Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 GAN-based image synthesis method for skin lesion classification
Zhiwei Qin, Zhao Liu, Ping Zhu, et al.
Computer Methods and Programs in Biomedicine (2020) Vol. 195, pp. 105568-105568
Closed Access | Times Cited: 207

Showing 1-25 of 207 citing articles:

Generative Adversarial Networks in Medical Image augmentation: A review
Yizhou Chen, Xu-Hua Yang, Zihan Wei, et al.
Computers in Biology and Medicine (2022) Vol. 144, pp. 105382-105382
Closed Access | Times Cited: 265
Lack of Transparency and Potential Bias in Artificial Intelligence Data Sets and Algorithms
Roxana Daneshjou, Mary P. Smith, Mary Sun, et al.
JAMA Dermatology (2021) Vol. 157, Iss. 11, pp. 1362-1362
Open Access | Times Cited: 197
Review of the State of the Art of Deep Learning for Plant Diseases: A Broad Analysis and Discussion
Reem Ibrahim Hasan, Suhaila M. Yusuf, Laith Alzubaidi
Plants (2020) Vol. 9, Iss. 10, pp. 1302-1302
Open Access | Times Cited: 175
Multimodal data fusion for cancer biomarker discovery with deep learning
Sandra Steyaert, Marija Pizurica, Divya Nagaraj, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 4, pp. 351-362
Open Access | Times Cited: 124
A review of ensemble learning and data augmentation models for class imbalanced problems: Combination, implementation and evaluation
Azal Ahmad Khan, Omkar Chaudhari, Rohitash Chandra
Expert Systems with Applications (2023) Vol. 244, pp. 122778-122778
Open Access | Times Cited: 116
Deep Learning for Medical Image-Based Cancer Diagnosis
Xiaoyan Jiang, Zuojin Hu, Shuihua Wang‎, et al.
Cancers (2023) Vol. 15, Iss. 14, pp. 3608-3608
Open Access | Times Cited: 103
A survey on deep learning applied to medical images: from simple artificial neural networks to generative models
Pedro Celard, Eva Iglesias, José Manuel Sorribes-Fdez, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 3, pp. 2291-2323
Open Access | Times Cited: 101
Artificial Intelligence in Dermatology Image Analysis: Current Developments and Future Trends
Zhouxiao Li, Konstantin Christoph Koban, Thilo L. Schenck, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 22, pp. 6826-6826
Open Access | Times Cited: 98
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
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
Skin Cancer Classification With Deep Learning: A Systematic Review
Yinhao Wu, Bin Chen, An Zeng, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 70
SMOTified-GAN for Class Imbalanced Pattern Classification Problems
Anurag Sharma, Prabhat Kumar Singh, Rohitash Chandra
IEEE Access (2022) Vol. 10, pp. 30655-30665
Open Access | Times Cited: 69
A survey on training challenges in generative adversarial networks for biomedical image analysis
Muhammad Muneeb Saad, Ruairi O’Reilly, Mubashir Husain Rehmani
Artificial Intelligence Review (2024) Vol. 57, Iss. 2
Open Access | Times Cited: 19
Melanoma Skin Cancer Identification with Explainability Utilizing Mask Guided Technique
L.B. Gamage, Uditha Isuranga, Dulani Meedeniya, et al.
Electronics (2024) Vol. 13, Iss. 4, pp. 680-680
Open Access | Times Cited: 19
A GAN-Based Data Augmentation Method for Imbalanced Multi-Class Skin Lesion Classification
Qichen Su, Haza Nuzly Abdull Hamed, Mohd Adham Isa, et al.
IEEE Access (2024) Vol. 12, pp. 16498-16513
Open Access | Times Cited: 17
Brain tumor segmentation using synthetic MR images - A comparison of GANs and diffusion models
Muhammad Usman Akbar, Måns Larsson, Ida Blystad, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 15
Skin disease diagnosis with deep learning: A review
Hongfeng Li, Yini Pan, Jie Zhao, et al.
Neurocomputing (2021) Vol. 464, pp. 364-393
Open Access | Times Cited: 99
Optical Technologies for the Improvement of Skin Cancer Diagnosis: A Review
Laura Rey-Barroso, Sara Peña-Gutiérrez, Carlos Yáñez Canal, et al.
Sensors (2021) Vol. 21, Iss. 1, pp. 252-252
Open Access | Times Cited: 79
Computer vision for microscopic skin cancer diagnosis using handcrafted and non‐handcrafted features
Tanzila Saba
Microscopy Research and Technique (2021) Vol. 84, Iss. 6, pp. 1272-1283
Open Access | Times Cited: 73
Skin Lesion Classification Based on Deep Convolutional Neural Networks Architectures
Jwan Najeeb Saeed, Subhi R. M. Zeebaree
Journal of Applied Science and Technology Trends (2021) Vol. 2, Iss. 01, pp. 41-51
Open Access | Times Cited: 61
The Role of Generative Adversarial Network in Medical Image Analysis: An In-depth Survey
Manal Alamir, Manal Alghamdi
ACM Computing Surveys (2022) Vol. 55, Iss. 5, pp. 1-36
Closed Access | Times Cited: 60
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: 59
Deep learning data augmentation for Raman spectroscopy cancer tissue classification
Man Wu, Shuwen Wang, Shirui Pan, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 57
A comprehensive survey of deep learning research on medical image analysis with focus on transfer learning
Sema Atasever, Nuh Azgınoglu, Duygu Sinanç Terzi, et al.
Clinical Imaging (2022) Vol. 94, pp. 18-41
Closed Access | Times Cited: 56
Transfer Learning with Ensembles of Deep Neural Networks for Skin Cancer Detection in Imbalanced Data Sets
Aqsa Saeed Qureshi, Teemu Roos
Neural Processing Letters (2022) Vol. 55, Iss. 4, pp. 4461-4479
Open Access | Times Cited: 52
Page 1 - Next Page

Scroll to top