Sangil Kim

1.5k total citations
74 papers, 797 citations indexed

About

Sangil Kim is a scholar working on Global and Planetary Change, Atmospheric Science and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sangil Kim has authored 74 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Global and Planetary Change, 9 papers in Atmospheric Science and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sangil Kim's work include Climate variability and models (7 papers), Meteorological Phenomena and Simulations (5 papers) and Nonlinear Dynamics and Pattern Formation (4 papers). Sangil Kim is often cited by papers focused on Climate variability and models (7 papers), Meteorological Phenomena and Simulations (5 papers) and Nonlinear Dynamics and Pattern Formation (4 papers). Sangil Kim collaborates with scholars based in South Korea, United States and Pakistan. Sangil Kim's co-authors include Il Hyo Jung, Joon-Bum Jee, G.C. Kim, C.H. Shon, Michael G. Kong, Y.S. Kim, Kwang Su Kim, Malik Muhammad Naeem Mannan, Boo‐Keun Khim and Muhammad Ahmad Kamran and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Biomechanics.

In The Last Decade

Sangil Kim

65 papers receiving 775 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sangil Kim South Korea 17 193 151 121 96 69 74 797
Lin Luo China 20 111 0.6× 86 0.6× 93 0.8× 142 1.5× 242 3.5× 155 1.9k
Robert G. Aykroyd United Kingdom 20 227 1.2× 57 0.4× 93 0.8× 66 0.7× 85 1.2× 72 1.1k
Zixuan Yang China 21 72 0.4× 126 0.8× 41 0.3× 61 0.6× 142 2.1× 109 1.4k
Jinghua Zhang China 24 220 1.1× 56 0.4× 47 0.4× 213 2.2× 96 1.4× 82 1.9k
Panagiotis Hadjidoukas Greece 17 162 0.8× 81 0.5× 28 0.2× 158 1.6× 36 0.5× 52 923
Juan Lavista Ferres United States 18 105 0.5× 32 0.2× 45 0.4× 49 0.5× 51 0.7× 100 1.4k
Dongyou Zhang China 11 162 0.8× 34 0.2× 15 0.1× 69 0.7× 42 0.6× 34 605
Luiz Landau Brazil 15 32 0.2× 81 0.5× 65 0.5× 147 1.5× 71 1.0× 97 852
Majid Niazkar Iran 20 65 0.3× 89 0.6× 41 0.3× 307 3.2× 285 4.1× 67 1.2k
Masayuki Fujihara Japan 15 15 0.1× 62 0.4× 21 0.2× 147 1.5× 55 0.8× 94 635

Countries citing papers authored by Sangil Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sangil Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sangil Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Sangil Kim. A scholar is included among the top collaborators of Sangil Kim 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 Sangil Kim. Sangil Kim 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, Sangil, et al.. (2025). Unconventional tipping and wrinkled hysteresis loop in nonsmooth biophysical systems. Chaos Solitons & Fractals. 200. 117099–117099.
2.
Lee, Sieun, et al.. (2024). Mathematical modeling of age-specific intervention strategies for latent tuberculosis infection. Computers in Biology and Medicine. 184. 109377–109377. 2 indexed citations
3.
Usafzai, Waqar Khan, Emad H. Aly, & Sangil Kim. (2024). Exact analytical solutions for micropolar magnetohydrodynamic flow: Insights into velocity slip and heat transfer characteristics. Physics of Fluids. 36(3). 5 indexed citations
4.
5.
Ali, Muhammad Umair, Amad Zafar, Karam Dad Kallu, et al.. (2023). Correlation-Filter-Based Channel and Feature Selection Framework for Hybrid EEG-fNIRS BCI Applications. IEEE Journal of Biomedical and Health Informatics. 28(6). 3361–3370. 18 indexed citations
6.
Lee, Youjin, Sangil Kim, Young-Jin Kim, et al.. (2023). Distinguishing nontuberculous mycobacterial lung disease and Mycobacterium tuberculosis lung disease on X-ray images using deep transfer learning. BMC Infectious Diseases. 23(1). 32–32. 16 indexed citations
7.
Lee, Ji Woong, et al.. (2023). Visual field prediction using a deep bidirectional gated recurrent unit network model. Scientific Reports. 13(1). 11154–11154. 12 indexed citations
8.
Byun, Do‐Seong, et al.. (2023). Classification of monthly tidal envelopes in mixed tide regimes. Scientific Reports. 13(1). 4786–4786. 2 indexed citations
9.
Kamran, Muhammad Ahmad, et al.. (2022). Synchronization Analysis of Multiple FitzHugh-Nagumo Noisy and Nonnoisy Neurobiological Networks. Mathematical Problems in Engineering. 2022. 1–23.
10.
Kim, Sangil, et al.. (2022). The First Population Simulation for the Zalophus japonicus (Otariidae: Sea Lions) on Dokdo, Korea. Journal of Marine Science and Engineering. 10(2). 271–271. 2 indexed citations
11.
Kamran, Muhammad Ahmad, et al.. (2022). Lag Synchronization of Noisy and Nonnoisy Multiple Neurobiological Coupled FitzHugh–Nagumo Networks with and without Delayed Coupling. Computational Intelligence and Neuroscience. 2022. 1–23. 2 indexed citations
12.
Lee, Sieun, et al.. (2022). Early detection of norovirus outbreak using machine learning methods in South Korea. PLoS ONE. 17(11). e0277671–e0277671. 6 indexed citations
13.
Kamran, Muhammad Ahmad, et al.. (2020). Impact of Awareness to Control Malaria Disease: A Mathematical Modeling Approach. Complexity. 2020. 1–13. 16 indexed citations
14.
Kim, Sangil, et al.. (2019). The Effect of R&D and the Control–Ownership Wedge on Firm Value: Evidence from Korean Chaebol Firms. Sustainability. 11(10). 2986–2986. 4 indexed citations
15.
Kim, Sangil, et al.. (2017). Differentiated Incentives of Earnings Managements depending on the Types of CSR Activities. The Korean Academic Association of Business Administration. 30(4). 601–630. 1 indexed citations
16.
Kim, Sangil, et al.. (2017). Does R&D Expenditure with Heavy Related Party Transactions Harm Firm Value?. Sustainability. 9(7). 1216–1216. 10 indexed citations
17.
Kim, Kwang Su, Sangil Kim, & Il Hyo Jung. (2016). Dynamics of tumor virotherapy: A deterministic and stochastic model approach. Stochastic Analysis and Applications. 34(3). 483–495. 21 indexed citations
18.
Kim, Sangil, et al.. (2014). Development of a tangent linear model (version 1.0) for the High-Order Method Modeling Environment dynamical core. Geoscientific model development. 7(3). 1175–1182. 1 indexed citations
19.
Kim, Sangil, et al.. (2012). A Study on the Analyst Forecasts for Holding Companies. 54(2). 441–472.
20.
Kim, Sangil. (2005). Ensemble Filtering Methods for Nonlinear Dynamics. UA Campus Repository (The University of Arizona). 1 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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