Bingtao Ren

782 citations
22 papers · 628 indexed · h-index 9
Topics
Vehicle Dynamics and Control Systems (13 papers)Electric and Hybrid Vehicle Technologies (11 papers)Real-time simulation and control systems (10 papers)
Partner nations
ChinaUnited Kingdom

In The Last Decade

Bingtao Ren

20 papers receiving 609 citations

Peers

Bingtao Ren
Comparison fields: 5 of 39
  • Automotive Engineering 564
  • Control and Systems Engineering 294
  • Mechanical Engineering 210
  • Electrical and Electronic Engineering 118
  • Civil and Structural Engineering 64
Replace Dzmitry Savitski with:
Dzmitry Savitski Germany
Dejun Yin China
Jasper De Smet Belgium
Qihuai Chen China
Tianmin Sun China
Guoying Chen China
Haoling Ren China
Nobuyoshi Mutoh Japan
Anil Kunnappillil Madhusudhanan United Kingdom
Bingtao Ren relative to Dzmitry Savitski Germany Dzmitry Savitski's profile →
Citations per field
00.5×1.5×
Dzmitry Savitski · 1×
Citations per year

Countries citing papers authored by Bingtao Ren

Since Specialization
Citations

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

Fields of papers citing papers by Bingtao Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bingtao Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Bingtao Ren. A scholar is included among the top collaborators of Bingtao Ren 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 Bingtao Ren. Bingtao Ren 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 18
5 1
6 14
7 1
8 4
9 1
10 134
11 4
12 22
13 91
14 19
15 6
16 160
17 54
18 3
19 7
20 74

About Bingtao Ren

Bingtao Ren is a scholar working on Automotive Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 628 indexed citations. Recurring topics across this work include Vehicle Dynamics and Control Systems (13 papers), Electric and Hybrid Vehicle Technologies (11 papers) and Real-time simulation and control systems (10 papers). The work is most often cited by research in Automotive Engineering (564 citations), Control and Systems Engineering (294 citations) and Mechanical Engineering (210 citations). Bingtao Ren has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Hong Chen, Haiyan Zhao, Lei Yuan, Weiwen Deng, Bingzhao Gao, Juan Ding, Lisheng Zhang, Hao Zhou, Bin Ma and Xinhua Liu. Their work appears in journals such as Journal of Power Sources, Journal of the Franklin Institute and IEEE/ASME Transactions on Mechatronics.

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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