Shiping Zhu

1.6k citations
68 papers · 1.1k indexed · h-index 15

Shiping Zhu

67 papers receiving 1.1k citations

Peers

Shiping Zhu
Comparison fields: 5 of 98
  • Computer Vision and Pattern Recognition 967
  • Signal Processing 500
  • Media Technology 99
  • Mathematical Physics 65
  • Industrial and Manufacturing Engineering 45
Replace Susanta Mukhopadhyay with:
Susanta Mukhopadhyay India
Ghada M. El‐Banby Egypt
Shuyuan Zhu China
Yikui Zhai China
Jing Lian China
J. Ben-Arie United States
Ye Liu China
Ignacio Ramírez Uruguay
Anoop Cherian United States
Gaobo Yang China
Shiping Zhu relative to Susanta Mukhopadhyay India Susanta Mukhopadhyay's profile →
Citations per field
00.5×6.2×
Susanta Mukhopadhyay · 1×
Citations per year

Countries citing papers authored by Shiping Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Shiping Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Shiping Zhu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shiping Zhu Line = papers co-authored together Shiping Zhu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20259
2 20250
3 202211
4 20221
5 201927
6 20164
7 20155
8 20144
9 201315
10 201216
11 20125
12 20127
13 20121
14 20121
15 20086
16 20082
17 20081
18
An Empirical Analysis of the Relationship between Family Businesses Governance Structure and Their Performance——Based on the Survey Data of Small and Medium Sized Family Businesses in Zhejiang
20061
19 20051
20 2000457

About Shiping Zhu

Shiping Zhu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Mathematical Physics, having authored 68 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (28 papers), Advanced Image Processing Techniques (20 papers), Advanced Data Compression Techniques (17 papers), Video Coding and Compression Technologies (17 papers), Image and Signal Denoising Methods (14 papers), Mathematical Dynamics and Fractals (12 papers), Image Enhancement Techniques (8 papers) and Medical Image Segmentation Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (967 citations), Signal Processing (500 citations) and Media Technology (99 citations). Shiping Zhu has collaborated with scholars based in China, Algeria and Canada. Frequent co-authors include Kai‐Kuang Ma, Kamel Belloulata, Qingrong Zhang, Xi Xia, Wei Wu, Deyi Ji, Weihao Gan, Junjie Yan, Lanyun Zhu and Qin Zhou. Their work appears in journals such as IEEE Access, Computers & Electrical Engineering, Multimedia Tools and Applications, Journal of Neurophysiology and IEEE Transactions on Image Processing.

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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