Countries citing papers authored by Jae-Yeol Cheong
Since
Specialization
Citations
This map shows the geographic impact of Jae-Yeol Cheong'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 Jae-Yeol Cheong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae-Yeol Cheong more than expected).
This network shows the impact of papers produced by Jae-Yeol Cheong. 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 Jae-Yeol Cheong. The network helps show where Jae-Yeol Cheong may publish in the future.
Co-authorship network of co-authors of Jae-Yeol Cheong
This figure shows the co-authorship network connecting the top 25 collaborators of Jae-Yeol Cheong.
A scholar is included among the top collaborators of Jae-Yeol Cheong 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 Jae-Yeol Cheong. Jae-Yeol Cheong is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hamm, Se‐Yeong, et al.. (2010). Characteristics of Aquifer System and Change of Groundwater Level due to Earthquake in the Western Half of Jeju Island. Economic and Environmental Geology. 43(4). 359–369.4 indexed citations
11.
Lee, Jeong‐Hwan, Se‐Yeong Hamm, Jae-Yeol Cheong, et al.. (2010). Numerical simulation of the change in groundwater level due to construction of the Giheung Tunnel. The Journal of Engineering Geology. 20(4). 449–459.4 indexed citations
12.
Lee, Jeong‐Hwan, et al.. (2009). Estimation of Groundwater Flow Rate into Jikri Tunnel Using Groundwater Fluctuation Data and Modeling. 14(5). 29–40.5 indexed citations
13.
Lee, Jeong Hwan, et al.. (2009). Evaluation of Groundwater Quality Using Factor Aanlyses and Agrochemicals in an Agricultural Area. Economic and Environmental Geology. 42(3). 217–234.2 indexed citations
14.
Kim, Hyun Ji, et al.. (2009). Characteristics of Groundwater Contamination Caused by Seawater Intrusion and Agricultural Activity in Sacheon and Hadong Areas, Republic of Korea. Economic and Environmental Geology. 42(6). 575–589.7 indexed citations
15.
Kim, Namhoon, et al.. (2008). Estimation of Groundwater Storage Change and Its Relationship with Geology in Eonyang Area, Ulsan Megacity. The Journal of Engineering Geology. 18(3). 263–276.2 indexed citations
16.
Hamm, Se‐Yeong, et al.. (2006). Characteristics of Groundwater Quality in Sasang Industrial Area, Busan Metropolitan City. Economic and Environmental Geology. 39(6). 753–770.3 indexed citations
17.
Hamm, Se‐Yeong, et al.. (2005). Groundwater Flow Modeling in a Riverbank Filtration Area, Deasan-Myeon, Changwon City. Economic and Environmental Geology. 38(1). 67–78.3 indexed citations
18.
Cheong, Jae-Yeol, et al.. (2005). Hydrogeological Properties of Uunconsolidated Formations and Bedrocks in the Central Area of Busan Metropolitan City. The Journal of Engineering Geology. 15(4). 407–421.1 indexed citations
19.
Cheong, Jae-Yeol, et al.. (2004). A Study on Groundwater Flow Modeling in the Fluvial Aquifer Adjacent to the Nakdong River, Book-Myeon Area, Changwon City. Economic and Environmental Geology. 37(5). 499–508.2 indexed citations
20.
Cheong, Jae-Yeol, et al.. (2004). Assessing Groundwater Vulnerability Using DRASTIC Method and Groundwater Quality in Changwon City. Economic and Environmental Geology. 37(6). 631–645.2 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.