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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:

Deep Learning and Machine Learning Techniques of Diagnosis Dermoscopy Images for Early Detection of Skin Diseases
Ibrahim Abunadi, Ebrahim Mohammed Senan
Electronics (2021) Vol. 10, Iss. 24, pp. 3158-3158
Open Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

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
SCDNet: A Deep Learning-Based Framework for the Multiclassification of Skin Cancer Using Dermoscopy Images
Ahmad Naeem, Tayyaba Anees, Makhmoor Fiza, et al.
Sensors (2022) Vol. 22, Iss. 15, pp. 5652-5652
Open Access | Times Cited: 67
SNC_Net: Skin Cancer Detection by Integrating Handcrafted and Deep Learning-Based Features Using Dermoscopy Images
Ahmad Naeem, Tayyaba Anees, Mudassir Khalil, et al.
Mathematics (2024) Vol. 12, Iss. 7, pp. 1030-1030
Open Access | Times Cited: 28
Multi-Method Diagnosis of Blood Microscopic Sample for Early Detection of Acute Lymphoblastic Leukemia Based on Deep Learning and Hybrid Techniques
Ibrahim Abunadi, Ebrahim Mohammed Senan
Sensors (2022) Vol. 22, Iss. 4, pp. 1629-1629
Open Access | Times Cited: 59
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
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
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
Automatic Analysis of MRI Images for Early Prediction of Alzheimer’s Disease Stages Based on Hybrid Features of CNN and Handcrafted Features
Khalid Ahmed, Ebrahim Mohammed Senan, Khalil AL-Wagih, et al.
Diagnostics (2023) Vol. 13, Iss. 9, pp. 1654-1654
Open Access | Times Cited: 24
Artificial Intelligence in Cosmetic Dermatology: A Systematic Literature Review
Pat Vatiwutipong, Sirawich Vachmanus, Thanapon Noraset, et al.
IEEE Access (2023) Vol. 11, pp. 71407-71425
Open Access | Times Cited: 22
Skin Cancer Detection and Classification Using Neural Network Algorithms: A Systematic Review
Pamela Hermosilla, Ricardo Soto, Emanuel Vega, et al.
Diagnostics (2024) Vol. 14, Iss. 4, pp. 454-454
Open 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
A novel framework of multiclass skin lesion recognition from dermoscopic images using deep learning and explainable AI
Naveed Ahmad, Jamal Hussain Shah, Muhammad Attique Khan, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 19
State-of-the-art skin disease classification: a review of deep learning models
Oluwayemisi Jaiyeoba, Emeka Ogbuju, Grace Ataguba, et al.
Network Modeling Analysis in Health Informatics and Bioinformatics (2025) Vol. 14, Iss. 1
Closed Access
Geographical Origin Traceability of Navel Oranges Based on Near-Infrared Spectroscopy Combined with Deep Learning
Ting Li, Zhong Ren, Chunyan Zhao, et al.
Foods (2025) Vol. 14, Iss. 3, pp. 484-484
Open Access
HSCFNet: Lightweight Convolutional Neural Network for the Classification of Infectious and Non‐Infectious Skin Diseases
Xiangyu Deng, Y. H. Zheng
International Journal of Imaging Systems and Technology (2025) Vol. 35, Iss. 2
Closed Access
Multi-Method Diagnosis of Histopathological Images for Early Detection of Breast Cancer Based on Hybrid and Deep Learning
Mohammed Al-Jabbar, Mohammed Alshahrani, Ebrahim Mohammed Senan, et al.
Mathematics (2023) Vol. 11, Iss. 6, pp. 1429-1429
Open Access | Times Cited: 15
Hybrid Techniques of X-ray Analysis to Predict Knee Osteoarthritis Grades Based on Fusion Features of CNN and Handcrafted
Khalid Ahmed, Ebrahim Mohammed Senan, Khalil AL-Wagih, et al.
Diagnostics (2023) Vol. 13, Iss. 9, pp. 1609-1609
Open Access | Times Cited: 15
Reduction of overfitting on the highly imbalanced ISIC-2019 skin dataset using deep learning frameworks
Erapaneni Gayatri, S. L. Aarthy
Journal of X-Ray Science and Technology (2024) Vol. 32, Iss. 1, pp. 53-68
Closed Access | Times Cited: 4
Deep and hybrid learning of MRI diagnosis for early detection of the progression stages in Alzheimer’s disease
Ibrahim Abunadi
Connection Science (2022) Vol. 34, Iss. 1, pp. 2395-2430
Open Access | Times Cited: 19
An Analysis of Detection and Diagnosis of Different Classes of Skin Diseases Using Artificial Intelligence-Based Learning Approaches with Hyper Parameters
Jagandeep Singh, Jasminder Kaur Sandhu, Yogesh Kumar
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 2, pp. 1051-1078
Closed Access | Times Cited: 10
Diagnosis of Histopathological Images to Distinguish Types of Malignant Lymphomas Using Hybrid Techniques Based on Fusion Features
Zeyad Ghaleb Al-Mekhlafi, Ebrahim Mohammed Senan, Badiea Abdulkarem Mohammed, et al.
Electronics (2022) Vol. 11, Iss. 18, pp. 2865-2865
Open Access | Times Cited: 16
Analyzing Histological Images Using Hybrid Techniques for Early Detection of Multi-Class Breast Cancer Based on Fusion Features of CNN and Handcrafted
Mohammed Al-Jabbar, Mohammed Alshahrani, Ebrahim Mohammed Senan, et al.
Diagnostics (2023) Vol. 13, Iss. 10, pp. 1753-1753
Open Access | Times Cited: 10
Multi-Models of Analyzing Dermoscopy Images for Early Detection of Multi-Class Skin Lesions Based on Fused Features
Ibrahim Abdulrab Ahmed, Ebrahim Mohammed Senan, Hamzeh Salameh Ahmad Shatnawi, et al.
Processes (2023) Vol. 11, Iss. 3, pp. 910-910
Open Access | Times Cited: 9
Hybrid Techniques for Diagnosing Endoscopy Images for Early Detection of Gastrointestinal Disease Based on Fusion Features
Zeyad Ghaleb Al-Mekhlafi, Ebrahim Mohammed Senan, Jalawi Sulaiman Alshudukhi, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-20
Open Access | Times Cited: 9
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