Il‐Ju Moon

2.6k total citations
81 papers, 1.8k citations indexed

About

Il‐Ju Moon is a scholar working on Atmospheric Science, Oceanography and Global and Planetary Change. According to data from OpenAlex, Il‐Ju Moon has authored 81 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Atmospheric Science, 62 papers in Oceanography and 47 papers in Global and Planetary Change. Recurrent topics in Il‐Ju Moon's work include Tropical and Extratropical Cyclones Research (68 papers), Ocean Waves and Remote Sensing (56 papers) and Climate variability and models (45 papers). Il‐Ju Moon is often cited by papers focused on Tropical and Extratropical Cyclones Research (68 papers), Ocean Waves and Remote Sensing (56 papers) and Climate variability and models (45 papers). Il‐Ju Moon collaborates with scholars based in South Korea, United States and China. Il‐Ju Moon's co-authors include Isaac Ginis, Tetsu Hara, Hendrik L. Tolman, Biju Thomas, Johnny C. L. Chan, Sung‐Hun Kim, C. Wayne Wright, Edward J. Walsh, Ki‐Seon Choi and Kohei Yoshida and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

Il‐Ju Moon

74 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Il‐Ju Moon South Korea	23	1.5k	1.3k	707	455	89	81	1.8k
Yalin Fan United States	16	893 0.6×	1.2k 0.9×	391 0.6×	513 1.1×	109 1.2×	35	1.4k
Arne Arns Germany	15	912 0.6×	741 0.6×	718 1.0×	544 1.2×	210 2.4×	38	1.4k
Tomoya Shimura Japan	18	667 0.4×	561 0.4×	400 0.6×	353 0.8×	109 1.2×	81	1.0k
Prasad K. Bhaskaran India	21	1.2k 0.8×	823 0.6×	667 0.9×	573 1.3×	208 2.3×	50	1.6k
Aron Roland Germany	20	1.0k 0.7×	1.2k 0.9×	285 0.4×	970 2.1×	317 3.6×	47	1.7k
Edward Myers United States	16	533 0.4×	505 0.4×	321 0.5×	330 0.7×	137 1.5×	65	937
Leonard J. Pietrafesa United States	25	1.0k 0.7×	1.4k 1.0×	679 1.0×	501 1.1×	265 3.0×	77	1.8k
Srdjan Dobričić Italy	20	667 0.4×	1.0k 0.8×	768 1.1×	101 0.2×	119 1.3×	48	1.4k
G. L. Geernaert United States	17	945 0.6×	875 0.7×	280 0.4×	372 0.8×	100 1.1×	38	1.5k
Cheryl Ann Blain United States	12	668 0.4×	612 0.5×	219 0.3×	439 1.0×	170 1.9×	53	1.0k

Countries citing papers authored by Il‐Ju Moon

Since Specialization

Citations

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

Fields of papers citing papers by Il‐Ju Moon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Il‐Ju Moon. 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 Il‐Ju Moon. The network helps show where Il‐Ju Moon may publish in the future.

Co-authorship network of co-authors of Il‐Ju Moon

This figure shows the co-authorship network connecting the top 25 collaborators of Il‐Ju Moon. A scholar is included among the top collaborators of Il‐Ju Moon 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 Il‐Ju Moon. Il‐Ju Moon 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

Singh, Vineet Kumar, et al.. (2025). Mechanism driving stronger tropical cyclones in cooler autumn than the hottest summer. npj Climate and Atmospheric Science. 8(1).

Moon, Il‐Ju, et al.. (2024). Influence of spatial and seasonal asymmetries on long-range tropical cyclone prediction in the western North Pacific. npj Climate and Atmospheric Science. 7(1). 2 indexed citations

Im, Jungho, et al.. (2024). Bridging satellite missions: deep transfer learning for enhanced tropical cyclone intensity estimation. GIScience & Remote Sensing. 61(1). 4 indexed citations

Chang, Pil‐Hun, et al.. (2024). Impact of Data Assimilation on KMA's Global and Regional Ocean Wave Predictions. Journal of Coastal Research. 116(sp1).

Pun, Iam‐Fei, Huang‐Hsiung Hsu, Il‐Ju Moon, I.‐I. Lin, & Jin‐Yong Jeong. (2023). Marine heatwave as a supercharger for the strongest typhoon in the East China Sea. npj Climate and Atmospheric Science. 6(1). 22 indexed citations

Voermans, Joey, Fangli Qiao, Qingxiang Liu, et al.. (2023). Tropical Cyclone Modeling With the Inclusion of Wave‐Coupled Processes: Sea Spray and Wave Turbulence. Geophysical Research Letters. 50(24). 6 indexed citations

Voermans, Joey, et al.. (2023). The impact of spume droplets induced by the bag-breakup mechanism on tropical cyclone modeling. Frontiers in Marine Science. 10. 1 indexed citations

Yang, Se Hwan, et al.. (2022). Recent progress on the seasonal tropical cyclone predictions over the western North Pacific from 2014 to 2020. SHILAP Revista de lepidopterología. 11(1). 26–35. 5 indexed citations

Kim, Sung‐Hun, et al.. (2022). New parameterization of air-sea exchange coefficients and its impact on intensity prediction under major tropical cyclones. Frontiers in Marine Science. 9. 3 indexed citations

10.

Moon, Il‐Ju, et al.. (2022). Intense atmospheric frontogenesis by air–sea coupling processes during the passage of Typhoon Lingling captured at Ieodo Ocean Research Station. Scientific Reports. 12(1). 15513–15513. 4 indexed citations

11.

Liu, Qingxiang, Alexander V. Babanin, W. Erick Rogers, et al.. (2021). Global Wave Hindcasts Using the Observation‐Based Source Terms: Description and Validation. Journal of Advances in Modeling Earth Systems. 13(8). 49 indexed citations

12.

Kim, Sung‐Hun, Il‐Ju Moon, & Pao‐Shin Chu. (2020). An increase in global trends of tropical cyclone translation speed since 1982 and its physical causes. Environmental Research Letters. 15(9). 94084–94084. 23 indexed citations

13.

Kim, Jong‐Suk, et al.. (2020). Statistical Prediction of Typhoon-Induced Rainfall over China Using Historical Rainfall, Tracks, and Intensity of Typhoon in the Western North Pacific. Remote Sensing. 12(24). 4133–4133. 19 indexed citations

14.

Yamaguchi, Munehiko, Johnny C. L. Chan, Il‐Ju Moon, Kohei Yoshida, & Ryo Mizuta. (2020). Global warming changes tropical cyclone translation speed. RePEc: Research Papers in Economics. 1 indexed citations

15.

Yamaguchi, Munehiko, Johnny C. L. Chan, Il‐Ju Moon, Kohei Yoshida, & Ryo Mizuta. (2020). Global warming changes tropical cyclone translation speed. Nature Communications. 11(1). 47–47. 129 indexed citations

16.

Kim, Sung‐Hun, et al.. (2019). An Index to Better Estimate Tropical Cyclone Intensity Change in the Western North Pacific. Geophysical Research Letters. 46(15). 8960–8968. 9 indexed citations

17.

Jo, Young‐Heon, et al.. (2018). Physical forces determine the annual bloom intensity of the giant jellyfish Nemopilema nomurai off the coast of Korea. Regional Studies in Marine Science. 24. 55–65. 17 indexed citations

18.

Moon, Il‐Ju, et al.. (2010). Typhoon Researches Using the Ieodo Ocean Research Station: Part I. Importance and Present Status of Typhoon Observation. 20(3). 247–260. 7 indexed citations

19.

Moon, Il‐Ju, et al.. (2008). A Study on the Long-Term Variations of Annual Maximum Surge Heights at Sokcho and Mukho Harbors. Journal of Korean Society of Coastal and Ocean Engineers. 20(6). 564–574. 3 indexed citations

20.

Moon, Il‐Ju, et al.. (2003). Numerical Simulation of Sea Surface Directional Wave Spectra under Hurricane Wind Forcing. Journal of Physical Oceanography. 33(8). 1680–1706. 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.

Explore authors with similar magnitude of impact