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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:

Multi-Class Diagnosis of Skin Lesions Using the Fourier Spectral Information of Images on Additive Color Model by Artificial Neural Network
Josué Aarón López-Leyva, Esperanza Guerra-Rosas, Josué Álvarez-Borrego
IEEE Access (2021) Vol. 9, pp. 35207-35216
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

AI-Powered Diagnosis of Skin Cancer: A Contemporary Review, Open Challenges and Future Research Directions
Navneet Vinod Melarkode, Kathiravan Srinivasan, Saeed Mian Qaisar, et al.
Cancers (2023) Vol. 15, Iss. 4, pp. 1183-1183
Open Access | Times Cited: 67
Artificial Intelligence Application in Diagnosing, Classifying, Localizing, Detecting and Estimation the Severity of Skin Condition in Aesthetic Medicine: A Review
Kar Wai Alvin Lee, Lisa Kwin Wah Chan, Cheuk Hung Lee, et al.
Dermatological Reviews (2025) Vol. 6, Iss. 1
Closed Access | Times Cited: 4
A two‐stream deep neural network‐based intelligent system for complex skin cancer types classification
Muhammad Attique Khan, Muhammad Sharif, Tallha Akram, et al.
International Journal of Intelligent Systems (2021) Vol. 37, Iss. 12, pp. 10621-10649
Open Access | Times Cited: 96
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: 27
Skin, scalpel and the silicon chip: a systematic review on the accuracy, bias and data governance of artificial intelligence in dermatology, minimally invasive aesthetics, aesthetic, plastic and reconstructive surgery
Eqram Rahman, Shabnam Sadeghi Esfahlani, Parinitha Rao, et al.
European Journal of Plastic Surgery (2025) Vol. 48, Iss. 1
Closed Access | Times Cited: 1
Skin cancer segmentation with the aid of multi-class dilated D-net (MD2N) framework
Mikkili Dileep Kumar, G. V. Sivanarayana, D. N. V. S. L. S. Indira, et al.
Multimedia Tools and Applications (2023) Vol. 82, Iss. 23, pp. 35995-36018
Closed Access | Times Cited: 17
Squeeze-MNet: Precise Skin Cancer Detection Model for Low Computing IoT Devices Using Transfer Learning
Rupali Shinde, Md. Shahinur Alam, Md. Biddut Hossain, et al.
Cancers (2022) Vol. 15, Iss. 1, pp. 12-12
Open Access | Times Cited: 25
A survey on computer vision approaches for automated classification of skin diseases
Pragya Gupta, Jagannath Nirmal, Ninad Mehendale
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 4
Multi-class skin lesion classification using prism- and segmentation-based fractal signatures
José Ariel Camacho-Gutíerrez, Selene Solorza-Calderón, Josué Álvarez-Borrego
Expert Systems with Applications (2022) Vol. 197, pp. 116671-116671
Closed Access | Times Cited: 19
Detecting Pine Trees Damaged by Wilt Disease Using Deep Learning Techniques Applied to Multi-Spectral Images
Ruirui Zhang, Jie You, Joonwhoan Lee
IEEE Access (2022) Vol. 10, pp. 39108-39118
Open Access | Times Cited: 15
A survey of recent advances in analysis of skin images
Pragya Gupta, Jagannath Nirmal, Ninad Mehendale
Evolutionary Intelligence (2024) Vol. 17, Iss. 5-6, pp. 4155-4178
Closed Access | Times Cited: 2
DermSegNet: smart IoT model for multi-class dermatological lesion diagnosis using adaptive segmentation and improved EfficientNetB3
Rupali Shinde, Md. Biddut Hossain, Syed Naheel Raza Rizvi, et al.
Applied Intelligence (2024) Vol. 54, Iss. 9-10, pp. 6930-6945
Closed Access | Times Cited: 1
Revisiting the Shape-Bias of Deep Learning for Dermoscopic Skin Lesion Classification
Adriano Lucieri, Fabian Schmeisser, Christoph Balada, et al.
Lecture notes in computer science (2022), pp. 46-61
Closed Access | Times Cited: 6
Skin Diseases Detection with Transfer Learning
Vo Van-Quoc, Nguyen Thai-Nghe
Lecture notes in networks and systems (2023), pp. 139-150
Closed Access | Times Cited: 3
HS‐UNET‐ID: An approach for human skin classification integrating between UNET and improved dense convolutional network
Hải Thanh Nguyễn, Huong Hoang Luong, Phat Tan Phan, et al.
International Journal of Imaging Systems and Technology (2022) Vol. 32, Iss. 6, pp. 1832-1845
Closed Access | Times Cited: 5
Design of inception architecture for skin melanoma classification
Sankarakutti Palanichamy Manikandan, Vedanandam Karthikeyan, G. Nalinashini
Indonesian Journal of Electrical Engineering and Computer Science (2023) Vol. 31, Iss. 3, pp. 1372-1372
Open Access | Times Cited: 1
Skin Cancer Diagnosis: Integrating CNN and Machine Learning Models
Purvi Rawal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2024) Vol. 08, Iss. 03, pp. 1-5
Open Access
Evaluation of Applied Artificial Neuronal Networks with a Timely Cervical Cancer Diagnosis in an Emerging Economy
Dulce-Rocío Mota-López, Erika Barojas-Payán, Saul Eduardo Hernández-Cisneros, et al.
Management and industrial engineering (2024), pp. 285-307
Closed Access
Computer-Aided Classification of Melanoma: A Comprehensive Survey
Uma Sharma, Preeti Aggarwal, Ajay Mittal
Archives of Computational Methods in Engineering (2024)
Closed Access
Diagnosis and Prediction of Skin Diseases Using Deep Learning for Rural Healthcare
Priya Panwar, Saniya Bangwal, Udisha Pasbola, et al.
(2024), pp. 1-6
Closed Access
Automatically Evolving Interpretable Feature Vectors Using Genetic Programming for an Ensemble Classifier in Skin Cancer Detection
Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, et al.
IEEE Computational Intelligence Magazine (2024) Vol. 19, Iss. 3, pp. 26-41
Open Access
SCCNet: Skin Cancer Detection and Multi-Class Classification Using Deep CNN Model with Estimated Disease Probabilities
V. Arunkumar, C Chandana, G Supraja, et al.
SN Computer Science (2024) Vol. 5, Iss. 6
Closed Access
An Embedded Vision System for Autoimmune Skin Diseases Classification Based on Deep Learning: A Preliminary Study
Laura Falaschetti, Sara Campanella, Sofia Curina, et al.
(2024), pp. 1-6
Closed Access
Distributed System Coordination Predictive Control for Network Information Mode
Mallik Alasser
Distributed Processing System (2022) Vol. 3, Iss. 4
Open Access | Times Cited: 1
Identification of Shark Species Based on Their Dry Dorsal Fins through Image Processing
Luis Alfredo Carrillo-Aguilar, Esperanza Guerra-Rosas, Josué Álvarez-Borrego, et al.
Applied Sciences (2022) Vol. 12, Iss. 22, pp. 11646-11646
Open Access | Times Cited: 1
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