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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:

Skin Lesion Segmentation and Multiclass Classification Using Deep Learning Features and Improved Moth Flame Optimization
Muhammad Attique Khan, Muhammad Sharif, Tallha Akram, et al.
Diagnostics (2021) Vol. 11, Iss. 5, pp. 811-811
Open Access | Times Cited: 206

Showing 1-25 of 206 citing articles:

Machine Learning and Deep Learning Methods for Skin Lesion Classification and Diagnosis: A Systematic Review
Mohamed A. Kassem, Khalid M. Hosny, Robertas Damaševičius, et al.
Diagnostics (2021) Vol. 11, Iss. 8, pp. 1390-1390
Open Access | Times Cited: 185
Fusion of U-Net and CNN model for segmentation and classification of skin lesion from dermoscopy images
Vatsala Anand, Sheifali Gupta, Deepika Koundal, et al.
Expert Systems with Applications (2022) Vol. 213, pp. 119230-119230
Closed Access | Times Cited: 168
An Efficient Deep Learning-Based Skin Cancer Classifier for an Imbalanced Dataset
Talha Mahboob Alam, Kamran Shaukat, Wasim Ahmad Khan, et al.
Diagnostics (2022) Vol. 12, Iss. 9, pp. 2115-2115
Open Access | Times Cited: 121
A review of deep learning-based multiple-lesion recognition from medical images: classification, detection and segmentation
Huiyan Jiang, Zhaoshuo Diao, Tianyu Shi, et al.
Computers in Biology and Medicine (2023) Vol. 157, pp. 106726-106726
Closed Access | Times Cited: 111
Dermatologist-Level Classification of Skin Cancer Using Cascaded Ensembling of Convolutional Neural Network and Handcrafted Features Based Deep Neural Network
Akhilesh Sharma, Shamik Tiwari, Gaurav Aggarwal, et al.
IEEE Access (2022) Vol. 10, pp. 17920-17932
Open Access | Times Cited: 97
DermoExpert: Skin lesion classification using a hybrid convolutional neural network through segmentation, transfer learning, and augmentation
Md. Kamrul Hasan, Md. Toufick E Elahi, Md. Ashraful Alam, et al.
Informatics in Medicine Unlocked (2022) Vol. 28, pp. 100819-100819
Open Access | Times Cited: 97
A survey, review, and future trends of skin lesion segmentation and classification
Md. Kamrul Hasan, Md. Asif Ahamad, Choon Hwai Yap, et al.
Computers in Biology and Medicine (2023) Vol. 155, pp. 106624-106624
Open Access | Times Cited: 83
Multiclass skin lesion localization and classification using deep learning based features fusion and selection framework for smart healthcare
Sarmad Maqsood, Robertas Damaševičius
Neural Networks (2023) Vol. 160, pp. 238-258
Closed Access | Times Cited: 78
A comprehensive analysis of dermoscopy images for melanoma detection via deep CNN features
Himanshu K. Gajera, Deepak Ranjan Nayak, Mukesh A. Zaveri
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104186-104186
Closed Access | Times Cited: 76
Skin Cancer Detection Using Deep Learning—A Review
Maryam Naqvi, Syed Qasim Gilani, Tehreem Syed, et al.
Diagnostics (2023) Vol. 13, Iss. 11, pp. 1911-1911
Open Access | Times Cited: 55
Skin Lesion Analysis and Cancer Detection Based on Machine/Deep Learning Techniques: A Comprehensive Survey
Mehwish Zafar, Muhammad Imran Sharif, Muhammad Irfan Sharif, et al.
Life (2023) Vol. 13, Iss. 1, pp. 146-146
Open Access | Times Cited: 47
LBO-MPAM: Ladybug Beetle Optimization-based multilayer perceptron attention module for segmenting the skin lesion and automatic localization
V. Sellam, Kannan Natrajan, Senthil Pandi S, et al.
Journal of Experimental & Theoretical Artificial Intelligence (2024), pp. 1-26
Closed Access | Times Cited: 25
Advanced Deep Learning Models for Melanoma Diagnosis in Computer-Aided Skin Cancer Detection
Ranpreet Kaur, Hamid GholamHosseini, María Lindén
Sensors (2025) Vol. 25, Iss. 3, pp. 594-594
Open Access | Times Cited: 1
Intelligent fusion-assisted skin lesion localization and classification for smart healthcare
Muhammad Attique Khan, Khan Muhammad, Muhammad Sharif, et al.
Neural Computing and Applications (2021) Vol. 36, Iss. 1, pp. 37-52
Closed Access | Times Cited: 87
Breast Cancer Detection Using Mammogram Images with Improved Multi-Fractal Dimension Approach and Feature Fusion
Dilovan Asaad Zebari, Dheyaa Ahmed Ibrahim, Diyar Qader Zeebaree, et al.
Applied Sciences (2021) Vol. 11, Iss. 24, pp. 12122-12122
Open Access | Times Cited: 79
An Efficient Approach for the Detection of Brain Tumor Using Fuzzy Logic and U-NET CNN Classification
Sarmad Maqsood, Robertas Damaševičius, Faisal Mehmood Shah
Lecture notes in computer science (2021), pp. 105-118
Closed Access | Times Cited: 68
An Improved Moth-Flame Optimization Algorithm with Adaptation Mechanism to Solve Numerical and Mechanical Engineering Problems
Mohammad H. Nadimi-Shahraki, Ali Fatahi, Hoda Zamani, et al.
Entropy (2021) Vol. 23, Iss. 12, pp. 1637-1637
Open Access | Times Cited: 65
Breast Cancer Mammograms Classification Using Deep Neural Network and Entropy-Controlled Whale Optimization Algorithm
Saliha Zahoor, Umar Shoaib, Ikram Ullah Lali
Diagnostics (2022) Vol. 12, Iss. 2, pp. 557-557
Open Access | Times Cited: 63
A Novel Hybrid Deep Learning Approach for Skin Lesion Segmentation and Classification
Puneet Thapar, Manik Rakhra, Gerardo Cazzato, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-21
Open Access | Times Cited: 63
Migration-Based Moth-Flame Optimization Algorithm
Mohammad H. Nadimi-Shahraki, Ali Fatahi, Hoda Zamani, et al.
Processes (2021) Vol. 9, Iss. 12, pp. 2276-2276
Open Access | Times Cited: 59
Deep Learning and Machine Learning Techniques of Diagnosis Dermoscopy Images for Early Detection of Skin Diseases
Ibrahim Abunadi, Ebrahim Mohammed Senan
Electronics (2021) Vol. 10, Iss. 24, pp. 3158-3158
Open Access | Times Cited: 57
An automated deep learning models for classification of skin disease using Dermoscopy images: a comprehensive study
Vatsala Anand, Sheifali Gupta, Soumya Ranjan Nayak, et al.
Multimedia Tools and Applications (2022) Vol. 81, Iss. 26, pp. 37379-37401
Closed Access | Times Cited: 51
Optimal Artificial Intelligence Based Automated Skin Lesion Detection and Classification Model
Kingsley A. Ogudo, R Surendran, Osamah Ibrahim Khalaf
Computer Systems Science and Engineering (2022) Vol. 44, Iss. 1, pp. 693-707
Open Access | Times Cited: 49
CU-Net: A New Improved Multi-Input Color U-Net Model for Skin Lesion Semantic Segmentation
Rania Ramadan, Saleh Aly
IEEE Access (2022) Vol. 10, pp. 15539-15564
Open Access | Times Cited: 46
Deep Learning Application for Effective Classification of Different Types of Psoriasis
Syeda Fatima Aijaz, Saad Jawaid Khan, Fahad Azim, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 43
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