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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:

Transfer learning techniques for medical image analysis: A review
Padmavathi Kora, Chui Ping Ooi, Oliver Faust, et al.
Journal of Applied Biomedicine (2021) Vol. 42, Iss. 1, pp. 79-107
Closed Access | Times Cited: 234

Showing 1-25 of 234 citing articles:

A comprehensive review of deep neural networks for medical image processing: Recent developments and future opportunities
Pawan Kumar Mall, Pradeep Kumar Singh, Swapnita Srivastav, et al.
Healthcare Analytics (2023) Vol. 4, pp. 100216-100216
Open Access | Times Cited: 105
Breast cancer diagnosis: A systematic review
Xin Wen, Xing Guo, Shuihua Wang‎, et al.
Journal of Applied Biomedicine (2024) Vol. 44, Iss. 1, pp. 119-148
Open Access | Times Cited: 17
An Integrated Deep Learning Model for Skin Cancer Detection Using Hybrid Feature Fusion Technique
Maksuda Akter, Rabea Khatun, Md. Alamin Talukder, et al.
Deleted Journal (2025)
Open Access | Times Cited: 2
Detection of pneumonia using convolutional neural networks and deep learning
Patrik Szepesi, László Szilágyi
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 3, pp. 1012-1022
Open Access | Times Cited: 68
Heart rate variability for medical decision support systems: A review
Oliver Faust, Wanrong Hong, Hui Wen Loh, et al.
Computers in Biology and Medicine (2022) Vol. 145, pp. 105407-105407
Closed Access | Times Cited: 55
An Accurate Multiple Sclerosis Detection Model Based on Exemplar Multiple Parameters Local Phase Quantization: ExMPLPQ
Gülay MAÇİN, Burak Taşçı, İrem Taşçı, et al.
Applied Sciences (2022) Vol. 12, Iss. 10, pp. 4920-4920
Open Access | Times Cited: 40
Robust Classification and Detection of Big Medical Data Using Advanced Parallel K-Means Clustering, YOLOv4, and Logistic Regression
Fouad H. Awad, Murtadha M. Hamad, Laith Alzubaidi
Life (2023) Vol. 13, Iss. 3, pp. 691-691
Open Access | Times Cited: 35
Alexnet architecture variations with transfer learning for classification of wound images
Hüseyin Eldem, Erkan Ülker, Osman Yaşar Işıklı
Engineering Science and Technology an International Journal (2023) Vol. 45, pp. 101490-101490
Open Access | Times Cited: 31
Classifying breast cancer using transfer learning models based on histopathological images
Meghavi Rana, Megha Bhushan
Neural Computing and Applications (2023) Vol. 35, Iss. 19, pp. 14243-14257
Closed Access | Times Cited: 24
Programming nonlinear propagation for efficient optical learning machines
İlker Oğuz, Jih-Liang Hsieh, Niyazi Ulaş Dinç, et al.
Advanced Photonics (2024) Vol. 6, Iss. 01
Open Access | Times Cited: 14
Comparison of fine-tuning strategies for transfer learning in medical image classification
Ana Davila, Jacinto Colan, Yasuhisa Hasegawa
Image and Vision Computing (2024) Vol. 146, pp. 105012-105012
Open Access | Times Cited: 14
An ensemble deep learning framework for foetal plane identification
Seena Thomas, Sandhya Harikumar
International Journal of Information Technology (2024) Vol. 16, Iss. 3, pp. 1377-1386
Closed Access | Times Cited: 12
Sky image-based solar forecasting using deep learning with heterogeneous multi-location data: Dataset fusion versus transfer learning
Yuhao Nie, Quentin Paletta, Andea Scott, et al.
Applied Energy (2024) Vol. 369, pp. 123467-123467
Open Access | Times Cited: 12
A comprehensive review of model compression techniques in machine learning
Pierre V. Dantas, Waldir Sabino da Silva, Lucas C. Cordeiro, et al.
Applied Intelligence (2024) Vol. 54, Iss. 22, pp. 11804-11844
Open Access | Times Cited: 12
Deep learning on medical image analysis
Jiaji Wang, Shuihua Wang‎, Yudong Zhang
CAAI Transactions on Intelligence Technology (2024)
Open Access | Times Cited: 8
Deep learning in radiology for lung cancer diagnostics: A systematic review of classification, segmentation, and predictive modeling techniques
Anirudh Atmakuru, Subrata Chakraborty, Oliver Faust, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124665-124665
Closed Access | Times Cited: 8
Eight quick tips for biologically and medically informed machine learning
Luca Oneto, Davide Chicco
PLoS Computational Biology (2025) Vol. 21, Iss. 1, pp. e1012711-e1012711
Open Access | Times Cited: 1
A comparative study of statistical, radiomics, and deep learning feature extraction techniques for medical image classification in optical and radiological modalities
Pegah Dehbozorgi, Oleg Ryabchykov, Thomas Bocklitz
Computers in Biology and Medicine (2025) Vol. 187, pp. 109768-109768
Open Access | Times Cited: 1
Automatic recognition of earth rock embankment leakage based on UAV passive infrared thermography and deep learning
Renlian Zhou, Zhiping Wen, Huaizhi Su
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 191, pp. 85-104
Closed Access | Times Cited: 29
Automatic Classification System for Periapical Lesions in Cone-Beam Computed Tomography
Maria Alice Andrade Calazans, Felipe A. B. S. Ferreira, Maria de Lourdes Melo Guedes Alcoforado, et al.
Sensors (2022) Vol. 22, Iss. 17, pp. 6481-6481
Open Access | Times Cited: 29
A comparative study of the inter-observer variability on Gleason grading against Deep Learning-based approaches for prostate cancer
Jose Manuel Marron-Esquivel, Lourdes Durán-López, A. Linares-Barranco, et al.
Computers in Biology and Medicine (2023) Vol. 159, pp. 106856-106856
Open Access | Times Cited: 19
Collaborative training of medical artificial intelligence models with non-uniform labels
Soroosh Tayebi Arasteh, Peter Isfort, Marwin Saehn, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 17
The Application of Deep Learning for the Segmentation and Classification of Coronary Arteries
Şerife Kaba, Hüseyin Hacı, Ali Işın, et al.
Diagnostics (2023) Vol. 13, Iss. 13, pp. 2274-2274
Open Access | Times Cited: 17
CdcSegNet: Automatic COVID-19 Infection Segmentation From CT Images
Ju Zhang, Dechen Chen, Dong Ma, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-13
Closed Access | Times Cited: 16
Selecting reliable instances based on evidence theory for transfer learning
Ying Lv, Bofeng Zhang, Xiaodong Yue, et al.
Expert Systems with Applications (2024) Vol. 250, pp. 123739-123739
Open Access | Times Cited: 7
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