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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:

Optimal selection of features using wavelet fractal descriptors and automatic correlation bias reduction for classifying skin lesions
Saptarshi Chatterjee, Debangshu Dey, Sugata Munshi
Biomedical Signal Processing and Control (2017) Vol. 40, pp. 252-262
Closed Access | Times Cited: 37

Showing 1-25 of 37 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: 192
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: 106
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: 103
Construction of saliency map and hybrid set of features for efficient segmentation and classification of skin lesion
Muhammad Attique Khan, Tallha Akram, Muhammad Sharif, et al.
Microscopy Research and Technique (2019) Vol. 82, Iss. 6, pp. 741-763
Closed Access | Times Cited: 90
A comparative study of features selection for skin lesion detection from dermoscopic images
Rabia Javed, Mohd Shafry Mohd Rahim, Tanzila Saba, et al.
Network Modeling Analysis in Health Informatics and Bioinformatics (2019) Vol. 9, Iss. 1
Closed Access | Times Cited: 86
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: 16
Stomach Deformities Recognition Using Rank-Based Deep Features Selection
Muhammad Attique Khan, Muhammad Sharif, Tallha Akram, et al.
Journal of Medical Systems (2019) Vol. 43, Iss. 12
Closed Access | Times Cited: 73
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
Extraction of features from cross correlation in space and frequency domains for classification of skin lesions
Saptarshi Chatterjee, Debangshu Dey, Sugata Munshi, et al.
Biomedical Signal Processing and Control (2019) Vol. 53, pp. 101581-101581
Closed Access | Times Cited: 48
Kernel sparse representation based model for skin lesions segmentation and classification
Nooshin Moradi, Nezam Mahdavi‐Amiri
Computer Methods and Programs in Biomedicine (2019) Vol. 182, pp. 105038-105038
Closed Access | Times Cited: 46
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
Estimation of shallow stream bathymetry under varying suspended sediment concentrations and compositions using hyperspectral imagery
Yeonghwa Gwon, Siyoon Kwon, Dongsu Kim, et al.
Geomorphology (2023) Vol. 433, pp. 108722-108722
Closed Access | Times Cited: 14
Entropy-Based Breast Cancer Detection in Digital Mammograms Using World Cup Optimization Algorithm
Navid Razmjooy, Vania V. Estrela, Hermes Loschi
International Journal of Swarm Intelligence Research (2020) Vol. 11, Iss. 3, pp. 1-18
Closed Access | Times Cited: 34
An adaptive morphology based segmentation technique for lung nodule detection in thoracic CT image
Amitava Halder, Saptarshi Chatterjee, Debangshu Dey, et al.
Computer Methods and Programs in Biomedicine (2020) Vol. 197, pp. 105720-105720
Closed Access | Times Cited: 33
Dual attention based network for skin lesion classification with auxiliary learning
Zenghui Wei, Qiang Li, Hong Song
Biomedical Signal Processing and Control (2022) Vol. 74, pp. 103549-103549
Closed Access | Times Cited: 20
Dermatological expert system implementing the ABCD rule of dermoscopy for skin disease identification
Saptarshi Chatterjee, Debangshu Dey, Sugata Munshi, et al.
Expert Systems with Applications (2020) Vol. 167, pp. 114204-114204
Closed Access | Times Cited: 29
Improving Melanoma Classification Using Transfer Learning Based Wavelet Features
Sandhya Rani Sahoo, Ratnakar Dash, Ramesh Kumar Mohapatra
Communications in computer and information science (2025), pp. 58-68
Closed Access
Morphological operations with iterative rotation of structuring elements for segmentation of retinal vessel structures
Soumyadeep Pal, Saptarshi Chatterjee, Debangshu Dey, et al.
Multidimensional Systems and Signal Processing (2018) Vol. 30, Iss. 1, pp. 373-389
Closed Access | Times Cited: 32
Entropy-Based Breast Cancer Detection in Digital Mammograms Using World Cup Optimization Algorithm
Navid Razmjooy, Vania V. Estrela, Hermes Loschi
IGI Global eBooks (2022), pp. 645-665
Closed Access | Times Cited: 13
Identification Framework of Contaminant Spill in Rivers Using Machine Learning with Breakthrough Curve Analysis
Siyoon Kwon, Hyoseob Noh, Il Won Seo, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 3, pp. 1023-1023
Open Access | Times Cited: 15
Melanoma Detection in Dermoscopic Images Using a Cellular Automata Classifier
B. Luna-Benoso, J. C. Martínez-Perales, J. Cortés-Galicia, et al.
Computers (2022) Vol. 11, Iss. 1, pp. 8-8
Open Access | Times Cited: 10
Advancements in traditional machine learning techniques for detection and diagnosis of fatal cancer types: Comprehensive review of biomedical imaging datasets
Hari Mohan, Joon Yoo, Syed Atif Moqurrab, et al.
Measurement (2023) Vol. 225, pp. 114059-114059
Closed Access | Times Cited: 6
Computational texture features of dermoscopic images and their link to the descriptive terminology: A survey
Lidia Talavera-Martínez, Pedro Bibiloni, Manuel González-Hidalgo
Computer Methods and Programs in Biomedicine (2019) Vol. 182, pp. 105049-105049
Closed 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
Fractal analysis tools for early assessment of liver inflammation induced by chronic consumption of linseed, palm and sunflower oils
Dejan Oprić, Anica D. Stankovich, Aleksandra Nenadović, et al.
Biomedical Signal Processing and Control (2020) Vol. 61, pp. 101959-101959
Closed Access | Times Cited: 10
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