Stanley C. Wang
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Molecular Biology top 10%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Lipid Membrane Structure and Behavior
Papers in
-
- Parallel Computing and Optimization Techniques 4
- Embedded Systems Design Techniques 1
-
- Advanced NMR Techniques and Applications 3
- Co-authors
- Jeff P. Grossman (1 shared paper)Douglas J. Ierardi (1 shared paper)Rolf Mueller (1 shared paper)Brannon Batson (1 shared paper)Michael F. Theobald (1 shared paper)Cliff Young (1 shared paper)Martin M. Deneroff (1 shared paper)Brian Towles (1 shared paper)
- Journals
- Communications of the ACM (1 paper)ACM SIGARCH Computer Architecture News (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Stanley C. Wang
7 papers receiving 1.5k citations
Stanley C. Wang's Hit Papers
Peers
Comparison fields: 5 of 110
- Hardware and Architecture 193
- Molecular Biology 1.1k
- Computational Theory and Mathematics 199
- Spectroscopy 184
- Materials Chemistry 367
Countries citing papers authored by Stanley C. Wang
This map shows the geographic impact of Stanley C. 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 Stanley C. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stanley C. Wang more than expected).
Fields of papers citing papers by Stanley C. Wang
This network shows the impact of papers produced by Stanley C. 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 Stanley C. Wang. The network helps show where Stanley C. Wang may publish in the future.
Co-authors
The 13 scholars most cited alongside Stanley C. 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 | Anton, a special-purpose machine for molecular dynamics simulation Hit paper breakdown → | 2008 | 668 |
| 2 | Anton 2: Raising the Bar for Performance and Programmability in a Special-Purpose Molecular Dynamics Supercomputer Hit paper breakdown → | 2014 | 498 |
| 3 | 2007 | 156 | |
| 4 | 2007 | 89 | |
| 5 | 2021 | 88 | |
| 6 | 2008 | 3 | |
| 7 | 2021 | 1 |
About Stanley C. Wang
Stanley C. Wang is a scholar working on Hardware and Architecture, Spectroscopy, Molecular Biology, Physical and Theoretical Chemistry and Atomic and Molecular Physics, and Optics, having authored 7 papers that have together received 1.5k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (4 papers), Protein Structure and Dynamics (4 papers), Advanced NMR Techniques and Applications (3 papers), Quantum-Dot Cellular Automata (1 paper), Radiation Effects in Electronics (1 paper), Low-power high-performance VLSI design (1 paper), Embedded Systems Design Techniques (1 paper) and Mechanical and Optical Resonators (1 paper). The work is most often cited by research in Hardware and Architecture (193 citations), Molecular Biology (1.1k citations), Computational Theory and Mathematics (199 citations), Spectroscopy (184 citations) and Materials Chemistry (367 citations). Stanley C. Wang has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Jeff P. Grossman, Douglas J. Ierardi, Rolf Mueller, Brannon Batson, Michael F. Theobald, Cliff Young, Martin M. Deneroff, Brian Towles, Ron O. Dror and Joseph Gagliardo. Their work appears in journals such as Communications of the ACM and ACM SIGARCH Computer Architecture News.
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.