Kang Wei

3.7k total citations · 4 hit papers
50 papers, 2.3k citations indexed

About

Kang Wei is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Kang Wei has authored 50 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 18 papers in Electrical and Electronic Engineering and 17 papers in Computer Networks and Communications. Recurrent topics in Kang Wei's work include Privacy-Preserving Technologies in Data (31 papers), Cryptography and Data Security (11 papers) and Stochastic Gradient Optimization Techniques (8 papers). Kang Wei is often cited by papers focused on Privacy-Preserving Technologies in Data (31 papers), Cryptography and Data Security (11 papers) and Stochastic Gradient Optimization Techniques (8 papers). Kang Wei collaborates with scholars based in China, Australia and Hong Kong. Kang Wei's co-authors include Jun Li, Ming Ding, H. Vincent Poor, Chuan Ma, Shi Jin, Howard H. Yang, Farhad Farokhi, Tony Q. S. Quek, Zhu Han and Long Shi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Kang Wei

38 papers receiving 2.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Federated Learning With Differential Privacy: Algorithms and Performance Analysis

2020 1.4k citations Kang Wei, Jun Li et al. IEEE Transactions on Information Forensics and Security profile →
User-Level Privacy-Preserving Federated Learning: Analysis and Performance Optimization

2021 180 citations Kang Wei, Jun Li et al. IEEE Transactions on Mobile Computing profile →
Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation

2021 164 citations Jun Li, Kang Wei et al. IEEE Transactions on Parallel and Distributed Systems profile →
Personalized Federated Learning With Differential Privacy and Convergence Guarantee

2023 97 citations Kang Wei, Jun Li et al. IEEE Transactions on Information Forensics and Security profile →

Peers

Countries citing papers authored by Kang Wei

Since Specialization

Citations

This map shows the geographic impact of Kang Wei's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kang Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kang Wei more than expected).

Fields of papers citing papers by Kang Wei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kang Wei. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kang Wei. The network helps show where Kang Wei may publish in the future.

Co-authorship network of co-authors of Kang Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Kang Wei. A scholar is included among the top collaborators of Kang Wei based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kang Wei. Kang Wei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Research on fault feature extraction for planet-bearing using novel combination operator morphological filtering and stochastic resonance 2025 ·Journal of Sound and Vibration ·Zhile Wang, Jiawei Fan, Yu Guo, Xing Chen, Kang Wei	11
2	Mobility-Aware Utility Maximization in Digital Twin-Enabled Serverless Edge Computing 2024 ·IEEE Transactions on Computers ·Jing Li, Song Guo, Weifa Liang, Jianping Wang, Quan Chen, Wenchao Xu, Kang Wei, Xiaohua Jia	9
3	Mobility and Cost Aware Inference Accelerating Algorithm for Edge Intelligence 2024 ·IEEE Transactions on Mobile Computing ·Xin Yuan, Ning Li, Kang Wei, Wenchao Xu, Quan Chen, Hao Chen, Song Guo	0
4	Blockchain-Aided Wireless Federated Learning: Resource Allocation and Client Scheduling 2024 ·IEEE Internet of Things Journal ·Jun Li, (unknown), Kang Wei, Guangji Chen, Feng Shu, Wen Chen, Shi Jin	1
5	Trustworthy Blockchain-Assisted Federated Learning: Decentralized Reputation Management and Performance Optimization 2024 ·IEEE Internet of Things Journal ·Wenxuan Zhu, Long Shi, Jun Li, Bin Cao, Kang Wei, Zhe Wang, Tao Huang	12
6	Toward Efficient and Secure Object Detection With Sparse Federated Training Over Internet of Vehicles 2024 ·IEEE Transactions on Intelligent Transportation Systems ·Yuwen Qian, (unknown), Chuan Ma, Kang Wei, Ming Ding, Long Shi	3
7	Personalized Federated Learning With Differential Privacy and Convergence Guarantee breakdown → 2023 ·IEEE Transactions on Information Forensics and Security ·Kang Wei, Jun Li, Chuan Ma, Ming Ding, Wen Chen, Jun Wu, Meixia Tao, H. Vincent Poor	97
8	RDP-GAN: A Rényi-Differential Privacy Based Generative Adversarial Network 2023 ·IEEE Transactions on Dependable and Secure Computing ·Chuan Ma, Jun Li, Ming Ding, Bo Liu, Kang Wei, Jian Weng, H. Vincent Poor	15
9	Covert Model Poisoning Against Federated Learning: Algorithm Design and Optimization 2023 ·IEEE Transactions on Dependable and Secure Computing ·Kang Wei, Jun Li, Ming Ding, Chuan Ma, Yo–Seb Jeon, H. Vincent Poor	11
10	Trusted AI in Multiagent Systems: An Overview of Privacy and Security for Distributed Learning 2023 ·Proceedings of the IEEE ·Chuan Ma, Jun Li, Kang Wei, Bo Liu, Ming Ding, Long Yuan, Zhu Han, H. Vincent Poor	43
11	Peak AoI Minimization With Directional Charging for Data Collection at Wireless-Powered Network Edge 2023 ·IEEE Transactions on Services Computing ·Quan Chen, Song Guo, Wenchao Xu, Jing Li, Kang Wei, Zhipeng Cai, Hong Gao	3
12	Amplitude-Varying Perturbation for Balancing Privacy and Utility in Federated Learning 2023 ·IEEE Transactions on Information Forensics and Security ·Xin Yuan, Wei Ni, Ming Ding, Kang Wei, Jun Li, H. Vincent Poor	42
13	X‐ and Ku‐ bands wideband low‐noise phase‐locked loop in 0.13 μm SiGe BiCMOS technology 2022 ·International Journal of RF and Microwave Computer-Aided Engineering ·(unknown), Kang Wei, Wen Wu	1
14	Blockchain Assisted Federated Learning Over Wireless Channels: Dynamic Resource Allocation and Client Scheduling 2022 ·IEEE Transactions on Wireless Communications ·(unknown), Jun Li, Chuan Ma, Kang Wei, Long Shi, Ming Ding, Wen Chen, H. Vincent Poor	38
15	Low-Latency Federated Learning Over Wireless Channels With Differential Privacy 2021 ·IEEE Journal on Selected Areas in Communications ·Kang Wei, Jun Li, Chuan Ma, Ming Ding, Cailian Chen, Shi Jin, Zhu Han, H. Vincent Poor	79
16	Federated Learning With Unreliable Clients: Performance Analysis and Mechanism Design 2021 ·IEEE Internet of Things Journal ·Chuan Ma, Jun Li, Ming Ding, Kang Wei, Wen Chen, H. Vincent Poor	27
17	Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation breakdown → 2021 ·IEEE Transactions on Parallel and Distributed Systems ·Jun Li, (unknown), Kang Wei, Ming Ding, Chuan Ma, Long Shi, Zhu Han, H. Vincent Poor	164
18	User-Level Privacy-Preserving Federated Learning: Analysis and Performance Optimization breakdown → 2021 ·IEEE Transactions on Mobile Computing ·Kang Wei, Jun Li, Ming Ding, Chuan Ma, Hang Su, (unknown), H. Vincent Poor	180
19	Performance Analysis and Optimization in Privacy-Preserving Federated Learning 2020 ·arXiv (Cornell University) ·Kang Wei, Jun Li, Ming Ding, Chuan Ma, Hang Su, (unknown), H. Vincent Poor	7
20	Performance Analysis on Federated Learning with Differential Privacy 2019 ·arXiv (Cornell University) ·Kang Wei, Jun Li, Ming Ding, Chuan Ma, Howard H. Yang, (unknown), Shi Jin, Tony Q. S. Quek, H. Vincent Poor	3

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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