Yingjuan Tang
- Automotive Engineering top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering
- Building and Construction
- Co-authors
- Yong WangQin LiHongwen HeYuankai WuZaiqing NieXu GaoWenxian YangJuan Song
- Topics
- Autonomous Vehicle Technology and Safety (5 papers)Advanced Neural Network Applications (4 papers)Electric and Hybrid Vehicle Technologies (2 papers)
In The Last Decade
Yingjuan Tang
11 papers receiving 255 citations
Peers
Comparison fields: 5 of 46
- Automotive Engineering 159
- Electrical and Electronic Engineering 83
- Computer Vision and Pattern Recognition 79
- Control and Systems Engineering 49
- Building and Construction 34
Countries citing papers authored by Yingjuan Tang
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).
Fields of papers citing papers by Yingjuan Tang
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.
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.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | 17 | |
| 6 | 12 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 81 | |
| 11 | 29 | |
| 12 | 107 | |
| 13 | 1 |
About Yingjuan Tang
Yingjuan Tang is a scholar working on Automotive Engineering, Media Technology and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 264 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (5 papers), Advanced Neural Network Applications (4 papers) and Electric and Hybrid Vehicle Technologies (2 papers). The work is most often cited by research in Automotive Engineering (159 citations), Computer Vision and Pattern Recognition (79 citations) and Building and Construction (34 citations). Yingjuan Tang has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Yong Wang, Qin Li, Hongwen He, Yuankai Wu, Hongwen He, Yong Wang, Zaiqing Nie, Xu Gao, Wenxian Yang and Juan Song. Their work appears in journals such as Applied Energy, Expert Systems with Applications and Neurocomputing.
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.