Yu‐Tong Mu

2.0k total citations · 1 hit paper
44 papers, 1.6k citations indexed

About

Yu‐Tong Mu is a scholar working on Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment and Materials Chemistry. According to data from OpenAlex, Yu‐Tong Mu has authored 44 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Electrical and Electronic Engineering, 26 papers in Renewable Energy, Sustainability and the Environment and 14 papers in Materials Chemistry. Recurrent topics in Yu‐Tong Mu's work include Fuel Cells and Related Materials (23 papers), Electrocatalysts for Energy Conversion (21 papers) and Lattice Boltzmann Simulation Studies (9 papers). Yu‐Tong Mu is often cited by papers focused on Fuel Cells and Related Materials (23 papers), Electrocatalysts for Energy Conversion (21 papers) and Lattice Boltzmann Simulation Studies (9 papers). Yu‐Tong Mu collaborates with scholars based in China, United States and Romania. Yu‐Tong Mu's co-authors include Wen‐Quan Tao, Ya‐Ling He, Qinjun Kang, Li Chen, Pu He, Jing Ding, Ming-Jia Li, Zhaolin Gu, Ya‐Ling He and Zhiguo Qu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and Electrochimica Acta.

In The Last Decade

Yu‐Tong Mu

42 papers receiving 1.5k citations

Hit Papers

A critical review of the pseudopotential multiphase latti... 2014 2026 2018 2022 2014 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yu‐Tong Mu China 19 992 756 550 285 259 44 1.6k
Marcos Vera Spain 19 840 0.8× 415 0.5× 490 0.9× 248 0.9× 160 0.6× 65 1.3k
Andrea Luigi Facci Italy 20 406 0.4× 335 0.4× 132 0.2× 194 0.7× 341 1.3× 56 1.1k
I. Khazaee Iran 18 564 0.6× 141 0.2× 601 1.1× 288 1.0× 335 1.3× 44 1.2k
Abbasali Abouei Mehrizi Iran 21 201 0.2× 575 0.8× 253 0.5× 126 0.4× 502 1.9× 55 1.3k
Mohsen Nazari Iran 26 434 0.4× 974 1.3× 208 0.4× 90 0.3× 752 2.9× 98 1.8k
Zi-Xiang Tong China 18 210 0.2× 559 0.7× 156 0.3× 87 0.3× 526 2.0× 61 1.1k
Christophe Josset France 15 356 0.4× 308 0.4× 130 0.2× 92 0.3× 100 0.4× 32 810
Songzhen Tang China 23 229 0.2× 538 0.7× 217 0.4× 80 0.3× 949 3.7× 80 1.5k
Gan Huang China 24 332 0.3× 402 0.5× 698 1.3× 94 0.3× 621 2.4× 37 1.6k
Kyoungdoug Min South Korea 22 457 0.5× 682 0.9× 319 0.6× 344 1.2× 110 0.4× 127 1.7k

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
2.
Bai, Fan, et al.. (2025). Optimization of the operational conditions of PEMFC by a novel CFD-DT-GA approach. Applied Energy. 387. 125620–125620. 3 indexed citations
4.
Mu, Yu‐Tong, Shanshan Jiang, Ran Tao, et al.. (2025). Development of Z-scheme Al–SrTiO3/g-C3N4 heterojunctions with Co-rhx/cr2-xo3 Co-catalysts for enhanced photocatalytic overall water splitting. International Journal of Hydrogen Energy. 124. 84–91. 2 indexed citations
5.
Zhao, Hongming, Yu‐Tong Mu, Dabo Liu, et al.. (2025). Construction of W18O49/ZnTiO3 Z-Scheme heterojunction with rich oxygen vacancies and LSPR effect for enhanced photocatalytic H2 evolution. International Journal of Hydrogen Energy. 159. 150587–150587.
6.
Bai, Fan, et al.. (2025). Investigation on PEMFC stack cathode gas maldistribution by an experiment-assisted improved flow network and computational fluid dynamics. International Communications in Heat and Mass Transfer. 171. 110072–110072.
7.
He, Pu, Qianxi Zhang, Yu‐Tong Mu, et al.. (2025). Experimental investigation on the impact of ambient temperature and current load rate on the cold start behavior of a short PEMFC stack. Applied Energy. 396. 126317–126317. 2 indexed citations
8.
Chen, Junhong, et al.. (2024). Multi-objective decoupling control of thermal management system for PEM fuel cell. Energy and AI. 18. 100447–100447. 9 indexed citations
9.
Zhang, Guobin, Zhiguo Qu, Haitao Yang, Yu‐Tong Mu, & Yun Wang. (2024). Integrating full fan morphology and configuration in three-dimensional simulation of air-cooled proton exchange membrane fuel cell stack. Fuel. 368. 131628–131628. 9 indexed citations
10.
Zhang, Guobin, Zhiguo Qu, Haitao Yang, Yu‐Tong Mu, & Yun Wang. (2024). A one-dimensional model of air-cooled proton exchange membrane fuel cell stack integrating fan arrangement and operational characteristics. Applied Thermal Engineering. 249. 123353–123353. 3 indexed citations
11.
Zhang, Guobin, Zhiguo Qu, Wen‐Quan Tao, et al.. (2023). Advancing next-generation proton-exchange membrane fuel cell development in multi-physics transfer. Joule. 8(1). 45–63. 85 indexed citations
12.
Bai, Fan, et al.. (2022). Three-dimensional multi-field digital twin technology for proton exchange membrane fuel cells. Applied Energy. 324. 119763–119763. 37 indexed citations
14.
He, Pu, Li Chen, Yu‐Tong Mu, & Wen‐Quan Tao. (2019). Modeling of the effect of ionomer volume fraction on water management for proton exchange membrane fuel cell. Energy Procedia. 158. 2139–2144. 8 indexed citations
15.
Mu, Yu‐Tong, Pu He, Jing Ding, & Wen‐Quan Tao. (2017). Modeling of the operation conditions on the gas purging performance of polymer electrolyte membrane fuel cells. International Journal of Hydrogen Energy. 42(16). 11788–11802. 45 indexed citations
16.
Li, Mingjie, Christian Huber, Yu‐Tong Mu, & Wen‐Quan Tao. (2017). Lattice Boltzmann simulation of condensation in the presence of noncondensable gas. International Journal of Heat and Mass Transfer. 109. 1004–1013. 31 indexed citations
17.
Mu, Yu‐Tong, Ming-Jia Li, Ya‐Ling He, & Wen-Quan Tao. (2016). Pore-scale modelling of dynamic interaction between SVOCs and airborne particles with lattice Boltzmann method. Building and Environment. 104. 152–161. 23 indexed citations
18.
Mu, Yu‐Tong, Ming-Jia Li, Ya‐Ling He, Qinjun Kang, & Wen‐Quan Tao. (2016). Nucleate boiling performance evaluation of cavities at mesoscale level. International Journal of Heat and Mass Transfer. 106. 708–719. 78 indexed citations
19.
Mu, Yu‐Tong, Li Chen, Ya‐Ling He, & Wen‐Quan Tao. (2015). Numerical study on temperature uniformity in a novel mini-channel heat sink with different flow field configurations. International Journal of Heat and Mass Transfer. 85. 147–157. 60 indexed citations
20.
Chen, Li, Qinjun Kang, Yu‐Tong Mu, Ya‐Ling He, & Wen‐Quan Tao. (2014). A critical review of the pseudopotential multiphase lattice Boltzmann model: Methods and applications. International Journal of Heat and Mass Transfer. 76. 210–236. 627 indexed citations breakdown →

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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