Junyu Wang

3.2k citations
139 papers · 2.3k indexed · h-index 23

Impact in

    • Differential Equations and Numerical Methods
    • Nonlinear Differential Equations Analysis
    • Differential Equations and Boundary Problems
    • Nonlinear Partial Differential Equations

Papers in

Junyu Wang

127 papers receiving 2.2k citations

Peers

Junyu Wang
Comparison fields: 5 of 164
  • Numerical Analysis 328
  • Applied Mathematics 541
  • Pollution 547
  • Industrial and Manufacturing Engineering 378
  • Modeling and Simulation 68
Replace Tapan Saha with:
Tapan Saha Bangladesh
Zhendong Sun China
Jianxin Pan China
Feng China
Xiaohuan Wang China
Yue Wang China
Guangyuan Wang China
Radhakrishnan Mahadevan Canada
Danhua Wang China
Lichun Zhao China
Junyu Wang relative to Tapan Saha Bangladesh Tapan Saha's profile →
Citations per field
00.5×20×40×60×82×
Tapan Saha · 1×
Citations per year

Countries citing papers authored by Junyu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Junyu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019192
2 2022157
3 2022140
4 1997132
5 2020103
6 201697
7 202174
8 202073
9 202265
10 200065
11 200260
12 202356
13 199651
14 202344
15 200342
16 201639
17 202335
18 200329
19 202129
20 199923

About Junyu Wang

Junyu Wang is a scholar working on Numerical Analysis, Applied Mathematics, Health, Toxicology and Mutagenesis, Family Practice and Pollution, having authored 139 papers that have together received 2.3k indexed citations. Recurring topics across this work include Differential Equations and Boundary Problems (16 papers), Differential Equations and Numerical Methods (15 papers), Nonlinear Differential Equations Analysis (13 papers), Air Quality and Health Impacts (10 papers), Sepsis Diagnosis and Treatment (10 papers), Microplastics and Plastic Pollution (8 papers), Liver Disease Diagnosis and Treatment (6 papers) and Recycling and Waste Management Techniques (6 papers). The work is most often cited by research in Numerical Analysis (328 citations), Applied Mathematics (541 citations), Pollution (547 citations), Industrial and Manufacturing Engineering (378 citations) and Modeling and Simulation (68 citations). Junyu Wang has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Xiaoli Zhao, Zhongxin Zhang, Fengchang Wu, Wenjie Gao, Kmy Leung, Zhaohui Xue, Weigang Liang, Miaomiao Teng, Xiaowei Wu and Shixiang Gao. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Nonlinear Analysis, Biotechnology Letters, Journal of Computational and Applied Mathematics and Infection and Drug Resistance.

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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