Qianshun Chang

1.7k citations
62 papers · 1.4k indexed · h-index 21
Topics
Nonlinear Waves and Solitons (20 papers)Numerical methods for differential equations (17 papers)Image and Signal Denoising Methods (14 papers)
Partner nations
ChinaCanadaTaiwan

In The Last Decade

Qianshun Chang

59 papers receiving 1.3k citations

Peers

Qianshun Chang
Comparison fields: 5 of 71
  • Numerical Analysis 623
  • Statistical and Nonlinear Physics 528
  • Computational Mechanics 358
  • Modeling and Simulation 313
  • Mathematical Physics 235
Replace Brynjulf Owren with:
Brynjulf Owren Norway
Ram Jiwari India
K. Jbilou France
Tzon‐Tzer Lu Taiwan
Mehrdad Lakestani Iran
Paolo Novati Italy
Kenneth L. Bowers United States
H. Sadok France
Mei Feng-Xiang China
Xian‐Ming Gu China
Qianshun Chang relative to Brynjulf Owren Norway Brynjulf Owren's profile →
Citations per field
00.5×2.7×
Brynjulf Owren · 1×
Citations per year

Countries citing papers authored by Qianshun Chang

Since Specialization
Citations

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

Fields of papers citing papers by Qianshun Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qianshun Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Qianshun Chang. A scholar is included among the top collaborators of Qianshun Chang 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 Qianshun Chang. Qianshun Chang 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 9
4 4
5 0
6 25
7 1
8 6
9 19
10 29
11 6
12 8
13 3
14 3
15 11
16 15
17 25
18 241
19 79
20
A numerical method for a system of generalized nonlinear Schro¨dinger equations
25

About Qianshun Chang

Qianshun Chang is a scholar working on Numerical Analysis, Statistical and Nonlinear Physics and Mathematical Physics, having authored 62 papers that have together received 1.4k indexed citations. Recurring topics across this work include Nonlinear Waves and Solitons (20 papers), Numerical methods for differential equations (17 papers) and Image and Signal Denoising Methods (14 papers). The work is most often cited by research in Numerical Analysis (623 citations), Modeling and Simulation (313 citations) and Statistical and Nonlinear Physics (528 citations). Qianshun Chang has collaborated with scholars based in China, Canada and Taiwan. Frequent co-authors include Weiwei Sun, Hong Jiang, Boling Guo, Yau Shu Wong, Hai‐Wei Sun, Yonggui Zhu, Yuying Shi, Weiguo Zhang, Guobin Wang and Luming Zhang. Their work appears in journals such as Physical Review Letters, Journal of Computational Physics 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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