Guang Wang

1.4k citations
95 papers · 1.1k indexed · h-index 19
Topics
Transportation and Mobility Innovations (26 papers)Human Mobility and Location-Based Analysis (17 papers)Electric Vehicles and Infrastructure (14 papers)

In The Last Decade

Guang Wang

82 papers receiving 1.0k citations

Peers

Guang Wang
Comparison fields: 5 of 114
  • Automotive Engineering 344
  • Electrical and Electronic Engineering 307
  • Transportation 191
  • Artificial Intelligence 166
  • Control and Systems Engineering 161
Replace Kai Gao with:
Kai Gao China
Fabio Arena Italy
Shen Wang Ireland
Soufiene Djahel United Kingdom
Ljubo Vlacic Australia
Xisong Dong China
Asad Waqar Malik Pakistan
Lara Codecà Luxembourg
Stelios Timotheou Cyprus
Susana Sargento Portugal
Guang Wang relative to Kai Gao China Kai Gao's profile →
Citations per field
00.5×1.5×2.4×
Kai Gao · 1×
Citations per year

Countries citing papers authored by Guang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Guang Wang. A scholar is included among the top collaborators of Guang 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 Guang Wang. Guang 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
#WorkIndexed citations
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A Review Study on Two Basic Models of DEA
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18
ON THE CONTINUITY PROPERTIES OF THE H_∞ OPTIMAL GAIN
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19
Existence of Solutions of Nonlinear Two-point Boundary Value Problems for Fourth-order Differential Equations
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Traction performance of a model 4wd tractor
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About Guang Wang

Guang Wang is a scholar working on Transportation, Automotive Engineering and Industrial and Manufacturing Engineering, having authored 95 papers that have together received 1.1k indexed citations. Recurring topics across this work include Transportation and Mobility Innovations (26 papers), Human Mobility and Location-Based Analysis (17 papers) and Electric Vehicles and Infrastructure (14 papers). The work is most often cited by research in Automotive Engineering (344 citations), Transportation (191 citations) and Building and Construction (156 citations). Guang Wang has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Desheng Zhang, Tianhua Xu, Yunhuai Liu, Yuan Cao, Shuai Su, Xiaoyang Xie, Tao Tang, Xuekai Wang, Shuai Wang and Huijun Sun. Their work appears in journals such as Acta Materialia, Scientific Reports and Solar Energy.

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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