Peipei Shang

650 citations
24 papers · 443 · h-index 11

Impact in

Papers in

Peipei Shang

22 papers receiving 421 citations

Peers

Peipei Shang
Comparison fields: 5 of 53
  • Mathematical Physics 105
  • Immunology 163
  • Oncology 183
  • Control and Systems Engineering 166
  • Numerical Analysis 30
Replace Taeko Yamazaki with:
Taeko Yamazaki Japan
Alexander S. Bratus Russia
A. Ichikawa Japan
Rosanna Villella-Bressan Italy
Nicholas Boyd United States
Minaya Villasana Venezuela
Tian Xiang China
Pan Zheng China
Eva Matoušková Czechia
Yasunori Kimura Japan
Peipei Shang relative to Taeko Yamazaki Japan Taeko Yamazaki's profile →
Citations per field
00.5×10×20×30×38×
Taeko Yamazaki · 1×
Citations per year

Countries citing papers authored by Peipei Shang

Since Specialization
Citations

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

Fields of papers citing papers by Peipei Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peipei Shang, 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 Peipei Shang Line = papers co-authored together Peipei Shang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013217
2 201838
3 202029
4 201028
5 201525
6 202116
7 201815
8 201612
9 201511
10 201910
11 201910
12 20138
13 20224
14 20143
15 20183
16 20213
17
Exact Boundary Controllability for Second Order Quasilinear Hyperbolic Equations
20092
18 20232
19 20242
20 20152

About Peipei Shang

Peipei Shang is a scholar working on Control and Systems Engineering, Mathematical Physics, Applied Mathematics, Numerical Analysis and Statistical and Nonlinear Physics, having authored 24 papers that have together received 443 indexed citations. Recurring topics across this work include Stability and Controllability of Differential Equations (15 papers), Advanced Mathematical Physics Problems (8 papers), Navier-Stokes equation solutions (6 papers), Numerical methods for differential equations (3 papers), Fluid Dynamics and Turbulent Flows (3 papers), Advanced Mathematical Modeling in Engineering (2 papers), Rheology and Fluid Dynamics Studies (2 papers) and Model Reduction and Neural Networks (2 papers). The work is most often cited by research in Mathematical Physics (105 citations), Immunology (163 citations), Oncology (183 citations), Control and Systems Engineering (166 citations) and Numerical Analysis (30 citations). Peipei Shang has collaborated with scholars based in China, France and United States. Frequent co-authors include Amaury Hayat, Jean‐Michel Coron, Hejing Huang, Wenhao Zhang, Hui Zhang, Qing Yi, Wanping Sun, Daniel Sze, Weijun Fu and Hua Jiang. Their work appears in journals such as Journal of Differential Equations, IEEE Transactions on Automatic Control, Journal of Mathematical Analysis and Applications, Advances in Nonlinear Analysis and Journal de Mathématiques Pures et Appliquées.

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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