Andy Tan

643 total citations
29 papers, 417 citations indexed

About

Andy Tan is a scholar working on Aerospace Engineering, Computational Mechanics and Statistical and Nonlinear Physics. According to data from OpenAlex, Andy Tan has authored 29 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Aerospace Engineering, 9 papers in Computational Mechanics and 7 papers in Statistical and Nonlinear Physics. Recurrent topics in Andy Tan's work include Wind Energy Research and Development (20 papers), Fluid Dynamics and Vibration Analysis (8 papers) and Wind and Air Flow Studies (7 papers). Andy Tan is often cited by papers focused on Wind Energy Research and Development (20 papers), Fluid Dynamics and Vibration Analysis (8 papers) and Wind and Air Flow Studies (7 papers). Andy Tan collaborates with scholars based in Malaysia, China and Australia. Andy Tan's co-authors include Longyan Wang, Yuantong Gu, Michael E. Cholette, Zhaohui Luo, Jianping Yuan, Yanxia Fu, Jianping Yuan, Zilu Wang, Meng Chen and Wei Luo and has published in prestigious journals such as Energy Conversion and Management, Energy and Renewable Energy.

In The Last Decade

Andy Tan

26 papers receiving 409 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andy Tan Malaysia 14 318 145 122 98 62 29 417
Insu Paek South Korea 17 378 1.2× 221 1.5× 94 0.8× 87 0.9× 43 0.7× 71 671
Jason Roadman United States 12 571 1.8× 192 1.3× 313 2.6× 207 2.1× 34 0.5× 18 699
Frédéric Hauville France 11 235 0.7× 123 0.8× 47 0.4× 124 1.3× 21 0.3× 38 447
Bart Doekemeijer Netherlands 17 831 2.6× 504 3.5× 339 2.8× 221 2.3× 79 1.3× 37 904
Xiao He China 16 343 1.1× 30 0.2× 36 0.3× 291 3.0× 56 0.9× 44 645
Mehran Masdari Iran 10 299 0.9× 26 0.2× 116 1.0× 190 1.9× 20 0.3× 51 381
Miguel Silvestre Portugal 11 346 1.1× 26 0.2× 62 0.5× 168 1.7× 10 0.2× 32 477
Andrew P. J. Stanley United States 12 283 0.9× 123 0.8× 130 1.1× 40 0.4× 54 0.9× 26 345
Jared Thomas United States 9 328 1.0× 118 0.8× 164 1.3× 63 0.6× 45 0.7× 18 369
Cheng Yee Ng Malaysia 9 109 0.3× 84 0.6× 28 0.2× 75 0.8× 31 0.5× 49 419

Countries citing papers authored by Andy Tan

Since Specialization
Citations

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

Fields of papers citing papers by Andy Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andy Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Andy Tan. A scholar is included among the top collaborators of Andy Tan 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 Andy Tan. Andy Tan 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
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Wang, Longyan, et al.. (2025). TurbineNet: Advancing tidal turbine blade hydrodynamic performance prediction with neural networks. Physics of Fluids. 37(2). 2 indexed citations
3.
Luo, Zhaohui, et al.. (2025). From sparse sensing to physics-consistent reconstruction of unsteady wind turbine wakes towards control-oriented modeling. Energy Conversion and Management. 349. 120872–120872.
4.
Wang, Longyan, et al.. (2025). Mesh-based data-driven approach for optimization of tidal turbine blade shape. Energy. 328. 136699–136699. 1 indexed citations
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Wang, Longyan, et al.. (2024). DLFSI: A deep learning static fluid-structure interaction model for hydrodynamic-structural optimization of composite tidal turbine blade. Renewable Energy. 224. 120179–120179. 7 indexed citations
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Luo, Zhaohui, et al.. (2024). Wind turbine dynamic wake flow estimation (DWFE) from sparse data via reduced-order modeling-based machine learning approach. Renewable Energy. 237. 121552–121552. 8 indexed citations
9.
Luo, Zhaohui, et al.. (2023). Reconstruction of missing flow field from imperfect turbulent flows by machine learning. Physics of Fluids. 35(8). 14 indexed citations
10.
Chen, Meng, et al.. (2023). Super-resolution reconstruction framework of wind turbine wake: Design and application. Ocean Engineering. 288. 116099–116099. 13 indexed citations
11.
Luo, Zhaohui, et al.. (2023). A deep learning framework for reconstructing experimental missing flow field of hydrofoil. Ocean Engineering. 293. 116605–116605. 15 indexed citations
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Wang, Longyan, et al.. (2022). Comparative study of decentralized instantaneous and wind-interval-based controls for in-line two scale wind turbines. Renewable Energy. 189. 1218–1233. 5 indexed citations
14.
Wang, Longyan, et al.. (2022). Effectiveness of data-driven wind turbine wake models developed by machine/deep learning with spatial-segmentation technique. Sustainable Energy Technologies and Assessments. 53. 102499–102499. 13 indexed citations
15.
Wang, Longyan, et al.. (2019). Optimizing wind farm layout by addressing energy-variance trade-off: A single-objective optimization approach. Energy. 189. 116149–116149. 17 indexed citations
16.
Lapum, Jennifer, et al.. (2018). Methods of Measurement. 3 indexed citations
17.
Wang, Longyan, et al.. (2018). Comparative study of discretization method and Monte Carlo method for wind farm layout optimization under Weibull distribution. Journal of Wind Engineering and Industrial Aerodynamics. 180. 148–155. 26 indexed citations
18.
Wang, Longyan, Andy Tan, Michael E. Cholette, & Yuantong Gu. (2016). Comparison of the effectiveness of analytical wake models for wind farm with constant and variable hub heights. Energy Conversion and Management. 124. 189–202. 61 indexed citations
19.
Wang, Longyan, Andy Tan, Michael E. Cholette, & Yuantong Gu. (2016). Optimization of wind farm layout with complex land divisions. Renewable Energy. 105. 30–40. 26 indexed citations
20.
Wang, Longyan, et al.. (2014). Different approaches of applying single-objective binary genetic algorithm on the wind farm design. QUT ePrints (Queensland University of Technology). 3 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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