Shen Niu

500 total citations
30 papers, 361 citations indexed

About

Shen Niu is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, Shen Niu has authored 30 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Electrical and Electronic Engineering, 21 papers in Mechanical Engineering and 20 papers in Biomedical Engineering. Recurrent topics in Shen Niu's work include Advanced Machining and Optimization Techniques (28 papers), Advanced Surface Polishing Techniques (19 papers) and Advanced machining processes and optimization (18 papers). Shen Niu is often cited by papers focused on Advanced Machining and Optimization Techniques (28 papers), Advanced Surface Polishing Techniques (19 papers) and Advanced machining processes and optimization (18 papers). Shen Niu collaborates with scholars based in China and United States. Shen Niu's co-authors include Hansong Li, Ningsong Qu, Ningsong Qu, Pingmei Ming, Xiaolong Fang, Xinmin Zhang, Xinchao Li, Wei Wang, Pingmei Ming and Yan Liang and has published in prestigious journals such as Journal of The Electrochemical Society, Scientific Reports and Journal of Materials Processing Technology.

In The Last Decade

Shen Niu

26 papers receiving 331 citations

Peers

Shen Niu
Comparison fields: 5 of 31
  • Electrical and Electronic Engineering 320
  • Mechanical Engineering 266
  • Biomedical Engineering 245
  • Materials Chemistry 37
  • Automotive Engineering 27
Replace Murat Kıyak with:
Murat Kıyak Türkiye
Farhat Ghanem Tunisia
Kun-Ling Wu Taiwan
Mike Zinecker Germany
Yongcheng Ge China
Gudipadu Venkatesh India
T. R. Ablyaz Russia
Zhiwen Nian China
L. Li China
Radim Zahradníček Czechia
Murat Kıyak Türkiye View profile →
Citations per field, relative to Shen Niu
Shen Niu · 1×
Citations per year, relative to Shen Niu
Shen Niu · 1×

Countries citing papers authored by Shen Niu

Since Specialization
Citations

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

Fields of papers citing papers by Shen Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shen Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Shen Niu. A scholar is included among the top collaborators of Shen Niu 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 Shen Niu. Shen Niu 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
# Work Indexed citations
1 0
2 1
3 6
4 1
5 5
6 0
7 0
8 4
9 22
10 3
11 24
12 5
13 12
14 5
15 9
16 31
17 32
18 16
19 29
20 40

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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