M. Yu

698 citations
19 papers · 213 indexed · h-index 9

M. Yu

16 papers receiving 208 citations

Peers

M. Yu
Comparison fields: 5 of 16
  • Aerospace Engineering 189
  • Biomedical Engineering 202
  • Condensed Matter Physics 30
  • Electrical and Electronic Engineering 145
  • Nuclear and High Energy Physics 14
Replace S. Krave with:
S. Krave United States
A. M. Fernandez Navarro Spain
Juan Carlos Perez Switzerland
F. Broggi Italy
V. Ganni United States
F. Alessandria Italy
Vittorio Marinozzi United States
N. Andreev United States
S. Mariotto Italy
N. Higashi Japan
M. Yu relative to S. Krave United States S. Krave's profile →
Citations per field
00.5×1.5×1.8×
S. Krave · 1×
Citations per year

Countries citing papers authored by M. Yu

Since Specialization
Citations

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

Fields of papers citing papers by M. Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside M. Yu, 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 M. Yu Line = papers co-authored together M. Yu links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 20250
2 20251
3 20240
4 20213
5 20211
6 20176
7 20168
8 201628
9 201619
10 201627
11 20149
12 20149
13 20148
14 20139
15 201377
16
Studies of high-field sections of a muon helical cooling channel with coil separation
20111
17 20101
18
4-Coil Superconducting Helical Solenoid Model for MANX
20090
19 19876

About M. Yu

M. Yu is a scholar working on Aerospace Engineering, Biomedical Engineering, Electrical and Electronic Engineering, Nuclear and High Energy Physics and Mathematical Physics, having authored 19 papers that have together received 213 indexed citations. Recurring topics across this work include Superconducting Materials and Applications (15 papers), Particle accelerators and beam dynamics (14 papers), Particle Accelerators and Free-Electron Lasers (11 papers), Magnetic confinement fusion research (2 papers), Physics of Superconductivity and Magnetism (1 paper), Dust and Plasma Wave Phenomena (1 paper), Ionosphere and magnetosphere dynamics (1 paper) and Nuclear and radioactivity studies (1 paper). The work is most often cited by research in Aerospace Engineering (189 citations), Biomedical Engineering (202 citations), Condensed Matter Physics (30 citations), Electrical and Electronic Engineering (145 citations) and Nuclear and High Energy Physics (14 citations). M. Yu has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include G. Ambrosio, D. W. Cheng, Susana Izquierdo Bermúdez, P. Ferracin, R. Bossert, D.R. Dietderich, J. C. Pérez, S. Krave, H. Félice and E. Todesco. Their work appears in journals such as IEEE Transactions on Applied Superconductivity, Energy Science & Engineering, Nuclear Engineering and Design, Revista de la Unión Matemática Argentina and Physical review. A, General 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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