Xianfeng Yu

486 total citations
28 papers, 358 citations indexed

About

Xianfeng Yu is a scholar working on Environmental Engineering, Civil and Structural Engineering and Atmospheric Science. According to data from OpenAlex, Xianfeng Yu has authored 28 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Environmental Engineering, 11 papers in Civil and Structural Engineering and 10 papers in Atmospheric Science. Recurrent topics in Xianfeng Yu's work include Wind and Air Flow Studies (25 papers), Meteorological Phenomena and Simulations (8 papers) and Tropical and Extratropical Cyclones Research (7 papers). Xianfeng Yu is often cited by papers focused on Wind and Air Flow Studies (25 papers), Meteorological Phenomena and Simulations (8 papers) and Tropical and Extratropical Cyclones Research (7 papers). Xianfeng Yu collaborates with scholars based in China, Hong Kong and United States. Xianfeng Yu's co-authors include Zhuangning Xie, Mu Gu, Ming Gu, Peng Huang, Chao Huang, Zengshun Chen, Bin Cai, Yi Yang, Yanguang Yu and Xu Wang and has published in prestigious journals such as Building and Environment, Engineering Structures and Journal of Structural Engineering.

In The Last Decade

Xianfeng Yu

27 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xianfeng Yu China 12 280 141 133 118 69 28 358
Maryam Asghari Mooneghi United States 7 252 0.9× 103 0.7× 122 0.9× 126 1.1× 54 0.8× 12 389
K. Hibi Japan 9 382 1.4× 188 1.3× 166 1.2× 130 1.1× 58 0.8× 13 460
Z.N. Li China 6 211 0.8× 67 0.5× 197 1.5× 70 0.6× 62 0.9× 9 352
V. Valamanesh United States 12 138 0.5× 146 1.0× 369 2.8× 79 0.7× 73 1.1× 13 584
Pedro L. Fernández-Cabán United States 10 228 0.8× 82 0.6× 76 0.6× 86 0.7× 99 1.4× 22 313
Acir Mércio Loredo-Souza Brazil 10 238 0.8× 191 1.4× 85 0.6× 131 1.1× 52 0.8× 31 379
T. G. Mara Canada 10 227 0.8× 118 0.8× 95 0.7× 87 0.7× 60 0.9× 22 342
Michael C. H. Hui China 8 376 1.3× 283 2.0× 153 1.2× 189 1.6× 70 1.0× 18 471
Jun Kanda Japan 12 349 1.2× 190 1.3× 276 2.1× 175 1.5× 44 0.6× 73 595
Alexandre Luis Braun Brazil 11 205 0.7× 214 1.5× 51 0.4× 115 1.0× 21 0.3× 25 355

Countries citing papers authored by Xianfeng Yu

Since Specialization
Citations

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

Fields of papers citing papers by Xianfeng Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xianfeng Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Xianfeng Yu. A scholar is included among the top collaborators of Xianfeng Yu 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 Xianfeng Yu. Xianfeng Yu 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
2.
Li, Feiqiang, et al.. (2025). Intelligent long-term prediction of wind-induced response of super high-rise buildings during typhoons based on wind tunnel tests. Journal of Building Engineering. 103. 112144–112144. 1 indexed citations
3.
Li, Feiqiang, et al.. (2025). Estimation of long-term variation patterns in the modal properties of a skyscraper under environmental effects. Engineering Structures. 336. 120451–120451. 1 indexed citations
4.
Chen, Yuru, et al.. (2024). High-fidelity aerodynamic model for generalized crosswind loads on tall buildings. Engineering Structures. 318. 118768–118768. 1 indexed citations
5.
Li, Feiqiang, Zhuangning Xie, Xianfeng Yu, & Yi Yang. (2024). Investigation of the evolution of urban wind fields during typhoons using a wind LiDAR network: A case study of Super Typhoon Saola (2309). Atmospheric Research. 307. 107489–107489. 3 indexed citations
6.
Li, Feiqiang, Zhuangning Xie, Yi Yang, & Xianfeng Yu. (2023). Investigations of synoptic wind profile patterns in complex urban areas based on LiDAR measurements. Building and Environment. 242. 110573–110573. 12 indexed citations
7.
Wang, Qinhua, et al.. (2023). Asymmetric and Cubic Nonlinear Energy Sink Inerters for Mitigating Wind-Induced Responses of High-Rise Buildings. Structural Control and Health Monitoring. 2023. 1–22. 11 indexed citations
8.
Liu, Chunlei, et al.. (2023). Wind Effects of Super High-Rise Buildings in the Pearl River Delta of China Based on 10-Year Full-Scale Measurements. Journal of Structural Engineering. 150(2). 3 indexed citations
9.
Zhang, Chunsheng, et al.. (2023). Field measurement study of intense thunderstorm outflows characteristics based on 356 m high meteorological tower. Journal of Wind Engineering and Industrial Aerodynamics. 242. 105590–105590. 11 indexed citations
10.
Liu, Chunlei, et al.. (2022). Investigation on modal coupling–aeroelastic effect of a super tall building by MDOF aeroelastic model test. Journal of Wind Engineering and Industrial Aerodynamics. 231. 105248–105248. 9 indexed citations
11.
Xie, Zhuangning, et al.. (2022). Refined prediction of crosswind forces on rectangular tall buildings with different side ratios. Engineering Structures. 277. 115462–115462. 6 indexed citations
12.
Xie, Zhuangning, et al.. (2020). Field measurements and wind tunnel experimental investigations of wind effects on Guangzhou West Tower. The Structural Design of Tall and Special Buildings. 29(13). 22 indexed citations
13.
Yu, Xianfeng, et al.. (2019). Linearized analysis of the internal pressures for a two-compartment building with leakage. Wind and Structures. 28(2). 89.
14.
Yu, Xianfeng, Zhuangning Xie, & Ming Gu. (2019). Coupling Vibration between Wind-Induced Internal Pressure and a Flexible Roof for Buildings with a Dominant Opening and Background Leakage. KSCE Journal of Civil Engineering. 23(9). 4075–4084. 2 indexed citations
15.
Yu, Xianfeng, Zhuangning Xie, & Ming Gu. (2018). Interference effects between two tall buildings with different section sizes on wind-induced acceleration. Journal of Wind Engineering and Industrial Aerodynamics. 182. 16–26. 45 indexed citations
16.
Chen, Zengshun, et al.. (2017). Experimental investigations on VIV of bridge deck sections: A case study. KSCE Journal of Civil Engineering. 21(7). 2821–2827. 15 indexed citations
17.
Huang, Peng, et al.. (2017). Wind characteristics near the ground during typhoon Meari. Journal of Zhejiang University. Science A. 18(1). 33–48. 11 indexed citations
18.
Huang, Peng, et al.. (2017). Near ground wind characteristics during typhoon Meari: Turbulence intensities, gust factors, and peak factors. Journal of Central South University. 24(10). 2421–2430. 6 indexed citations
19.
Huang, Chao, et al.. (2016). Study on wind characteristics of a strong typhoon in near-ground boundary layer. The Structural Design of Tall and Special Buildings. 26(5). e1338–e1338. 28 indexed citations
20.
Yu, Xianfeng, et al.. (2015). Interference effects on wind pressure distribution between two high-rise buildings. Journal of Wind Engineering and Industrial Aerodynamics. 142. 188–197. 72 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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