Yu‐Tong Mu

2.0k citations
44 papers · 1.6k indexed · 1 hit paper · h-index 19
Topics
Fuel Cells and Related Materials (23 papers)Electrocatalysts for Energy Conversion (21 papers)Lattice Boltzmann Simulation Studies (9 papers)
Journals
SHILAP Revista de lepidopterologíaApplied EnergyElectrochimica Acta

In The Last Decade

Yu‐Tong Mu

42 papers receiving 1.5k citations

Hit Papers

A critical review of the pseudopotential multiphase latti...20142026201820222014200400600

Peers

Yu‐Tong Mu
Comparison fields: 5 of 70
  • Electrical and Electronic Engineering 992
  • Computational Mechanics 756
  • Renewable Energy, Sustainability and the Environment 550
  • Materials Chemistry 285
  • Mechanical Engineering 259
Replace Marcos Vera with:
Marcos Vera Spain
Abbasali Abouei Mehrizi Iran
I. Khazaee Iran
Zi-Xiang Tong China
Mohsen Nazari Iran
Gan Huang China
Andrea Luigi Facci Italy
Songzhen Tang China
Kyoungdoug Min South Korea
Mokhtar Ghodbane Algeria
Yu‐Tong Mu relative to Marcos Vera Spain Marcos Vera's profile →
Citations per field
00.5×2.6×
Marcos Vera · 1×
Citations per year

Countries citing papers authored by Yu‐Tong Mu

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Tong Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu‐Tong Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Tong Mu. A scholar is included among the top collaborators of Yu‐Tong Mu 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 Yu‐Tong Mu. Yu‐Tong Mu 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
#WorkIndexed citations
1 2
2 3
3 0
4 0
5 2
6 1
7 9
8 2
9 9
10 9
11 3
12 8
13 85
14 2
15 31
16 45
17 14
18 23
19 60
20
A critical review of the pseudopotential multiphase lattice Boltzmann model: Methods and applicationsbreakdown →
627

About Yu‐Tong Mu

Yu‐Tong Mu is a scholar working on Renewable Energy, Sustainability and the Environment, Computational Mechanics and Electrical and Electronic Engineering, having authored 44 papers that have together received 1.6k indexed citations. Recurring topics across this work include Fuel Cells and Related Materials (23 papers), Electrocatalysts for Energy Conversion (21 papers) and Lattice Boltzmann Simulation Studies (9 papers). The work is most often cited by research in Computational Mechanics (756 citations), Renewable Energy, Sustainability and the Environment (550 citations) and Electrical and Electronic Engineering (992 citations). Yu‐Tong Mu has collaborated with scholars based in China, United States and Romania. Frequent co-authors include Wen‐Quan Tao, Ya‐Ling He, Qinjun Kang, Li Chen, Pu He, Jing Ding, Ming-Jia Li, Ya‐Ling He, Zhaolin Gu and Zhiguo Qu. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Energy and Electrochimica Acta.

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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