Jun Hu

777 total citations
87 papers, 565 citations indexed

About

Jun Hu is a scholar working on Aerospace Engineering, Mechanical Engineering and Computational Mechanics. According to data from OpenAlex, Jun Hu has authored 87 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Aerospace Engineering, 40 papers in Mechanical Engineering and 28 papers in Computational Mechanics. Recurrent topics in Jun Hu's work include Turbomachinery Performance and Optimization (46 papers), Refrigeration and Air Conditioning Technologies (26 papers) and Heat Transfer Mechanisms (17 papers). Jun Hu is often cited by papers focused on Turbomachinery Performance and Optimization (46 papers), Refrigeration and Air Conditioning Technologies (26 papers) and Heat Transfer Mechanisms (17 papers). Jun Hu collaborates with scholars based in China, United States and Germany. Jun Hu's co-authors include Yongming Song, Chenkai Zhang, Jin Guo, Maomao Li, Zhiqiang Wang, Yougang Tang, Zhiqiang Wang, Ruoyu Zhang, Chaohe Chen and Bo Lu and has published in prestigious journals such as PLoS ONE, IEEE Access and IEEE Transactions on Cybernetics.

In The Last Decade

Jun Hu

80 papers receiving 549 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jun Hu China	12	293	177	166	109	95	87	565
Rhea P. Liem Hong Kong	14	266 0.9×	152 0.9×	86 0.5×	54 0.5×	23 0.2×	52	697
Nader Montazerin Iran	13	115 0.4×	137 0.8×	97 0.6×	119 1.1×	153 1.6×	40	542
Ilan M. Kroo United States	18	626 2.1×	204 1.2×	145 0.9×	69 0.6×	73 0.8×	27	1.3k
K. Srinivas India	12	147 0.5×	190 1.1×	27 0.2×	20 0.2×	95 1.0×	71	604
Bret A. Naylor United States	8	380 1.3×	166 0.9×	40 0.2×	35 0.3×	17 0.2×	10	674
Lavi Rizki Zuhal Indonesia	11	104 0.4×	81 0.5×	45 0.3×	80 0.7×	57 0.6×	59	465
Prabhat Hajela United States	14	205 0.7×	99 0.6×	106 0.6×	54 0.5×	108 1.1×	63	837
Zhili Tang China	12	105 0.4×	94 0.5×	28 0.2×	24 0.2×	83 0.9×	55	498
Maxim Tyan South Korea	11	199 0.7×	58 0.3×	29 0.2×	19 0.2×	37 0.4×	39	413
Yang Shen China	15	163 0.6×	137 0.8×	25 0.2×	15 0.1×	100 1.1×	51	466

Countries citing papers authored by Jun Hu

Since Specialization

Citations

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

Fields of papers citing papers by Jun Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Hu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yuan, Manman, et al.. (2025). A novel fuzzy-rule-based deep fusion of hypergraph multi-modal for Alzheimer’s disease detection. Neurocomputing. 650. 130855–130855.

Ma, Shuai, et al.. (2023). The Application of a Laser-Printed Miniature Five-Hole Probe in the End-Wall Flow Measurement of a Multistage Axial Compressor. Aerospace. 10(12). 1020–1020. 1 indexed citations

Hu, Jun, et al.. (2023). Assimilation of Disparate Data for Improving the Performance Prediction of Body-Force Model. Journal of Turbomachinery. 145(9).

Hu, Jun, et al.. (2021). Analysis Methods for Aerodynamic Instability Detection on a Multistage Axial Compressor. International Journal of Aerospace Engineering. 2021. 1–14. 5 indexed citations

Li, Chuanpeng, et al.. (2021). Experimental and numerical investigation on total pressure distortion generated by a rectangular movable flat baffle. Advances in Mechanical Engineering. 13(2). 2 indexed citations

Hu, Jun, et al.. (2021). Effects of tip air injection on the aerodynamic stability of an axial flow compressor with total pressure distortion. Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering. 236(8). 1488–1501. 3 indexed citations

Wang, Hao, et al.. (2020). Investigation on the aerodynamic performance of high camber turning angle cascade with tubercle leading edge. Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy. 235(1). 29–43. 4 indexed citations

Hu, Jun, et al.. (2020). Experimental and Numerical Investigation on Effects of the Steam Ingestion on the Aerodynamic Stability of an Axial Compressor. Entropy. 22(12). 1416–1416. 2 indexed citations

Hu, Jun, et al.. (2020). An experimental investigation on the interaction between inlet swirl distortion and a low-speed axial compressor. Science Progress. 103(3). 3896508536–3896508536. 2 indexed citations

10.

Guo, Jin, et al.. (2020). Numerical investigation of total temperature distortion problem in a multistage fan based on body force approach. International Journal of Turbo and Jet Engines. 40(2). 127–137. 1 indexed citations

11.

Jiang, C., et al.. (2020). Numerical Investigation on Flow Field Distribution of Eccentric Compressors Based on Steady and Unsteady CFD Methods. Energies. 13(22). 6081–6081. 4 indexed citations

12.

Hu, Jun, et al.. (2019). The effect of high temperature steam ingestion on aerodynamic performance and stability of a low-speed axial compressor. Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering. 234(3). 871–886. 2 indexed citations

13.

Guo, Jin, et al.. (2019). A mixed-fidelity computational model of aero engine for inlet distortion. Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering. 233(14). 5295–5309. 1 indexed citations

14.

Hu, Jun, et al.. (2018). The effect of high-temperature steam ingestion on aerodynamic performance and stability of a transonic rotor. Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering. 233(9). 3351–3367. 3 indexed citations

15.

Song, Yongming & Jun Hu. (2017). Vector similarity measures of hesitant fuzzy linguistic term sets and their applications. PLoS ONE. 12(12). e0189579–e0189579. 15 indexed citations

16.

Zhang, Chenkai, et al.. (2017). Three-dimensional compressor blading design improvements in low-speed model testing. Aerospace Science and Technology. 63. 179–190. 20 indexed citations

17.

Wang, Zhiqiang, Bo Lu, Jiaxin Liu, & Jun Hu. (2017). Numerical simulation of unsteady tip clearance flow in a transonic compressor rotor. Aerospace Science and Technology. 72. 193–203. 29 indexed citations

18.

Huang, Zhiqiu, et al.. (2012). Model-driven Safety Dependence Verification for Component-based Airborne Software Supporting Airworthiness Certification. Acta Aeronautica et Astronautica Sinica. 2 indexed citations

19.

Hu, Jun, Xiaofeng Yu, Yan Zhang, et al.. (2005). Scenario-Based Specifications Verification for Component-Based Embedded Software Designs. 240–247. 3 indexed citations

20.

Hu, Jun & Leonhard Fottner. (1999). A new simplified model of post stall transients in axial compression systems. Journal of Thermal Science. 8(3). 176–189. 3 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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