Haoye Chai

841 total citations · 2 hit papers
24 papers, 591 citations indexed

About

Haoye Chai is a scholar working on Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Haoye Chai has authored 24 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 10 papers in Information Systems and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Haoye Chai's work include Blockchain Technology Applications and Security (10 papers), IoT and Edge/Fog Computing (7 papers) and Privacy-Preserving Technologies in Data (6 papers). Haoye Chai is often cited by papers focused on Blockchain Technology Applications and Security (10 papers), IoT and Edge/Fog Computing (7 papers) and Privacy-Preserving Technologies in Data (6 papers). Haoye Chai collaborates with scholars based in China, United Kingdom and Australia. Haoye Chai's co-authors include Supeng Leng, Ke Zhang, Yijin Chen, Hanwen Zhang, Sun Mao, Jianhua He, Fan Wu, Tong Li, Yong Li and Depeng Jin and has published in prestigious journals such as IEEE Access, ACM Computing Surveys and IEEE Transactions on Vehicular Technology.

In The Last Decade

Haoye Chai

20 papers receiving 582 citations

Hit Papers

A Hierarchical Blockchain-Enabled Federated Learning Algo... 2020 2026 2022 2024 2020 2025 50 100 150 200

Peers

Haoye Chai
Comparison fields: 5 of 53
  • Information Systems 354
  • Computer Networks and Communications 272
  • Artificial Intelligence 252
  • Electrical and Electronic Engineering 205
  • Building and Construction 44
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Citations per field, relative to Haoye Chai
Haoye Chai · 1×
Citations per year, relative to Haoye Chai
Haoye Chai · 1×

Countries citing papers authored by Haoye Chai

Since Specialization
Citations

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

Fields of papers citing papers by Haoye Chai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haoye Chai

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2
Generative AI Empowered Network Digital Twins: Architecture, Technologies, and Applications breakdown →
26
3 0
4 0
5 1
6 1
7 9
8 5
9 0
10 30
11 3
12 8
13 15
14 8
15 26
16 21
17 47
18 32
19 65
20 4

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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