Sheldon Wang
- Computational Mechanics top 5%
- Lattice Boltzmann Simulation Studies 7
- Fluid Dynamics and Vibration Analysis 4
- Advanced Numerical Methods in Computational Mathematics 4
- Fluid Dynamics and Heat Transfer 3
- Fluid Dynamics Simulations and Interactions 3
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- Rheology and Fluid Dynamics Studies 7
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- Oil and Gas Production Techniques 5
- Reservoir Engineering and Simulation Methods 3
- Co-authors
- Wing Kam LiuMing‐Hua QiuGuilin HuYaling LiuThomas J. SowinYoshio FukuiDavid FarrellNeelesh A. Patankar
- Journals
- Bioorganic & Medicinal Chemistry Letters (2 papers)International Journal for Multiscale Computational Engineering (2 papers)Journal of Medicinal Chemistry (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Sheldon Wang
35 papers receiving 767 citations
Peers
Comparison fields: 5 of 115
- Computational Mechanics 351
- Fluid Flow and Transfer Processes 50
- Pharmacology 86
- Immunology and Allergy 23
- Mechanics of Materials 88
Countries citing papers authored by Sheldon Wang
This map shows the geographic impact of Sheldon 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 Sheldon Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheldon Wang more than expected).
Fields of papers citing papers by Sheldon Wang
This network shows the impact of papers produced by Sheldon 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 Sheldon Wang. The network helps show where Sheldon Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sheldon 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 5 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 8 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 2 | |
| 11 | 2022 | 2 | |
| 12 | 2021 | 2 | |
| 13 | 2021 | 7 | |
| 14 | 2021 | 1 | |
| 15 | 2019 | 114 | |
| 16 | 2013 | 25 | |
| 17 | 2006 | 50 | |
| 18 | 2005 | 226 | |
| 19 | 2004 | 16 | |
| 20 | 2004 | 16 |
About Sheldon Wang
Sheldon Wang is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics, Ocean Engineering, Process Chemistry and Technology and Energy Engineering and Power Technology, having authored 37 papers that have together received 798 indexed citations. Recurring topics across this work include Lattice Boltzmann Simulation Studies (7 papers), Rheology and Fluid Dynamics Studies (7 papers), Oil and Gas Production Techniques (5 papers), Fluid Dynamics and Vibration Analysis (4 papers), Advanced Numerical Methods in Computational Mathematics (4 papers), Reservoir Engineering and Simulation Methods (3 papers), Fluid Dynamics and Heat Transfer (3 papers) and Fluid Dynamics Simulations and Interactions (3 papers). The work is most often cited by research in Computational Mechanics (351 citations), Fluid Flow and Transfer Processes (50 citations), Pharmacology (86 citations), Immunology and Allergy (23 citations) and Mechanics of Materials (88 citations). Sheldon Wang has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Wing Kam Liu, Ming‐Hua Qiu, Guilin Hu, Yaling Liu, Thomas J. Sowin, Yoshio Fukui, David Farrell, Neelesh A. Patankar, Chandrajit Bajaj and Xinyu Chen. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, International Journal for Multiscale Computational Engineering, Journal of Medicinal Chemistry, Tetrahedron Letters and Journal of Biomechanics.
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.