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:

Federated Learning Empowered Real-Time Medical Data Processing Method for Smart Healthcare
Kehua Guo, Tianyu Chen, Sheng Ren, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022) Vol. 21, Iss. 4, pp. 869-879
Closed Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Multi-hop graph pooling adversarial network for cross-domain remaining useful life prediction: A distributed federated learning perspective
Jiusi Zhang, Jilun Tian, Pengfei Yan, et al.
Reliability Engineering & System Safety (2024) Vol. 244, pp. 109950-109950
Closed Access | Times Cited: 52

Federated Learning for Medical Image Analysis with Deep Neural Networks
Sajid Nazir, Mohammad Kaleem
Diagnostics (2023) Vol. 13, Iss. 9, pp. 1532-1532
Open Access | Times Cited: 41

Federated learning for green and sustainable 6G IIoT applications
Vũ Khánh Quý, Dinh C. Nguyen, Dang Van Anh, et al.
Internet of Things (2024) Vol. 25, pp. 101061-101061
Closed Access | Times Cited: 21

A Systematic Review on Federated Learning in Medical Image Analysis
Md Fahimuzzman Sohan, Anas Basalamah
IEEE Access (2023) Vol. 11, pp. 28628-28644
Open Access | Times Cited: 38

A survey on federated learning for security and privacy in healthcare applications
Kristtopher K. Coelho, Michele Nogueira, Alex Borges Vieira, et al.
Computer Communications (2023) Vol. 207, pp. 113-127
Closed Access | Times Cited: 23

Multi-strategy ant colony optimization for multi-level image segmentation: Case study of melanoma
Dong Zhao, Ailiang Qi, Fanhua Yu, et al.
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104647-104647
Closed Access | Times Cited: 17

PETLFC: Parallel ensemble transfer learning based framework for COVID-19 differentiation and prediction using deep convolutional neural network models
Priyavrat Misra, Niranjan Panigrahi, S. Gopal Krishna Patro, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 5, pp. 14211-14233
Closed Access | Times Cited: 17

bSRWPSO-FKNN: A boosted PSO with fuzzy K-nearest neighbor classifier for predicting atopic dermatitis disease
Yupeng Li, Dong Zhao, Zhangze Xu, et al.
Frontiers in Neuroinformatics (2023) Vol. 16
Open Access | Times Cited: 13

SLMFed: A Stage-Based and Layerwise Mechanism for Incremental Federated Learning to Assist Dynamic and Ubiquitous IoT
Linlin You, Zihan Guo, Bing-Ran Zuo, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 9, pp. 16364-16381
Closed Access | Times Cited: 5

Recent methodological advances in federated learning for healthcare
Fan Zhang, Daniel Kreuter, Yi‐Chen Chen, et al.
Patterns (2024) Vol. 5, Iss. 6, pp. 101006-101006
Open Access | Times Cited: 5

Federated Learning Frameworks in Smart e-Healthcare: A Systematic Literature Review with Bias Evaluation
Soumyaranjan Panda, Rajni Dubey, Biswajit Jena, et al.
Applied Soft Computing (2025), pp. 112747-112747
Closed Access

Leveraging the internet of things and optimized deep residual networks for improved foliar disease detection in apple orchards
Sameera Kuppam, P. Swarnalatha
Network Computation in Neural Systems (2025), pp. 1-37
Closed Access

AFCMiner: Finding Absolute Fair Cliques From Attributed Social Networks for Responsible Computational Social Systems
Fei Hao, Yixuan Yang, Jiaxing Shang, et al.
IEEE Transactions on Computational Social Systems (2023) Vol. 10, Iss. 6, pp. 3000-3011
Closed Access | Times Cited: 10

Prediction of monkeypox infection from clinical symptoms with adaptive artificial bee colony-based artificial neural network
Ahmed Muhammed Kalo Hamdan, Dursun Ekmekci
Neural Computing and Applications (2024) Vol. 36, Iss. 22, pp. 13715-13730
Open Access | Times Cited: 3

i-WSN League: Clustered Distributed Learning in Wireless Sensor Networks
Joannes Sam Mertens, Laura Galluccio, Giacomo Morabito
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 20, pp. 17920-17933
Open Access | Times Cited: 8

An Improved Elite Slime Mould Algorithm for Engineering Design
Yuan Li, Jianping Ji, Xuegong Liu, et al.
Computer Modeling in Engineering & Sciences (2023) Vol. 137, Iss. 1, pp. 415-454
Open Access | Times Cited: 7

Shuffled ARSH-FATI: A Novel Meta-Heuristic for Lifetime Maximization of Range-Adjustable Wireless Sensor Networks
Umair Ullah Tariq, Haider Ali, Mubashir Hussain, et al.
IEEE Transactions on Green Communications and Networking (2023) Vol. 7, Iss. 3, pp. 1217-1233
Open Access | Times Cited: 7

Electronic Health Record–Oriented Knowledge Graph System for Collaborative Clinical Decision Support Using Multicenter Fragmented Medical Data: Design and Application Study
Shang Yong, Yu Tian, Kewei Lyu, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e54263-e54263
Open Access | Times Cited: 2

Joint Optimization of Resource Allocation and Data Selection for Fast and Cost-Efficient Federated Edge Learning
Yunjian Jia, Zhen Huang, Jiping Yan, et al.
IEEE Transactions on Cognitive Communications and Networking (2024) Vol. 11, Iss. 1, pp. 594-606
Open Access | Times Cited: 1

Edge-Enhanced QoS Aware Compression Learning for Sustainable Data Stream Analytics
Maryleen Amaizu, Muhammad Ali, Ashiq Anjum, et al.
IEEE Transactions on Sustainable Computing (2023) Vol. 8, Iss. 3, pp. 448-464
Open Access | Times Cited: 4

Federated Learning for Privacy-Preserving Intrusion Detection in Software-Defined Networks
Mubashar Raza, Muhammad Jasim Saeed, Muhammad Bilal Riaz, et al.
IEEE Access (2024) Vol. 12, pp. 69551-69567
Open Access | Times Cited: 1

F2UL: Fairness-Aware Federated Unlearning for Data Trading
Weijian Su, Pengfei Wang, Zhiyi Wang, et al.
IEEE Transactions on Mobile Computing (2024) Vol. 23, Iss. 12, pp. 13539-13555
Closed Access | Times Cited: 1

Energy optimisation in cloud datacentres with MC-TIDE: Mixed Channel Time-series Dense Encoder for workload forecasting
Haowen Zheng, Yao Lu, Zekun Sun, et al.
Applied Energy (2024) Vol. 374, pp. 123903-123903
Closed Access | Times Cited: 1

Privacy-Preserving Healthcare and Medical Data Collaboration Service System Based on Blockchain and Federated Learning
Fang Hu, Siyi Qiu, Xiaolian Yang, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 80, Iss. 2, pp. 2897-2915
Open Access | Times Cited: 1

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