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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:

Lead federated neuromorphic learning for wireless edge artificial intelligence
Helin Yang, Kwok‐Yan Lam, Liang Xiao, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

Edge AI: A survey
Raghubir Singh, Sukhpal Singh Gill
Internet of Things and Cyber-Physical Systems (2023) Vol. 3, pp. 71-92
Open Access | Times Cited: 153
Anomaly Traffic Detection Based on Communication-Efficient Federated Learning in Space-Air-Ground Integration Network
Haitao Xu, Shuying Han, Xuhui Li, et al.
IEEE Transactions on Wireless Communications (2023) Vol. 22, Iss. 12, pp. 9346-9360
Closed Access | Times Cited: 63
Collaborative and privacy-preserving retired battery sorting for profitable direct recycling via federated machine learning
Shengyu Tao, Haizhou Liu, Chongbo Sun, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 41
Federated Learning-Empowered Mobile Network Management for 5G and Beyond Networks: From Access to Core
Joohyung Lee, Faranaksadat Solat, Tae Yeon Kim, et al.
IEEE Communications Surveys & Tutorials (2024) Vol. 26, Iss. 3, pp. 2176-2212
Closed Access | Times Cited: 22
Spike-based dynamic computing with asynchronous sensing-computing neuromorphic chip
Man Yao, Ole Richter, Guangshe Zhao, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 18
Decentral and Incentivized Federated Learning Frameworks: A Systematic Literature Review
Leon Witt, Mathis Heyer, Kentaroh Toyoda, et al.
IEEE Internet of Things Journal (2022) Vol. 10, Iss. 4, pp. 3642-3663
Open Access | Times Cited: 55
Reinforcement Learning-Based Physical Cross-Layer Security and Privacy in 6G
Xiaozhen Lu, Liang Xiao, Pengmin Li, et al.
IEEE Communications Surveys & Tutorials (2022) Vol. 25, Iss. 1, pp. 425-466
Closed Access | Times Cited: 50
Energy Harvesting UAV-RIS-Assisted Maritime Communications Based on Deep Reinforcement Learning Against Jamming
Helin Yang, Kailong Lin, Liang Xiao, et al.
IEEE Transactions on Wireless Communications (2024) Vol. 23, Iss. 8, pp. 9854-9868
Closed Access | Times Cited: 8
Brain-inspired computing systems: a systematic literature review
Mohamadreza Zolfagharinejad, Unai Alegre-Ibarra, Tao Chen, et al.
The European Physical Journal B (2024) Vol. 97, Iss. 6
Open Access | Times Cited: 8
Reinforcement Learning Based Energy-Efficient Collaborative Inference for Mobile Edge Computing
Yilin Xiao, Liang Xiao, Kunpeng Wan, et al.
IEEE Transactions on Communications (2022) Vol. 71, Iss. 2, pp. 864-876
Closed Access | Times Cited: 32
All‐Optical‐Controlled Excitatory and Inhibitory Synaptic Signaling through Bipolar Photoresponse of an Oxide‐Based Phototransistor
Yen‐Cheng Mi, Ching‐Hsiang Yang, Li‐Chung Shih, et al.
Advanced Optical Materials (2023) Vol. 11, Iss. 14
Closed Access | Times Cited: 17
FedMint: Intelligent Bilateral Client Selection in Federated Learning With Newcomer IoT Devices
Osama Wehbi, Sarhad Arisdakessian, Omar Abdel Wahab, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 23, pp. 20884-20898
Open Access | Times Cited: 16
Learning-Based Reliable and Secure Transmission for UAV-RIS-Assisted Communication Systems
Helin Yang, Shuai Liu, Liang Xiao, et al.
IEEE Transactions on Wireless Communications (2023) Vol. 23, Iss. 7, pp. 6954-6967
Closed Access | Times Cited: 15
Bionic Recognition Technologies Inspired by Biological Mechanosensory Systems
Xiangxiang Zhang, Chang-Guang Wang, Xin Pi, et al.
Advanced Materials (2025)
Closed Access
Mobility-aware decentralized federated learning with joint optimization of local iteration and leader selection for vehicular networks
Dongyu Chen, Tao Deng, Juncheng Jia, et al.
Computer Networks (2025), pp. 111232-111232
Closed Access
Deep-Reinforcement-Learning-Based IRS for Cooperative Jamming Networks Under Edge Computing
Tengyue Zhang, Hong Wen, Yixin Jiang, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 10, pp. 8996-9006
Closed Access | Times Cited: 11
Task-Oriented Explainable Semantic Communications
Shuai Ma, Weining Qiao, Youlong Wu, et al.
IEEE Transactions on Wireless Communications (2023) Vol. 22, Iss. 12, pp. 9248-9262
Open Access | Times Cited: 11
Heterogeneous Federated Learning with Convolutional and Spiking Neural Networks
Yingchao Yu, Yuping Yan, Jisong Cai, et al.
Lecture notes in computer science (2025), pp. 93-105
Closed Access
Efficient Federated Learning for AIoT Applications Using Knowledge Distillation
Tian Liu, Jun Xia, Zhiwei Ling, et al.
IEEE Internet of Things Journal (2022) Vol. 10, Iss. 8, pp. 7229-7243
Open Access | Times Cited: 17
Federated and Asynchronized Learning for Autonomous and Intelligent Things
Linlin You, Sheng Liu, Bing-Ran Zuo, et al.
IEEE Network (2023) Vol. 38, Iss. 2, pp. 286-293
Closed Access | Times Cited: 10
A novel local differential privacy federated learning under multi-privacy regimes
Chun Liu, Youliang Tian, Jinchuan Tang, et al.
Expert Systems with Applications (2023) Vol. 227, pp. 120266-120266
Closed Access | Times Cited: 9
Federated Reinforcement Learning for Electric Vehicles Charging Control on Distribution Networks
Junkai Qian, Yuning Jiang, Xin Liu, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 3, pp. 5511-5525
Open Access | Times Cited: 9
Device Scheduling and Assignment in Hierarchical Federated Learning for Internet of Things
Tinghao Zhang, Kwok‐Yan Lam, Jun Zhao
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 10, pp. 18449-18462
Open Access | Times Cited: 3
Spiking neural networks in the Alexiewicz topology: A new perspective on analysis and error bounds
Bernhard Moser, Michael Lunglmayr
Neurocomputing (2024) Vol. 601, pp. 128190-128190
Open Access | Times Cited: 3
IoTSL: Toward Efficient Distributed Learning for Resource-Constrained Internet of Things
Xingyu Feng, Chengwen Luo, Jiongzhang Chen, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 11, pp. 9892-9905
Closed Access | Times Cited: 7
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