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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:

The Role of Machine Learning and Deep Learning Approaches for the Detection of Skin Cancer
Tehseen Mazhar, Inayatul Haq, Allah Ditta, et al.
Healthcare (2023) Vol. 11, Iss. 3, pp. 415-415
Open Access | Times Cited: 65

Showing 1-25 of 65 citing articles:

DeepSkin: A Deep Learning Approach for Skin Cancer Classification
H L Gururaj, N. Manju, A. Venkata Nagarjun, et al.
IEEE Access (2023) Vol. 11, pp. 50205-50214
Open Access | Times Cited: 54
MSRNet: Multiclass Skin Lesion Recognition Using Additional Residual Block Based Fine-Tuned Deep Models Information Fusion and Best Feature Selection
Sobia Bibi, Muhammad Attique Khan, Jamal Hussain Shah, et al.
Diagnostics (2023) Vol. 13, Iss. 19, pp. 3063-3063
Open Access | Times Cited: 42
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
Performance evaluation of E-VGG19 model: Enhancing real-time skin cancer detection and classification
Irfan Ali Kandhro, Selvakumar Manickam, Kanwal Fatima, et al.
Heliyon (2024) Vol. 10, Iss. 10, pp. e31488-e31488
Open Access | Times Cited: 15
A novel CNN-ViT-based deep learning model for early skin cancer diagnosis
İshak Paçal, B. Özdemir, Javanshir Zeynalov, et al.
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107627-107627
Closed Access | Times Cited: 1
Optimized machine learning enabled intrusion detection 2 system for internet of medical things
Zhenyang Sun, Gangyi An, Yixuan Yang, et al.
Franklin Open (2023) Vol. 6, pp. 100056-100056
Open Access | Times Cited: 23
Skin Lesion Classification and Detection Using Machine Learning Techniques: A Systematic Review
Taye Girma Debelee
Diagnostics (2023) Vol. 13, Iss. 19, pp. 3147-3147
Open Access | Times Cited: 22
Diagnosing Melanomas in Dermoscopy Images Using Deep Learning
Ghadah Alwakid, Walaa Gouda, Mamoona Humayun, et al.
Diagnostics (2023) Vol. 13, Iss. 10, pp. 1815-1815
Open Access | Times Cited: 21
An Extensive Investigation into the Use of Machine Learning Tools and Deep Neural Networks for the Recognition of Skin Cancer: Challenges, Future Directions, and a Comprehensive Review
Syed Ibrar Hussain, Elena Toscano
Symmetry (2024) Vol. 16, Iss. 3, pp. 366-366
Open Access | Times Cited: 9
A novel Deeplabv3+ and vision-based transformer model for segmentation and classification of skin lesions
Iqra Ahmad, Javeria Amin, M. Ikram Ullah Lali, et al.
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 106084-106084
Closed Access | Times Cited: 8
A hybrid CNN with transfer learning for skin cancer disease detection
Man Mohan Shukla, B. K. Tripathi, Tanay Dwivedi, et al.
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 10, pp. 3057-3071
Closed Access | Times Cited: 7
Deep Learning in Diagnosis of Dental Anomalies and Diseases: A Systematic Review
Esra Sivari, Güler Burcu SENİRKENTLİ, Erkan Bostancı, et al.
Diagnostics (2023) Vol. 13, Iss. 15, pp. 2512-2512
Open Access | Times Cited: 20
Amomum subulatum: A treasure trove of anti-cancer compounds targeting TP53 protein using in vitro and in silico techniques
Sadaqat Ali, Asifa Noreen, Adeem Qamar, et al.
Frontiers in Chemistry (2023) Vol. 11
Open Access | Times Cited: 17
An Improved Skin Lesion Classification Using a Hybrid Approach with Active Contour Snake Model and Lightweight Attention-Guided Capsule Networks
Kavita Behara, Ernest Bhero, John T. Agee
Diagnostics (2024) Vol. 14, Iss. 6, pp. 636-636
Open Access | Times Cited: 5
A model for skin cancer using combination of ensemble learning and deep learning
Mehdi Hosseinzadeh, Dildar Hussain, Firas Muhammad Zeki Mahmood, et al.
PLoS ONE (2024) Vol. 19, Iss. 5, pp. e0301275-e0301275
Open Access | Times Cited: 5
SkinNet-14: a deep learning framework for accurate skin cancer classification using low-resolution dermoscopy images with optimized training time
Abdullah Al Mahmud, Sami Azam, Inam Ullah Khan, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 30, pp. 18935-18959
Open Access | Times Cited: 5
A skin lesion segmentation network with edge and body fusion
Qisen Ma, Wang Gao, Yiyang Li, et al.
Applied Soft Computing (2025), pp. 112683-112683
Closed Access
Intelligent strategy for severity scoring of skin diseases based on clinical decision-making thinking with lesion-aware transformer
Kai Huang, Kai Sun, Jiayi Li, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 4
Open Access
Proteoglycan-degrading enzymes engineered for enhanced tumor microenvironment interaction in renal cell carcinoma
Lingling Dong, Xiaoli Zhang, Xiaopeng Yu, et al.
International Journal of Biological Macromolecules (2025), pp. 140440-140440
Closed Access
In-Silico Analysis of Genetic Mutations in BRAF and PMS2 for Biomarker Discovery to Transform Colorectal Cancer Research
Nusrat Jahan, Aziz Arshad, Sami Ullah, et al.
Indus journal of bioscience research. (2025) Vol. 3, Iss. 2, pp. 143-156
Closed Access
An Advanced Deep Learning Framework for Skin Cancer Classification
Muhammad Amir Khan, Muhammad Danish Ali, Tehseen Mazhar, et al.
The Review of Socionetwork Strategies (2025)
Closed Access
A Bibliometric Review of Deep Learning Approaches in Skin Cancer Research
Catur Supriyanto, Abu Salam, Junta Zeniarja, et al.
Computation (2025) Vol. 13, Iss. 3, pp. 78-78
Open Access
CAD-Skin: A Hybrid Convolutional Neural Network–Autoencoder Framework for Precise Detection and Classification of Skin Lesions and Cancer
Abdullah Aman Khan, Muhammad Zaheer Sajid, Nauman Ali Khan, et al.
Bioengineering (2025) Vol. 12, Iss. 4, pp. 326-326
Open Access
Enhancing Melanoma Skin Cancer Detection with Machine Learning and Image Processing Techniques
Sajjad Hussain, B. V. Prasanthi, Narasimha Rao Kandula, et al.
Communications in computer and information science (2024), pp. 256-272
Closed Access | Times Cited: 4
Lumpy skin disease diagnosis in cattle: A deep learning approach optimized with RMSProp and MobileNetV2
Sheikh Muhammad Saqib, Muhammad Iqbal, Mohamed Tahar Ben Othman, et al.
PLoS ONE (2024) Vol. 19, Iss. 8, pp. e0302862-e0302862
Open Access | Times Cited: 4
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