Yunli Shao

796 citations
43 papers · 563 indexed · h-index 12
Topics
Traffic control and management (33 papers)Vehicle emissions and performance (18 papers)Traffic Prediction and Management Techniques (13 papers)

In The Last Decade

Yunli Shao

37 papers receiving 555 citations

Peers

Yunli Shao
Comparison fields: 5 of 58
  • Automotive Engineering 412
  • Control and Systems Engineering 357
  • Transportation 160
  • Electrical and Electronic Engineering 142
  • Building and Construction 104
Replace Michael Lammert with:
Michael Lammert United States
Behrang Asadi United States
Bao‐Lin Ye China
Raj Kishore Kamalanathsharma United States
Johan Olstam Sweden
Giovanni De Nunzio France
Martin Fellendorf Austria
Nianfeng Wan United States
Yunli Shao relative to Michael Lammert United States Michael Lammert's profile →
Citations per field
00.5×
Michael Lammert · 1×
Citations per year

Countries citing papers authored by Yunli Shao

Since Specialization
Citations

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

Fields of papers citing papers by Yunli Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunli Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Yunli Shao. A scholar is included among the top collaborators of Yunli Shao 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 Yunli Shao. Yunli Shao 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 1
2 0
3 0
4 0
5 0
6 2
7 11
8 0
9 6
10 2
11 6
12 1
13 10
14 7
15 41
16
Evaluating Fuel Economy of Connected and Autonomous Vehicles under Different Traffic Factors
1
17 37
18 3
19 11
20 9

About Yunli Shao

Yunli Shao is a scholar working on Automotive Engineering, Transportation and Control and Systems Engineering, having authored 43 papers that have together received 563 indexed citations. Recurring topics across this work include Traffic control and management (33 papers), Vehicle emissions and performance (18 papers) and Traffic Prediction and Management Techniques (13 papers). The work is most often cited by research in Automotive Engineering (412 citations), Transportation (160 citations) and Control and Systems Engineering (357 citations). Yunli Shao has collaborated with scholars based in United States, China and Georgia. Frequent co-authors include Zongxuan Sun, Peter Huang, Jia Hu, Joe Bared, Meng Wang, Chieh Wang, Shian Wang, Michael W. Levin, Tim J. LaClair and Yang Shi. Their work appears in journals such as Scientific Reports, IEEE Transactions on Vehicular Technology and IEEE Transactions on Intelligent Transportation Systems.

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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