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:

Automated Ensemble for Deep Learning Inference on Edge Computing Platforms
Yang Bai, Lixing Chen, Mohamed Abdel-Mottaleb, et al.
IEEE Internet of Things Journal (2021) Vol. 9, Iss. 6, pp. 4202-4213
Open Access | Times Cited: 14

Showing 14 citing articles:

Bindi: Affective Internet of Things to Combat Gender-Based Violence
José A. Miranda, Esther Rituerto-González, Clara Luis-Mingueza, et al.
IEEE Internet of Things Journal (2022) Vol. 9, Iss. 21, pp. 21174-21193
Open Access | Times Cited: 21

TODO: Task Offloading Decision Optimizer for the efficient provision of offloading schemes
S. Chen, Xingwang Wang, Ya‐Feng Sun
Pervasive and Mobile Computing (2024) Vol. 99, pp. 101892-101892
Closed Access | Times Cited: 2

Task offloading method based on CNN-LSTM-attention for cloud–edge–end collaboration system
S. Liu, Baiyou Qiao, Donghong Han, et al.
Internet of Things (2024) Vol. 26, pp. 101204-101204
Closed Access | Times Cited: 1

Novel Contract-based Runtime Explainability Framework for End-to-End Ensemble Machine Learning Serving
Minh‐Tri Nguyen, Hong‐Linh Truong, Tram Truong-Huu
(2024) Vol. 9, pp. 234-244
Open Access | Times Cited: 1

Compressed Channel-Based Edge Computing for Online Motor Fault Diagnosis With Privacy Protection
Jingfeng Lu, Kang An, Xiaoxian Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 3

Low-Latency Federated Learning via Dynamic Model Partitioning for Healthcare IoT
Peng He, Chunhui Lan, Ali Kashif Bashir, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 10, pp. 4684-4695
Closed Access | Times Cited: 2

Cognitive Data Fusing for Internet of Things Based on Ensemble Learning and Federated Learning
Zhen Gao, Shuang Liu, Yuqi Zhang
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 22992-23001
Closed Access

Robust Federated Learning for Edge Intelligence
Dongxiao Yu, Xiao Zhang, Hanshu He, et al.
Springer optimization and its applications (2024), pp. 323-366
Closed Access

CPN meets learning: Online scheduling for inference service in Computing Power Network
Mingtao Ji, Ji Qi, Lei Jiao, et al.
Computer Networks (2024) Vol. 256, pp. 110903-110903
Closed Access

Todo: Task Offloading Decision Optimizer for the Efficient Provision of Offloading Schemes
Shilin Chen, Xingwang Wang, Ya‐Feng Sun
(2023)
Closed Access

Research on Deep Learning Model and Optimization Algorithm in Edge Computing
Xin Liu, Yue Zhang, Zenghai Wang, et al.
(2023), pp. 242-246
Closed Access

Joint Request Offloading and Resource Allocation for Energy Efficient D2D Enabled Multi-type Inference Services
Ziyu Zeng, Jiale Huang, Jiaxin Wu, et al.
(2023), pp. 213-220
Closed Access

Table of Contents

IEEE Internet of Things Journal (2022) Vol. 9, Iss. 6, pp. i-iii
Open Access

NeuE: Automated Neural Network Ensembles for Edge Intelligence
Yang Bai, Lixing Chen, Jie Xu
IEEE Transactions on Emerging Topics in Computing (2022) Vol. 11, Iss. 2, pp. 485-496
Closed Access

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