Shuanfeng Zhao

804 citations
53 papers · 617 indexed · h-index 13
Topics
Autonomous Vehicle Technology and Safety (8 papers)Mineral Processing and Grinding (6 papers)Advanced Neural Network Applications (6 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsConstruction and Building Materials

In The Last Decade

Shuanfeng Zhao

52 papers receiving 600 citations

Peers

Shuanfeng Zhao
Comparison fields: 5 of 95
  • Control and Systems Engineering 228
  • Mechanical Engineering 226
  • Mechanics of Materials 96
  • Computer Vision and Pattern Recognition 92
  • Electrical and Electronic Engineering 84
Replace Shuang Liu with:
Shuang Liu China
Yang Zhao-jian China
Zujun Yu China
Hongxing Wei China
Shubin Zheng China
Harutoshi Ogai Japan
Peng Dai China
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Zechao Wang China
Shuanfeng Zhao relative to Shuang Liu China Shuang Liu's profile →
Citations per field
00.5×1.5×2.0×
Shuang Liu · 1×
Citations per year

Countries citing papers authored by Shuanfeng Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Shuanfeng Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuanfeng Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Shuanfeng Zhao. A scholar is included among the top collaborators of Shuanfeng Zhao 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 Shuanfeng Zhao. Shuanfeng Zhao 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 4
2 1
3 61
4 3
5 12
6 1
7 3
8 2
9 11
10 12
11 5
12 4
13 9
14 21
15 17
16 8
17 5
18 9
19 6
20 5

About Shuanfeng Zhao

Shuanfeng Zhao is a scholar working on Automotive Engineering, Geology and Control and Systems Engineering, having authored 53 papers that have together received 617 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (8 papers), Mineral Processing and Grinding (6 papers) and Advanced Neural Network Applications (6 papers). The work is most often cited by research in Control and Systems Engineering (228 citations), Mechanical Engineering (226 citations) and Computer Vision and Pattern Recognition (92 citations). Shuanfeng Zhao has collaborated with scholars based in China, Australia and Switzerland. Frequent co-authors include Zhizhong Xing, Guanghua Xu, Liang Lin, Jing Wang, Wenming Zhang, Xiaojun Guo, Tangfei Tao, Haitao He, Gao‐Feng Zhao and Lin Liang. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Construction and Building Materials.

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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