Xingjun Hu

481 total citations · 1 hit paper
47 papers, 314 citations indexed

About

Xingjun Hu is a scholar working on Aerospace Engineering, Automotive Engineering and Computational Mechanics. According to data from OpenAlex, Xingjun Hu has authored 47 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Aerospace Engineering, 17 papers in Automotive Engineering and 14 papers in Computational Mechanics. Recurrent topics in Xingjun Hu's work include Aerodynamics and Fluid Dynamics Research (25 papers), Fluid Dynamics and Turbulent Flows (10 papers) and Wind and Air Flow Studies (8 papers). Xingjun Hu is often cited by papers focused on Aerodynamics and Fluid Dynamics Research (25 papers), Fluid Dynamics and Turbulent Flows (10 papers) and Wind and Air Flow Studies (8 papers). Xingjun Hu collaborates with scholars based in China, Australia and Japan. Xingjun Hu's co-authors include Zhenhai Gao, Sida Ren, Yang Xiao, Deping Wang, Jingyu Wang, Peng Guo, Hua Xin, Bo Yang, Yulong Lei and Hui Zheng and has published in prestigious journals such as Langmuir, Scientific Reports and Chemical Engineering Journal.

In The Last Decade

Xingjun Hu

39 papers receiving 298 citations

Hit Papers

Advancements in the safety of Lithium-Ion Battery: The Tr... 2024 2026 2025 2024 25 50 75 100
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Advancements in the safety of Lithium-Ion Battery: The Trigger, consequence and mitigation method of thermal runaway
    2024 107 citations Xingjun Hu, Zhenhai Gao et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xingjun Hu China 9 140 133 127 68 52 47 314
Zhiping Guo China 10 209 1.5× 138 1.0× 200 1.6× 65 1.0× 74 1.4× 29 419
Yang Sui China 7 100 0.7× 232 1.7× 71 0.6× 185 2.7× 135 2.6× 11 361
Chao An China 10 174 1.2× 106 0.8× 136 1.1× 58 0.9× 12 0.2× 42 393
Giovanni Vorraro Italy 14 144 1.0× 104 0.8× 67 0.5× 96 1.4× 12 0.2× 40 384
S. Muroyama Japan 10 63 0.5× 94 0.7× 218 1.7× 26 0.4× 57 1.1× 40 345
Fenzhu Ji China 10 149 1.1× 75 0.6× 68 0.5× 66 1.0× 5 0.1× 26 362
Gino Sovran United States 10 214 1.5× 208 1.6× 65 0.5× 134 2.0× 125 2.4× 16 399
Tarcisio Cerri Italy 11 182 1.3× 87 0.7× 24 0.2× 153 2.3× 15 0.3× 32 406
Mengge Yu China 10 56 0.4× 264 2.0× 15 0.1× 158 2.3× 173 3.3× 33 333
Kevin C. Marr United States 10 466 3.3× 113 0.8× 385 3.0× 34 0.5× 13 0.3× 17 574

Countries citing papers authored by Xingjun Hu

Since Specialization
Citations

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

Fields of papers citing papers by Xingjun Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingjun Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Xingjun Hu. A scholar is included among the top collaborators of Xingjun Hu 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 Xingjun Hu. Xingjun Hu 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
1.
Yang, Yang, Zhenhai Gao, Xingjun Hu, et al.. (2025). Analysis of heat and cooling characteristics of hub motors in electric vehicles. Thermal Science and Engineering Progress. 62. 103616–103616. 1 indexed citations
2.
Wang, Hanfeng, et al.. (2025). Flow control of D-shaped bluff bodies using attached dual membranes. International Journal of Mechanical Sciences. 305. 110910–110910. 1 indexed citations
3.
4.
Hu, Xingjun, K. Shi, Zirui Wang, et al.. (2025). Advancing thermal comfort prediction: Improvement of the Berkeley local thermal sensation model and overall thermal sensation prediction by machine learning. Building and Environment. 278. 113036–113036. 2 indexed citations
5.
Alam, Firoz, Yingai Jin, & Xingjun Hu. (2025). Current Status and Future Prospects of Commercial Wind Power Generation. Energies. 18(22). 6068–6068.
6.
Hu, Xingjun, et al.. (2024). Aerodynamic characteristics and liquid film movement morphology of the DrivAer model in rainfall environments. Physics of Fluids. 36(12). 1 indexed citations
7.
Liang, Hongyang, et al.. (2024). Active control of cavity buffeting noise using a DBD plasma model based on interval uncertainty correction. Mechanical Systems and Signal Processing. 224. 112121–112121. 3 indexed citations
8.
Gao, Zhenhai, et al.. (2024). Numerical investigation of thermal soak within engine bay using lattice Boltzmann method. Scientific Reports. 14(1). 19472–19472.
9.
Hu, Xingjun, et al.. (2024). Numerical investigation and comparison of the aerodynamic characteristics of non-pneumatic tire and pneumatic tire. Journal of Wind Engineering and Industrial Aerodynamics. 250. 105766–105766. 5 indexed citations
10.
Hu, Xingjun, et al.. (2024). Wetting State Transition of Laser Direct Writing Aluminum Surface Based on Coupling Effect of Micro/Nanoscale Characteristics. Langmuir. 40(29). 15196–15204. 1 indexed citations
11.
Zhao, Ying, et al.. (2024). Mechanical-thermal coupling design on battery pack embedded with concave quadrilateral cellular structure. Applied Thermal Engineering. 260. 124973–124973. 2 indexed citations
12.
Wang, Jingyu, et al.. (2024). Research on Thermal Comfort of Human Body Under Localized Automotive Air Conditioning. Journal of Thermal Science and Engineering Applications. 17(1).
13.
Hu, Xingjun, et al.. (2023). Active control of cavity buffeting noise using a dielectric barrier discharge plasma actuator. Mechanical Systems and Signal Processing. 208. 110959–110959. 4 indexed citations
14.
Wang, Z., et al.. (2023). Multi-objective optimization of phase change cooling battery module based on optimal support vector machineoptimal support Vector Machine. Applied Thermal Engineering. 236. 121386–121386. 10 indexed citations
15.
Hu, Xingjun, et al.. (2022). The low frequency pressure pulsation and control of the open-jet wind tunnel. Scientific Reports. 12(1). 19090–19090. 3 indexed citations
16.
Wang, Zewei, et al.. (2021). Study on vehicle drag reduction simulation based on Suzen–Huang model. Physics of Plasmas. 28(6). 5 indexed citations
17.
Li, Sheng, et al.. (2017). Numerical Simulation Research on Pressure during Door Closure of Commercial Vehicle. SAE International journal of commercial vehicles. 10(2). 453–459. 4 indexed citations
18.
Hu, Xingjun, et al.. (2011). Influence of Different Diffuser Angle on Sedan's Aerodynamic Characteristics. Physics Procedia. 22. 239–245. 26 indexed citations
19.
Hu, Xingjun. (2008). Influence of Automotive Underbody Shape on Aerodynamic Performance. Zhongguo gonglu xuebao. 2 indexed citations
20.
Hu, Xingjun. (2005). Application and Advantages of Spiral CT. 1 indexed citations

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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