W. Guan
Impact in
- Applied Mathematics top 5%
- Nonlinear Partial Differential Equations
- Nonlinear Differential Equations Analysis
- Numerical Analysis top 10%
- Differential Equations and Numerical Methods
Papers in
-
- Nonlinear Differential Equations Analysis 20
- Nonlinear Partial Differential Equations 16
-
- Distributed and Parallel Computing Systems 19
- Co-authors
- Da-Bin Wang (19 shared papers)T. Wenaus (13 shared papers)Federico Carminati (4 shared papers)C. Zhou (5 shared papers)S. Sun (5 shared papers)T. Maeno (11 shared papers)S. L. Wu (5 shared papers)Alberto Di Meglio (6 shared papers)
- Journals
- Advances in Difference Equations (5 papers)Computers & Mathematics with Applications (2 papers)Gels (1 paper)Applied Mathematics & Optimization (1 paper)Boundary Value Problems (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
W. Guan
50 papers receiving 318 citations
Peers
Comparison fields: 5 of 64
- Applied Mathematics 141
- Numerical Analysis 39
- Computational Theory and Mathematics 85
- Information Systems and Management 34
- Mathematical Physics 41
Countries citing papers authored by W. Guan
This map shows the geographic impact of W. Guan'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 W. Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. Guan more than expected).
Fields of papers citing papers by W. Guan
This network shows the impact of papers produced by W. Guan. 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 W. Guan. The network helps show where W. Guan may publish in the future.
Co-authors
The 25 scholars most cited alongside W. Guan, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 56 | |
| 2 | 2007 | 39 | |
| 3 | 2019 | 38 | |
| 4 | 2015 | 19 | |
| 5 | 2019 | 19 | |
| 6 | 2023 | 18 | |
| 7 | 2019 | 12 | |
| 8 | 2018 | 11 | |
| 9 | 2015 | 10 | |
| 10 | 2023 | 9 | |
| 11 | 2024 | 8 | |
| 12 | 2017 | 6 | |
| 13 | 2019 | 6 | |
| 14 | 2017 | 4 | |
| 15 | 2021 | 4 | |
| 16 | 2016 | 4 | |
| 17 | 2019 | 4 | |
| 18 | Application of Quantum Machine Learning to High Energy Physics Analysis at LHC using IBM Quantum Computer Simulators and IBM Quantum Computer Hardware | 2019 | 3 |
| 19 | 2019 | 3 | |
| 20 | 2020 | 3 |
About W. Guan
W. Guan is a scholar working on Applied Mathematics, Computer Networks and Communications, Nuclear and High Energy Physics, Numerical Analysis and Information Systems and Management, having authored 58 papers that have together received 329 indexed citations. Recurring topics across this work include Nonlinear Differential Equations Analysis (20 papers), Distributed and Parallel Computing Systems (19 papers), Nonlinear Partial Differential Equations (16 papers), Differential Equations and Numerical Methods (12 papers), Advanced Mathematical Modeling in Engineering (11 papers), Scientific Computing and Data Management (11 papers), Particle physics theoretical and experimental studies (10 papers) and Particle Detector Development and Performance (10 papers). The work is most often cited by research in Applied Mathematics (141 citations), Numerical Analysis (39 citations), Computational Theory and Mathematics (85 citations), Information Systems and Management (34 citations) and Mathematical Physics (41 citations). W. Guan has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Da-Bin Wang, T. Wenaus, Federico Carminati, C. Zhou, S. Sun, T. Maeno, S. L. Wu, Alberto Di Meglio, Miron Livny and J. Chan. Their work appears in journals such as Advances in Difference Equations, Computers & Mathematics with Applications, Gels, Applied Mathematics & Optimization and Boundary Value Problems.
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.