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:

Early detection of melanoma images using gray level co‐occurrence matrix features and machine learning techniques for effective clinical diagnosis
B. Thiyaneswaran, K. Anguraj, S. Kumarganesh, et al.
International Journal of Imaging Systems and Technology (2020) Vol. 31, Iss. 2, pp. 682-694
Closed Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

Developing an AI-Powered Interactive Virtual Tutor for Enhanced Learning Experiences
P. Rathika, S. Yamunadevi, P. Ponni, et al.
International Journal of Computational and Experimental Science and Engineering (2024) Vol. 10, Iss. 4
Open Access | Times Cited: 7

An effective model for the iris regional characteristics and classification using deep learning alex network
B. Thiyaneswaran, Kumarganesh Sengottaiyan, Martin Sagayam Kulandairaj, et al.
IET Image Processing (2022) Vol. 17, Iss. 1, pp. 227-238
Open Access | Times Cited: 29

Meningioma brain tumor detection and classification using hybrid CNN method and RIDGELET transform
B. V. Prakash, A. Rajiv Kannan, N. Santhiyakumari, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 16

Patch‐based local deep feature extraction for automated skin cancer classification
Himanshu K. Gajera, Mukesh A. Zaveri, Deepak Ranjan Nayak
International Journal of Imaging Systems and Technology (2022) Vol. 32, Iss. 5, pp. 1774-1788
Closed Access | Times Cited: 22

Research on tire crack detection using image deep learning method
Shih-Lin Lin
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 12

Performance analysis of image retrieval system using deep learning techniques
B Selvalakshmi, K. Hemalatha, S. Kumarganesh, et al.
Network Computation in Neural Systems (2025), pp. 1-21
Closed Access

Detection and Segmentation of Glioma Tumors Using an Improved Visual Geometry Group (IVGG) Deep Learning Structure
Parameswari Alagarsamy, Vinoth Kumar Kalimuthu, Bhavani Sridharan
Brazilian Archives of Biology and Technology (2025) Vol. 68
Open Access

Enhanced Circuit Board Analysis: Infrared Image Segmentation Utilizing Markov Random Field (MRF) and Level Set Techniques
T. Praveenkumar, S. Anthoniraj, S. Kumarganesh, et al.
Engineering Reports (2025) Vol. 7, Iss. 3
Open Access

Crop Recommendation on Analyzing Soil Using Machine Learning
Anguraj.K Et al.
Türk bilgisayar ve matematik eğitimi dergisi (2021) Vol. 12, Iss. 6, pp. 1784-1791
Open Access | Times Cited: 31

Colour and Texture Descriptors for Visual Recognition: A Historical Overview
Francesco Bianconi, Antonio Fernández, Fabrizio Smeraldi, et al.
Journal of Imaging (2021) Vol. 7, Iss. 11, pp. 245-245
Open Access | Times Cited: 29

An efficient approach for detection and classification of cancer regions in cervical images using optimization based CNN classification approach
P. Elayaraja, S. Kumarganesh, K. Martin Sagayam, et al.
Journal of Intelligent & Fuzzy Systems (2022) Vol. 43, Iss. 1, pp. 1023-1033
Closed Access | Times Cited: 20

Automatic melanoma detection using discrete cosine transform features and metadata on dermoscopic images
Shamim Yousefi, Samad Najjar-Ghabel, Ramin Danehchin, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 2, pp. 101944-101944
Open Access | Times Cited: 3

Skin cancer classification using non-local means denoising and sparse dictionary learning based CNN
Apeksha Pandey, M Sai Teja, Parul Sahare, et al.
Journal of Electrical Systems and Information Technology (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 3

Detection and Classification of Malignant Melanoma Using Deep Features of NASNet
Qaiser Abbas, Anza Gul
SN Computer Science (2022) Vol. 4, Iss. 1
Closed Access | Times Cited: 14

Deep Learning Based Classification of Dermatological Disorders
Lulwah AlSuwaidan
Biomedical Engineering and Computational Biology (2023) Vol. 14
Open Access | Times Cited: 8

Melanoma skin cancer detection using mask-RCNN with modified GRU model
K. M. Monica, J. Shreeharsha, Przemysław Falkowski‐Gilski, et al.
Frontiers in Physiology (2024) Vol. 14
Open Access | Times Cited: 2

SASAN: ground truth for the effective segmentation and classification of skin cancer using biopsy images
Sajid Ullah Khan, Muhammad Asif Khan, Adeeb Noor, et al.
Diagnosis (2024) Vol. 11, Iss. 3, pp. 283-294
Closed Access | Times Cited: 2

Automated Deep Learning Based Melanoma Detection and Classification Using Biomedical Dermoscopic Images
Amani Abdulrahman Albraikan, Nadhem Nemri, Mimouna Abdullah Alkhonaini, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 74, Iss. 2, pp. 2443-2459
Open Access | Times Cited: 10

An optimal diagnosis system for melanoma dermoscopy images based on enhanced design of horse herd optimizer
Qi Ding, Navid Razmjooy
International Journal of Imaging Systems and Technology (2023) Vol. 33, Iss. 3, pp. 1092-1107
Closed Access | Times Cited: 5

Performance Analysis of Diabetic Retinopathy and Hemorrhages Segmentation System Using Enhanced Visual Geometry Group (EVGG) Architecture
J. Biju, D. Shanthi
Journal of Electrical Engineering and Technology (2024) Vol. 19, Iss. 5, pp. 3527-3538
Closed Access | Times Cited: 1

Detection and Segmentation of Glioma Tumors Utilizing a UNet Convolutional Neural Network Approach with Non-Subsampled Shearlet Transform
M. Tamilarasi, S. Kumarganesh, K. Martin Sagayam, et al.
Journal of Computational Biology (2024) Vol. 31, Iss. 8, pp. 757-768
Closed Access | Times Cited: 1

Advanced Global Prototypical Segmentation Framework for Few-Shot Hyperspectral Image Classification
Kunming Xia, Guowu Yuan, Mengen Xia, et al.
Sensors (2024) Vol. 24, Iss. 16, pp. 5386-5386
Open Access | Times Cited: 1

IoT based air quality measurement and alert system for steel, material and copper processing industries
B. Thiyaneswaran, P. Elayaraja, Palanivel Srinivasan, et al.
Materials Today Proceedings (2021) Vol. 81, pp. 127-132
Closed Access | Times Cited: 10

Dermoscopic Image Classification Method Using an Ensemble of Fine-Tuned Convolutional Neural Networks
Xin Shen, Lisheng Wei, Shaoyu Tang
Sensors (2022) Vol. 22, Iss. 11, pp. 4147-4147
Open Access | Times Cited: 5

Recurrent Neural Network Deep Learning Techniques for Brain Tumor Segmentation and Classification of Magnetic Resonance Imaging Images
Meenal Thayumanavan, R. Asokan
Journal of Medical Imaging and Health Informatics (2022) Vol. 12, Iss. 3, pp. 247-254
Closed Access | Times Cited: 5

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