-ray Images for Early Detection and Differentiation of Pneumonia and Tuberculosis Based on Hybrid Features
Ibrahim Abdulrab Ahmed, Ebrahim Mohammed Senan, Hamzeh Salameh Ahmad Shatnawi, et al.
Diagnostics (2023) Vol. 13, Iss. 4, pp. 814-814
Open Access | Times Cited: 22

Hybrid Techniques of Analyzing MRI Images for Early Diagnosis of Brain Tumours Based on Hybrid Features
Badiea Abdulkarem Mohammed, Ebrahim Mohammed Senan, Talal Alshammari, et al.
Processes (2023) Vol. 11, Iss. 1, pp. 212-212
Open Access | Times Cited: 21

Brain Tumor MRI Classification Using a Novel Deep Residual and Regional CNN
Mirza Mumtaz Zahoor, Saddam Hussain Khan, Tahani Jaser Alahmadi, et al.
Biomedicines (2024) Vol. 12, Iss. 7, pp. 1395-1395
Open Access | Times Cited: 12

Integrated approach of federated learning with transfer learning for classification and diagnosis of brain tumor
Eid Albalawi, T R Mahesh, Arastu Thakur, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 11

Enhancing image classification using adaptive convolutional autoencoder-based snow avalanches algorithm
E. Dhiravidachelvi, T. Joshva Devadas, P. Sathish Kumar, et al.
Signal Image and Video Processing (2024) Vol. 18, Iss. 10, pp. 6867-6879
Closed Access | Times Cited: 10

Improved Brain Tumor Segmentation and Classification in Brain MRI with FCM-SVM: A Diagnostic Approach
Samar M. Alqhtani, Toufique Ahmed Soomro, Ahmed Ali, et al.
IEEE Access (2024) Vol. 12, pp. 61312-61335
Open Access | Times Cited: 8

Enhanced Cardiovascular Disease Prediction Modelling using Machine Learning Techniques: A Focus on CardioVitalnet
Chukwuebuka Joseph Ejiyi, Zhen Qin, Grace Ugochi Nneji, et al.
Network Computation in Neural Systems (2024), pp. 1-33
Closed Access | Times Cited: 7

Early Diagnosis of Oral Squamous Cell Carcinoma Based on Histopathological Images Using Deep and Hybrid Learning Approaches
Suliman Mohamed Fati, Ebrahim Mohammed Senan, Yasir Javed
Diagnostics (2022) Vol. 12, Iss. 8, pp. 1899-1899
Open Access | Times Cited: 34

Multi-Method Diagnosis of CT Images for Rapid Detection of Intracranial Hemorrhages Based on Deep and Hybrid Learning
Badiea Abdulkarem Mohammed, Ebrahim Mohammed Senan, Zeyad Ghaleb Al-Mekhlafi, et al.
Electronics (2022) Vol. 11, Iss. 15, pp. 2460-2460
Open Access | Times Cited: 28

Effective Early Detection of Epileptic Seizures through EEG Signals Using Classification Algorithms Based on t-Distributed Stochastic Neighbor Embedding and K-Means
Khaled M. Alalayah, Ebrahim Mohammed Senan, Hany F. Atlam, et al.
Diagnostics (2023) Vol. 13, Iss. 11, pp. 1957-1957
Open Access | Times Cited: 17

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