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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:

Privacy-preserving Time-series Medical Images Analysis Using a Hybrid Deep Learning Framework
Zijie Yue, Shuai Ding, Lei Zhao, et al.
ACM Transactions on Internet Technology (2020) Vol. 21, Iss. 3, pp. 1-21
Closed Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Privacy-preserving artificial intelligence in healthcare: Techniques and applications
Nazish Khalid, Adnan Qayyum, Muhammad Bilal, et al.
Computers in Biology and Medicine (2023) Vol. 158, pp. 106848-106848
Open Access | Times Cited: 198
A Survey on Healthcare Data: A Security Perspective
Amit Kumar Singh, Ashima Anand, Zhihan Lv, et al.
ACM Transactions on Multimedia Computing Communications and Applications (2021) Vol. 17, Iss. 2s, pp. 1-26
Closed Access | Times Cited: 75
Deep Learning Model for House Price Prediction Using Heterogeneous Data Analysis Along With Joint Self-Attention Mechanism
Pei-Ying Wang, Chiao-Ting Chen, Jain-Wun Su, et al.
IEEE Access (2021) Vol. 9, pp. 55244-55259
Open Access | Times Cited: 72
Multi-level graph neural network for text sentiment analysis
Wenxiong Liao, Bi Zeng, Jianqi Liu, et al.
Computers & Electrical Engineering (2021) Vol. 92, pp. 107096-107096
Closed Access | Times Cited: 62
A Deep Learning Approach for Robust, Multi-oriented, and Curved Text Detection
Ramin Ranjbarzadeh, Saeid Jafarzadeh Ghoushchi, Shokofeh Anari, et al.
Cognitive Computation (2022) Vol. 16, Iss. 4, pp. 1979-1991
Closed Access | Times Cited: 46
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images
Wei-Chien Wang, Euijoon Ahn, Dagan Feng, et al.
Deleted Journal (2023) Vol. 20, Iss. 4, pp. 483-513
Open Access | Times Cited: 24
A comprehensive survey and taxonomy on privacy-preserving deep learning
Anh-Tu Tran, The-Dung Luong, Van‐Nam Huynh
Neurocomputing (2024) Vol. 576, pp. 127345-127345
Closed Access | Times Cited: 7
A coupled-GAN architecture to fuse MRI and PET image features for multi-stage classification of Alzheimer’s disease
Chandrajit Choudhury, Tripti Goel, M. Tanveer
Information Fusion (2024) Vol. 109, pp. 102415-102415
Closed Access | Times Cited: 7
Privacy‐preserving data mining and machine learning in healthcare: Applications, challenges, and solutions
Vankamamidi S. Naresh, M. Thamarai
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2023) Vol. 13, Iss. 2
Closed Access | Times Cited: 15
Distributed Computation Offloading and Power Control for UAV-Enabled Internet of Medical Things
Jiakun Gao, Xiaolong Xu, Lianyong Qi, et al.
ACM Transactions on Internet Technology (2024)
Open Access | Times Cited: 5
Lite-MixedNet:Lightweight and efficient hybrid network for medical image segmentation
Zitong Ren, Yongming Li, Liejun Wang, et al.
Pattern Recognition (2025), pp. 111378-111378
Closed Access
Image based appraisal of real estate properties using machine learning algorithm
I. Vasudevan, Md. Mojahidul Islam, Abir Hossain Apon
AIP conference proceedings (2025) Vol. 3162, pp. 020060-020060
Closed Access
Encrypted Data Caching and Learning Framework for Robust Federated Learning-Based Mobile Edge Computing
Chi-Hieu Nguyen, Yuris Mulya Saputra, Dinh Thai Hoang, et al.
IEEE/ACM Transactions on Networking (2024) Vol. 32, Iss. 3, pp. 2705-2720
Open Access | Times Cited: 3
A Novel Comprehensive Watermarking Scheme for Color Images
Shaohua Duan, Hanwen Wang, Yunpeng Liu, et al.
Security and Communication Networks (2020) Vol. 2020, pp. 1-12
Open Access | Times Cited: 19
Privacy-Preserving Machine Learning for Healthcare: Open Challenges and Future Perspectives
Alejandro Guerra-Manzanares, L. Julian Lechuga Lopez, Michail Maniatakos, et al.
Lecture notes in computer science (2023), pp. 25-40
Closed Access | Times Cited: 6
Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series Classification
Dominique Mercier, Adriano Lucieri, Mohsin Munir, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 11, pp. 7834-7842
Open Access | Times Cited: 13
Security analysis of indistinguishable obfuscation for internet of medical things applications
Zhengjun Jing, Chunsheng Gu, Yong Li, et al.
Computer Communications (2020) Vol. 161, pp. 202-211
Closed Access | Times Cited: 14
Addressing the Interoperability of Electronic Health Records: Proposing the TASSIPS Framework
Adetunji Ademola, Carlisle George, Glenford Mapp Ezra
(2024)
Open Access | Times Cited: 1
Addressing the Interoperability of Electronic Health Records: The Technical and Semantic Interoperability, Preserving Privacy and Security Framework
Adetunji Ademola, Carlisle George, Glenford Mapp
Applied System Innovation (2024) Vol. 7, Iss. 6, pp. 116-116
Open Access | Times Cited: 1
Privacy-preserving deep learning in medical informatics: applications, challenges, and solutions
Vankamamidi S. Naresh, M. Thamarai, V. V. L. Divakar Allavarpu
Artificial Intelligence Review (2023) Vol. 56, Iss. S1, pp. 1199-1241
Closed Access | Times Cited: 4
Influence maximization in social networks with privacy protection
Xian-Jie Zhang, Jing Wang, Xiaojing Ma, et al.
Physica A Statistical Mechanics and its Applications (2022) Vol. 607, pp. 128179-128179
Closed Access | Times Cited: 6
Correlation Recurrent Units: A Novel Neural Architecture for Improving the Predictive Performance of Time-Series Data
Sunghyun Sim, Dohee Kim, Hyerim Bae
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 45, Iss. 12, pp. 14266-14283
Open Access | Times Cited: 3
Federated Learning Framework with Straggling Mitigation and Privacy-Awareness for AI-based Mobile Application Services
Yuris Mulya Saputra, Diep N. Nguyen, Dinh Thai Hoang, et al.
IEEE Transactions on Mobile Computing (2022), pp. 1-1
Open Access | Times Cited: 5
Privacy-preserving time series prediction with temporal convolutional neural networks
Alessandro Falcetta, Manuel Roveri
2022 International Joint Conference on Neural Networks (IJCNN) (2022), pp. 1-8
Closed Access | Times Cited: 4
Guided Activity Prediction for Minimally Invasive Surgery Safety Improvement in the Internet of Medical Things
Hao Wang, Shuai Ding, Shanlin Yang, et al.
IEEE Internet of Things Journal (2021) Vol. 9, Iss. 6, pp. 4758-4768
Closed Access | Times Cited: 5
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