Dening Song

790 total citations
50 papers, 572 citations indexed

About

Dening Song is a scholar working on Computational Mechanics, Mechanical Engineering and Control and Systems Engineering. According to data from OpenAlex, Dening Song has authored 50 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computational Mechanics, 35 papers in Mechanical Engineering and 19 papers in Control and Systems Engineering. Recurrent topics in Dening Song's work include Advanced Numerical Analysis Techniques (35 papers), Advanced machining processes and optimization (28 papers) and Iterative Learning Control Systems (17 papers). Dening Song is often cited by papers focused on Advanced Numerical Analysis Techniques (35 papers), Advanced machining processes and optimization (28 papers) and Iterative Learning Control Systems (17 papers). Dening Song collaborates with scholars based in China and Hong Kong. Dening Song's co-authors include Jian-wei Ma, Zhenyuan Jia, Fuji Wang, Weiwei Su, Yuguang Zhong, Wei Liu, Likun Si, Jianjun Yao, Wenwen Jiang and Ning Zhang and has published in prestigious journals such as Scientific Reports, Mechanical Systems and Signal Processing and International Journal of Machine Tools and Manufacture.

In The Last Decade

Dening Song

44 papers receiving 560 citations

Peers

Dening Song
Comparison fields: 5 of 38
  • Mechanical Engineering 451
  • Computational Mechanics 331
  • Control and Systems Engineering 275
  • Industrial and Manufacturing Engineering 128
  • Biomedical Engineering 107
Replace Jingxia Yuan with:
Jingxia Yuan United States
Z. Gong Singapore
Aitor Olarra Spain
Klaus Wendt Germany
Ming-Tzong Lin Taiwan
Sung-Chong Chung South Korea
Masatomo Inui Japan
Zhengchun Du China
Patrick M. Sammons United States
Yaoan Lu China
Jingxia Yuan United States View profile →
Citations per field, relative to Dening Song
Dening Song · 1×
Citations per year, relative to Dening Song
Dening Song · 1×

Countries citing papers authored by Dening Song

Since Specialization
Citations

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

Fields of papers citing papers by Dening Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dening Song

This figure shows the co-authorship network connecting the top 25 collaborators of Dening Song. A scholar is included among the top collaborators of Dening Song 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 Dening Song. Dening Song 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 0
4 1
5 2
6 1
7 0
8 1
9 0
10 0
11 9
12 2
13 11
14 14
15 20
16 4
17 9
18 6
19 13
20 109

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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