Woo‐Sun Yang

403 total citations
9 papers, 294 citations indexed

About

Woo‐Sun Yang is a scholar working on Geophysics, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Woo‐Sun Yang has authored 9 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Geophysics, 2 papers in Computer Networks and Communications and 2 papers in Molecular Biology. Recurrent topics in Woo‐Sun Yang's work include High-pressure geophysics and materials (4 papers), Geological and Geochemical Analysis (3 papers) and earthquake and tectonic studies (3 papers). Woo‐Sun Yang is often cited by papers focused on High-pressure geophysics and materials (4 papers), Geological and Geochemical Analysis (3 papers) and earthquake and tectonic studies (3 papers). Woo‐Sun Yang collaborates with scholars based in United States, Germany and Israel. Woo‐Sun Yang's co-authors include John R. Baumgardner, Hans‐Peter Bunge, Mark A. Richards, V. S. Solomatov, C. C. Reese, Terry J. Ligocki, Noel D. Keen, Brian Van Straalen, John Shalf and Mark A. Richards and has published in prestigious journals such as Geochemistry Geophysics Geosystems, Physics of The Earth and Planetary Interiors and Pure and Applied Geophysics.

In The Last Decade

Woo‐Sun Yang

9 papers receiving 284 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Woo‐Sun Yang United States	7	232	42	38	21	19	9	294
D. M. Reuteler United States	9	400 1.7×	17 0.4×	59 1.6×	20 1.0×	41 2.2×	10	455
M. Gangloff France	7	88 0.4×	166 4.0×	39 1.0×	16 0.8×	10 0.5×	15	232
L. Alisic United States	5	311 1.3×	3 0.1×	28 0.7×	12 0.6×	57 3.0×	6	385
Manoj Nair United States	7	68 0.3×	46 1.1×	55 1.4×	12 0.6×	2 0.1×	17	168
I. M. Aleshin Russia	7	316 1.4×	11 0.3×	12 0.3×	15 0.7×	2 0.1×	56	388
Mikhail Kruglyakov Switzerland	12	209 0.9×	87 2.1×	71 1.9×	8 0.4×	4 0.2×	31	275
D. C. Wilkinson United States	9	65 0.3×	229 5.5×	64 1.7×	23 1.1×		21	300
Petri Toivanen Finland	12	38 0.2×	269 6.4×	94 2.5×	14 0.7×	26 1.4×	30	362
Ceri Nunn United States	9	240 1.0×	157 3.7×	6 0.2×	19 0.9×	4 0.2×	23	354
D. S. Caprette United States	7	92 0.4×	137 3.3×	26 0.7×	16 0.8×	6 0.3×	14	251

Countries citing papers authored by Woo‐Sun Yang

Since Specialization

Citations

This map shows the geographic impact of Woo‐Sun Yang'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 Woo‐Sun Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Woo‐Sun Yang more than expected).

Fields of papers citing papers by Woo‐Sun Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Woo‐Sun Yang. 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 Woo‐Sun Yang. The network helps show where Woo‐Sun Yang may publish in the future.

Co-authorship network of co-authors of Woo‐Sun Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Woo‐Sun Yang. A scholar is included among the top collaborators of Woo‐Sun Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Woo‐Sun Yang. Woo‐Sun Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Yang, Woo‐Sun, et al.. (2024). Optimizing the Weather Research and Forecasting Model with OpenMP Offload and Codee. 1934–1942. 1 indexed citations

He, Yun, Brandon Cook, Jack Deslippe, et al.. (2017). Preparing NERSC users for Cori, a Cray XC40 system with Intel many integrated cores. Concurrency and Computation Practice and Experience. 30(1). 7 indexed citations

Straalen, Brian Van, John Shalf, Terry J. Ligocki, Noel D. Keen, & Woo‐Sun Yang. (2009). Scalability challenges for massively parallel AMR applications. 1–12. 17 indexed citations

Richards, Mark A., Woo‐Sun Yang, John R. Baumgardner, & Hans‐Peter Bunge. (2002). Correction to “Role of a low‐viscosity zone in stabilizing plate tectonics: Implications for comparative terrestrial planetology” by Mark A. Richards, Woo‐Sun Yang, John R. Baumgardner, and Hans‐Peter Bunge. Geochemistry Geophysics Geosystems. 3(7). 1–1. 9 indexed citations

Richards, Mark A., Woo‐Sun Yang, John R. Baumgardner, & Hans‐Peter Bunge. (2001). Role of a low‐viscosity zone in stabilizing plate tectonics: Implications for comparative terrestrial planetology. Geochemistry Geophysics Geosystems. 2(8). 184 indexed citations

Yang, Woo‐Sun & John R. Baumgardner. (2000). A matrix-dependent transfer multigrid method for strongly variable viscosity infinite Prandtl number thermal convection. Geophysical & Astrophysical Fluid Dynamics. 92(3-4). 151–195. 19 indexed citations

Reese, C. C., V. S. Solomatov, John R. Baumgardner, & Woo‐Sun Yang. (1999). Stagnant lid convection in a spherical shell. Physics of The Earth and Planetary Interiors. 116(1-4). 1–7. 45 indexed citations

Yang, Woo‐Sun. (1997). Variable Viscosity Thermal Convection at Infinite Prandtl Number in a Thick Spherical Shell. PhDT. 113. 264–71. 9 indexed citations

Hsui, Albert T., Woo‐Sun Yang, & John R. Baumgardner. (1995). A preliminary study of the effects of some flow parameters in the generation of poloidal and toroidal energies within a 3-D spherical thermal-convective system with variable viscosity. Pure and Applied Geophysics. 145(3-4). 487–503. 3 indexed citations

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.

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