Sibei Yang

1.0k citations
59 papers · 651 indexed · h-index 15

Sibei Yang

51 papers receiving 604 citations

Peers

Sibei Yang
Comparison fields: 5 of 16
  • Applied Mathematics 640
  • Mathematical Physics 439
  • Computational Theory and Mathematics 71
  • Modeling and Simulation 14
  • Numerical Analysis 15
Replace Liguang Liu with:
Liguang Liu China
Mitsuo Izuki Japan
Eleonor Harboure Argentina
F. J. Martín-Reyes Spain
A. L. Bernardis Argentina
Kabe Moen United States
Xiaochun Li United States
Pierre Portal Australia
Giuseppe Di Fazio Italy
Javanshir J. Hasanov Azerbaijan
Sibei Yang relative to Liguang Liu China Liguang Liu's profile →
Citations per field
00.5×2.8×
Liguang Liu · 1×
Citations per year

Countries citing papers authored by Sibei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Sibei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 22 scholars most cited alongside Sibei Yang, 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 Sibei Yang Line = papers co-authored together Sibei Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
4 20241
5 20241
6 20230
7 20230
8 20221
9 20221
10 20211
11 20214
12 20198
13 201912
14 20195
15 20175
16 201718
17 20161
18 201323
19 201357
20 20103

About Sibei Yang

Sibei Yang is a scholar working on Applied Mathematics, Mathematical Physics, Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 59 papers that have together received 651 indexed citations. Recurring topics across this work include Advanced Harmonic Analysis Research (53 papers), Nonlinear Partial Differential Equations (39 papers), Advanced Mathematical Physics Problems (20 papers), Advanced Mathematical Modeling in Engineering (14 papers), Holomorphic and Operator Theory (12 papers), Differential Equations and Boundary Problems (12 papers), Mathematical Analysis and Transform Methods (8 papers) and Advanced Banach Space Theory (6 papers). The work is most often cited by research in Applied Mathematics (640 citations), Mathematical Physics (439 citations), Computational Theory and Mathematics (71 citations), Modeling and Simulation (14 citations) and Numerical Analysis (15 citations). Sibei Yang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Dachun Yang, Der‐Chen Chang, Yoshihiro Sawano, Kwok‐Pun Ho, Fan Wang, Luong Dang Ky, The Anh Bui, Jun Cao, Jun Cao and Zunwei Fu. Their work appears in journals such as Journal of Differential Equations, Journal of Geometric Analysis, Transactions of the American Mathematical Society, Mathematical Methods in the Applied Sciences and Communications on Pure & Applied Analysis.

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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