Yingjuan Tang

24 total papers · 445 total citations
10 papers, 162 citations indexed

About

Yingjuan Tang is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Yingjuan Tang has authored 10 papers receiving a total of 162 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Automotive Engineering, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Media Technology. Recurrent topics in Yingjuan Tang’s work include Autonomous Vehicle Technology and Safety (4 papers), Advanced Neural Network Applications (3 papers) and Electric and Hybrid Vehicle Technologies (2 papers). Yingjuan Tang is often cited by papers focused on Autonomous Vehicle Technology and Safety (4 papers), Advanced Neural Network Applications (3 papers) and Electric and Hybrid Vehicle Technologies (2 papers). Yingjuan Tang collaborates with scholars based in China, Singapore and Canada. Yingjuan Tang's co-authors include Yong Wang, Hongwen He, Qin Li, Yuankai Wu, Hongwen He, Yong Wang, Yong Wang, Ze Luo, Yong Wang and H. Wang and has published in prestigious journals such as Applied Energy, Expert Systems with Applications and Neurocomputing.

Co-authorship network of co-authors of Yingjuan Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Yingjuan Tang. A scholar is included among the top collaborators of Yingjuan Tang 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 Yingjuan Tang. Yingjuan Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Yingjuan Tang

9 papers receiving 157 citations

Fields of papers citing papers by Yingjuan Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yingjuan Tang

Since Specialization
Citations

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

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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2026