Shangyou Zhang
- Computational Mechanics top 0.1%
- Mechanics of Materials top 0.5%
- Computational Theory and Mathematics top 0.2%
- Electrical and Electronic Engineering top 5%
- Numerical Analysis top 1%
- Topics
- Advanced Numerical Methods in Computational Mathematics (159 papers)Numerical methods in engineering (90 papers)Electromagnetic Simulation and Numerical Methods (66 papers)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Shangyou Zhang
159 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Computational Mechanics 3.1k
- Mechanics of Materials 1.7k
- Computational Theory and Mathematics 1.4k
- Electrical and Electronic Engineering 932
- Numerical Analysis 575
Countries citing papers authored by Shangyou Zhang
This map shows the geographic impact of Shangyou 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 Shangyou Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shangyou Zhang more than expected).
Fields of papers citing papers by Shangyou Zhang
This network shows the impact of papers produced by Shangyou 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 Shangyou Zhang. The network helps show where Shangyou Zhang may publish in the future.
Co-authorship network of co-authors of Shangyou Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Shangyou Zhang. A scholar is included among the top collaborators of Shangyou 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 Shangyou Zhang. Shangyou Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 16 | |
| 11 | 2 | |
| 12 | 14 | |
| 13 | 3 | |
| 14 | Modelling of Drainage Systems and Overland Flowpaths at Catchment Scales | 2 |
| 15 | 11 | |
| 16 | 203 | |
| 17 | Results of Use of an Improved Linear Runoff Routing Model | 1 |
| 18 | Travel Time and Storage-discharge Relations for Flood Estimation | 3 |
| 19 | 10 | |
| 20 | 6 |
About Shangyou Zhang
Shangyou Zhang is a scholar working on Computational Mechanics, Numerical Analysis and Mechanics of Materials, having authored 179 papers that have together received 3.4k indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (159 papers), Numerical methods in engineering (90 papers) and Electromagnetic Simulation and Numerical Methods (66 papers). The work is most often cited by research in Computational Mechanics (3.1k citations), Numerical Analysis (575 citations) and Computational Theory and Mathematics (1.4k citations). Shangyou Zhang has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include L. Ridgway Scott, Xiu Ye, Lin Mu, Jun Hu, Junping Wang, Yunqing Huang, Peng Zhu, Junping Wang, Zhimin Zhang and Runchang Lin. Their work appears in journals such as Water Resources Research, Journal of Computational Physics and Journal of Hydrology.
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.