Xingyuan Dai

1.1k citations
49 papers · 588 indexed · h-index 14
Topics
Traffic Prediction and Management Techniques (21 papers)Traffic control and management (16 papers)Autonomous Vehicle Technology and Safety (12 papers)
Partner nations
ChinaMacaoHungary

In The Last Decade

Xingyuan Dai

40 papers receiving 571 citations

Peers

Xingyuan Dai
Comparison fields: 5 of 65
  • Building and Construction 223
  • Control and Systems Engineering 205
  • Transportation 136
  • Computer Vision and Pattern Recognition 116
  • Automotive Engineering 115
Replace Khaled F. Hussain with:
Khaled F. Hussain Egypt
Linbo Luo Singapore
Wanneng Shu China
Yuehu Liu China
Lino Figueiredo Portugal
Lien‐Wu Chen Taiwan
Vassileios Tsetsos Greece
Wuling Huang China
Nasser Mozayani Iran
Scott Pendleton Singapore
Xingyuan Dai relative to Khaled F. Hussain Egypt Khaled F. Hussain's profile →
Citations per field
00.5×5.2×
Khaled F. Hussain · 1×
Citations per year

Countries citing papers authored by Xingyuan Dai

Since Specialization
Citations

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

Fields of papers citing papers by Xingyuan Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingyuan Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Xingyuan Dai. A scholar is included among the top collaborators of Xingyuan 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 Xingyuan Dai. Xingyuan Dai 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 14
2 0
3 14
4 0
5 2
6 4
7 0
8 16
9 8
10 33
11 1
12 0
13 0
14 29
15 2
16 0
17 29
18 21
19 4
20 4

About Xingyuan Dai

Xingyuan Dai is a scholar working on Building and Construction, Automotive Engineering and Transportation, having authored 49 papers that have together received 588 indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (21 papers), Traffic control and management (16 papers) and Autonomous Vehicle Technology and Safety (12 papers). The work is most often cited by research in Transportation (136 citations), Building and Construction (223 citations) and Automotive Engineering (115 citations). Xingyuan Dai has collaborated with scholars based in China, Macao and Hungary. Frequent co-authors include Fei‐Yue Wang, Yilun Lin, Yisheng Lv, Xiao Wang, Li Li, Chao Guo, Li Li, Yue Lu, Rui Fu and Enmin Zhao. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Neurocomputing and Transportation Research Part C Emerging Technologies.

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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