Jiahuan Cui

1.1k total citations
68 papers, 734 citations indexed

About

Jiahuan Cui is a scholar working on Aerospace Engineering, Computational Mechanics and Mechanical Engineering. According to data from OpenAlex, Jiahuan Cui has authored 68 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Aerospace Engineering, 45 papers in Computational Mechanics and 28 papers in Mechanical Engineering. Recurrent topics in Jiahuan Cui's work include Turbomachinery Performance and Optimization (38 papers), Fluid Dynamics and Turbulent Flows (37 papers) and Heat Transfer Mechanisms (25 papers). Jiahuan Cui is often cited by papers focused on Turbomachinery Performance and Optimization (38 papers), Fluid Dynamics and Turbulent Flows (37 papers) and Heat Transfer Mechanisms (25 papers). Jiahuan Cui collaborates with scholars based in China, United Kingdom and United States. Jiahuan Cui's co-authors include Paul G. Tucker, Eldad Avital, John Williams, Yan Yan, Wen Wang, Nagabhushana Rao Vadlamani, Honglin Li, Wen Wang, Jacqueline C. K. Lam and Victor O. K. Li and has published in prestigious journals such as International Journal of Heat and Mass Transfer, Computer Methods in Applied Mechanics and Engineering and Chemical Engineering Science.

In The Last Decade

Jiahuan Cui

61 papers receiving 712 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiahuan Cui China 16 528 432 266 74 41 68 734
Nicolas Gourdain France 19 880 1.7× 898 2.1× 327 1.2× 64 0.9× 41 1.0× 79 1.2k
Vassilios Pachidis United Kingdom 17 879 1.7× 378 0.9× 289 1.1× 31 0.4× 65 1.6× 173 1.2k
Jiaqi Luo China 18 485 0.9× 371 0.9× 207 0.8× 52 0.7× 17 0.4× 58 720
Yanfeng Zhang China 18 770 1.5× 606 1.4× 349 1.3× 95 1.3× 10 0.2× 107 952
Kaveh Ghorbanian Iran 14 369 0.7× 242 0.6× 273 1.0× 24 0.3× 40 1.0× 49 605
Simone Sebben Sweden 15 506 1.0× 311 0.7× 118 0.4× 305 4.1× 33 0.8× 67 748
Valerio D’Alessandro Italy 17 480 0.9× 481 1.1× 167 0.6× 294 4.0× 54 1.3× 57 997
Jack D. Mattingly United States 10 750 1.4× 393 0.9× 162 0.6× 19 0.3× 55 1.3× 21 1.2k
Zhenxu Sun China 17 540 1.0× 399 0.9× 117 0.4× 292 3.9× 27 0.7× 56 741
Tianyuan Liu China 14 206 0.4× 196 0.5× 177 0.7× 41 0.6× 45 1.1× 26 527

Countries citing papers authored by Jiahuan Cui

Since Specialization
Citations

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

Fields of papers citing papers by Jiahuan Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiahuan Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Jiahuan Cui. A scholar is included among the top collaborators of Jiahuan Cui 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 Jiahuan Cui. Jiahuan Cui 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.
Cui, Jiahuan, et al.. (2025). Efficient deep-learning-based surrogate model for reservoir production optimization using transfer learning and multi-fidelity data. Petroleum Science. 22(4). 1736–1756. 3 indexed citations
2.
Ge, Siqi, et al.. (2025). A novel VAWT design for urban wind utilization. 7–7.
3.
Cui, Jiahuan, Liuyu Xiang, Han Zhao, et al.. (2025). Can large language models independently complete tasks? A dynamic evaluation framework for multi-turn task planning and completion. Neurocomputing. 638. 130135–130135. 3 indexed citations
4.
5.
Cui, Jiahuan, et al.. (2025). Flow field prediction and optimization of non-axisymmetric aero-engine nacelles based on deep learning. Aerospace Science and Technology. 159. 109990–109990.
6.
Zeng, Qi, et al.. (2024). Multi-step optimization of hybrid cooling array via integrating Taguchi method and long short-term memory neural network. Applied Thermal Engineering. 254. 123814–123814. 2 indexed citations
7.
Wu, Yingchun, Yu Wang, Ge Song, et al.. (2024). POD and DMD analysis of dynamic flow structures in the recirculation region of an unconfined swirl cup. Experimental Thermal and Fluid Science. 160. 111306–111306.
8.
Cui, Jiahuan, et al.. (2024). A Driver Behavior Detection Model for Human-Machine Co-Driving Systems Based on an Improved Swin Transformer. World Electric Vehicle Journal. 16(1). 7–7. 1 indexed citations
9.
Wang, Wen, et al.. (2024). Multi-objective optimization of transpiration cooling for high pressure turbine vane. Applied Thermal Engineering. 246. 122926–122926. 13 indexed citations
10.
Zeng, Xian, Yang Zhang, Jiahuan Cui, Zuoli Xiao, & Jiaqi Luo. (2024). Direct numerical simulation of channel flow with real surface roughness using a ghost cell immersed boundary method. Physics of Fluids. 36(3). 4 indexed citations
11.
Cui, Jiahuan, et al.. (2024). Machine learning-based crack prediction modeling of laser cladding coatings. Journal of Physics Conference Series. 2825(1). 12022–12022. 2 indexed citations
12.
Song, Xiaoyu, et al.. (2024). Influence of surface roughness of thermal barrier coating on the cooling performance of a film-cooled turbine vane. Case Studies in Thermal Engineering. 65. 105698–105698. 3 indexed citations
13.
Cui, Jiahuan, et al.. (2023). Analysis of the effect of turbulent inflow on the flow-field and noise of supersonic jet flow using large eddy simulation. Journal of Sound and Vibration. 572. 118156–118156. 2 indexed citations
14.
Cui, Jiahuan, et al.. (2023). Investigation on aeroelastic characteristics of mistuned low-speed axial compressor rotor: Numerical methodology and optimization. Aerospace Science and Technology. 143. 108735–108735. 4 indexed citations
15.
Lyu, Benshuai, et al.. (2023). Experimental investigation into the acoustical superiority of ogee serrations in reducing leading edge noise. Applied Acoustics. 216. 109722–109722. 8 indexed citations
16.
17.
Yan, Hui, Yaning Wang, Yan Yan, & Jiahuan Cui. (2023). Physics-Informed Neural Network for Flow Prediction Based on Flow Visualization in Bridge Engineering. Atmosphere. 14(4). 759–759. 6 indexed citations
18.
19.
Cui, Jiahuan, et al.. (2022). Effects of hole arrangement and trenched hole on multirow film cooling. Proceedings. 2 indexed citations
20.
Wang, Wen, Jiahuan Cui, & Shaoxing Qu. (2022). Effects of hole arrangement and trenched hole on multirow film cooling. AIP Advances. 12(4). 7 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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