Uran Chung

926 total citations
40 papers, 727 citations indexed

About

Uran Chung is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Atmospheric Science. According to data from OpenAlex, Uran Chung has authored 40 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Plant Science, 13 papers in Ecology, Evolution, Behavior and Systematics and 9 papers in Atmospheric Science. Recurrent topics in Uran Chung's work include Plant Physiology and Cultivation Studies (15 papers), Horticultural and Viticultural Research (15 papers) and Ecology and Conservation Studies (7 papers). Uran Chung is often cited by papers focused on Plant Physiology and Cultivation Studies (15 papers), Horticultural and Viticultural Research (15 papers) and Ecology and Conservation Studies (7 papers). Uran Chung collaborates with scholars based in South Korea, United States and Mexico. Uran Chung's co-authors include Jin I. Yun, Kai Sonder, Bekele Shiferaw, Sika Gbegbelegbe, Matthew Reynolds, Senthold Asseng, Davide Cammarano, Soo‐Hyung Kim, Kindie Tesfaye and Bruno Basso and has published in prestigious journals such as PLoS ONE, Global Change Biology and Climatic Change.

In The Last Decade

Uran Chung

39 papers receiving 644 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Uran Chung South Korea 14 334 258 203 155 150 40 727
Jin I. Yun South Korea 11 222 0.7× 212 0.8× 150 0.7× 107 0.7× 126 0.8× 44 520
Zalika Črepinšek Slovenia 14 232 0.7× 285 1.1× 144 0.7× 167 1.1× 67 0.4× 42 678
Lučka Kajfež-Bogataj Slovenia 15 274 0.8× 396 1.5× 190 0.9× 222 1.4× 69 0.5× 57 810
Christian Pagé France 16 193 0.6× 418 1.6× 115 0.6× 252 1.6× 67 0.4× 28 767
Yasushi Ishigooka Japan 18 340 1.0× 360 1.4× 355 1.7× 144 0.9× 89 0.6× 49 836
A.D. Hartkamp Mexico 9 157 0.5× 240 0.9× 136 0.7× 122 0.8× 106 0.7× 11 593
Junfang Zhao China 16 173 0.5× 345 1.3× 133 0.7× 67 0.4× 111 0.7× 51 704
Christoph Menz Germany 15 417 1.2× 424 1.6× 111 0.5× 237 1.5× 70 0.5× 38 1.0k
Antonio Bombelli Italy 12 199 0.6× 432 1.7× 106 0.5× 66 0.4× 117 0.8× 22 749
Yuji Masutomi Japan 15 283 0.8× 272 1.1× 221 1.1× 153 1.0× 38 0.3× 36 641

Countries citing papers authored by Uran Chung

Since Specialization
Citations

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

Fields of papers citing papers by Uran Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uran Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Uran Chung. A scholar is included among the top collaborators of Uran Chung 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 Uran Chung. Uran Chung 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.
Chung, Uran, Jinyoung Rhee, Miae Kim, & Soo‐Jin Sohn. (2024). Advancing sub-seasonal to seasonal multi-model ensemble precipitation prediction in east asia: Deep learning-based post-processing for improved accuracy. Heliyon. 10(16). e35933–e35933. 4 indexed citations
2.
3.
Kim, Kwang‐Hyung, et al.. (2016). Preliminary Result of Uncertainty on Variation of Flowering Date of Kiwifruit: Case Study of Kiwifruit Growing Area of Jeonlanam-do. Korean Journal of Agricultural and Forest Meteorology. 18(1). 42–54. 6 indexed citations
4.
Chung, Uran, Sika Gbegbelegbe, Bekele Shiferaw, et al.. (2014). Modeling the effect of a heat wave on maize production in the USA and its implications on food security in the developing world. Weather and Climate Extremes. 5-6. 67–77. 49 indexed citations
5.
Chung, Uran, et al.. (2011). Predicting the Timing of Cherry Blossoms in Washington, DC and Mid-Atlantic States in Response to Climate Change. PLoS ONE. 6(11). e27439–e27439. 50 indexed citations
6.
Choi, Mi-Hee, et al.. (2010). Performance of Angstrom-Prescott Coefficients under Different Time Scales in Estimating Daily Solar Radiation in South Korea. Korean Journal of Agricultural and Forest Meteorology. 12(4). 232–237. 4 indexed citations
7.
Chung, Uran, et al.. (2009). Extrapolation of Daily Maximum Temperature in a Mountainous Terrain. Asia-Pacific Journal of Atmospheric Sciences. 45(4). 473–482. 7 indexed citations
8.
Kim, Jin‐Hee, et al.. (2009). Quantification of Temperature Effects on Flowering Date Determination in Niitaka Pear. Korean Journal of Agricultural and Forest Meteorology. 11(2). 61–71. 11 indexed citations
9.
Chung, Uran, et al.. (2009). The Suitable Region and Site for 'Fuji' Apple Under the Projected Climate in South Korea. Korean Journal of Agricultural and Forest Meteorology. 11(4). 162–173. 27 indexed citations
10.
Chung, Uran, et al.. (2009). The PRISM-based Rainfall Mapping at an Enhanced Grid Cell Resolution in Complex Terrain. Korean Journal of Agricultural and Forest Meteorology. 11(2). 72–78. 6 indexed citations
11.
12.
Chung, Uran, Kyu-Jong Lee, & Byun‐Woo Lee. (2007). Preliminary Report of Observed Urban - Rural Gradient of Carbon Dioxide Concentration across Seoul, Suwon, and Icheon in South Korea. Korean Journal of Agricultural and Forest Meteorology. 9(4). 268–276. 8 indexed citations
13.
Chung, Uran, et al.. (2006). Spring Phonology of a Grapevine Cultivar under the Changing Climate in Korea during 1921-2000. Korean Journal of Agricultural and Forest Meteorology. 8(2). 116–124. 3 indexed citations
14.
Chung, Uran, Kyung-Sook Cho, & Byun‐Woo Lee. (2006). Evaluation of Site-specific Potential for Rice Production in Korea under the Changing Climate. Korean Journal of Agricultural and Forest Meteorology. 8(4). 229–241. 7 indexed citations
15.
Kwon, Eun‐Young, et al.. (2006). A Thermal Time-Driven Dormancy Index as a Complementary Criterion for Grape Vine Freeze Risk Evaluation. Korean Journal of Agricultural and Forest Meteorology. 8(1). 1–9. 7 indexed citations
16.
Kwon, Eun‐Young, et al.. (2005). Predicting Cherry Flowering Date Using a Plant Phonology Model. Korean Journal of Agricultural and Forest Meteorology. 7(2). 148–155. 20 indexed citations
17.
Kim, Jihun, et al.. (2004). Using Spatial Data and Land Surface Modeling to Monitor Evapotranspiration across Geographic Areas in South Korea. Korean Journal of Agricultural and Forest Meteorology. 6(3). 149–163. 1 indexed citations
18.
Chung, Uran, et al.. (2004). The Observed Change in Interannual Variations of January Minimum Temperature between 1951-1980 and 1971-2000 in South Korea. Korean Journal of Agricultural and Forest Meteorology. 6(4). 235–241. 3 indexed citations
19.
Chung, Uran & Jin I. Yun. (2004). Solar irradiance-corrected spatial interpolation of hourly temperature in complex terrain. Agricultural and Forest Meteorology. 126(1-2). 129–139. 31 indexed citations
20.
Chung, Uran, et al.. (2003). Urban-Effect Correction to Improve Accuracy of Spatially Interpolated Temperature Estimates in Korea. Journal of Applied Meteorology. 42(12). 1711–1719. 31 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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