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:

A comprehensive analysis of dermoscopy images for melanoma detection via deep CNN features
Himanshu K. Gajera, Deepak Ranjan Nayak, Mukesh A. Zaveri
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104186-104186
Closed Access | Times Cited: 78

Showing 1-25 of 78 citing articles:

Skin Cancer Detection Using Deep Learning—A Review
Maryam Naqvi, Syed Qasim Gilani, Tehreem Syed, et al.
Diagnostics (2023) Vol. 13, Iss. 11, pp. 1911-1911
Open Access | Times Cited: 58

SIGNFORMER: DeepVision Transformer for Sign Language Recognition
Deep Kothadiya, Chintan Bhatt, Tanzila Saba, et al.
IEEE Access (2023) Vol. 11, pp. 4730-4739
Open Access | Times Cited: 52

Skin cancer diagnosis: Leveraging deep hidden features and ensemble classifiers for early detection and classification
G. Akilandasowmya, G. Nirmaladevi, Su. Suganthi, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105306-105306
Closed Access | Times Cited: 47

All you need is data preparation: A systematic review of image harmonization techniques in Multi-center/device studies for medical support systems
Silvia Seoni, Alen Shahini, Kristen M. Meiburger, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 250, pp. 108200-108200
Open Access | Times Cited: 19

A novel hybrid Extreme Learning Machine and Teaching–Learning-Based​ Optimization algorithm for skin cancer detection
N. Priyadharshini, N. Selvanathan, B. Hemalatha, et al.
Healthcare Analytics (2023) Vol. 3, pp. 100161-100161
Open Access | Times Cited: 40

A survey on cancer detection via convolutional neural networks: Current challenges and future directions
Pallabi Sharma, Deepak Ranjan Nayak, Bunil Kumar Balabantaray, et al.
Neural Networks (2023) Vol. 169, pp. 637-659
Closed Access | Times Cited: 32

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

MEFF – A model ensemble feature fusion approach for tackling adversarial attacks in medical imaging
Laith Alzubaidi, Khamael Al-Dulaimi, Huda Abdul-Hussain Obeed, et al.
Intelligent Systems with Applications (2024) Vol. 22, pp. 200355-200355
Open Access | Times Cited: 11

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 novel framework of multiclass skin lesion recognition from dermoscopic images using deep learning and explainable AI
Naveed Ahmad, Jamal Hussain Shah, Muhammad Attique Khan, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 22

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: 7

A Hybrid Convolutional Neural Network Model for the Classification of Multi‐Class Skin Cancer
Ahmet Nusret Toprak, İbrahim Aruk
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 5
Open Access | Times Cited: 7

Alzheimer Disease Classification Using Deep Neural Network
Rezaul Haque, Md Babul Islam, Gunjan Chhabra, et al.
2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (2023), pp. 653-659
Closed Access | Times Cited: 15

Detection of Monkeypox from skin lesion images using deep learning networks and explainable artificial intelligence
Tushar Nayak, Krishnaraj Chadaga, Niranjana Sampathila, et al.
Applied Mathematics in Science and Engineering (2023) Vol. 31, Iss. 1
Open Access | Times Cited: 14

Combining State-of-the-Art Pre-Trained Deep Learning Models: A Noble Approach for Skin Cancer Detection Using Max Voting Ensemble
Md Hossain, Md. Moazzem Hossain, Most. Binoee Arefin, et al.
Diagnostics (2023) Vol. 14, Iss. 1, pp. 89-89
Open Access | Times Cited: 13

An adaptive weight search method based on the Grey wolf optimizer algorithm for skin lesion ensemble classification
Luzhou Liu, Xiaoxia Zhang, Zhinan Xu
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 2
Closed Access | Times Cited: 5

Intelligent vineyard blade density measurement method incorporating a lightweight vision transformer
Ke Shan, Guowei Dai, Hui Pan, et al.
Egyptian Informatics Journal (2024) Vol. 26, pp. 100456-100456
Open Access | Times Cited: 5

Multi-scale feature fusion and class weight loss for skin lesion classification
Zhentao Hu, Weiqiang Mei, Hongyu Chen, et al.
Computers in Biology and Medicine (2024) Vol. 176, pp. 108594-108594
Closed Access | Times Cited: 5

Health of Things Melanoma Detection System—detection and segmentation of melanoma in dermoscopic images applied to edge computing using deep learning and fine-tuning models
José Jerovane da Costa Nascimento, Adriell Gomes Marques, Yasmim Osório Adelino Rodrigues, et al.
Frontiers in Communications and Networks (2024) Vol. 5
Open Access | Times Cited: 5

Dynamically aggregating MLPs and CNNs for skin lesion segmentation with geometry regularization
Chuanbo Qin, Bin Zheng, Junying Zeng, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 238, pp. 107601-107601
Open Access | Times Cited: 11

S3-VAE: A novel Supervised-Source-Separation Variational AutoEncoder algorithm to discriminate tumor cell lines in time-lapse microscopy images
Paola Casti, S. Cardarelli, Maria Colomba Comes, et al.
Expert Systems with Applications (2023) Vol. 232, pp. 120861-120861
Closed Access | Times Cited: 11

Tackling the class imbalanced dermoscopic image classification using data augmentation and GAN
Mostapha Alsaidi, Muhammad Tanveer Jan, Ahmed Altaher, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 16, pp. 49121-49147
Closed Access | Times Cited: 11

CIFF-Net: Contextual image feature fusion for Melanoma diagnosis
Md Awsafur Rahman, Bishmoy Paul, Tanvir Mahmud, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105673-105673
Open Access | Times Cited: 11

Fusion of deep and wavelet feature representation for improved melanoma classification
Sandhya Rani Sahoo, Ratnakar Dash, Ramesh Kumar Mohapatra
Multimedia Tools and Applications (2024) Vol. 83, Iss. 35, pp. 82749-82775
Closed Access | Times Cited: 4

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