Si-Wei Qiu

1.1k citations
6 papers · 23 · h-index 3

Impact in

Papers in

Journals
Physical review. E (1 paper)Biological Cybernetics (1 paper)Physical Review Letters (1 paper)Proceedings of 31st International Symposium on Lattice Field Theory LATTICE 2013 — PoS(LATTICE 2013) (1 paper)University of North Texas Digital Library (University of North Texas) (1 paper)

In The Last Decade

Si-Wei Qiu

6 papers receiving 23 citations

Peers

Si-Wei Qiu
Comparison fields: 5 of 8
  • Nuclear and High Energy Physics 17
  • Statistical and Nonlinear Physics 5
  • Cognitive Neuroscience 4
  • Biophysics 1
  • Computer Networks and Communications 2
Replace L. Serkin with:
L. Serkin Mexico
D. Ivanishchev Russia
M. Malaev Russia
D. S. D. Albuquerque Brazil
P. Schleper Germany
W. Lukas Germany
D. Kotov Russia
D. A. Tlisov Russia
D. Badagnani Argentina
Si-Wei Qiu relative to L. Serkin Mexico L. Serkin's profile →
Citations per field
00.5×1.7×
L. Serkin · 1×
Citations per year

Countries citing papers authored by Si-Wei Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Si-Wei Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Si-Wei Qiu. 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 Si-Wei Qiu. The network helps show where Si-Wei Qiu may publish in the future.

Co-authors

The 21 scholars most cited alongside Si-Wei Qiu, 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 Si-Wei Qiu Line = papers co-authored together Si-Wei Qiu links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 201314
2 20184
3 20232
4 20121
5 20121
6 20141

About Si-Wei Qiu

Si-Wei Qiu is a scholar working on Nuclear and High Energy Physics, Statistical and Nonlinear Physics, Cognitive Neuroscience, Electrical and Electronic Engineering and Artificial Intelligence, having authored 6 papers that have together received 23 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (4 papers), Neutrino Physics Research (2 papers), Neural dynamics and brain function (2 papers), Quantum Chromodynamics and Particle Interactions (2 papers), stochastic dynamics and bifurcation (2 papers), High-Energy Particle Collisions Research (2 papers), Dark Matter and Cosmic Phenomena (1 paper) and Particle Accelerators and Free-Electron Lasers (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (17 citations), Statistical and Nonlinear Physics (5 citations), Cognitive Neuroscience (4 citations), Biophysics (1 citation) and Computer Networks and Communications (2 citations). Si-Wei Qiu has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Carson C. Chow, D. Toussaint, J. Laiho, Matthew Lightman, Ran Zhou, James C. Osborn, Paul Miller, Alexei Bazavov, J. E. Hetrick and R. S. Van de Water. Their work appears in journals such as Physical review. E, Biological Cybernetics, Physical Review Letters, Proceedings of 31st International Symposium on Lattice Field Theory LATTICE 2013 — PoS(LATTICE 2013) and University of North Texas Digital Library (University of North Texas).

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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