Daehyeon Han

728 total citations
19 papers, 522 citations indexed

About

Daehyeon Han is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Daehyeon Han has authored 19 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Atmospheric Science, 10 papers in Global and Planetary Change and 8 papers in Oceanography. Recurrent topics in Daehyeon Han's work include Meteorological Phenomena and Simulations (8 papers), Oceanographic and Atmospheric Processes (7 papers) and Climate variability and models (6 papers). Daehyeon Han is often cited by papers focused on Meteorological Phenomena and Simulations (8 papers), Oceanographic and Atmospheric Processes (7 papers) and Climate variability and models (6 papers). Daehyeon Han collaborates with scholars based in South Korea, United States and United Kingdom. Daehyeon Han's co-authors include Jungho Im, Cheolhee Yoo, Benjamin Bechtel, Sanggyun Lee, Young Jun Kim, Hyun‐Cheol Kim, Su Jeong Lee, Yeonjin Lee, Myoung‐Hwan Ahn and Hyangsun Han and has published in prestigious journals such as Remote Sensing of Environment, Remote Sensing and ISPRS Journal of Photogrammetry and Remote Sensing.

In The Last Decade

Daehyeon Han

17 papers receiving 509 citations

Peers

Daehyeon Han
Xingwen Lin China
Pingjie Fu China
Medhavy Thankappan Australia
Gordon Staples Canada
Cankut Örmeci Türkiye
Xin Pan China
Myoung‐Hwan Ahn South Korea
Lingfei Shi China
Frank-Michael Göttsche Germany
Zijin Yuan China
Xingwen Lin China
Daehyeon Han
Citations per year, relative to Daehyeon Han Daehyeon Han (= 1×) peers Xingwen Lin

Countries citing papers authored by Daehyeon Han

Since Specialization
Citations

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

Fields of papers citing papers by Daehyeon Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daehyeon Han

This figure shows the co-authorship network connecting the top 25 collaborators of Daehyeon Han. A scholar is included among the top collaborators of Daehyeon Han 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 Daehyeon Han. Daehyeon Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
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Han, Daehyeon, et al.. (2025). Expanding high-resolution sea surface salinity estimation from coastal seas to open oceans through the synergistic use of multi-source data with machine learning. International Journal of Applied Earth Observation and Geoinformation. 137. 104427–104427. 1 indexed citations
3.
Im, Jungho, et al.. (2025). CARE-SST: context-aware reconstruction diffusion model for sea surface temperature. ISPRS Journal of Photogrammetry and Remote Sensing. 220. 454–472.
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Kim, Young Jun, Hyun‐Cheol Kim, Daehyeon Han, Julienne Strœve, & Jungho Im. (2024). Long-term prediction of Arctic sea ice concentrations using deep learning: Effects of surface temperature, radiation, and wind conditions. Remote Sensing of Environment. 318. 114568–114568. 5 indexed citations
6.
Jang, Eunna, et al.. (2024). Deep learning-based gap filling for near real-time seamless daily global sea surface salinity using satellite observations. International Journal of Applied Earth Observation and Geoinformation. 132. 104029–104029. 3 indexed citations
7.
Han, Daehyeon, et al.. (2023). Precipitation nowcasting using ground radar data and simpler yet better video prediction deep learning. GIScience & Remote Sensing. 60(1). 18 indexed citations
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Han, Daehyeon, et al.. (2023). Key factors for quantitative precipitation nowcasting using ground weather radar data based on deep learning. Geoscientific model development. 16(20). 5895–5914. 6 indexed citations
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Kim, Young Jun, et al.. (2023). Remote sensing of sea surface salinity: challenges and research directions. GIScience & Remote Sensing. 60(1). 26 indexed citations
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Im, Jungho, et al.. (2020). Short-Term Forecasting of Satellite-Based Drought Indices Using Their Temporal Patterns and Numerical Model Output. Remote Sensing. 12(21). 3499–3499. 27 indexed citations
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Kim, Young Jun, Hyun‐Cheol Kim, Daehyeon Han, Sanggyun Lee, & Jungho Im. (2020). Prediction of monthly Arctic sea ice concentrations using satellite and reanalysis data based on convolutional neural networks. ˜The œcryosphere. 14(3). 1083–1104. 73 indexed citations
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Lee, Jung­hee, Daehyeon Han, Minso Shin, et al.. (2020). Different Spectral Domain Transformation for Land Cover Classification Using Convolutional Neural Networks with Multi-Temporal Satellite Imagery. Remote Sensing. 12(7). 1097–1097. 15 indexed citations
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Yoo, Cheolhee, et al.. (2020). Improving Local Climate Zone Classification Using Incomplete Building Data and Sentinel 2 Images Based on Convolutional Neural Networks. Remote Sensing. 12(21). 3552–3552. 39 indexed citations
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Yoo, Cheolhee, Daehyeon Han, Jungho Im, & Benjamin Bechtel. (2019). Comparison between convolutional neural networks and random forest for local climate zone classification in mega urban areas using Landsat images. ISPRS Journal of Photogrammetry and Remote Sensing. 157. 155–170. 168 indexed citations
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Lee, Yeonjin, Daehyeon Han, Myoung‐Hwan Ahn, Jungho Im, & Su Jeong Lee. (2019). Retrieval of Total Precipitable Water from Himawari-8 AHI Data: A Comparison of Random Forest, Extreme Gradient Boosting, and Deep Neural Network. Remote Sensing. 11(15). 1741–1741. 58 indexed citations
18.
Han, Daehyeon, et al.. (2018). The Estimation of Arctic Air Temperature in Summer Based on Machine Learning Approaches Using IABP Buoy and AMSR2 Satellite Data. National Remote Sensing Bulletin. 34(6). 1261–1272. 1 indexed citations
19.
Kim, Miae, Jung‐Hee Lee, Daehyeon Han, et al.. (2018). Convolutional Neural Network-Based Land Cover Classification Using 2-D Spectral Reflectance Curve Graphs With Multitemporal Satellite Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(12). 4604–4617. 26 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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