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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 Method for Dermoscopy Images Using Artificial Bee Colony Algorithm
Mohanad Aljanabi, Yasa Ekşioğlu, Javad Rahebi, et al.
Symmetry (2018) Vol. 10, Iss. 8, pp. 347-347
Open Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

An enhanced technique of skin cancer classification using deep convolutional neural network with transfer learning models
Md Shahin Ali, Md Sipon Miah, Jahurul Haque, et al.
Machine Learning with Applications (2021) Vol. 5, pp. 100036-100036
Open Access | Times Cited: 299
Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art
Adekanmi Adeyinka Adegun, Serestina Viriri
Artificial Intelligence Review (2020) Vol. 54, Iss. 2, pp. 811-841
Closed Access | Times Cited: 241
Deep Learning-Based System for Automatic Melanoma Detection
Adekanmi Adeyinka Adegun, Serestina Viriri
IEEE Access (2019) Vol. 8, pp. 7160-7172
Open Access | Times Cited: 162
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: 86
New Trends in Melanoma Detection Using Neural Networks: A Systematic Review
Dan Popescu, Mohamed El-Khatib, Hassan El-Khatib, et al.
Sensors (2022) Vol. 22, Iss. 2, pp. 496-496
Open Access | Times Cited: 77
Skin Lesion Segmentation from Dermoscopic Images Using Convolutional Neural Network
Kashan Zafar, Syed Omer Gilani, Asim Waris, et al.
Sensors (2020) Vol. 20, Iss. 6, pp. 1601-1601
Open Access | Times Cited: 119
Variants of Artificial Bee Colony algorithm and its applications in medical image processing
Şaban Öztürk, Rehan Ahmad, Nadeem Akhtar
Applied Soft Computing (2020) Vol. 97, pp. 106799-106799
Closed Access | Times Cited: 92
Deep Learning-Based Skin Lesion Diagnosis Model Using Dermoscopic Images
G. Reshma, Chiai Al-Atroshi, Vinay Kumar Nassa, et al.
Intelligent Automation & Soft Computing (2021) Vol. 31, Iss. 1, pp. 621-634
Open Access | Times Cited: 78
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: 65
MFSNet: A multi focus segmentation network for skin lesion segmentation
Hritam Basak, Rohit Kundu, Ram Sarkar
Pattern Recognition (2022) Vol. 128, pp. 108673-108673
Open Access | Times Cited: 59
Deep Learning and Optimization-Based Methods for Skin Lesions Segmentation: A Review
Khalid M. Hosny, Doaa Elshoura, Ehab R. Mohamed, et al.
IEEE Access (2023) Vol. 11, pp. 85467-85488
Open Access | Times Cited: 27
Automatic segmentation of melanoma skin cancer using transfer learning and fine-tuning
Rafael Luz Araújo, Flávio Araújo, Romuere Silva
Multimedia Systems (2021) Vol. 28, Iss. 4, pp. 1239-1250
Closed Access | Times Cited: 49
A novel deep learning framework based swin transformer for dermal cancer cell classification
K. Ramkumar, Elias Paulino Medeiros, Ani Dong, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108097-108097
Closed Access | Times Cited: 6
Deep Learning Ensemble Methods for Skin Lesion Analysis towards Melanoma Detection
Redha Ali, Russell C. Hardie, Barath Narayanan Narayanan, et al.
(2019), pp. 311-316
Closed Access | Times Cited: 45
Dynamic mechanism-assisted artificial bee colony optimization for image segmentation of COVID-19 chest X-ray
Jiaochen Chen, Zhennao Cai, Ali Asghar Heidari, et al.
Displays (2023) Vol. 79, pp. 102485-102485
Open Access | Times Cited: 16
Nature and Biologically Inspired Image Segmentation Techniques
Simrandeep Singh, Nitin Mittal, Diksha Thakur, et al.
Archives of Computational Methods in Engineering (2021) Vol. 29, Iss. 3, pp. 1415-1442
Closed Access | Times Cited: 30
Deep Learning for Early Skin Cancer Detection: Combining Segmentation, Augmentation, and Transfer Learning
Rajesh Karki, G. C. Shishant, Javad Rezazadeh, et al.
Big Data and Cognitive Computing (2025) Vol. 9, Iss. 4, pp. 97-97
Open Access
Automatic Segmentation of Melanoma Skin Cancer Using Deep Learning
Rafael Luz Araújo, Ricardo A. L. Rabêlo, Joel J. P. C. Rodrigues, et al.
(2021), pp. 1-6
Closed Access | Times Cited: 24
New Auxiliary Function with Properties in Nonsmooth Global Optimization for Melanoma Skin Cancer Segmentation
Idris A. Masoud Abdulhamid, Ahmet Şahiner, Javad Rahebi
BioMed Research International (2020) Vol. 2020, pp. 1-14
Open Access | Times Cited: 26
Genetic algorithm-based initial contour optimization for skin lesion border detection
Amira S. Ashour, Reham Mohamed Nagieb, Heba A. El-Khobby, et al.
Multimedia Tools and Applications (2020) Vol. 80, Iss. 2, pp. 2583-2597
Closed Access | Times Cited: 18
An Intelligent Saliency Segmentation Technique and Classification of Low Contrast Skin Lesion Dermoscopic Images Based on Histogram Decision
Rabia Javed, Tanzila Saba, Mohd Shafry, et al.
2021 14th International Conference on Developments in eSystems Engineering (DeSE) (2019), pp. 164-169
Closed Access | Times Cited: 17
Classification of Dermoscopy Images for Early Detection of Skin Cancer – A Review
Ebrahim Mohammed, Eki Yuni Madya Mukti
International Journal of Computer Applications (2019) Vol. 178, Iss. 17, pp. 37-43
Open Access | Times Cited: 16
Skin Lesion Segmentation Using Image Bit-Plane Multilayer Approach
María Rízzí, Cataldo Guaragnella
Applied Sciences (2020) Vol. 10, Iss. 9, pp. 3045-3045
Open Access | Times Cited: 16
An Improved Framework by Mapping Salient Features for Skin Lesion Detection and Classification using the Optimized Hybrid Features
Rabia Javed
International Journal of Advanced Trends in Computer Science and Engineering (2019) Vol. 8, Iss. 1.6, pp. 95-101
Open Access | Times Cited: 14
Skin Cancer Image Segmentation Based on Midpoint Analysis Approach
Uzma Saghir, Shailendra Kumar Singh, Moin Hasan
Deleted Journal (2024) Vol. 37, Iss. 5, pp. 2581-2596
Closed Access | Times Cited: 1
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