Xiaoyuan Wang

2.7k citations
181 papers · 1.7k indexed · h-index 22
Topics
Traffic Prediction and Management Techniques (36 papers)Autonomous Vehicle Technology and Safety (27 papers)Traffic and Road Safety (27 papers)
Journals
Journal of Clinical OncologySHILAP Revista de lepidopterologíaACS Nano

In The Last Decade

Xiaoyuan Wang

170 papers receiving 1.7k citations

Peers

Xiaoyuan Wang
Comparison fields: 5 of 161
  • Control and Systems Engineering 273
  • Automotive Engineering 264
  • Safety, Risk, Reliability and Quality 191
  • Building and Construction 188
  • Transportation 187
Replace Yi Lin with:
Yi Lin China
Francisco J. Martínez Spain
Hao Tian China
Cheng Cheng China
Wei Zeng China
Dong‐Kyu Kim South Korea
Di Wu China
Zhenning Li China
Giovanni Tesoriere Italy
Minjie Zhang Australia
Xiaoyuan Wang relative to Yi Lin China Yi Lin's profile →
Citations per field
00.5×1.5×2.2×
Yi Lin · 1×
Citations per year

Countries citing papers authored by Xiaoyuan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyuan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyuan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyuan Wang. A scholar is included among the top collaborators of Xiaoyuan Wang 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 Xiaoyuan Wang. Xiaoyuan Wang 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
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A robust optimization model based on conditional expectation for vehicle routing problem with stochastic demands
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About Xiaoyuan Wang

Xiaoyuan Wang is a scholar working on Safety, Risk, Reliability and Quality, Automotive Engineering and Building and Construction, having authored 181 papers that have together received 1.7k indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (36 papers), Autonomous Vehicle Technology and Safety (27 papers) and Traffic and Road Safety (27 papers). The work is most often cited by research in Transportation (187 citations), Automotive Engineering (264 citations) and Safety, Risk, Reliability and Quality (191 citations). Xiaoyuan Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yaqi Liu, Jinglei Zhang, Shuliang Wang, Jianhua Zhang, Yongqing Guo, Jianqiang Wang, Mingzheng Wang, Jiong‐Wei Wang, Suet Yen Chong and Longfei Chen. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and ACS Nano.

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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