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:

DSCC_Net: Multi-Classification Deep Learning Models for Diagnosing of Skin Cancer Using Dermoscopic Images
Maryam Tahir, Ahmad Naeem, Hassaan Malik, et al.
Cancers (2023) Vol. 15, Iss. 7, pp. 2179-2179
Open Access | Times Cited: 97

Showing 1-25 of 97 citing articles:

A deep neural network using modified EfficientNet for skin cancer detection in dermoscopic images
Vipin Venugopal, Navin Infant Raj, Malaya Kumar Nath, et al.
Decision Analytics Journal (2023) Vol. 8, pp. 100278-100278
Open Access | Times Cited: 46

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: 41

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

DVFNet: A deep feature fusion-based model for the multiclassification of skin cancer utilizing dermoscopy images
Ahmad Naeem, Tayyaba Anees
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0297667-e0297667
Open Access | Times Cited: 20

Skin Cancer Segmentation and Classification Using Vision Transformer for Automatic Analysis in Dermatoscopy-Based Noninvasive Digital System
Galib Muhammad Shahriar Himel, Md. Masudul Islam, Kh. Abdullah Al-Aff, et al.
International Journal of Biomedical Imaging (2024) Vol. 2024, pp. 1-18
Open Access | Times Cited: 15

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: 14

SBXception: A Shallower and Broader Xception Architecture for Efficient Classification of Skin Lesions
Abid Mehmood, Yonis Gulzar, Qazi Mudassar Ilyas, et al.
Cancers (2023) Vol. 15, Iss. 14, pp. 3604-3604
Open Access | Times Cited: 33

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

Fine-tuning pre-trained neural networks for medical image classification in small clinical datasets
Newton Spolaôr, Huei Lee, Ana Isabel Mendes, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 9, pp. 27305-27329
Closed Access | Times Cited: 15

Federated and Transfer Learning Methods for the Classification of Melanoma and Nonmelanoma Skin Cancers: A Prospective Study
Shafia Riaz, Ahmad Naeem, Hassaan Malik, et al.
Sensors (2023) Vol. 23, Iss. 20, pp. 8457-8457
Open Access | Times Cited: 15

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 hybrid Grasshopper optimization algorithm for skin lesion segmentation and melanoma classification using deep learning
Puneet Thapar, Manik Rakhra, Mahmood Alsaadi, et al.
Healthcare Analytics (2024) Vol. 5, pp. 100326-100326
Open Access | Times Cited: 5

Deep Neural Networks for Skin Cancer Classification: Analysis of Melanoma Cancer Data
Stephen Afrifa, V. Vijayakumar, Peter Appiahene, et al.
Journal of Advances in Information Technology (2025) Vol. 16, Iss. 1, pp. 1-11
Open Access

Case Study: The Classification of the Rooms in Holiday Homes with Deep Learning
Mevlüt Kağan Balga, Fatih Başçiftçi
Advances in Hospitality and Tourism Research (AHTR) (2025)
Open Access

Towards unbiased skin cancer classification using deep feature fusion
Ali Atshan Abdulredah, Mohammed A. Fadhel, Laith Alzubaidi, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access

Multi-Skin disease classification using hybrid deep learning model
K. Jeyageetha, K. Vijayalakshmi, S. Suresh, et al.
Technology and Health Care (2025)
Open Access

Integration of remote sensing and machine learning algorithm for agricultural drought early warning over Genale Dawa river basin, Ethiopia
Mikhael G. Alemu, Fasikaw A. Zimale
Environmental Monitoring and Assessment (2025) Vol. 197, Iss. 3
Closed Access

An Efficient Lightweight Multi Head Attention Gannet Convolutional Neural Network Based Mammograms Classification
Ramkumar Muthukrishnan, A. Balasubramaniam, V. KRISHNASAMY, et al.
International Journal of Medical Robotics and Computer Assisted Surgery (2025) Vol. 21, Iss. 1
Closed Access

Enhancing Skin Cancer Diagnosis Through Fine‐Tuning of Pretrained Models: A Two‐Phase Transfer Learning Approach
Entesar Hamed I. Eliwa
International Journal of Breast Cancer (2025) Vol. 2025, Iss. 1
Open Access

Next-generation approach to skin disorder prediction employing hybrid deep transfer learning
Yonis Gulzar, Shivani Agarwal, Arjumand Bano Soomro, et al.
Frontiers in Big Data (2025) Vol. 8
Open Access

Fast Real-Time Monitor of Rice Grains Infested with Sitophilus Oryzae Based on Terahertz Imaging Combined with Machine Learning
Jingxiao Yu, Hongbin Pu, Da‐Wen Sun
Food Control (2025), pp. 111290-111290
Closed Access

A Novel Framework of IoT-Based Multi-Disease Monitoring System Using Heuristic Improvement of Adaptive Dilated and Attention-Based Deep Learning Approaches
Manoj Nainwal, Y. Madhu Sudhana Reddy, Amol Dattatray Dhaygude, et al.
Cybernetics & Systems (2025), pp. 1-46
Closed Access

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