Can Wang
Impact in
- Modeling and Simulation top 5%
- Fractional Differential Equations Solutions
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- Catalysts for Methane Reforming
Papers in
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- Catalytic Processes in Materials Science 3
- Microstructure and mechanical properties 2
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- Nonlinear Optical Materials Studies 3
- Co-authors
- C.W. Lim (3 shared papers)Baisheng Wu (3 shared papers)S.K. Lai (2 shared papers)Qianwei Zeng (1 shared paper)Guozhen Yang (2 shared papers)Kui-juan Jin (1 shared paper)Simon A. T. Redfern (1 shared paper)Zhipei Sun (1 shared paper)
- Journals
- The International Journal of Advanced Manufacturing Technology (3 papers)Journal of Catalysis (2 papers)ChemCatChem (1 paper)Chemistry of Materials (1 paper)Carbon (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Can Wang
27 papers receiving 407 citations
Peers
Comparison fields: 5 of 81
- Modeling and Simulation 78
- Catalysis 45
- Numerical Analysis 32
- Industrial and Manufacturing Engineering 34
- Statistical and Nonlinear Physics 42
Countries citing papers authored by Can Wang
This map shows the geographic impact of Can 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 Can Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can Wang more than expected).
Fields of papers citing papers by Can Wang
This network shows the impact of papers produced by Can 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 Can Wang. The network helps show where Can Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Can 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 102 | |
| 2 | 2014 | 76 | |
| 3 | 2001 | 46 | |
| 4 | 2012 | 25 | |
| 5 | 1984 | 23 | |
| 6 | 1983 | 22 | |
| 7 | 2008 | 18 | |
| 8 | 2007 | 17 | |
| 9 | 2011 | 13 | |
| 10 | 2008 | 13 | |
| 11 | 2018 | 8 | |
| 12 | 2021 | 7 | |
| 13 | 2020 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2007 | 6 | |
| 16 | 2018 | 5 | |
| 17 | 2015 | 5 | |
| 18 | 2018 | 5 | |
| 19 | 2018 | 4 | |
| 20 | 2020 | 3 |
About Can Wang
Can Wang is a scholar working on Materials Chemistry, Biomedical Engineering, Mechanics of Materials, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering, having authored 29 papers that have together received 426 indexed citations. Recurring topics across this work include Metal and Thin Film Mechanics (4 papers), Manufacturing Process and Optimization (3 papers), Catalytic Processes in Materials Science (3 papers), Nonlinear Optical Materials Studies (3 papers), Catalysis and Oxidation Reactions (3 papers), Engineering Technology and Methodologies (2 papers), Microstructure and mechanical properties (2 papers) and Vibration and Dynamic Analysis (2 papers). The work is most often cited by research in Modeling and Simulation (78 citations), Catalysis (45 citations), Numerical Analysis (32 citations), Industrial and Manufacturing Engineering (34 citations) and Statistical and Nonlinear Physics (42 citations). Can Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include C.W. Lim, Baisheng Wu, S.K. Lai, Qianwei Zeng, Guozhen Yang, Kui-juan Jin, Simon A. T. Redfern, Zhipei Sun, Yueliang Zhou and Xu Chen. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, Journal of Catalysis, ChemCatChem, Chemistry of Materials and Carbon.
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.