Wei Song

2.2k total citations
94 papers, 725 citations indexed

About

Wei Song is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Wei Song has authored 94 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 28 papers in Control and Systems Engineering and 27 papers in Mechanical Engineering. Recurrent topics in Wei Song's work include Robotic Path Planning Algorithms (15 papers), Soft Robotics and Applications (13 papers) and Hydraulic and Pneumatic Systems (12 papers). Wei Song is often cited by papers focused on Robotic Path Planning Algorithms (15 papers), Soft Robotics and Applications (13 papers) and Hydraulic and Pneumatic Systems (12 papers). Wei Song collaborates with scholars based in China, Canada and United States. Wei Song's co-authors include Shiqiang Zhu, Zheng Chen, Fanghao Huang, Hui Lu, Sang‐Bing Tsai, Bing Xu, Shaogan Ye, Hua Zhou, Junhui Zhang and Weichao Sun and has published in prestigious journals such as Journal of Cleaner Production, Global Change Biology and IEEE Transactions on Image Processing.

In The Last Decade

Wei Song

82 papers receiving 710 citations

Peers

Wei Song
Comparison fields: 5 of 96
  • Mechanical Engineering 295
  • Control and Systems Engineering 207
  • Biomedical Engineering 132
  • Ocean Engineering 123
  • Computer Vision and Pattern Recognition 121
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Citations per field, relative to Wei Song
Wei Song · 1×
Citations per year, relative to Wei Song
Wei Song · 1×

Countries citing papers authored by Wei Song

Since Specialization
Citations

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

Fields of papers citing papers by Wei Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Song

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Song. A scholar is included among the top collaborators of Wei 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 Wei Song. Wei 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 3
3 1
4 1
5 13
6 2
7 2
8 1
9 0
10 2
11 3
12 9
13 7
14 35
15 27
16 26
17
Analytical Reliability Estimation Model of Medium Voltage Distribution Networks Considering Different Types of Switches and Capacity Constraints
1
18 6
19
Modeling and combined control of aerial vehicle based on aerodynamic force and lateral thrust
1
20
Asymptotic Power-law Distribution of Small Forest Fires
1

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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