OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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

Showing 20 citing articles:

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

A robust deep learning framework for multiclass skin cancer classification
Burhanettin Özdemir, İshak Paçal
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1

A Computing Framework for Transfer Learning and Ensemble Classification of Surface Patterns
Akepati Sankar Reddy, M. P. Gopinath
Journal of Machine and Computing (2025), pp. 140-153
Closed Access

Minimal sourced and lightweight federated transfer learning models for skin cancer detection
Vikas Khullar, Prabhjot Kaur, Shubham Gargrish, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
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

Cilt Kanseri Tanısı için Farklı Evrişimsel Sinir Ağı Modellerinin Karşılaştırılması
İbrahim Aruk, Ahmet Nusret Toprak
Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi (2025) Vol. 15, Iss. 1, pp. 25-38
Closed Access

A fuzzy rank-based deep ensemble methodology for multi-class skin cancer classification
Arindam Halder, A Dalal, S. Gharami, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

A Fine-Tuned EfficientNet-B1 Framework for Multiclass Skin Cancer Classification
Sameer Ali Khan, M. Chandana, Bandi Rupa Sravya, et al.
(2025), pp. 341-357
Closed Access

Enhancing Dermatological Diagnostics with EfficientNet: A Deep Learning Approach
Ionela Manole, Alexandra‐Irina Butacu, Raluca Nicoleta Bejan, et al.
Bioengineering (2024) Vol. 11, Iss. 8, pp. 810-810
Open Access | Times Cited: 2

Automating cancer diagnosis using advanced deep learning techniques for multi-cancer image classification
Yogesh Kumar, Supriya Shrivastav, Kinny Garg, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2

A Review on Skin Melanoma Classification using different ML and DL Models
Viranchkumar Mayurbhai Kadia, Sheshang Degadwala
International Journal of Scientific Research in Computer Science Engineering and Information Technology (2024) Vol. 10, Iss. 3, pp. 424-435
Open Access

Multiresolution Evaluation of Contourlet Transform for the Diagnosis of Skin Cancer
Abdul Razak Mohamed Sikkander, V. Vidya Lakshmi, G. Theivanathan, et al.
Research Square (Research Square) (2024)
Open Access

RvXmBlendNet: A Multi-architecture Hybrid Model for Improved Skin Cancer Detection
Farida Siddiqi Prity, Ahmed Jabid Hasan, Md Mehedi Hassan Anik, et al.
Human-Centric Intelligent Systems (2024)
Open Access

CAD-PsorNet: deep transfer learning for computer-assisted diagnosis of skin psoriasis
Chandan Chakraborty, Unmesh Achar, Sumit Nayek, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

Exploring vision transformers and XGBoost as deep learning ensembles for transforming carcinoma recognition
Akella S. Narasimha Raju, K. Venkatesh, B. Padmaja, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

Decoding skin cancer classification: perspectives, insights, and advances through researchers’ lens
Amartya Ray, Sujan Sarkar, Friedhelm Schwenker, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

Page 1

Scroll to top