Hwan‐Jin Song

1.0k total citations
43 papers, 713 citations indexed

About

Hwan‐Jin Song is a scholar working on Atmospheric Science, Global and Planetary Change and Aerospace Engineering. According to data from OpenAlex, Hwan‐Jin Song has authored 43 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Atmospheric Science, 33 papers in Global and Planetary Change and 4 papers in Aerospace Engineering. Recurrent topics in Hwan‐Jin Song's work include Meteorological Phenomena and Simulations (24 papers), Atmospheric aerosols and clouds (20 papers) and Climate variability and models (17 papers). Hwan‐Jin Song is often cited by papers focused on Meteorological Phenomena and Simulations (24 papers), Atmospheric aerosols and clouds (20 papers) and Climate variability and models (17 papers). Hwan‐Jin Song collaborates with scholars based in South Korea, India and Japan. Hwan‐Jin Song's co-authors include Byung‐Ju Sohn, Byung-Ju Sohn, Shantikumar S. Ningombam, Sang‐Wook Yeh, Soonyoung Roh, Johannes Schmetz, Jihoon Ryu, Chao Liu, Richard C. Larock and B. E. Baker and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Climate.

In The Last Decade

Hwan‐Jin Song

39 papers receiving 693 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hwan‐Jin Song South Korea 16 579 529 108 46 45 43 713
T. Svenøe Norway 13 463 0.8× 381 0.7× 45 0.4× 6 0.1× 25 0.6× 21 586
Andréa Pazmiño France 20 793 1.4× 669 1.3× 39 0.4× 3 0.1× 57 1.3× 70 924
Noriyuki Nishi Japan 17 761 1.3× 697 1.3× 83 0.8× 2 0.0× 26 0.6× 44 838
John D. Barrick United States 14 544 0.9× 437 0.8× 35 0.3× 2 0.0× 80 1.8× 21 621
Cristina Lupu United Kingdom 8 580 1.0× 509 1.0× 67 0.6× 58 1.3× 12 642
Longtao Wu United States 15 697 1.2× 626 1.2× 119 1.1× 39 0.9× 40 792
Masahiro Kazumori Japan 13 820 1.4× 668 1.3× 101 0.9× 84 1.9× 24 871
Ludovic Auger France 8 629 1.1× 585 1.1× 66 0.6× 72 1.6× 14 722
Hélène Brogniez France 16 652 1.1× 612 1.2× 62 0.6× 28 0.6× 40 701
A. Pier Siebesma Germany 3 610 1.1× 654 1.2× 74 0.7× 55 1.2× 3 732

Countries citing papers authored by Hwan‐Jin Song

Since Specialization
Citations

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

Fields of papers citing papers by Hwan‐Jin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hwan‐Jin Song. 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 Hwan‐Jin Song. The network helps show where Hwan‐Jin Song may publish in the future.

Co-authorship network of co-authors of Hwan‐Jin Song

This figure shows the co-authorship network connecting the top 25 collaborators of Hwan‐Jin Song. A scholar is included among the top collaborators of Hwan‐Jin Song 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 Hwan‐Jin Song. Hwan‐Jin Song 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.
Song, Hwan‐Jin, et al.. (2025). SFONet: A Novel Joint Spatial-Frequency Domain Algorithm for Multiclass Ship Oriented Detection in SAR Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 20262–20278.
2.
Sohn, Byung‐Ju, et al.. (2025). Satellite‐Estimated Microwave Emissivity and Emission Temperature Over the Arctic Sea Ice: ANN‐Based Algorithm. Journal of Geophysical Research Atmospheres. 130(9).
3.
Song, Hwan‐Jin, et al.. (2024). Critical Role of Area Weighting on Estimated Long-Term Global Warming and Heat Wave Trends. SHILAP Revista de lepidopterología. 4(4). 1618–1628. 2 indexed citations
4.
Song, Hwan‐Jin. (2023). Long-term variations of cloud top patterns associated with heavy rainfall over the Korean peninsula. Journal of Hydrology Regional Studies. 46. 101337–101337. 4 indexed citations
5.
Song, Hwan‐Jin, et al.. (2022). Effects of Cloud Microphysics on the Universal Performance of Neural Network Radiation Scheme. Geophysical Research Letters. 49(9). 5 indexed citations
6.
Song, Hwan‐Jin, et al.. (2022). Benefits of Stochastic Weight Averaging in Developing Neural Network Radiation Scheme for Numerical Weather Prediction. Journal of Advances in Modeling Earth Systems. 14(10). 5 indexed citations
7.
Song, Hwan‐Jin, et al.. (2022). Usefulness of Automatic Hyperparameter Optimization in Developing Radiation Emulator in a Numerical Weather Prediction Model. Atmosphere. 13(5). 721–721. 6 indexed citations
8.
Song, Hwan‐Jin, et al.. (2021). Compound Parameterization to Improve the Accuracy of Radiation Emulator in a Numerical Weather Prediction Model. Geophysical Research Letters. 48(20). 8 indexed citations
9.
Ryu, Jihoon, Hwan‐Jin Song, Byung‐Ju Sohn, & Chao Liu. (2021). Global Distribution of Three Types of Drop Size Distribution Representing Heavy Rainfall From GPM/DPR Measurements. Geophysical Research Letters. 48(3). 53 indexed citations
10.
Song, Hwan‐Jin & Soonyoung Roh. (2021). Improved Weather Forecasting Using Neural Network Emulation for Radiation Parameterization. Journal of Advances in Modeling Earth Systems. 13(10). 20 indexed citations
11.
Song, Hwan‐Jin, et al.. (2020). Difference Between Cloud Top Height and Storm Height for Heavy Rainfall Using TRMM Measurements. Journal of the Meteorological Society of Japan Ser II. 98(5). 901–914. 6 indexed citations
12.
Song, Hwan‐Jin, et al.. (2020). Possible Mechanisms of Long-Term Trend of June Rainfall over the Korean Peninsula. Asia-Pacific Journal of Atmospheric Sciences. 57(1). 51–62. 5 indexed citations
13.
Song, Hwan‐Jin, et al.. (2020). Climatology of Tropospheric Relative Humidity over the Korean Peninsula from Radiosonde and ECMWF Reanalysis. Atmosphere. 11(7). 704–704. 6 indexed citations
14.
Roh, Soonyoung & Hwan‐Jin Song. (2020). Evaluation of Neural Network Emulations for Radiation Parameterization in Cloud Resolving Model. Geophysical Research Letters. 47(21). 22 indexed citations
15.
Song, Hwan‐Jin, et al.. (2019). Evaluation of Rainfall Forecasts with Heavy Rain Types in the High-Resolution Unified Model over South Korea. Weather and Forecasting. 34(5). 1277–1293. 19 indexed citations
16.
Song, Hwan‐Jin & Byung‐Ju Sohn. (2019). Polarizing rain types linked to June drought in the Korean peninsula over last 20 years. International Journal of Climatology. 40(4). 2173–2182. 7 indexed citations
17.
Song, Hwan‐Jin, Byung‐Ju Sohn, Song‐You Hong, & Tempei Hashino. (2017). Idealized numerical experiments on the microphysical evolution of warm‐type heavy rainfall. Journal of Geophysical Research Atmospheres. 122(3). 1685–1699. 24 indexed citations
18.
Song, Hwan‐Jin, et al.. (2014). Improved Cloud Screening Method for the Analysis of Sky Radiometer Measurements and Application to Asian Dust Detection. Journal of the Meteorological Society of Japan Ser II. 92A(0). 167–183. 6 indexed citations
19.
20.
Song, Hwan‐Jin, et al.. (2011). An improved cloud screening algorithm for skyradiometer measurements and its application to Asian dust monitoring. 한국기상학회 학술대회 논문집. 136–137. 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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