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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:

Integration of morphological preprocessing and fractal based feature extraction with recursive feature elimination for skin lesion types classification
Saptarshi Chatterjee, Debangshu Dey, Sugata Munshi
Computer Methods and Programs in Biomedicine (2019) Vol. 178, pp. 201-218
Closed Access | Times Cited: 102

Showing 1-25 of 102 citing articles:

Coronavirus disease (COVID-19) detection in Chest X-Ray images using majority voting based classifier ensemble
Tej Bahadur Chandra, Kesari Verma, Bikesh Kumar Singh, et al.
Expert Systems with Applications (2020) Vol. 165, pp. 113909-113909
Open Access | Times Cited: 259
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
Skin lesion classification of dermoscopic images using machine learning and convolutional neural network
Bhuvaneshwari Shetty, Roshan Fernandes, Anisha P Rodrigues, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 108
An Enhanced Transfer Learning Based Classification for Diagnosis of Skin Cancer
Vatsala Anand, Sheifali Gupta, Ayman Altameem, et al.
Diagnostics (2022) Vol. 12, Iss. 7, pp. 1628-1628
Open Access | Times Cited: 100
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
Detection of Skin Diseases from Dermoscopy Image Using the combination of Convolutional Neural Network and One-versus-All
Kemal Polat, Kaan Onur Koç
Journal of Artificial Intelligence and Systems (2020) Vol. 2, Iss. 1, pp. 80-97
Open Access | Times Cited: 94
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
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: 57
Machine Learning Approaches for Skin Cancer Classification from Dermoscopic Images: A Systematic Review
Flavia Grignaffini, Francesco Barbuto, Lorenzo Piazzo, et al.
Algorithms (2022) Vol. 15, Iss. 11, pp. 438-438
Open Access | Times Cited: 38
A SYSTEMATIC LITERATURE REVIEW: RECURSIVE FEATURE ELIMINATION ALGORITHMS
Arif Mudi Priyatno, Triyanna Widiyaningtyas
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) (2024) Vol. 9, Iss. 2, pp. 196-207
Open Access | Times Cited: 12
DermCDSM: Clinical Decision Support Model for Dermatosis Using Systematic Approaches of Machine Learning and Deep Learning
Ruchi Mittal, Fathe Jeribi, John Martin, et al.
IEEE Access (2024) Vol. 12, pp. 47319-47337
Open Access | Times Cited: 9
Automatic skin cancer detection in dermoscopy images by combining convolutional neural networks and texture features
Seyed Mohammad Alizadeh, Ali Mahloojifar
International Journal of Imaging Systems and Technology (2020) Vol. 31, Iss. 2, pp. 695-707
Closed Access | Times Cited: 63
An automated skin melanoma detection system with melanoma-index based on entropy features
Kang Hao Cheong, Kenneth Jian Wei Tang, Xinxing Zhao, et al.
Journal of Applied Biomedicine (2021) Vol. 41, Iss. 3, pp. 997-1012
Closed Access | Times Cited: 48
A comprehensive analysis of recent advancements in cancer detection using machine learning and deep learning models for improved diagnostics
Hari Mohan, Joon Yoo
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 15, pp. 14365-14408
Closed Access | Times Cited: 19
Systematic review of approaches to detection and classification of skin cancer using artificial intelligence: Development and prospects
Ulyana A. Lyakhova, Pavel Lyakhov
Computers in Biology and Medicine (2024) Vol. 178, pp. 108742-108742
Closed Access | Times Cited: 6
Extreme Learning Machine-Mixer: An Alternative to Multilayer Perceptron-Mixer and Its Application in Skin Cancer Detection Based on Dermoscopy Images
Nebras Sobahi, Abdulsalam M. Alhawsawi, Mohammed M. Damoom, et al.
Arabian Journal for Science and Engineering (2025)
Closed Access
Transformative Advances in AI for Precise Cancer Detection: A Comprehensive Review of Non-Invasive Techniques
Hari Mohan, Joon Yoo, Serhii Dashkevych
Archives of Computational Methods in Engineering (2025)
Closed Access
Fractal Analysis of Volcanic Rock Image Based on Difference Box-Counting Dimension and Gray-Level Co-Occurrence Matrix: A Case Study in the Liaohe Basin, China
Sijia Li, Zhuwen Wang, Dan Mou
Fractal and Fractional (2025) Vol. 9, Iss. 2, pp. 99-99
Open Access
Lightweight Local–Global Fusion for Robust Multiclass Classification of Skin Lesions
Guangli Li, Xiaofang Zhou, Yiyuan Ye, et al.
International Journal of Imaging Systems and Technology (2025) Vol. 35, Iss. 2
Closed Access
Deep Multi-Modal Skin-Imaging-Based Information-Switching Network for Skin Lesion Recognition
Yingzhe Yu, Huiqiong Jia, Li Zhang, et al.
Bioengineering (2025) Vol. 12, Iss. 3, pp. 282-282
Open Access
Classification of pulmonary lesion based on multiparametric MRI: utility of radiomics and comparison of machine learning methods
Xinhui Wang, Qi Wan, Houjin Chen, et al.
European Radiology (2020) Vol. 30, Iss. 8, pp. 4595-4605
Closed Access | Times Cited: 44
Deep Neural Network for Predicting Diabetic Retinopathy from Risk Factors
Ganjar Alfian, Muhammad Syafrudin, Norma Latif Fitriyani, et al.
Mathematics (2020) Vol. 8, Iss. 9, pp. 1620-1620
Open Access | Times Cited: 44
Deep attention branch networks for skin lesion classification
Saisai Ding, Zhongyi Wu, Yanyan Zheng, et al.
Computer Methods and Programs in Biomedicine (2021) Vol. 212, pp. 106447-106447
Closed Access | Times Cited: 39
Heterogeneous sensors-based feature optimisation and deep learning for tool wear prediction
Xiaoyang Zhang, Sheng Wang, Weidong Li, et al.
The International Journal of Advanced Manufacturing Technology (2021) Vol. 114, Iss. 9-10, pp. 2651-2675
Closed Access | Times Cited: 36
Deep Learning Based Automated Diagnosis of Skin Diseases Using Dermoscopy
Vatsala Anand, Sheifali Gupta, Deepika Koundal, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 71, Iss. 2, pp. 3145-3160
Open Access | Times Cited: 32
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