Xingxia Dai
Impact in
-
- IoT and Edge/Fog Computing
- Age of Information Optimization
- Caching and Content Delivery
- Information Systems top 5%
- Blockchain Technology Applications and Security
- Cloud Computing and Resource Management
Papers in
-
- IoT and Edge/Fog Computing 9
- Age of Information Optimization 3
-
- Blockchain Technology Applications and Security 2
- Cloud Computing and Resource Management 1
- Co-authors
- Hongbo Jiang (9 shared papers)Zhu Xiao (9 shared papers)John C. S. Lui (3 shared papers)Arun Iyengar (1 shared paper)Schahram Dustdar (4 shared papers)Jiangchuan Liu (3 shared papers)Hongyang Chen (2 shared papers)Mamoun Alazab (1 shared paper)
In The Last Decade
Xingxia Dai
10 papers receiving 921 citations
Xingxia Dai's Hit Papers
Peers
Comparison fields: 5 of 60
- Computer Networks and Communications 738
- Information Systems 241
- Computer Vision and Pattern Recognition 144
- Computer Science Applications 32
- Aerospace Engineering 137
Countries citing papers authored by Xingxia Dai
This map shows the geographic impact of Xingxia Dai'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 Xingxia Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingxia Dai more than expected).
Fields of papers citing papers by Xingxia Dai
This network shows the impact of papers produced by Xingxia Dai. 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 Xingxia Dai. The network helps show where Xingxia Dai may publish in the future.
Co-authors
The 23 scholars most cited alongside Xingxia Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Joint Task Offloading and Resource Allocation for Energy-Constrained Mobile Edge Computing Hit paper breakdown → | 2022 | 246 |
| 2 | Task Co-Offloading for D2D-Assisted Mobile Edge Computing in Industrial Internet of Things Hit paper breakdown → | 2022 | 194 |
| 3 | UAV-Assisted Task Offloading in Vehicular Edge Computing Networks Hit paper breakdown → | 2023 | 176 |
| 4 | 2019 | 149 | |
| 5 | 2022 | 76 | |
| 6 | 2022 | 73 | |
| 7 | 2023 | 13 | |
| 8 | 2025 | 5 | |
| 9 | 2025 | 4 | |
| 10 | 2024 | 3 |
About Xingxia Dai
Xingxia Dai is a scholar working on Computer Networks and Communications, Information Systems, Automotive Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 10 papers that have together received 939 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (9 papers), Age of Information Optimization (3 papers), Transportation and Mobility Innovations (2 papers), Blockchain Technology Applications and Security (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers), Cloud Computing and Resource Management (1 paper), Context-Aware Activity Recognition Systems (1 paper) and Advanced Wireless Communication Technologies (1 paper). The work is most often cited by research in Computer Networks and Communications (738 citations), Information Systems (241 citations), Computer Vision and Pattern Recognition (144 citations), Computer Science Applications (32 citations) and Aerospace Engineering (137 citations). Xingxia Dai has collaborated with scholars based in China, Hong Kong and Austria. Frequent co-authors include Hongbo Jiang, Zhu Xiao, John C. S. Lui, Arun Iyengar, Schahram Dustdar, Jiangchuan Liu, Hongyang Chen, Mamoun Alazab, Geyong Min and Fanzi Zeng. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE Internet of Things Journal, IEEE Transactions on Services Computing and IEEE Transactions on Industrial Informatics.
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.