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:

Classification of Dermoscopy Images for Early Detection of Skin Cancer – A Review
Ebrahim Mohammed, Eki Yuni Madya Mukti
International Journal of Computer Applications (2019) Vol. 178, Iss. 17, pp. 37-43
Open Access | Times Cited: 16

Showing 16 citing articles:

Classification of Skin Cancer Using Novel Hyperspectral Imaging Engineering via YOLOv5
Hung‐Yi Huang, Yu‐Ping Hsiao, Arvind Mukundan, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 3, pp. 1134-1134
Open Access | Times Cited: 62

Deep Learning Algorithms for Detection and Classification of Gastrointestinal Diseases
Mosleh Hmoud Al-Adhaileh, Ebrahim Mohammed Senan, Fawaz Waselallah Alsaade, et al.
Complexity (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 61

Score and Correlation Coefficient-Based Feature Selection for Predicting Heart Failure Diagnosis by Using Machine Learning Algorithms
Ebrahim Mohammed Senan, Ibrahim Abunadi, Mukti E. Jadhav, et al.
Computational and Mathematical Methods in Medicine (2021) Vol. 2021, pp. 1-16
Open Access | Times Cited: 61

LinkNet-B7: Noise Removal and Lesion Segmentation in Images of Skin Cancer
Cihan AKYEL, Nursal Arıcı
Mathematics (2022) Vol. 10, Iss. 5, pp. 736-736
Open Access | Times Cited: 40

A Review of Recent Advances in Computer-Aided Detection Methods Using Hyperspectral Imaging Engineering to Detect Skin Cancer
Hung‐Yi Huang, Yu‐Ping Hsiao, Riya Karmakar, et al.
Cancers (2023) Vol. 15, Iss. 23, pp. 5634-5634
Open Access | Times Cited: 13

Employing Machine Learning and Data Analytics to Detect and Classify Skin Cancer
C. Deep Prakash, Raja Mazumder, Adyasha Dash, et al.
SSRN Electronic Journal (2025)
Closed Access

Skin cancer: Advances in diagnostic research
Vipul Prajapati, Salona Roy, Yogita Sahu, et al.
Elsevier eBooks (2025), pp. 165-190
Closed Access

The Role of Artificial Intelligence in Early Diagnosis and Molecular Classification of Head and Neck Skin Cancers: A Multidisciplinary Approach
Zeliha Merve Semerci, Havva Serap Toru, Esra Çobankent Aytekin, et al.
Diagnostics (2024) Vol. 14, Iss. 14, pp. 1477-1477
Open Access | Times Cited: 3

Melanoma classification using light-Fields with morlet scattering transform and CNN: Surface depth as a valuable tool to increase detection rate
Pedro M. M. Pereira, Lucas A. Thomaz, L. Tavora, et al.
Medical Image Analysis (2021) Vol. 75, pp. 102254-102254
Closed Access | Times Cited: 18

Hair Removal and Lesion Segmentation with FCN8-ResNetC and Image Processing in Images of Skin Cancer
Cihan AKYEL, Nursal Arıcı
Bilişim Teknolojileri Dergisi (2022) Vol. 15, Iss. 2, pp. 231-238
Open Access | Times Cited: 12

Image Texture Analysis for Medical Image Mining: A Comparative Study Direct to Osteoarthritis Classification using Knee X-ray Image
Sophal Chan, Kwankamon Dittakan, Matías García-Constantino
International Journal on Advanced Science Engineering and Information Technology (2020) Vol. 10, Iss. 6, pp. 2189-2199
Open Access | Times Cited: 7

Detection and Classification of Melanoma Skin Cancer Analysis
Bapu Chendage, Rajivkumar Mente, Sunil Pawar
International Journal of Scientific Research in Computer Science Engineering and Information Technology (2021), pp. 150-154
Open Access | Times Cited: 3

Skin Lesion Analysis - Feature Extraction Methods Using Dermoscopy Image
G Pavithra, C. Palanisamy, Shravanthi Rajasekar, et al.
Int. J. of Aquatic Science (2021) Vol. 12, Iss. 3, pp. 1821-1829
Closed Access | Times Cited: 1

A multi-level closing based segmentation framework for dermatoscopic images using ensemble deep network.
varun srivast, Shilpa Gupta, Ritik Singh, et al.
Research Square (Research Square) (2023)
Open Access

Skin lesion classification and Prediction by Data Augmentation in HAM10000 and ISIC 2019 dataset
V. Auxilia Osvin Nancy, Meenakshi S. Arya, P Prabahavathy, et al.
Research Square (Research Square) (2022)
Open Access

Skin lesion classification and Prediction by Data Augmentation in HAM10000 and ISIC 2019 dataset
V. Auxilia Osvin Nancy, Meenakshi S. Arya, P Prabahavathy, et al.
Research Square (Research Square) (2022)
Open Access

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