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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:

Convolutional neural networks for medical image analysis: State-of-the-art, comparisons, improvement and perspectives
Hang Yu, Laurence T. Yang, Qingchen Zhang, et al.
Neurocomputing (2021) Vol. 444, pp. 92-110
Closed Access | Times Cited: 269

Showing 1-25 of 269 citing articles:

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
Laith Alzubaidi, Jinglan Zhang, Amjad J. Humaidi, et al.
Journal Of Big Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 4801
Breast cancer detection using deep learning: Datasets, methods, and challenges ahead
Nusrat Mohi Ud Din, Rayees Ahmad Dar, Muzafar Rasool, et al.
Computers in Biology and Medicine (2022) Vol. 149, pp. 106073-106073
Closed Access | Times Cited: 181
Medical image data augmentation: techniques, comparisons and interpretations
Evgin Göçeri
Artificial Intelligence Review (2023) Vol. 56, Iss. 11, pp. 12561-12605
Open Access | Times Cited: 177
Literature review: efficient deep neural networks techniques for medical image analysis
Mohamed A. Abdou
Neural Computing and Applications (2022) Vol. 34, Iss. 8, pp. 5791-5812
Closed Access | Times Cited: 163
Federated Neural Architecture Search for Medical Data Security
Xin Liu, Jianwei Zhao, Jie Li, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 18, Iss. 8, pp. 5628-5636
Closed Access | Times Cited: 120
Multi-task deep learning for medical image computing and analysis: A review
Yan Zhao, Xiuying Wang, Tongtong Che, et al.
Computers in Biology and Medicine (2022) Vol. 153, pp. 106496-106496
Closed Access | Times Cited: 79
Deep learning models for cloud, edge, fog, and IoT computing paradigms: Survey, recent advances, and future directions
Shahnawaz Ahmad, Iman Shakeel, Shabana Mehfuz, et al.
Computer Science Review (2023) Vol. 49, pp. 100568-100568
Closed Access | Times Cited: 75
Deep Learning in Breast Cancer Imaging: State of the Art and Recent Advancements in Early 2024
Alessandro Carriero, Léon Groenhoff, Elizaveta Vologina, et al.
Diagnostics (2024) Vol. 14, Iss. 8, pp. 848-848
Open Access | Times Cited: 27
Drug-resistant Staphylococcus aureus bacteria detection by combining surface-enhanced Raman spectroscopy (SERS) and deep learning techniques
Fatma Uysal Ciloglu, Abdullah Çalışkan, Ayşe Mine Sarıdağ, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 86
Affordable artificial intelligence-based digital pathology for neglected tropical diseases: A proof-of-concept for the detection of soil-transmitted helminths and Schistosoma mansoni eggs in Kato-Katz stool thick smears
Peter Ward, Peter Dahlberg, Ole Lagatie, et al.
PLoS neglected tropical diseases (2022) Vol. 16, Iss. 6, pp. e0010500-e0010500
Open Access | Times Cited: 38
Explainable Deep Learning Methods in Medical Image Classification: A Survey
Cristiano Patrício, João C. Neves, Luís F. Teixeira
ACM Computing Surveys (2023) Vol. 56, Iss. 4, pp. 1-41
Open Access | Times Cited: 36
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
The Nexus of Healthcare and Technology
Pooja Darda, Nikita Matta
Advances in healthcare information systems and administration book series (2024), pp. 261-282
Closed Access | Times Cited: 15
MS-TCNet: An effective Transformer–CNN combined network using multi-scale feature learning for 3D medical image segmentation
Yu Ao, Weili Shi, Bai Ji, et al.
Computers in Biology and Medicine (2024) Vol. 170, pp. 108057-108057
Closed Access | Times Cited: 14
Drug–Drug Interaction Relation Extraction Based on Deep Learning: A Review
Mingliang Dou, Jijun Tang, Prayag Tiwari, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 6, pp. 1-33
Open Access | Times Cited: 12
Shallow and deep learning classifiers in medical image analysis
Francesco Prinzi, Tiziana Currieri, Salvatore Gaglio, et al.
European Radiology Experimental (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 11
Artificial Intelligence-Based Algorithms in Medical Image Scan Segmentation and Intelligent Visual Content Generation—A Concise Overview
Zofia Rudnicka, Janusz Szczepański, Agnieszka Pręgowska
Electronics (2024) Vol. 13, Iss. 4, pp. 746-746
Open Access | Times Cited: 9
Deep learning approaches to detect breast cancer: a comprehensive review
Amir Mohammad Sharafaddini, Kiana Kouhpah Esfahani, N. Mansouri
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 9
Explainable AI in Digestive Healthcare and Gastrointestinal Endoscopy
Miguel Mascarenhas, Francisco Mendes, Miguel Martins, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 2, pp. 549-549
Open Access | Times Cited: 1
Building Better Deep Learning Models Through Dataset Fusion: A Case Study in Skin Cancer Classification with Hyperdatasets
Panagiotis Georgiadis, Emmanouil V. Gkouvrikos, Εleni Vrochidou, et al.
Diagnostics (2025) Vol. 15, Iss. 3, pp. 352-352
Open Access | Times Cited: 1
Advanced Liver Tumour Detection Using Optimized YOLOv8 Modules
M. Samykano, D. Venkatasekhar, G. Shanmugasundaram
International Journal of Computational and Experimental Science and Engineering (2025) Vol. 11, Iss. 2
Open Access | Times Cited: 1
Introducing AI to the molecular tumor board: one direction toward the establishment of precision medicine using large-scale cancer clinical and biological information
Ryuji Hamamoto, Takafumi Koyama, Nobuji Kouno, et al.
Experimental Hematology and Oncology (2022) Vol. 11, Iss. 1
Open Access | Times Cited: 31
The Method of Rolling Bearing Fault Diagnosis Based on Multi-Domain Supervised Learning of Convolution Neural Network
Xuejun Liu, Wei Sun, Hongkun Li, et al.
Energies (2022) Vol. 15, Iss. 13, pp. 4614-4614
Open Access | Times Cited: 29
Raman spectroscopy and convolutional neural networks for monitoring biochemical radiation response in breast tumour xenografts
Alejandra M. Fuentes, Apurva Narayan, Kirsty Milligan, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 17
AI-Assisted Screening of Oral Potentially Malignant Disorders Using Smartphone-Based Photographic Images
Vivek Talwar, Pragya Singh, Nirza Mukhia, et al.
Cancers (2023) Vol. 15, Iss. 16, pp. 4120-4120
Open Access | Times Cited: 17
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