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:

Dermoscopy Image Classification Based on StyleGAN and DenseNet201
Chen Zhao, Renjun Shuai, Li Ma, et al.
IEEE Access (2021) Vol. 9, pp. 8659-8679
Open Access | Times Cited: 80

Showing 1-25 of 80 citing articles:

Hybrid convolutional neural networks with SVM classifier for classification of skin cancer
Duggani Keerthana, Vipin Venugopal, Malaya Kumar Nath, et al.
Biomedical Engineering Advances (2022) Vol. 5, pp. 100069-100069
Open Access | Times Cited: 147

Application of generative adversarial networks (GAN) for ophthalmology image domains: a survey
Aram You, Jin Kuk Kim, Ik Hee Ryu, et al.
Eye and Vision (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 137

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: 74

Generative AI for synthetic data across multiple medical modalities: A systematic review of recent developments and challenges
Mahmoud K. Ibrahim, Yasmina Al Khalil, Sina Amirrajab, et al.
Computers in Biology and Medicine (2025) Vol. 189, pp. 109834-109834
Open Access | Times Cited: 2

FixCaps: An Improved Capsules Network for Diagnosis of Skin Cancer
Zhangli Lan, Songbai Cai, Xu He, et al.
IEEE Access (2022) Vol. 10, pp. 76261-76267
Open Access | Times Cited: 43

Attention-based generative adversarial network in medical imaging: A narrative review
Jing Zhao, Xiaoyuan Hou, Meiqing Pan, et al.
Computers in Biology and Medicine (2022) Vol. 149, pp. 105948-105948
Closed Access | Times Cited: 41

Multiclass skin lesion classification in dermoscopic images using swin transformer model
Selen Ayas
Neural Computing and Applications (2022) Vol. 35, Iss. 9, pp. 6713-6722
Closed Access | Times Cited: 40

Improving cervical cancer classification with imbalanced datasets combining taming transformers with T2T-ViT
Chen Zhao, Renjun Shuai, Li Ma, et al.
Multimedia Tools and Applications (2022) Vol. 81, Iss. 17, pp. 24265-24300
Open Access | Times Cited: 38

Medical images classification using deep learning: a survey
Rakesh Kumar, Pooja Kumbharkar, Sandeep Vanam, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 7, pp. 19683-19728
Closed Access | Times Cited: 25

Deepfakes and scientific knowledge dissemination
Christopher Doss, Jared Mondschein, Dule Shu, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 24

CerviLearnNet: Advancing cervical cancer diagnosis with reinforcement learning-enhanced convolutional networks
Shakhnoza Muksimova, Sabina Umirzakova, Seung‐Baik Kang, et al.
Heliyon (2024) Vol. 10, Iss. 9, pp. e29913-e29913
Open Access | Times Cited: 14

Federated Deep Learning for Monkeypox Disease Detection on GAN-Augmented Dataset
Dipanjali Kundu, Md. Mahbubur Rahman, Anichur Rahman, et al.
IEEE Access (2024) Vol. 12, pp. 32819-32829
Open Access | Times Cited: 11

Detection of various gastrointestinal tract diseases through a deep learning method with ensemble ELM and explainable AI
Md. Faysal Ahamed, Md. Nahiduzzaman, Md. Rabiul Islam, et al.
Expert Systems with Applications (2024) Vol. 256, pp. 124908-124908
Open Access | Times Cited: 11

An effective multiclass skin cancer classification approach based on deep convolutional neural network
Essam H. Houssein, Doaa A. Abdelkareem, Guang Hu, et al.
Cluster Computing (2024)
Open Access | Times Cited: 8

The use of generative adversarial networks in medical image augmentation
Ahmed Makhlouf, Marina Maayah, Nada Abughanam, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 34, pp. 24055-24068
Open Access | Times Cited: 19

Streamlining plant disease diagnosis with convolutional neural networks and edge devices
Md. Faysal Ahamed, Abdus Salam, Md. Nahiduzzaman, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 29, pp. 18445-18477
Closed Access | Times Cited: 5

Interpretable deep learning architecture for gastrointestinal disease detection: A Tri-stage approach with PCA and XAI
Md. Faysal Ahamed, Fariya Bintay Shafi, Md. Nahiduzzaman, et al.
Computers in Biology and Medicine (2024) Vol. 185, pp. 109503-109503
Closed Access | Times Cited: 5

Cross modality medical image synthesis for improving liver segmentation
Muhammad Rafiq, Hazrat Ali, Ghulam Mujtaba, et al.
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2025) Vol. 13, Iss. 1
Open Access

HSCFNet: Lightweight Convolutional Neural Network for the Classification of Infectious and Non‐Infectious Skin Diseases
Xiangyu Deng, Y. H. Zheng
International Journal of Imaging Systems and Technology (2025) Vol. 35, Iss. 2
Closed Access

A Novel Hybrid K-Means and GMM Machine Learning Model for Breast Cancer Detection
P. Esther Jebarani, N Umadevi, Hien Dang, et al.
IEEE Access (2021) Vol. 9, pp. 146153-146162
Open Access | Times Cited: 39

Research on Object Detection and Recognition Method for UAV Aerial Images Based on Improved YOLOv5
Heng Zhang, Faming Shao, Xiaohui He, et al.
Drones (2023) Vol. 7, Iss. 6, pp. 402-402
Open Access | Times Cited: 15

Skin Lesion Synthesis and Classification Using an Improved DCGAN Classifier
Kavita Behara, Ernest Bhero, John T. Agee
Diagnostics (2023) Vol. 13, Iss. 16, pp. 2635-2635
Open Access | Times Cited: 15

A comprehensive analysis of deep learning and transfer learning techniques for skin cancer classification
Manishi Shakya, Ravindra Patel, Sunil Joshi
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Multiple model visual feature embedding and selection method for an efficient oncular disease classification
Isha Kansal, Vikas Khullar, Preeti Sharma, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Rice Leaves Disease Detection and Classification Using Transfer Learning Technique
Rukhsar, Santosh Kumar Upadhyay
2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) (2022), pp. 2151-2156
Closed Access | Times Cited: 18

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