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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:

An integrated framework of skin lesion detection and recognition through saliency method and optimal deep neural network features selection
Muhammad Attique Khan, Tallha Akram, Muhammad Sharif, et al.
Neural Computing and Applications (2019) Vol. 32, Iss. 20, pp. 15929-15948
Closed Access | Times Cited: 63

Showing 1-25 of 63 citing articles:

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: 214
Attributes based skin lesion detection and recognition: A mask RCNN and transfer learning-based deep learning framework
Muhammad Attique Khan, Tallha Akram, Yudong Zhang, et al.
Pattern Recognition Letters (2021) Vol. 143, pp. 58-66
Closed Access | Times Cited: 210
Pixels to Classes: Intelligent Learning Framework for Multiclass Skin Lesion Localization and Classification
Muhammad Attique Khan, Yudong Zhang, Muhammad Sharif, et al.
Computers & Electrical Engineering (2021) Vol. 90, pp. 106956-106956
Closed Access | Times Cited: 138
Multi-Class Skin Lesion Detection and Classification via Teledermatology
Muhammad Attique Khan, Khan Muhammad, Muhammad Sharif, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 25, Iss. 12, pp. 4267-4275
Closed Access | Times Cited: 130
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: 80
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: 49
Gastrointestinal diseases segmentation and classification based on duo-deep architectures
Mehshan Ahmed Khan, Muhammad Attique Khan, Fawad Ahmed, et al.
Pattern Recognition Letters (2019) Vol. 131, pp. 193-204
Closed Access | Times Cited: 140
Hand-crafted and deep convolutional neural network features fusion and selection strategy: An application to intelligent human action recognition
Muhammad Attique Khan, Muhammad Sharif, Tallha Akram, et al.
Applied Soft Computing (2019) Vol. 87, pp. 105986-105986
Closed Access | Times Cited: 139
Classification of stomach infections: A paradigm of convolutional neural network along with classical features fusion and selection
Abdul Majid, Muhammad Attique Khan, Mussarat Yasmin, et al.
Microscopy Research and Technique (2020) Vol. 83, Iss. 5, pp. 562-576
Closed Access | Times Cited: 134
Computer-Aided Gastrointestinal Diseases Analysis From Wireless Capsule Endoscopy: A Framework of Best Features Selection
Muhammad Attique Khan, Seifedine Kadry, Majed Alhaisoni, et al.
IEEE Access (2020) Vol. 8, pp. 132850-132859
Open Access | Times Cited: 133
Pearson Correlation-Based Feature Selection for Document Classification Using Balanced Training
Inzamam Mashood Nasir, Muhammad Attique Khan, Mussarat Yasmin, et al.
Sensors (2020) Vol. 20, Iss. 23, pp. 6793-6793
Open Access | Times Cited: 106
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: 95
Microscopic melanoma detection and classification: A framework of pixel‐based fusion and multilevel features reduction
Amjad Rehman, Muhammad Attique Khan, Zahid Mehmood, et al.
Microscopy Research and Technique (2020) Vol. 83, Iss. 4, pp. 410-423
Closed Access | Times Cited: 93
A multilevel features selection framework for skin lesion classification
Tallha Akram, Hafiz Muhammad Junaid Lodhi, Syed Rameez Naqvi, et al.
Human-centric Computing and Information Sciences (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 90
Malignant skin melanoma detection using image augmentation by oversampling in nonlinear lower-dimensional embedding manifold
Olusola Abayomi‐Alli, Robertas Damaševičius, Sanjay Misra, et al.
TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES (2021) Vol. 29, Iss. SI-1, pp. 2600-2614
Open Access | Times Cited: 77
An Effective Skin Cancer Classification Mechanism via Medical Vision Transformer
Suliman Aladhadh, Majed Alsanea, Mohammed Aloraini, et al.
Sensors (2022) Vol. 22, Iss. 11, pp. 4008-4008
Open Access | Times Cited: 69
Novel coronavirus (COVID-19) diagnosis using computer vision and artificial intelligence techniques: a review
Anuja Bhargava, Atul Bansal
Multimedia Tools and Applications (2021) Vol. 80, Iss. 13, pp. 19931-19946
Open Access | Times Cited: 58
U-Net Model with Transfer Learning Model as a Backbone for Segmentation of Gastrointestinal Tract
Neha Sharma, Sheifali Gupta, Deepika Koundal, et al.
Bioengineering (2023) Vol. 10, Iss. 1, pp. 119-119
Open Access | Times Cited: 40
Deep learning-based prediction model for diagnosing gastrointestinal diseases using endoscopy images
Anju Sharma, Rajnish Kumar, Prabha Garg
International Journal of Medical Informatics (2023) Vol. 177, pp. 105142-105142
Closed Access | Times Cited: 25
D2LFS2Net: Multi‐class skin lesion diagnosis using deep learning and variance‐controlled Marine Predator optimisation: An application for precision medicine
Veena Dillshad, Muhammad Attique Khan, Muhammad Nazir, et al.
CAAI Transactions on Intelligence Technology (2023)
Open Access | Times Cited: 23
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: 9
Breast Cancer Detection and Classification using Traditional Computer Vision Techniques: A Comprehensive Review
Saliha Zahoor, Ikram Ullah Lali, Muhammad Attique Khan, et al.
Current Medical Imaging Formerly Current Medical Imaging Reviews (2020) Vol. 16, Iss. 10, pp. 1187-1200
Closed Access | Times Cited: 54
Computer Decision Support System for Skin Cancer Localization and Classification
Muhammad Attique Khan, Tallha Akram, Muhammad Sharif, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 68, Iss. 1, pp. 1041-1064
Open Access | Times Cited: 37
SkiNet: A deep learning framework for skin lesion diagnosis with uncertainty estimation and explainability
Rajeev Kumar Singh, Rohan Gorantla, Sai Giridhar Allada, et al.
PLoS ONE (2022) Vol. 17, Iss. 10, pp. e0276836-e0276836
Open Access | Times Cited: 25
ConvNeXt-ST-AFF: A Novel Skin Disease Classification Model Based on Fusion of ConvNeXt and Swin Transformer
Shengnan Hao, Liguo Zhang, Yanyan Jiang, et al.
IEEE Access (2023) Vol. 11, pp. 117460-117473
Open Access | Times Cited: 16
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