Qing’an Li

3.6k total citations
143 papers, 2.8k citations indexed

About

Qing’an Li is a scholar working on Aerospace Engineering, Environmental Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Qing’an Li has authored 143 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Aerospace Engineering, 45 papers in Environmental Engineering and 39 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Qing’an Li's work include Wind Energy Research and Development (70 papers), Wind and Air Flow Studies (44 papers) and Magnetic and transport properties of perovskites and related materials (32 papers). Qing’an Li is often cited by papers focused on Wind Energy Research and Development (70 papers), Wind and Air Flow Studies (44 papers) and Magnetic and transport properties of perovskites and related materials (32 papers). Qing’an Li collaborates with scholars based in China, Japan and United States. Qing’an Li's co-authors include Yasunari Kamada, Takao Maeda, Junsuke MURATA, Masayuki Yamamoto, Kento Shimizu, Chang Cai, J. F. Mitchell, Yusuke Nishida, Zhao‐Hua Cheng and Yanfeng Zhang and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Physical review. B, Condensed matter.

In The Last Decade

Qing’an Li

135 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qing’an Li China	30	1.9k	1.1k	750	518	442	143	2.8k
Yufeng Yao United Kingdom	26	738 0.4×	303 0.3×	945 1.3×	261 0.5×	361 0.8×	167	2.3k
Hans Bernhoff Sweden	28	1.4k 0.7×	498 0.4×	532 0.7×	186 0.4×	59 0.1×	117	3.6k
Zhonghe Han China	31	359 0.2×	159 0.1×	282 0.4×	156 0.3×	277 0.6×	145	2.6k
Long Wu Taiwan	29	297 0.2×	134 0.1×	297 0.4×	245 0.5×	101 0.2×	180	3.2k
Chae Hoon Sohn South Korea	22	667 0.4×	47 0.0×	997 1.3×	154 0.3×	178 0.4×	97	1.5k
Oliver Probst Mexico	19	485 0.3×	280 0.2×	194 0.3×	25 0.0×	146 0.3×	75	1.4k
Boyang Shen United Kingdom	33	407 0.2×	328 0.3×	29 0.0×	468 0.9×	1.8k 4.1×	197	3.5k
Youquan Liu China	21	134 0.1×	127 0.1×	271 0.4×	325 0.6×	27 0.1×	96	1.4k
C. J. Hoogendoorn Netherlands	27	258 0.1×	280 0.2×	1.2k 1.6×	56 0.1×	40 0.1×	65	2.4k
Chris R. Kleijn Netherlands	34	309 0.2×	76 0.1×	1.5k 2.0×	96 0.2×	83 0.2×	134	4.0k

Countries citing papers authored by Qing’an Li

Since Specialization

Citations

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

Fields of papers citing papers by Qing’an Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qing’an Li. 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 Qing’an Li. The network helps show where Qing’an Li may publish in the future.

Co-authorship network of co-authors of Qing’an Li

This figure shows the co-authorship network connecting the top 25 collaborators of Qing’an Li. A scholar is included among the top collaborators of Qing’an Li 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 Qing’an Li. Qing’an Li 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, Xiaoxu, et al.. (2025). A Review of Experiment Methods, Simulation Approaches and Wake Characteristics of Floating Offshore Wind Turbines. Journal of Marine Science and Engineering. 13(2). 208–208. 2 indexed citations

Cai, Chang, Xiaohui Liu, Chaoyi Peng, et al.. (2025). A Review on Performance Calculation and Design Methodologies for Horizontal-Axis Wind Turbine Blades. Energies. 18(2). 435–435.

Wang, Dian, et al.. (2025). Enhancing Aerodynamic Performance of Horizontal Axis Wind Turbine Blade Aerodynamic Performance Under Rough Wall Condition Using Vortex Generators. Journal of Marine Science and Engineering. 13(3). 397–397. 2 indexed citations

Zhang, He, et al.. (2025). Multi-objective structural optimization of long flexible wind turbine blades for enhanced lightweight and reliability. Energy. 336. 138487–138487. 1 indexed citations

Wang, Xinbao, Xiao Yang, Chang Cai, et al.. (2024). Cyclic pitch control for aerodynamic load reductions of floating offshore wind turbines under pitch motions. Energy. 309. 132945–132945. 3 indexed citations

Song, Dongran, Tianhui Fan, Qing’an Li, & Young Hoon Joo. (2024). Advances in Offshore Wind. Journal of Marine Science and Engineering. 12(2). 359–359. 6 indexed citations

Li, Xinyu, et al.. (2024). Dynamic Analysis of a Moored Spar Platform in a Uniform Current: Fluid Load Prediction Using a Surrogate Model. Journal of Marine Science and Engineering. 12(5). 792–792. 1 indexed citations

Liu, Chang, Yanfeng Zhang, Shijie Guo, et al.. (2024). Research on the Icing Diagnosis of Wind Turbine Blades Based on FS–XGBoost–EWMA. Energy Engineering. 121(7). 1739–1758. 5 indexed citations

Qian, Jing, Xiangyu Sun, Xiaohui Zhong, et al.. (2023). Multi-objective optimization design of the wind-to-heat system blades based on the Particle Swarm Optimization algorithm. Applied Energy. 355. 122186–122186. 20 indexed citations

10.

Zhang, Fanghong, et al.. (2023). Abnormality Detection Method for Wind Turbine Bearings Based on CNN-LSTM. Energies. 16(7). 3291–3291. 16 indexed citations

11.

Li, Xinyu, et al.. (2023). Cable tension formulas for gravity net cage arrays in current. Ocean Engineering. 291. 116423–116423. 3 indexed citations

12.

Li, Qing’an, Takao Maeda, Yasunari Kamada, et al.. (2023). Study Method of Pitch-Angle Control on Load and the Performance of a Floating Offshore Wind Turbine by Experiments. Energies. 16(6). 2762–2762. 4 indexed citations

13.

Wang, Xinbao, et al.. (2023). A review of aerodynamic and wake characteristics of floating offshore wind turbines. Renewable and Sustainable Energy Reviews. 175. 113144–113144. 50 indexed citations

14.

Chen, Jixing, et al.. (2023). Study on Atmospheric Stability and Wake Attenuation Constant of Large Offshore Wind Farm in Yellow Sea. Energies. 16(5). 2227–2227.

15.

Cai, Chang, et al.. (2023). Study on the Rotation Effect on the Modal Performance of Wind Turbine Blades. Energies. 16(3). 1036–1036. 1 indexed citations

16.

Yan, Min, Zhongyuan Guo, Qing’an Li, et al.. (2022). Density Functional Theory Studies on Boron-Modified Graphene Edges for Electroreduction of Nitrogen. ACS Applied Nano Materials. 5(8). 11270–11279. 10 indexed citations

17.

Zhang, Xiaoyang, et al.. (2022). Research on Representative Engineering Applications of Anemometer Towers Location in Complex Topography Wind Resource Assessment. Energy Engineering. 120(1). 163–179. 2 indexed citations

18.

Cai, Chang, et al.. (2022). Review of Study on the Coupled Dynamic Performance of Floating Offshore Wind Turbines. Energies. 15(11). 3970–3970. 10 indexed citations

19.

Wang, Zekun, et al.. (2021). Study on the Optimal Configuration of a Wind-Solar-Battery-Fuel Cell System Based on a Regional Power Supply. IEEE Access. 9. 47056–47068. 21 indexed citations

20.

Zheng, Hao, Qing’an Li, K. E. Gray, & J. F. Mitchell. (2008). Charge/orbital ordered phases of La{sub 2-2x}Sr{sub 1+2x}Mn{sub 2}O{sub 7-{delta}}.. Physical Review B. 78(15). 155103. 12 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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