Zuoqiang Shi

2.1k citations
71 papers · 1.2k indexed · h-index 20
Topics
Image and Signal Denoising Methods (19 papers)Advanced Numerical Analysis Techniques (14 papers)Sparse and Compressive Sensing Techniques (7 papers)
Partner nations
ChinaUnited StatesSpain

In The Last Decade

Zuoqiang Shi

64 papers receiving 1.2k citations

Peers

Zuoqiang Shi
Comparison fields: 5 of 96
  • Computer Vision and Pattern Recognition 315
  • Computational Mechanics 285
  • Control and Systems Engineering 256
  • Civil and Structural Engineering 235
  • Biomedical Engineering 145
Replace Alexey Castrodad with:
Alexey Castrodad United States
Weiyu Xu United States
Raja Giryes Israel
S. Derin Babacan United States
Otmar Loffeld Germany
Petros T. Boufounos United States
Michael T. McCann United States
Xuejun Liao United States
Hassan Mansour United States
Xiaobo Li China
Zuoqiang Shi relative to Alexey Castrodad United States Alexey Castrodad's profile →
Citations per field
00.5×6.9×
Alexey Castrodad · 1×
Citations per year

Countries citing papers authored by Zuoqiang Shi

Since Specialization
Citations

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

Fields of papers citing papers by Zuoqiang Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zuoqiang Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Zuoqiang Shi. A scholar is included among the top collaborators of Zuoqiang Shi 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 Zuoqiang Shi. Zuoqiang Shi 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 1
3 0
4 4
5 1
6 0
7 1
8 0
9 30
10 0
11 10
12 16
13 29
14 31
15
Task-Oriented Feature Distillation
17
16
EnResNet: ResNet Ensemble via the Feynman-Kac Formalism.
4
17
Deep Neural Nets with Interpolating Function as Output Activation
4
18
Sparse Time-Frequency decomposition by adaptive basis pursuit.
2
19 10
20 54

About Zuoqiang Shi

Zuoqiang Shi is a scholar working on Computer Graphics and Computer-Aided Design, Acoustics and Ultrasonics and Structural Biology, having authored 71 papers that have together received 1.2k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (19 papers), Advanced Numerical Analysis Techniques (14 papers) and Sparse and Compressive Sensing Techniques (7 papers). The work is most often cited by research in Acoustics and Ultrasonics (33 citations), Instrumentation (70 citations) and Computer Graphics and Computer-Aided Design (61 citations). Zuoqiang Shi has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Thomas Y. Hou, Stanley Osher, Wei Zhu, Hui Li, Yuequan Bao, Jianke Yang, James L. Beck, Jian Sun, Bin Wang and Xiaoyu Wang. Their work appears in journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Computational Physics.

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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