Xianzhen Jiang

755 citations
26 papers · 534 indexed · h-index 15
Topics
Advanced Optimization Algorithms Research (25 papers)Sparse and Compressive Sensing Techniques (19 papers)Iterative Methods for Nonlinear Equations (10 papers)
Partner nations
China

In The Last Decade

Xianzhen Jiang

24 papers receiving 493 citations

Peers

Xianzhen Jiang
Comparison fields: 5 of 35
  • Numerical Analysis 417
  • Computational Mechanics 367
  • Computational Theory and Mathematics 174
  • Computer Vision and Pattern Recognition 146
  • Mathematical Physics 80
Replace Jianghua Yin with:
Jianghua Yin China
Pengjie Liu China
Yasushi Narushima Japan
Wanyou Cheng China
Ch. Dossal France
Yuchao Tang China
Yura Malitsky Sweden
Nuttapol Pakkaranang Thailand
Carlos N. Rautenberg United States
Basim A. Hassan Iraq
Xianzhen Jiang relative to Jianghua Yin China Jianghua Yin's profile →
Citations per field
00.5×3.6×
Jianghua Yin · 1×
Citations per year

Countries citing papers authored by Xianzhen Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Xianzhen Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xianzhen Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Xianzhen Jiang. A scholar is included among the top collaborators of Xianzhen Jiang 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 Xianzhen Jiang. Xianzhen Jiang 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 0
2 10
3 0
4 6
5 15
6 2
7 13
8 14
9 39
10 25
11 25
12 5
13 19
14 78
15 20
16 16
17 40
18 2
19 43
20 61

About Xianzhen Jiang

Xianzhen Jiang is a scholar working on Numerical Analysis, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 534 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (25 papers), Sparse and Compressive Sensing Techniques (19 papers) and Iterative Methods for Nonlinear Equations (10 papers). The work is most often cited by research in Numerical Analysis (417 citations), Computational Mechanics (367 citations) and Computational Theory and Mathematics (174 citations). Xianzhen Jiang has collaborated with scholars based in China. Frequent co-authors include Jinbao Jian, Jianghua Yin, Pengjie Liu, Wei Liao, Yihan Zhu, Bo He, Chen Zhang, Lin Yang, Xiaomin Ye and Jian Wu. Their work appears in journals such as Journal of the Franklin Institute, Computers & Operations Research and Nonlinear Dynamics.

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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