Shucong Liu

442 citations
27 papers · 333 indexed · h-index 9
Topics
Non-Destructive Testing Techniques (9 papers)Welding Techniques and Residual Stresses (5 papers)Image and Signal Denoising Methods (4 papers)
Partner nations
ChinaJapan

In The Last Decade

Shucong Liu

23 papers receiving 317 citations

Peers

Shucong Liu
Comparison fields: 5 of 76
  • Mechanical Engineering 163
  • Mechanics of Materials 93
  • Cognitive Neuroscience 61
  • Control and Systems Engineering 53
  • Ocean Engineering 50
Replace Parijat Deshpande with:
Parijat Deshpande India
Yujie Liu China
Sayanjit Singha Roy India
Dongkoo Shon South Korea
Katsunori Shida Japan
Christoph Völker Germany
Dmytro Mamchur Ukraine
LI Jian-hua China
Haiming Qi China
Aparecido Augusto de Carvalho Brazil
Shucong Liu relative to Parijat Deshpande India Parijat Deshpande's profile →
Citations per field
00.5×10.6×
Parijat Deshpande · 1×
Citations per year

Countries citing papers authored by Shucong Liu

Since Specialization
Citations

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

Fields of papers citing papers by Shucong Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shucong Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Shucong Liu. A scholar is included among the top collaborators of Shucong Liu 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 Shucong Liu. Shucong Liu 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 1
2 2
3 0
4 0
5 7
6 6
7 53
8 5
9 6
10 20
11 18
12 13
13 64
14 8
15 13
16 1
17 1
18
Deep structure beneath eastern China from teleseismic P-wave tomography
7
19
Improved Image Iterative Blind Deconvolution Algorithm
0
20
Research overview of post-earthquake life detection technique
1

About Shucong Liu

Shucong Liu is a scholar working on Geriatrics and Gerontology, Computer Vision and Pattern Recognition and Mechanical Engineering, having authored 27 papers that have together received 333 indexed citations. Recurring topics across this work include Non-Destructive Testing Techniques (9 papers), Welding Techniques and Residual Stresses (5 papers) and Image and Signal Denoising Methods (4 papers). The work is most often cited by research in Metals and Alloys (17 citations), Mechanical Engineering (163 citations) and Mechanics of Materials (93 citations). Shucong Liu has collaborated with scholars based in China and Japan. Frequent co-authors include Rui Li, Dezhi Zheng, Mengxi Dai, Qingshan Feng, Hongjun Wang, Baohua Nie, Hong Zhang, Xiang Zhang, Hongjun Wang and Guanhua Du. Their work appears in journals such as Sensors, Energies and Applied Sciences.

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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