Zheng Chai

767 total citations
9 papers, 210 citations indexed

About

Zheng Chai is a scholar working on Artificial Intelligence, Computer Networks and Communications and Materials Chemistry. According to data from OpenAlex, Zheng Chai has authored 9 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Computer Networks and Communications and 2 papers in Materials Chemistry. Recurrent topics in Zheng Chai's work include Privacy-Preserving Technologies in Data (4 papers), Cryptography and Data Security (3 papers) and Stochastic Gradient Optimization Techniques (3 papers). Zheng Chai is often cited by papers focused on Privacy-Preserving Technologies in Data (4 papers), Cryptography and Data Security (3 papers) and Stochastic Gradient Optimization Techniques (3 papers). Zheng Chai collaborates with scholars based in China, United States and Canada. Zheng Chai's co-authors include Yue Cheng, Ali Anwar, Yujing Chen, Huzefa Rangwala, Liang Zhao, Yue Hao, Jincheng Zhang, Yi Zhou, Nathalie Baracaldo and Weiwei Cai and has published in prestigious journals such as Carbon, IEEE Internet of Things Journal and IEEE Transactions on Automation Science and Engineering.

In The Last Decade

Zheng Chai

9 papers receiving 204 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Zheng Chai China 6 137 81 43 37 30 9 210
Muhammad Shayan China 6 207 1.5× 35 0.4× 121 2.8× 23 0.6× 39 1.3× 9 288
Boning Feng Norway 8 35 0.3× 149 1.8× 49 1.1× 7 0.2× 72 2.4× 27 240
Leobino N. Sampaio Brazil 9 34 0.2× 213 2.6× 51 1.2× 4 0.1× 72 2.4× 43 256
Afaf Taïk Canada 4 79 0.6× 48 0.6× 17 0.4× 10 0.3× 85 2.8× 7 137
Mohammadkazem Taram United States 7 156 1.1× 68 0.8× 15 0.3× 5 0.1× 65 2.2× 15 225
Mohammad Masudur Rahman Bangladesh 9 40 0.3× 45 0.6× 41 1.0× 16 0.4× 33 1.1× 29 177
Yae Jee Cho South Korea 7 99 0.7× 26 0.3× 16 0.4× 11 0.3× 116 3.9× 11 253
Stephan Neuhaus Switzerland 6 72 0.5× 116 1.4× 401 9.3× 5 0.1× 16 0.5× 19 490
Zhongmei Yao United States 9 40 0.3× 244 3.0× 29 0.7× 3 0.1× 42 1.4× 20 330
Yuanfeng Song Hong Kong 8 121 0.9× 13 0.2× 38 0.9× 10 0.3× 27 0.9× 47 185

Countries citing papers authored by Zheng Chai

Since Specialization
Citations

This map shows the geographic impact of Zheng Chai'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 Zheng Chai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zheng Chai more than expected).

Fields of papers citing papers by Zheng Chai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zheng Chai. 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 Zheng Chai. The network helps show where Zheng Chai may publish in the future.

Co-authorship network of co-authors of Zheng Chai

This figure shows the co-authorship network connecting the top 25 collaborators of Zheng Chai. A scholar is included among the top collaborators of Zheng Chai 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 Zheng Chai. Zheng Chai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Chen, Qian, Zheng Chai, Zilong Wang, et al.. (2024). QP-LDP for Better Global Model Performance in Federated Learning. IEEE Internet of Things Journal. 11(15). 25968–25981. 3 indexed citations
2.
Chai, Zheng, Jiaye Wang, & Chunhui Zhao. (2024). Walk Before You Can Run: Sampling-Rate-Aware Sequential Knowledge Transfer for Multirate Process Anomaly Detection. IEEE Transactions on Automation Science and Engineering. 22. 8725–8737. 2 indexed citations
3.
Chen, Qian, et al.. (2022). QP-LDP for better global model performance in federated learning. 1. 422–426. 1 indexed citations
4.
Chai, Zheng, Yujing Chen, Ali Anwar, et al.. (2021). FedAT. 1–16. 89 indexed citations
5.
Chen, Yujing, Zheng Chai, Yue Cheng, & Huzefa Rangwala. (2021). Asynchronous Federated Learning for Sensor Data with Concept Drift. 2021 IEEE International Conference on Big Data (Big Data). 4822–4831. 34 indexed citations
6.
Chai, Zheng, Ali Anwar, Yi Zhou, et al.. (2019). Towards Taming the Resource and Data Heterogeneity in Federated Learning. 19–21. 19 indexed citations
7.
Cheng, Yue, Zheng Chai, & Ali Anwar. (2018). Characterizing Co-located Datacenter Workloads. 1–3. 36 indexed citations
8.
Hao, Yue, et al.. (2015). Effects of the flow rate of hydrogen on the growth of graphene. International Journal of Minerals Metallurgy and Materials. 22(1). 102–110. 9 indexed citations
9.
Ning, Jing, Dong Wang, Zheng Chai, et al.. (2014). Combined effects of hydrogen annealing on morphological, electrical and structural properties of graphene/r-sapphire. Carbon. 75. 262–270. 17 indexed citations

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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