Peng Nie

792 total citations
48 papers, 625 citations indexed

About

Peng Nie is a scholar working on Mechanical Engineering, Control and Systems Engineering and Mechanics of Materials. According to data from OpenAlex, Peng Nie has authored 48 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Mechanical Engineering, 13 papers in Control and Systems Engineering and 10 papers in Mechanics of Materials. Recurrent topics in Peng Nie's work include Advanced machining processes and optimization (9 papers), Industrial Technology and Control Systems (6 papers) and Tribology and Wear Analysis (5 papers). Peng Nie is often cited by papers focused on Advanced machining processes and optimization (9 papers), Industrial Technology and Control Systems (6 papers) and Tribology and Wear Analysis (5 papers). Peng Nie collaborates with scholars based in China, Macao and Canada. Peng Nie's co-authors include Haojie Song, Chunying Min, Kaili Zhao, Xihui Chen, Zhiwu Li, Michèle Roccotelli, Maria Pia Fanti, Zhengfeng Ming, Zhaozhu Zhang and Kaifeng Zhang and has published in prestigious journals such as IEEE Access, Molecules and Journal of Sound and Vibration.

In The Last Decade

Peng Nie

44 papers receiving 607 citations

Peers

Peng Nie
Comparison fields: 5 of 115
  • Mechanical Engineering 237
  • Mechanics of Materials 177
  • Electrical and Electronic Engineering 166
  • Polymers and Plastics 108
  • Materials Chemistry 107
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Lei Peng China View profile →
Citations per field, relative to Peng Nie
Peng Nie · 1×
Citations per year, relative to Peng Nie
Peng Nie · 1×

Countries citing papers authored by Peng Nie

Since Specialization
Citations

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

Fields of papers citing papers by Peng Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Nie. A scholar is included among the top collaborators of Peng Nie 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 Peng Nie. Peng Nie 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 1
4 0
5 0
6 3
7 1
8 7
9 1
10 1
11 8
12 16
13 137
14 1
15 4
16
State recognition of tool wear based on wavelet neural network
6
17
Prediction of tool VB value based on PCA and BP neural network
3
18
Identification method of tool wear based on empirical mode decomposition and least squares support vector machine
1
19 18
20
Fractal characterization of uniformity of discrete phase in nanocomposites
3

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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