Y.-M. Liang

661 citations
10 papers · 550 · h-index 8

Impact in

Papers in

Y.-M. Liang

10 papers receiving 535 citations

Peers

Y.-M. Liang
Comparison fields: 5 of 41
  • Nuclear and High Energy Physics 445
  • Astronomy and Astrophysics 325
  • Media Technology 30
  • Computer Vision and Pattern Recognition 61
  • Statistical and Nonlinear Physics 31
Replace P.L. Klingner with:
P.L. Klingner United States
W. Jin China
Peter Timbie United States
Timothy J. Williams United States
D. C. McDonald United Kingdom
В. Б. Лебедев Russia
R.M. Churchill United States
S. Gu China
D. Y. Gezari United States
H. Lux United Kingdom
Y.-M. Liang relative to P.L. Klingner United States P.L. Klingner's profile →
Citations per field
00.5×7.5×
P.L. Klingner · 1×
Citations per year

Countries citing papers authored by Y.-M. Liang

Since Specialization
Citations

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

Fields of papers citing papers by Y.-M. Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Y.-M. Liang. 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 Y.-M. Liang. The network helps show where Y.-M. Liang may publish in the future.

Co-authors

The 11 scholars most cited alongside Y.-M. Liang, 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 Y.-M. Liang Line = papers co-authored together Y.-M. Liang links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1994320
2 199465
3 200462
4 199330
5 199329
6 199420
7 199312
8 19957
9 20243
10 19932

About Y.-M. Liang

Y.-M. Liang is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics, Computational Mechanics, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics, having authored 10 papers that have together received 550 indexed citations. Recurring topics across this work include Ionosphere and magnetosphere dynamics (7 papers), Magnetic confinement fusion research (6 papers), Fluid Dynamics and Turbulent Flows (3 papers), Solar and Space Plasma Dynamics (3 papers), Quantum optics and atomic interactions (1 paper), Advanced Vision and Imaging (1 paper), High-pressure geophysics and materials (1 paper) and Image and Object Detection Techniques (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (445 citations), Astronomy and Astrophysics (325 citations), Media Technology (30 citations), Computer Vision and Pattern Recognition (61 citations) and Statistical and Nonlinear Physics (31 citations). Y.-M. Liang has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include P. H. Diamond, P. W. Terry, B. A. Carreras, D. E. Newman, Hsiao-Rong Tyan, H.-Y.M. Liao, Alice Koniges, G. G. Craddock, Allan N. Kaufman and E. R. Tracy. Their work appears in journals such as Physics of Plasmas, Physical Review Letters, Physics of Fluids, IEEE Transactions on Vehicular Technology and Physics of Fluids B 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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