Hakjin Lee

775 total citations
51 papers, 562 citations indexed

About

Hakjin Lee is a scholar working on Aerospace Engineering, Computational Mechanics and Environmental Engineering. According to data from OpenAlex, Hakjin Lee has authored 51 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Aerospace Engineering, 22 papers in Computational Mechanics and 7 papers in Environmental Engineering. Recurrent topics in Hakjin Lee's work include Aerodynamics and Fluid Dynamics Research (17 papers), Aerodynamics and Acoustics in Jet Flows (13 papers) and Fluid Dynamics and Turbulent Flows (12 papers). Hakjin Lee is often cited by papers focused on Aerodynamics and Fluid Dynamics Research (17 papers), Aerodynamics and Acoustics in Jet Flows (13 papers) and Fluid Dynamics and Turbulent Flows (12 papers). Hakjin Lee collaborates with scholars based in South Korea, United States and Singapore. Hakjin Lee's co-authors include Duck‐Joo Lee, R.S. Myong, Seongim Choi, Yong-Jin Yoon, Tae Sung Hwang, Minjun Park, Eunseok Lee, Young‐Woo Nam, Jin‐Hwe Kweon and Dong Hyeon Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable Energy and Surface Science.

In The Last Decade

Hakjin Lee

40 papers receiving 530 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hakjin Lee South Korea 11 397 231 105 100 58 51 562
Lei‐Yong Jiang Canada 13 234 0.6× 470 2.0× 100 1.0× 38 0.4× 65 1.1× 48 633
Dániel Feszty Canada 14 569 1.4× 444 1.9× 170 1.6× 25 0.3× 34 0.6× 58 739
Alex Zanotti Italy 18 617 1.6× 535 2.3× 105 1.0× 29 0.3× 25 0.4× 81 765
Julien Weiss Germany 15 433 1.1× 650 2.8× 127 1.2× 140 1.4× 104 1.8× 112 834
Akiyoshi IIDA Japan 12 388 1.0× 325 1.4× 174 1.7× 23 0.2× 66 1.1× 95 555
Guohua Xu China 14 426 1.1× 399 1.7× 22 0.2× 26 0.3× 73 1.3× 77 580
Davide Gatti Germany 16 242 0.6× 460 2.0× 113 1.1× 62 0.6× 108 1.9× 56 676
Jörg Schlüter Singapore 19 677 1.7× 897 3.9× 204 1.9× 59 0.6× 66 1.1× 76 1.2k
J. Kostas Australia 12 341 0.9× 486 2.1× 87 0.8× 118 1.2× 107 1.8× 16 836
Ewald Krämer Germany 20 905 2.3× 740 3.2× 455 4.3× 45 0.5× 85 1.5× 90 1.1k

Countries citing papers authored by Hakjin Lee

Since Specialization
Citations

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

Fields of papers citing papers by Hakjin Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hakjin Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Hakjin Lee. A scholar is included among the top collaborators of Hakjin Lee 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 Hakjin Lee. Hakjin Lee 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.
Kim, Hye-Jin, et al.. (2025). Data-Driven Full-Field Prediction of Rotorcraft Fuselage Using Measurable Acceleration Response. AIAA Journal. 63(4). 1490–1501.
2.
Kang, Shin Hyeok, et al.. (2025). Rotor-Fuselage-Intake Aerodynamics and Icing Using Vortex and Eulerian–Lagrangian Computational Fluid Dynamics Methods. AIAA Journal. 63(3). 909–930. 3 indexed citations
3.
4.
5.
Lee, Hakjin, et al.. (2024). Aeroacoustic investigation of side-by-side urban air mobility aircraft in full configuration with ground effect. Physics of Fluids. 36(8). 9 indexed citations
6.
Kim, Hye-Jin, et al.. (2024). Development of a Reduced Order Model using a Deep Learning-based Manifold-Augmented Approach. Journal of the Computational Structural Engineering Institute of Korea. 37(5). 337–344. 1 indexed citations
7.
Song, Hua, et al.. (2024). NUMERICAL INVESTIGATION OF AERODYNAMIC INTERACTION OF WINGTIP-MOUNTED TRACTOR PROPELLER WITH FIXED WING. Journal of computational fluids engineering. 29(2). 47–61. 1 indexed citations
8.
Park, Minjun & Hakjin Lee. (2023). Acoustic Analogy with High-Order Time Derivatives for Far-Field Acoustic Predictions. Acoustical Physics. 69(6). 844–852. 1 indexed citations
9.
Lee, Hakjin, et al.. (2022). Review of vortex methods for rotor aerodynamics and wake dynamics. SHILAP Revista de lepidopterología. 4(1). 28 indexed citations
10.
Lee, Hyeokjin, et al.. (2022). Computational Simulation of Coaxial eVTOL Aircraft in Ground Effect. Journal of the Korean Society for Aeronautical & Space Sciences. 50(9). 599–608. 2 indexed citations
11.
Lee, Hakjin, et al.. (2021). An Empirical Study on the Impact of Permission Smell in Android Applications. Journal of the Korea Society of Computer and Information. 26(6). 89–96. 1 indexed citations
12.
Lee, Hakjin & Duck‐Joo Lee. (2019). Noise Prediction of Multi-rotor Unmanned Aerial Vehicle Considering Wake Interaction Effect. 1–9. 1 indexed citations
13.
Lee, Hakjin, et al.. (2019). Prediction of Aerodynamic Noise Radiated from a Small Multicopter Unmanned Aerial Vehicle using Acoustic Analogy. Transactions of the Korean Society for Noise and Vibration Engineering. 29(4). 518–526. 4 indexed citations
14.
Yoon, Yong-Jin, Tae Sung Hwang, & Hakjin Lee. (2018). Prediction of radiographic abnormalities by the use of bag-of-features and convolutional neural networks. The Veterinary Journal. 237. 43–48. 23 indexed citations
15.
Lee, Hakjin & Duck‐Joo Lee. (2018). Numerical investigation of the aerodynamics and wake structures of horizontal axis wind turbines by using nonlinear vortex lattice method. Renewable Energy. 132. 1121–1133. 43 indexed citations
16.
Lee, Hakjin, Young Min Jo, & Duck‐Joo Lee. (2017). Development of Nonlinear Vortex Lattice Method and Its Application to Aerodynamic Analysis of Wind turbine. 2 indexed citations
17.
Lee, Hakjin, et al.. (2016). Surrogate model based design optimization of multiple wing sails considering flow interaction effect. Ocean Engineering. 121. 422–436. 42 indexed citations
18.
Jo, Young Min, et al.. (2013). Aerodynamic Design Optimization of Wing-sails. 4 indexed citations
19.
Pi, Ung Hwan, et al.. (2005). Current flow through different phases of dodecanethiol self-assembled monolayer. Surface Science. 583(1). 88–93. 9 indexed citations
20.
Lee, Hakjin, et al.. (1988). Recurrent cutaneous Langerhans cell histiocytosis in infancy. British Journal of Dermatology. 119(2). 259–265. 11 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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