Jun Tao

772 total citations
27 papers, 563 citations indexed

About

Jun Tao is a scholar working on Aerospace Engineering, Computational Mechanics and Computational Theory and Mathematics. According to data from OpenAlex, Jun Tao has authored 27 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Aerospace Engineering, 11 papers in Computational Mechanics and 5 papers in Computational Theory and Mathematics. Recurrent topics in Jun Tao's work include Fluid Dynamics and Turbulent Flows (9 papers), Aerodynamics and Fluid Dynamics Research (8 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). Jun Tao is often cited by papers focused on Fluid Dynamics and Turbulent Flows (9 papers), Aerodynamics and Fluid Dynamics Research (8 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). Jun Tao collaborates with scholars based in China, United States and Canada. Jun Tao's co-authors include Gang Sun, Jianliang Ai, Yiqun Dong, Youmin Zhang, Wei Lin, Xinyu Wang, Xinyu Wang, Jiwei Zhai, Mingxu Zhang and Yin Liu and has published in prestigious journals such as Journal of the American Ceramic Society, Energy and Composites Part B Engineering.

In The Last Decade

Jun Tao

25 papers receiving 543 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jun Tao China	12	182	146	101	93	88	27	563
Liangxian Gu China	13	120 0.7×	73 0.5×	87 0.9×	128 1.4×	56 0.6×	51	466
Kevin J. Dowding United States	14	115 0.6×	145 1.0×	66 0.7×	175 1.9×	49 0.6×	42	602
Kazuo Yonekura Japan	13	67 0.4×	93 0.6×	96 1.0×	36 0.4×	31 0.4×	35	399
Jiaqi Liu China	12	164 0.9×	33 0.2×	23 0.2×	69 0.7×	85 1.0×	93	505
Peng Song China	11	164 0.9×	58 0.4×	88 0.9×	51 0.5×	110 1.3×	40	468
Jinju Sun China	17	221 1.2×	403 2.8×	112 1.1×	53 0.6×	22 0.3×	71	852
Gabriel Bugeda Spain	13	161 0.9×	345 2.4×	78 0.8×	64 0.7×	15 0.2×	62	686
Ali Elham Germany	19	609 3.3×	289 2.0×	115 1.1×	147 1.6×	53 0.6×	86	1.1k
Jie Wen China	20	239 1.3×	524 3.6×	52 0.5×	126 1.4×	28 0.3×	57	1.0k

Countries citing papers authored by Jun Tao

Since Specialization

Citations

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

Fields of papers citing papers by Jun Tao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Tao

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Tao. A scholar is included among the top collaborators of Jun Tao 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 Tao. Jun Tao 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

Chen, Xiukai, Z.W. Guan, Peng Li, et al.. (2025). Fabrication of high-temperature resistant SiCf/SiC-GH4950 joint using a novel Co-based HEA filler: Interfacial interaction and mechanical properties. Chinese Journal of Aeronautics. 103915–103915. 2 indexed citations

Liu, Jiarui, et al.. (2025). Aerodynamic shape optimization via active learning-driven design space refinement. Aerospace Science and Technology. 166. 110606–110606.

Chen, Xiukai, Hong Bian, Zhongwei Guan, et al.. (2025). Recent advances on joining of CMCs heterogeneous joints for aeroengine industry: Residual stress control, high-temperature fillers development and SiC-Ni reaction suppression. Composites Part B Engineering. 311. 113181–113181.

Su, Jing, Gang Sun, & Jun Tao. (2024). A novel inverse design method for morphing airfoil based on deep reinforcement learning. Aerospace Science and Technology. 145. 108895–108895. 9 indexed citations

Tao, Jun, et al.. (2023). A novel digital twin approach based on deep multimodal information fusion for aero-engine fault diagnosis. Energy. 270. 126894–126894. 75 indexed citations

Sun, Gang, et al.. (2023). An Improved Multi-Objective Particle Swarm Optimization Method for Rotor Airfoil Design. Aerospace. 10(9). 820–820. 1 indexed citations

Sun, Gang, et al.. (2022). A modified fusion model-based/data-driven model for sensor fault diagnosis and performance degradation estimation of aero-engine. Measurement Science and Technology. 33(8). 85105–85105. 11 indexed citations

Tao, Jun, et al.. (2022). A Prognostic and Health Management Framework for Aero-Engines Based on a Dynamic Probability Model and LSTM Network. Aerospace. 9(6). 316–316. 13 indexed citations

Tao, Jun, Xinyu Wang, & Gang Sun. (2021). Stall characteristics analyses and stall lift robustness inverse design for high-lift devices of a wide-body commercial aircraft. Aerospace Science and Technology. 111. 106570–106570. 5 indexed citations

10.

Dong, Yiqun, Jun Tao, Youmin Zhang, Wei Lin, & Jianliang Ai. (2021). Deep Learning in Aircraft Design, Dynamics, and Control: Review and Prospects. IEEE Transactions on Aerospace and Electronic Systems. 57(4). 2346–2368. 51 indexed citations

11.

Tao, Jun, et al.. (2020). Fuel efficiency optimization of high-aspect-ratio aircraft via variable camber technology considering aeroelasticity. Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering. 235(7). 782–793. 4 indexed citations

12.

Tao, Jun, et al.. (2020). Application of a PCA-DBN-based surrogate model to robust aerodynamic design optimization. Chinese Journal of Aeronautics. 33(6). 1573–1588. 44 indexed citations

13.

Tao, Jun, et al.. (2019). An innovative study on low surface energy micro-nano coatings with multilevel structures for laminar flow design. Chinese Journal of Aeronautics. 32(3). 577–584. 8 indexed citations

14.

Tao, Jun, et al.. (2019). Robust optimization for a wing at drag divergence Mach number based on an improved PSO algorithm. Aerospace Science and Technology. 92. 653–667. 32 indexed citations

15.

Wang, Xinyu, Shuyue Wang, Jun Tao, Gang Sun, & Jun Mao. (2018). A PCA–ANN-based inverse design model of stall lift robustness for high-lift device. Aerospace Science and Technology. 81. 272–283. 27 indexed citations

16.

Tao, Jun, et al.. (2017). Dispersion compensation of 2D acousto-optic deflector scanning femtosecond laser based on diffractive lens. Journal of Applied Optics. 38(2). 628–632. 1 indexed citations

17.

Tao, Jun & Gang Sun. (2015). A novel optimization method for maintaining aerodynamic performances in noise reduction design. Aerospace Science and Technology. 43. 415–422. 21 indexed citations

18.

Tao, Jun, et al.. (2014). Synthesis and swelling behaviours of APT-g-PAMPS superabsorbent composites by microwave irradiation. Materials Research Innovations. 18(sup2). S2–377. 8 indexed citations

19.

Tao, Jun, Zhiguo Yi, Yin Liu, Mingxu Zhang, & Jiwei Zhai. (2013). Dielectric Tunability, Dielectric Relaxation, and Impedance Spectroscopic Studies on ( Ba _0.85 Ca _0.15 )( Ti _0.9 Zr _0.1 ) O ₃ Lead‐Free Ceramics. Journal of the American Ceramic Society. 96(6). 1847–1851. 28 indexed citations

20.

Tao, Jun, et al.. (2001). Effect of roughness on elastohydrodynamic lubricant films in gear tooth contacts. ORCA Online Research @Cardiff. 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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