Silun Peng

710 citations
23 papers · 486 · h-index 12

Impact in

Papers in

    • Advanced Battery Technologies Research 8
    • Vehicle Dynamics and Control Systems 7
    • Electric and Hybrid Vehicle Technologies 6
    • Autonomous Vehicle Technology and Safety 4
    • Electric Vehicles and Infrastructure 5
    • Advancements in Battery Materials 3

Silun Peng

22 papers receiving 473 citations

Peers

Silun Peng
Comparison fields: 5 of 68
  • Automotive Engineering 324
  • Computer Vision and Pattern Recognition 158
  • Media Technology 57
  • Control and Systems Engineering 100
  • Safety, Risk, Reliability and Quality 38
Replace Shixin Song with:
Shixin Song China
Jingwei Cao China
Chuanxue Song China
Dennis Nienhüser Germany
Naoki Suganuma Japan
Pier Paolo Porta Italy
A. Joos Germany
Joshue Pérez Spain
Yafu Zhou China
Shun Yang China
Silun Peng relative to Shixin Song China Shixin Song's profile →
Citations per field
00.5×1.5×
Shixin Song · 1×
Citations per year

Countries citing papers authored by Silun Peng

Since Specialization
Citations

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

Fields of papers citing papers by Silun Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Silun Peng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Silun Peng Line = papers co-authored together Silun Peng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201989
2 202374
3 201951
4 202046
5 202041
6 202036
7 201726
8 202023
9 202022
10 201719
11 202016
12 201711
13 20189
14 20186
15 20205
16 20174
17 20172
18 20161
19 20251
20 20171

About Silun Peng

Silun Peng is a scholar working on Automotive Engineering, Electrical and Electronic Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering, having authored 23 papers that have together received 486 indexed citations. Recurring topics across this work include Advanced Battery Technologies Research (8 papers), Vehicle Dynamics and Control Systems (7 papers), Electric and Hybrid Vehicle Technologies (6 papers), Electric Vehicles and Infrastructure (5 papers), Autonomous Vehicle Technology and Safety (4 papers), Advanced Neural Network Applications (4 papers), Advancements in Battery Materials (3 papers) and Mechanical Engineering and Vibrations Research (2 papers). The work is most often cited by research in Automotive Engineering (324 citations), Computer Vision and Pattern Recognition (158 citations), Media Technology (57 citations), Control and Systems Engineering (100 citations) and Safety, Risk, Reliability and Quality (38 citations). Silun Peng has collaborated with scholars based in China. Frequent co-authors include Feng Xiao, Shixin Song, Chuanxue Song, Jingwei Cao, Yuan Chen, Fang Zhou, Cheng Chang, Yuan Chen, Xiaoyu Yang and Linhan Bai. Their work appears in journals such as Energies, Sensors, Applied Sciences, Journal Européen des Systèmes Automatisés and Toxicon.

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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