Shujie Li
- Applied Mathematics top 2%
- Nonlinear Partial Differential Equations 8
- Nonlinear Differential Equations Analysis 4
- Differential Equations and Boundary Problems 4
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- Advanced Mathematical Modeling in Engineering 13
- Mathematical Physics top 10%
- Numerical Analysis top 10%
- Differential Equations and Numerical Methods 3
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- Text and Document Classification Technologies 4
- Topic Modeling 3
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- Web Data Mining and Analysis 2
- Co-authors
- Zhi-Qiang WangShibo LiuMichel WillemJianqing ChenWenming ZouZhitao ZhangChong LiZhaoli Liu
- Journals
- Nonlinear Analysis (2 papers)Nonlinear Differential Equations and Applications NoDEA (1 paper)ACM Transactions on Information Systems (1 paper)
- Partner nations
- ChinaUnited StatesCzechia
In The Last Decade
Shujie Li
21 papers receiving 320 citations
Peers
Comparison fields: 5 of 26
- Applied Mathematics 297
- Computational Theory and Mathematics 252
- Mathematical Physics 92
- Numerical Analysis 42
- Modeling and Simulation 6
Countries citing papers authored by Shujie Li
This map shows the geographic impact of Shujie Li'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 Shujie Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shujie Li more than expected).
Fields of papers citing papers by Shujie Li
This network shows the impact of papers produced by Shujie Li. 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 Shujie Li. The network helps show where Shujie Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shujie Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 10 | |
| 8 | 2023 | 4 | |
| 9 | 2022 | 4 | |
| 10 | 2012 | 1 | |
| 11 | 2009 | 4 | |
| 12 | 2008 | 10 | |
| 13 | 2003 | 11 | |
| 14 | 2003 | 22 | |
| 15 | 2002 | 19 | |
| 16 | 2002 | 77 | |
| 17 | 2001 | 10 | |
| 18 | 1999 | 24 | |
| 19 | 1998 | 30 | |
| 20 | 1982 | 20 |
About Shujie Li
Shujie Li is a scholar working on Applied Mathematics, Computational Theory and Mathematics, Numerical Analysis, Mathematical Physics and Artificial Intelligence, having authored 25 papers that have together received 349 indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (13 papers), Nonlinear Partial Differential Equations (8 papers), Nonlinear Differential Equations Analysis (4 papers), Differential Equations and Boundary Problems (4 papers), Text and Document Classification Technologies (4 papers), Differential Equations and Numerical Methods (3 papers), Topic Modeling (3 papers) and Web Data Mining and Analysis (2 papers). The work is most often cited by research in Applied Mathematics (297 citations), Computational Theory and Mathematics (252 citations), Mathematical Physics (92 citations), Numerical Analysis (42 citations) and Modeling and Simulation (6 citations). Shujie Li has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Zhi-Qiang Wang, Shibo Liu, Michel Willem, Jianqing Chen, Wenming Zou, Zhitao Zhang, Chong Li, Zhaoli Liu, Ruifeng Xu and Pengfei Zhang. Their work appears in journals such as Nonlinear Analysis, Nonlinear Differential Equations and Applications NoDEA, ACM Transactions on Information Systems, Transactions of the Association for Computational Linguistics and Communications in Contemporary Mathematics.
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.