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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 for medical images analyses: A survey
Xiang Yu, Jian Wang, Qingqi Hong, et al.
Neurocomputing (2022) Vol. 489, pp. 230-254
Closed Access | Times Cited: 138

Showing 1-25 of 138 citing articles:

A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
Laith Alzubaidi, Jinshuai Bai, Aiman Al-Sabaawi, et al.
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 317
LViT: Language Meets Vision Transformer in Medical Image Segmentation
Zihan Li, Yunxiang Li, Qingde Li, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 43, Iss. 1, pp. 96-107
Open Access | Times Cited: 105
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: 101
Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization
Yassine Himeur, Somaya Al‐Maadeed, Hamza Kheddar, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 119, pp. 105698-105698
Open Access | Times Cited: 72
A Transfer Learning Approach with a Convolutional Neural Network for the Classification of Lung Carcinoma
Mamoona Humayun, R. Sujatha, Saleh Naif Almuayqil, et al.
Healthcare (2022) Vol. 10, Iss. 6, pp. 1058-1058
Open Access | Times Cited: 67
Enhancing cardiac diagnostics: a deep learning ensemble approach for precise ECG image classification
Ahmed Alsayat, Alshimaa Abdelraof Mahmoud, Saad Alanazi, et al.
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access | Times Cited: 1
Addressing inconsistent labeling with cross image matching for scribble-based medical image segmentation
Jingkun Chen, Wenjian Huang, Jianguo Zhang, et al.
IEEE Transactions on Image Processing (2025) Vol. 34, pp. 842-853
Closed Access | Times Cited: 1
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: 30
A systematic review of deep learning-based cervical cytology screening: from cell identification to whole slide image analysis
Peng Jiang, Xuekong Li, Hui Shen, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. S2, pp. 2687-2758
Open Access | Times Cited: 23
Generalizable disease detection using model ensemble on chest X-ray images
Maider Abad, Jordi Casas-Roma, Ferrán Prados
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 8
Deep learning on medical image analysis
Jiaji Wang, Shuihua Wang‎, Yudong Zhang
CAAI Transactions on Intelligence Technology (2024)
Open Access | Times Cited: 8
SSP: self-supervised pertaining technique for classification of shoulder implants in x-ray medical images: a broad experimental study
Laith Alzubaidi, Mohammed A. Fadhel, Freek Hollman, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 10
Open Access | Times Cited: 8
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
VER-Net: a hybrid transfer learning model for lung cancer detection using CT scan images
Anindita Saha, Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 7
EmbedTrack—Simultaneous Cell Segmentation and Tracking Through Learning Offsets and Clustering Bandwidths
Katharina Löffler, Ralf Mikut
IEEE Access (2022) Vol. 10, pp. 77147-77157
Open Access | Times Cited: 28
Light-Dermo: A Lightweight Pretrained Convolution Neural Network for the Diagnosis of Multiclass Skin Lesions
Abdul Rauf Baig, Qaisar Abbas, Riyad Almakki, et al.
Diagnostics (2023) Vol. 13, Iss. 3, pp. 385-385
Open Access | Times Cited: 19
RICE DISEASE RECOGNITION USING TRANSFER LEARNING XCEPTION CONVOLUTIONAL NEURAL NETWORK
Ahmad Rofiqul Muslikh, De Rosal Ignatius Moses Setiadi, Arnold Adimabua Ojugo
Jurnal Teknik Informatika (Jutif) (2023) Vol. 4, Iss. 6, pp. 1535-1540
Open Access | Times Cited: 17
An Improved Nested U-Net Network for Fluorescence In Situ Hybridization Cell Image Segmentation
Zini Jian, Tianxiang Song, Zhihui Zhang, et al.
Sensors (2024) Vol. 24, Iss. 3, pp. 928-928
Open Access | Times Cited: 5
A Review of Predictive Analytics Models in the Oil and Gas Industries
Putri Azmira R Azmi, Marina Yusoff, Mohamad Taufik Mohd Sallehud-din
Sensors (2024) Vol. 24, Iss. 12, pp. 4013-4013
Open Access | Times Cited: 5
Improved Edge Detection using Morphological Operation to Segmentation of Fingernail Images
Ima Kurniastuti, Teguh Herlambang, Tri Deviasari Wulan, et al.
Journal of Electronics Electromedical Engineering and Medical Informatics (2025) Vol. 7, Iss. 1, pp. 165-175
Open Access
On the use of trajectory data for tackling data scarcity
Gerard Pons, Besim Bilalli, Alberto Abelló, et al.
Information Systems (2025), pp. 102523-102523
Closed Access
A comprehensive survey of transfer dictionary learning
Mengyao Li, Yang Li, Zhengming Li
Neurocomputing (2025), pp. 129322-129322
Closed Access
Benefit from public unlabeled data: A Frangi filter-based pretraining network for 3D cerebrovascular segmentation
Gen Shi, Lu Hao, Hui Hui, et al.
Medical Image Analysis (2025) Vol. 101, pp. 103442-103442
Closed Access
Spatial homogeneity-aware transfer learning for urban flow prediction
Yinghui Liu, Guojiang Shen, Yanjie Fu, et al.
Knowledge and Information Systems (2025)
Closed Access
Transfer Learning for Cancer Diagnosis in Medical Images: A Compendious Study
Navreet Kaur, Rahul Hans
International Journal of Computational Intelligence Systems (2025) Vol. 18, Iss. 1
Open Access
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