Min Soe

514 citations
42 papers · 347 · h-index 8

Impact in

Papers in

Min Soe

39 papers receiving 325 citations

Peers

Min Soe
Comparison fields: 5 of 33
  • Computational Mechanics 157
  • Atomic and Molecular Physics, and Optics 137
  • Artificial Intelligence 88
  • Condensed Matter Physics 26
  • Electrical and Electronic Engineering 119
Replace Ning Chen with:
Ning Chen China
Dhairya Malhotra United States
Matthew J. O’Rourke United States
James Brannick United States
Markus Bachmayr Germany
Philipp Bader Spain
Vadim Kostrykin Germany
Harper Langston United States
Yu Tong United States
G.M. Todesco Italy
Min Soe relative to Ning Chen China Ning Chen's profile →
Citations per field
00.5×6.3×
Ning Chen · 1×
Citations per year

Countries citing papers authored by Min Soe

Since Specialization
Citations

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

Fields of papers citing papers by Min Soe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min Soe. 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 Min Soe. The network helps show where Min Soe may publish in the future.

Co-authors

The 16 scholars most cited alongside Min Soe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Min Soe Line = papers co-authored together Min Soe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200961
2 199841
3 200737
4 199833
5 202016
6
Magnetohydrodynamic Turbulence Simulations on the Earth Simulator Using the Lattice Boltzmann Method
200512
7 200911
8 20158
9 20217
10 20187
11 20207
12 20057
13 20116
14 20196
15 20166
16 20196
17 20216
18 20125
19 20155
20 20205

About Min Soe

Min Soe is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Computational Mechanics, Electrical and Electronic Engineering and Condensed Matter Physics, having authored 42 papers that have together received 347 indexed citations. Recurring topics across this work include Cold Atom Physics and Bose-Einstein Condensates (18 papers), Lattice Boltzmann Simulation Studies (12 papers), Quantum, superfluid, helium dynamics (12 papers), Fluid Dynamics and Turbulent Flows (12 papers), Quantum Information and Cryptography (8 papers), Quantum Computing Algorithms and Architecture (7 papers), Optical Network Technologies (6 papers) and Physics of Superconductivity and Magnetism (6 papers). The work is most often cited by research in Computational Mechanics (157 citations), Atomic and Molecular Physics, and Optics (137 citations), Artificial Intelligence (88 citations), Condensed Matter Physics (26 citations) and Electrical and Electronic Engineering (119 citations). Min Soe has collaborated with scholars based in United States, Greece and Czechia. Frequent co-authors include Linda Vahala, George Vahala, Jeffrey Yepez, P. Pavlo, A. K. Ram, Brian Keating, Hudong Chen, Jonathan Carter, Bo Zhang and Leonid Oliker. Their work appears in journals such as Physical Review Letters, Computers & Mathematics with Applications, Radiation effects and defects in solids, Journal of Computational Physics and Journal of Plasma Physics.

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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