Xuewu Dai
- Control and Systems Engineering top 1%
- Electrical and Electronic Engineering top 10%
- Computer Networks and Communications top 5%
- Mechanical Engineering top 10%
- Artificial Intelligence top 5%
- Co-authors
- Zhiwei GaoHui ZhaoJinliang DingTianyou ChaiTim BreikinHong WangFei QinYang Yang
- Topics
- Fault Detection and Control Systems (20 papers)Railway Systems and Energy Efficiency (16 papers)Network Time Synchronization Technologies (13 papers)
- Cited by
- Control and Systems EngineeringIndustrial and Manufacturing EngineeringComputer Networks and Communications
- Journals
- IEEE Transactions on Automatic ControlIEEE Transactions on Industrial ElectronicsIEEE Transactions on Signal Processing
- Partner nations
- ChinaUnited KingdomNetherlands
In The Last Decade
Xuewu Dai
76 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Control and Systems Engineering 788
- Electrical and Electronic Engineering 433
- Computer Networks and Communications 373
- Mechanical Engineering 331
- Artificial Intelligence 299
Countries citing papers authored by Xuewu Dai
This map shows the geographic impact of Xuewu 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 Xuewu Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuewu Dai more than expected).
Fields of papers citing papers by Xuewu Dai
This network shows the impact of papers produced by Xuewu 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 Xuewu Dai. The network helps show where Xuewu Dai may publish in the future.
Co-authorship network of co-authors of Xuewu Dai
This figure shows the co-authorship network connecting the top 25 collaborators of Xuewu Dai. A scholar is included among the top collaborators of Xuewu Dai 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 Xuewu Dai. Xuewu Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 7 | |
| 9 | 3 | |
| 10 | 13 | |
| 11 | 6 | |
| 12 | 7 | |
| 13 | 16 | |
| 14 | 9 | |
| 15 | 23 | |
| 16 | SEEV4-City approach to KPI Methodology | 1 |
| 17 | State-of-the-Art Assessment of Smart Charging and Vehicle 2 Grid services | 2 |
| 18 | 31 | |
| 19 | 43 | |
| 20 | 32 |
About Xuewu Dai
Xuewu Dai is a scholar working on Industrial and Manufacturing Engineering, Computer Networks and Communications and Control and Systems Engineering, having authored 86 papers that have together received 1.6k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (20 papers), Railway Systems and Energy Efficiency (16 papers) and Network Time Synchronization Technologies (13 papers). The work is most often cited by research in Control and Systems Engineering (788 citations), Industrial and Manufacturing Engineering (231 citations) and Computer Networks and Communications (373 citations). Xuewu Dai has collaborated with scholars based in China, United Kingdom and Netherlands. Frequent co-authors include Zhiwei Gao, Hui Zhao, Jinliang Ding, Tianyou Chai, Tim Breikin, Hong Wang, Fei Qin, Yang Yang, Ping Zhou and John Mitchell. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Industrial Electronics and IEEE Transactions on Signal Processing.
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.