Mu-Lin Yan

1.3k total citations
62 papers, 880 citations indexed

About

Mu-Lin Yan is a scholar working on Nuclear and High Energy Physics, Statistical and Nonlinear Physics and Astronomy and Astrophysics. According to data from OpenAlex, Mu-Lin Yan has authored 62 papers receiving a total of 880 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Nuclear and High Energy Physics, 23 papers in Statistical and Nonlinear Physics and 20 papers in Astronomy and Astrophysics. Recurrent topics in Mu-Lin Yan's work include Particle physics theoretical and experimental studies (32 papers), Quantum Chromodynamics and Particle Interactions (32 papers) and Cosmology and Gravitation Theories (20 papers). Mu-Lin Yan is often cited by papers focused on Particle physics theoretical and experimental studies (32 papers), Quantum Chromodynamics and Particle Interactions (32 papers) and Cosmology and Gravitation Theories (20 papers). Mu-Lin Yan collaborates with scholars based in China, United States and Italy. Mu-Lin Yan's co-authors include Gui-Jun Ding, Jiliang Jing, Shuang‐Qing Wu, Xiaojun Wang, Barry M. McCoy, Si Li, Bing An Li, Bo-Qiang Ma, Bin Wu and Bo-Yu Hou and has published in prestigious journals such as Physical review. B, Condensed matter, Nuclear Physics B and Physics Letters B.

In The Last Decade

Mu-Lin Yan

57 papers receiving 850 citations

Peers

Mu-Lin Yan
Comparison fields: 5 of 34
  • Nuclear and High Energy Physics 804
  • Astronomy and Astrophysics 341
  • Statistical and Nonlinear Physics 250
  • Atomic and Molecular Physics, and Optics 99
  • Condensed Matter Physics 35
Replace Jnanadeva Maharana with:
Jnanadeva Maharana India
Marco Cariglia Brazil
Henrique Boschi-Filho Brazil
L. Carson United States
I. G. Koh South Korea
Rajat K. Bhaduri Canada
M. B. Voloshin United States
G. Grignani Italy
H. R. Christiansen Brazil
Riccardo Argurio Belgium
Jnanadeva Maharana India View profile →
Citations per field, relative to Mu-Lin Yan
Mu-Lin Yan · 1×
Citations per year, relative to Mu-Lin Yan
Mu-Lin Yan · 1×

Countries citing papers authored by Mu-Lin Yan

Since Specialization
Citations

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

Fields of papers citing papers by Mu-Lin Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mu-Lin Yan. 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 Mu-Lin Yan. The network helps show where Mu-Lin Yan may publish in the future.

Co-authorship network of co-authors of Mu-Lin Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Mu-Lin Yan. A scholar is included among the top collaborators of Mu-Lin Yan 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 Mu-Lin Yan. Mu-Lin Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 1
3 11
4 22
5 15
6 9
7
Nucleon-Antinucleon Bound States in Skyrmion-Type Potential
1
8 23
9 0
10 11
11 35
12
Statistical Entropy of The Static Dilaton Black Holes from the Cardy Formulas
6
13 6
14 68
15 18
16 3
17 3
18 12
19 1
20 6

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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