Yaoran Chen

956 total citations
39 papers, 708 citations indexed

About

Yaoran Chen is a scholar working on Aerospace Engineering, Environmental Engineering and Computational Mechanics. According to data from OpenAlex, Yaoran Chen has authored 39 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Aerospace Engineering, 20 papers in Environmental Engineering and 12 papers in Computational Mechanics. Recurrent topics in Yaoran Chen's work include Wind Energy Research and Development (21 papers), Wind and Air Flow Studies (18 papers) and Fluid Dynamics and Vibration Analysis (10 papers). Yaoran Chen is often cited by papers focused on Wind Energy Research and Development (21 papers), Wind and Air Flow Studies (18 papers) and Fluid Dynamics and Vibration Analysis (10 papers). Yaoran Chen collaborates with scholars based in China, Japan and United States. Yaoran Chen's co-authors include Dai Zhou, Yan Bao, Zhaolong Han, Yongsheng Zhao, Zhikun Dong, Jie Su, Jie Su, Yan Wang, Yan Wang and Kai Zhang and has published in prestigious journals such as Journal of Applied Physics, Journal of Fluid Mechanics and Applied Energy.

In The Last Decade

Yaoran Chen

34 papers receiving 692 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yaoran Chen China	13	358	274	212	155	113	39	708
Yan Han China	13	171 0.5×	139 0.5×	166 0.8×	184 1.2×	53 0.5×	38	525
Haojun Tang China	15	225 0.6×	149 0.5×	325 1.5×	363 2.3×	67 0.6×	49	728
Tuhfe Göçmen Denmark	15	779 2.2×	409 1.5×	425 2.0×	245 1.6×	108 1.0×	46	982
Zilong Ti China	15	309 0.9×	180 0.7×	234 1.1×	258 1.7×	53 0.5×	36	718
Makola M. Abdullah United States	12	561 1.6×	309 1.1×	200 0.9×	92 0.6×	137 1.2×	18	1.0k
Ajit C. Pillai United Kingdom	12	235 0.7×	161 0.6×	77 0.4×	49 0.3×	30 0.3×	38	567
Michiel Zaaijer Netherlands	12	318 0.9×	107 0.4×	126 0.6×	124 0.8×	26 0.2×	28	659
Zhikun Dong China	9	113 0.3×	261 1.0×	75 0.4×	34 0.2×	94 0.8×	16	400
Guanghao Zhai China	6	90 0.3×	141 0.5×	113 0.5×	47 0.3×	64 0.6×	9	335
Alvaro Cuerva‐Tejero Spain	11	197 0.6×	194 0.7×	117 0.6×	77 0.5×	42 0.4×	37	409

Countries citing papers authored by Yaoran Chen

Since Specialization

Citations

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

Fields of papers citing papers by Yaoran Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaoran Chen

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

Zhou, Dai, Yaoran Chen, Limin Kuang, et al.. (2025). Impact of rotor solidity and blade number on wake characteristics of vertical-axis wind turbines. Physics of Fluids. 37(1). 3 indexed citations

Cao, Yong, Yaoran Chen, Shujin Laima, et al.. (2025). Generalizable super-resolution turbulence reconstruction from minimal training data. Journal of Fluid Mechanics. 1024.

Zhang, Dan, et al.. (2025). Multi-scale boundary-enhanced diffusion network for high-resolution sea surface height reconstruction. Physics of Fluids. 37(2). 1 indexed citations

Wu, Hao, et al.. (2025). Super-resolution reconstruction of subsurface temperature field in South China Sea using satellite observations. Physics of Fluids. 37(3). 2 indexed citations

Chen, Yaoran, et al.. (2024). TemproNet: A transformer-based deep learning model for seawater temperature prediction. Ocean Engineering. 293. 116651–116651. 26 indexed citations

Tu, Yu, et al.. (2024). A multi-fidelity framework for power prediction of wind farm under yaw misalignment. Applied Energy. 377. 124600–124600. 3 indexed citations

Chen, Yaoran, et al.. (2024). Assessment of turbulence model effects on WRF-LES of separated turbulent flows past a 3D hill. Journal of Wind Engineering and Industrial Aerodynamics. 254. 105910–105910.

Li, Rui, et al.. (2024). A physics-informed deep learning model to reconstruct turbulent wake from random sparse data. Physics of Fluids. 36(6). 9 indexed citations

Li, Rui, Yaoran Chen, Xiaowei Jin, et al.. (2024). Deep learning reconstruction of high-Reynolds-number turbulent flow field around a cylinder based on limited sensors. Ocean Engineering. 304. 117857–117857. 21 indexed citations

10.

Chen, Yuning, et al.. (2024). ConvTrans-CL: Ocean time series temperature data anomaly detection based context contrast learning. Applied Ocean Research. 150. 104122–104122. 4 indexed citations

11.

Wang, Zhenfan, Yaoran Chen, Limin Kuang, et al.. (2024). Ada2MF: Dual-adaptive multi-fidelity neural network approach and its application in wind turbine wake prediction. Engineering Applications of Artificial Intelligence. 137. 109061–109061. 2 indexed citations

12.

Kuang, Limin, Hiroshi Katsuchi, Dai Zhou, et al.. (2023). Strategy for mitigating wake interference between offshore vertical-axis wind turbines: Evaluation of vertically staggered arrangement. Applied Energy. 351. 121850–121850. 14 indexed citations

13.

Zhang, Zhihao, Limin Kuang, Zhaolong Han, et al.. (2023). Comparative analysis of bent and basic winglets on performance improvement of horizontal axis wind turbines. Energy. 281. 128252–128252. 28 indexed citations

14.

Chen, Yaoran, et al.. (2023). Sparse-measurement-based peak wind pressure evaluation by super-resolution convolutional neural networks. Journal of Wind Engineering and Industrial Aerodynamics. 242. 105574–105574. 9 indexed citations

15.

Chen, Yaoran, Leilei Cao, Dan Zhang, et al.. (2023). WindFix: Harnessing the power of self-supervised learning for versatile imputation of offshore wind speed time series. Energy. 287. 128995–128995. 10 indexed citations

16.

Zhang, Yuhang, Rui Wang, Yaoran Chen, et al.. (2020). Three-dimensional wake transition in the flow over four square cylinders at low Reynolds numbers. AIP Advances. 10(1). 4 indexed citations

17.

Chen, Yaoran, Zhikun Dong, Yan Wang, et al.. (2020). Short-term wind speed predicting framework based on EEMD-GA-LSTM method under large scaled wind history. Energy Conversion and Management. 227. 113559–113559. 146 indexed citations

18.

Chen, Yaoran, et al.. (2020). Investigation of Spanwise Wavy Configuration for Performance Improvement of a Vertical Axis Wind Turbine. 1 indexed citations

19.

Kuang, Limin, Jie Su, Yaoran Chen, et al.. (2019). Flow characteristics and dynamic responses of a parked straight‐bladed vertical axis wind turbine. Energy Science & Engineering. 7(5). 1767–1783. 6 indexed citations

20.

Su, Jie, et al.. (2019). Investigation of V-shaped blade for the performance improvement of vertical axis wind turbines. Applied Energy. 260. 114326–114326. 65 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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