Junyu Wang
Impact in
- Numerical Analysis top 2%
- Differential Equations and Numerical Methods
- Pollution top 2%
- Microplastics and Plastic Pollution
Papers in
-
- Differential Equations and Boundary Problems 16
- Nonlinear Differential Equations Analysis 13
- Co-authors
- Xiaoli Zhao (16 shared papers)Zhongxin Zhang (4 shared papers)Fengchang Wu (8 shared papers)Wenjie Gao (6 shared papers)Kmy Leung (3 shared papers)Zhaohui Xue (6 shared papers)Weigang Liang (11 shared papers)Xiaowei Wu (5 shared papers)
- Journals
- Journal of Mathematical Analysis and Applications (7 papers)Nonlinear Analysis (6 papers)Biotechnology Letters (3 papers)Journal of Computational and Applied Mathematics (3 papers)Frontiers in Microbiology (3 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Junyu Wang
132 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 167
- Numerical Analysis 335
- Pollution 608
- Applied Mathematics 551
- Industrial and Manufacturing Engineering 404
- Modeling and Simulation 71
Countries citing papers authored by Junyu Wang
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
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.
All Works
Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 199 | |
| 2 | 2022 | 182 | |
| 3 | 2022 | 155 | |
| 4 | 1997 | 137 | |
| 5 | 2020 | 118 | |
| 6 | 2016 | 98 | |
| 7 | 2021 | 77 | |
| 8 | 2020 | 77 | |
| 9 | 2022 | 71 | |
| 10 | 2000 | 66 | |
| 11 | 2023 | 64 | |
| 12 | 2002 | 61 | |
| 13 | 1996 | 52 | |
| 14 | 2023 | 47 | |
| 15 | 2003 | 42 | |
| 16 | 2016 | 41 | |
| 17 | 2023 | 38 | |
| 18 | 2003 | 30 | |
| 19 | 2021 | 29 | |
| 20 | 2021 | 27 |
About Junyu Wang
Junyu Wang is a scholar working on Molecular Biology, Applied Mathematics, Numerical Analysis, Epidemiology and Health, Toxicology and Mutagenesis, having authored 143 papers that have together received 2.5k 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), Microplastics and Plastic Pollution (8 papers), Liver physiology and pathology (6 papers), Recycling and Waste Management Techniques (6 papers) and Sepsis Diagnosis and Treatment (6 papers). The work is most often cited by research in Numerical Analysis (335 citations), Pollution (608 citations), Applied Mathematics (551 citations), Industrial and Manufacturing Engineering (404 citations) and Modeling and Simulation (71 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, Xiaowei Wu, Miaomiao Teng 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 Frontiers in Microbiology.
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.