Wenjun Ying

632 citations
49 papers · 396 · h-index 12

Impact in

Papers in

Wenjun Ying

42 papers receiving 380 citations

Peers

Wenjun Ying
Comparison fields: 5 of 65
  • Numerical Analysis 76
  • Computational Mechanics 180
  • Mechanics of Materials 112
  • Computational Theory and Mathematics 61
  • Statistical and Nonlinear Physics 37
Replace Micol Pennacchio with:
Micol Pennacchio Italy
Feng Jia Germany
Matthias Bolten Germany
Daniele Andreucci Italy
Rachid Ait-Haddou Canada
Michael Kühn Germany
Andrew Gillette United States
Xiaoxia Li China
K.T. Ng United States
Wenjun Ying relative to Micol Pennacchio Italy Micol Pennacchio's profile →
Citations per field
00.5×5.9×
Micol Pennacchio · 1×
Citations per year

Countries citing papers authored by Wenjun Ying

Since Specialization
Citations

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

Fields of papers citing papers by Wenjun Ying

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200746
2 200741
3 201332
4 201420
5 200718
6 201818
7 200816
8 201316
9 201315
10
A multilevel adaptive approach for computational cardiology
200515
11 201312
12 200912
13 202111
14 202011
15 201711
16 20189
17 20199
18 20198
19 20198
20 20188

About Wenjun Ying

Wenjun Ying is a scholar working on Computational Mechanics, Electrical and Electronic Engineering, Mechanics of Materials, Numerical Analysis and Atomic and Molecular Physics, and Optics, having authored 49 papers that have together received 396 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (19 papers), Numerical methods in engineering (14 papers), Electromagnetic Simulation and Numerical Methods (14 papers), Electromagnetic Scattering and Analysis (11 papers), Differential Equations and Numerical Methods (10 papers), Lattice Boltzmann Simulation Studies (7 papers), Computational Fluid Dynamics and Aerodynamics (6 papers) and Numerical methods for differential equations (6 papers). The work is most often cited by research in Numerical Analysis (76 citations), Computational Mechanics (180 citations), Mechanics of Materials (112 citations), Computational Theory and Mathematics (61 citations) and Statistical and Nonlinear Physics (37 citations). Wenjun Ying has collaborated with scholars based in China, United States and North Korea. Frequent co-authors include Craig S. Henriquez, Weicheng Wang, J. Thomas Beale, Shuwang Li, Houde Han, John A. Trangenstein, Min Tang, Donald J. Rose, Jiwei Zhang and Dan Hu. Their work appears in journals such as Journal of Computational Physics, Communications in Computational Physics, Journal of Scientific Computing, Computer Methods in Applied Mechanics and Engineering and IEEE Transactions on Biomedical Engineering.

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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