Xiao–Ping Zhang

15.9k total citations · 5 hit papers
483 papers, 10.7k citations indexed

About

Xiao–Ping Zhang is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Xiao–Ping Zhang has authored 483 papers receiving a total of 10.7k indexed citations (citations by other indexed papers that have themselves been cited), including 181 papers in Computer Vision and Pattern Recognition, 78 papers in Electrical and Electronic Engineering and 75 papers in Artificial Intelligence. Recurrent topics in Xiao–Ping Zhang's work include Image and Signal Denoising Methods (38 papers), Advanced Image Fusion Techniques (38 papers) and Image Enhancement Techniques (34 papers). Xiao–Ping Zhang is often cited by papers focused on Image and Signal Denoising Methods (38 papers), Advanced Image Fusion Techniques (38 papers) and Image Enhancement Techniques (34 papers). Xiao–Ping Zhang collaborates with scholars based in China, Canada and United States. Xiao–Ping Zhang's co-authors include Xinghao Ding, Xueyang Fu, Yue Huang, Jiayi Ma, Han Xu, Delu Zeng, Junjun Jiang, Thomas H. Hintze, Xiaoguang Mei and Yinghao Liao and has published in prestigious journals such as Journal of the American Chemical Society, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Xiao–Ping Zhang

453 papers receiving 10.4k citations

Hit Papers

DDcGAN: A Dual-Discriminator Conditional Ge... 2014 2026 2018 2022 2020 2016 2014 2015 2024 250 500 750

Peers

Xiao–Ping Zhang
Comparison fields: 5 of 207
  • Computer Vision and Pattern Recognition 4.8k
  • Media Technology 2.6k
  • Electrical and Electronic Engineering 1.2k
  • Aerospace Engineering 1.2k
  • Artificial Intelligence 963
Replace Rabab Ward with:
Rabab Ward Canada
Yü Liu China
Youfu Li Hong Kong
Shuihua Wang‎ China
James M. Keller United States
Moncef Gabbouj Finland
Asoke K. Nandi United Kingdom
Huiyu Zhou United Kingdom
Lei Wang China
Wilfried Philips Belgium
Rabab Ward Canada View profile →
Citations per field, relative to Xiao–Ping Zhang
Xiao–Ping Zhang · 1×
Citations per year, relative to Xiao–Ping Zhang
Xiao–Ping Zhang · 1×

Countries citing papers authored by Xiao–Ping Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Xiao–Ping Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiao–Ping Zhang. 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 Xiao–Ping Zhang. The network helps show where Xiao–Ping Zhang may publish in the future.

Co-authorship network of co-authors of Xiao–Ping Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao–Ping Zhang. A scholar is included among the top collaborators of Xiao–Ping Zhang 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 Xiao–Ping Zhang. Xiao–Ping Zhang 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 11
5 0
6 2
7 3
8 13
9 2
10 4
11 11
12 9
13 30
14 2
15 1
16 18
17 3
18 1
19 19
20 7

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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