Wei Cai

3.5k citations
131 papers · 2.1k indexed · 2 hit papers · h-index 23
Topics
Blockchain Technology Applications and Security (46 papers)IoT and Edge/Fog Computing (26 papers)Cloud Computing and Resource Management (24 papers)
Partner nations
ChinaCanadaHong Kong

In The Last Decade

Wei Cai

118 papers receiving 2.0k citations

Hit Papers

Decentralized Applications: The Blockchain-Empowered Soft...20182026202020232018201850100150200250

Peers

Wei Cai
Comparison fields: 5 of 103
  • Information Systems 1.1k
  • Computer Networks and Communications 928
  • Artificial Intelligence 457
  • Computer Vision and Pattern Recognition 369
  • Electrical and Electronic Engineering 231
Replace Davy Preuveneers with:
Davy Preuveneers Belgium
Prasad Calyam United States
Lo’ai Tawalbeh United States
Edgar Weippl Austria
Zibin Zheng China
Ivano Malavolta Netherlands
Aad van Moorsel United Kingdom
Hongming Cai China
Hausi Müller Canada
Lalana Kagal United States
Wei Cai relative to Davy Preuveneers Belgium Davy Preuveneers's profile →
Citations per field
00.5×1.5×2.0×
Davy Preuveneers · 1×
Citations per year

Countries citing papers authored by Wei Cai

Since Specialization
Citations

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

Fields of papers citing papers by Wei Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Cai. A scholar is included among the top collaborators of Wei Cai 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 Wei Cai. Wei Cai 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
#WorkIndexed citations
1 0
2 0
3 0
4 3
5 4
6 2
7 3
8 1
9 22
10 1
11 1
12 4
13 5
14 7
15 76
16 10
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18 2
19
Angle Gap (AG) based Grouping Algorithm for Multi-Mobile Agents Itinerary Planning in Wireless Sensor Networks
1
20
A framework of distributed dynamic multi-radio multi-channel multi-path routing protocol in Wireless Mesh Networks
3

About Wei Cai

Wei Cai is a scholar working on Information Systems, Computer Networks and Communications and Human-Computer Interaction, having authored 131 papers that have together received 2.1k indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (46 papers), IoT and Edge/Fog Computing (26 papers) and Cloud Computing and Resource Management (24 papers). The work is most often cited by research in Information Systems (1.1k citations), Computer Networks and Communications (928 citations) and Signal Processing (212 citations). Wei Cai has collaborated with scholars based in China, Canada and Hong Kong. Frequent co-authors include Victor C. M. Leung, Zehua Wang, Zhen Hong, Min Chen, Jason B. Ernst, Chen Feng, Qiang Liu, Wentao Zhao, Shui Yu and Pan Li. Their work appears in journals such as Proceedings of the IEEE, IEEE Access and IEEE Journal on Selected Areas in Communications.

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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