Jilu Wang

1.7k citations
41 papers · 1.3k · h-index 17

Impact in

Papers in

    • Advanced Numerical Methods in Computational Mathematics 17
    • Computational Fluid Dynamics and Aerodynamics 4
    • Differential Equations and Numerical Methods 10
    • Numerical methods for differential equations 8

Jilu Wang

38 papers receiving 1.2k citations

Peers

Jilu Wang
Comparison fields: 5 of 97
  • Numerical Analysis 646
  • Modeling and Simulation 401
  • Computational Mechanics 432
  • Molecular Medicine 64
  • Applied Mathematics 104
Replace Rajeev Rajeev with:
Rajeev Rajeev India
Qing Fang Japan
Antonio Fasano Italy
Jiangguo Liu United States
Jaemin Shin South Korea
Qingxia Liu China
Hasanen A. Hammad Egypt
Jilu Wang relative to Rajeev Rajeev India Rajeev Rajeev's profile →
Citations per field
00.5×10×20×32×
Rajeev Rajeev · 1×
Citations per year

Countries citing papers authored by Jilu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jilu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018154
2 2017135
3 2013134
4 2015131
5 2020131
6 201576
7 201461
8 201759
9 202241
10 201638
11 201836
12 201827
13 202325
14 201924
15 202021
16 201921
17 202017
18 201415
19 202014
20 202214

About Jilu Wang

Jilu Wang is a scholar working on Computational Mechanics, Numerical Analysis, Mechanics of Materials, Electrical and Electronic Engineering and Modeling and Simulation, having authored 41 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (17 papers), Differential Equations and Numerical Methods (10 papers), Numerical methods for differential equations (8 papers), Numerical methods in engineering (7 papers), Fractional Differential Equations Solutions (7 papers), Advanced Mathematical Modeling in Engineering (5 papers), Computational Fluid Dynamics and Aerodynamics (4 papers) and Electromagnetic Simulation and Numerical Methods (4 papers). The work is most often cited by research in Numerical Analysis (646 citations), Modeling and Simulation (401 citations), Computational Mechanics (432 citations), Molecular Medicine (64 citations) and Applied Mathematics (104 citations). Jilu Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Weiwei Sun, Dongfang Li, Zhiyong Si, Jiwei Zhang, Buyang Li, Yi Luo, Quanhua Mu, Daqing Mao, Max Gunzburger and Jiwei Zhang. Their work appears in journals such as SIAM Journal on Numerical Analysis, Journal of Scientific Computing, Numerische Mathematik, Journal of Computational and Applied Mathematics and Communications in Computational Physics.

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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