Seong-Chun Jun

888 total citations · 1 hit paper
21 papers, 701 citations indexed

About

Seong-Chun Jun is a scholar working on Environmental Engineering, Ocean Engineering and Geochemistry and Petrology. According to data from OpenAlex, Seong-Chun Jun has authored 21 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Environmental Engineering, 4 papers in Ocean Engineering and 4 papers in Geochemistry and Petrology. Recurrent topics in Seong-Chun Jun's work include Groundwater flow and contamination studies (11 papers), Groundwater and Isotope Geochemistry (4 papers) and Electrokinetic Soil Remediation Techniques (3 papers). Seong-Chun Jun is often cited by papers focused on Groundwater flow and contamination studies (11 papers), Groundwater and Isotope Geochemistry (4 papers) and Electrokinetic Soil Remediation Techniques (3 papers). Seong-Chun Jun collaborates with scholars based in South Korea, Canada and Puerto Rico. Seong-Chun Jun's co-authors include Kang‐Kun Lee, Gwang‐Ok Bae, Heesung Yoon, Yunjung Hyun, Jeong‐Yong Cheon, Hoon Young Jeong, Minji Park, Cheolyong Kim, Inseong Hwang and Jun‐Young Ahn and has published in prestigious journals such as The Science of The Total Environment, Water Research and Journal of Hydrology.

In The Last Decade

Seong-Chun Jun

18 papers receiving 671 citations

Hit Papers

A comparative study of artificial neural networks and sup... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seong-Chun Jun South Korea 7 510 302 154 77 73 21 701
Seyed Babak Haji Seyed Asadollah Iran 13 519 1.0× 482 1.6× 197 1.3× 50 0.6× 136 1.9× 31 928
Ali El Bilali Morocco 15 498 1.0× 417 1.4× 193 1.3× 32 0.4× 98 1.3× 33 878
G. B. Sahoo United States 18 486 1.0× 750 2.5× 359 2.3× 93 1.2× 58 0.8× 34 1.3k
Mohammed Benaafi Saudi Arabia 18 267 0.5× 262 0.9× 82 0.5× 52 0.7× 54 0.7× 55 735
Ashkan Farokhnia Iran 13 574 1.1× 530 1.8× 381 2.5× 89 1.2× 106 1.5× 24 1.0k
John Ndiritu South Africa 11 169 0.3× 281 0.9× 171 1.1× 38 0.5× 81 1.1× 38 522
Gwang‐Ok Bae South Korea 9 546 1.1× 327 1.1× 147 1.0× 58 0.8× 103 1.4× 16 755
Elnaz Sharghi Iran 18 408 0.8× 333 1.1× 257 1.7× 82 1.1× 114 1.6× 29 760
Basant Yadav India 14 484 0.9× 389 1.3× 228 1.5× 83 1.1× 40 0.5× 43 778
Nur Shazwani Muhammad Malaysia 19 405 0.8× 415 1.4× 489 3.2× 76 1.0× 131 1.8× 64 1.1k

Countries citing papers authored by Seong-Chun Jun

Since Specialization
Citations

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

Fields of papers citing papers by Seong-Chun Jun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seong-Chun Jun. 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 Seong-Chun Jun. The network helps show where Seong-Chun Jun may publish in the future.

Co-authorship network of co-authors of Seong-Chun Jun

This figure shows the co-authorship network connecting the top 25 collaborators of Seong-Chun Jun. A scholar is included among the top collaborators of Seong-Chun Jun 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 Seong-Chun Jun. Seong-Chun Jun 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.
Lee, Kang‐Kun, et al.. (2023). A modified and rapid method for the single-well push-pull (SWPP) test using SF6, Kr, and uranine tracers. Water Research. 236. 119955–119955. 3 indexed citations
2.
Ahn, Jun‐Young, Cheolyong Kim, Seong-Chun Jun, & Inseong Hwang. (2021). Field-scale investigation of nanoscale zero-valent iron (NZVI) injection parameters for enhanced delivery of NZVI particles to groundwater. Water Research. 202. 117402–117402. 38 indexed citations
3.
Kim, Minji, Dong-Jin Kim, Seong-Chun Jun, & Jeonghoon Lee. (2021). A Study on Analysis of Freshwater-saltwater Interface in the Aquifer around Hwajinpo Lagoon on the Eastern Coast of Korea. Economic and Environmental Geology. 54(6). 699–707. 1 indexed citations
5.
Yun, Seong‐Taek, et al.. (2019). Changes in soil N2O and CH4 emissions and related microbial functional groups in an artificial CO2 gassing experiment. The Science of The Total Environment. 690. 40–49. 9 indexed citations
6.
Lee, Seong‐Sun, et al.. (2019). Controlled CO2 Injection into a Shallow Aquifer and Leakage Detection Monitoring by Two Different Leakage Events at the K-COSEM Site, Korea. 3 indexed citations
7.
Jeong, Hoon Young, Seong-Chun Jun, Jeong‐Yong Cheon, & Minji Park. (2018). A review on clogging mechanisms and managements in aquifer storage and recovery (ASR) applications. Geosciences Journal. 22(4). 667–679. 85 indexed citations
8.
Kim, Hyun, et al.. (2017). Spatio-Temporal Monitoring of Soil CO2 Fluxes and Concentrations after Artificial CO2 Release. Journal of Environmental Impact Assessment. 26(2). 93–104. 2 indexed citations
9.
Kaown, Dugin, et al.. (2016). Characterization of a site contaminated by chlorinated ethenes and ethanes using multi-analysis. Environmental Earth Sciences. 75(9). 8 indexed citations
10.
Lee, Jeong‐Hwan, et al.. (2016). Evaluation of Percolation Rate of Bedrock Aquifer in Coastal Area. Journal of the Nuclear Fuel Cycle and Waste Technology(JNFCWT). 14(1). 21–33. 1 indexed citations
11.
Ahn, Jun‐Young, et al.. (2014). Field Study on Application of Reactive Zone Technology Using Zero-Valent Iron Nanoparticles for Remediation of TCE-Contaminated Groundwater. Journal of Soil and Groundwater Environment. 19(6). 80–90. 1 indexed citations
12.
Lee, Jin‐Yong, et al.. (2013). Evaluation of Contaminant Concentrations in Wet and Dry Seasons during Pump-and-Treat Pilot Tests. Journal of Soil and Groundwater Environment. 18(6). 18–31. 3 indexed citations
13.
Jun, Seong-Chun, et al.. (2013). Tracing of residual multiple DNAPL sources in the subsurface using 222Rn as a natural tracer at an industrial complex in Wonju, Korea. Environmental Earth Sciences. 71(1). 407–417. 12 indexed citations
14.
Kim, Cheolyong, et al.. (2013). Characterization of the Transport of Zero-Valent Iron Nanoparticles in an Aquifer for Application of Reactive Zone Technology. Journal of Soil and Groundwater Environment. 18(3). 109–118. 2 indexed citations
15.
Park, Youngyun, et al.. (2013). A Review on Identification Methods for TCE Contamination Sources using Stable Isotope Compositions. Journal of Soil and Groundwater Environment. 18(3). 1–10. 2 indexed citations
16.
Jun, Seong-Chun, Gwang‐Ok Bae, & Kang‐Kun Lee. (2013). Factors causing dynamic variations in the saltwater–freshwater transition zone in a beach aquifer, Mangsang, South Korea. Hydrogeology Journal. 21(6). 1355–1371. 7 indexed citations
17.
Jun, Seong-Chun, et al.. (2011). High Ferrihydrite Turbidity in Groundwater of Samdong-Myeon (Ulsan) by Carbonate-Water Inflow of Deep Origin. Journal of the Mineralogical Society of Korea. 24(2). 91–99. 1 indexed citations
18.
Choi, Hyunmi, et al.. (2010). Estimation of optimal pumping rate, well efficiency and radius of influence using step-drawdown tests. The Journal of Engineering Geology. 20(2). 127–136. 2 indexed citations
19.
Lee, Jin‐Yong, et al.. (2010). Estimation of Hydraulic Parameters from Slug, Single Well Pumping and Step-drawdown Tests. The Journal of Engineering Geology. 20(2). 203–212. 3 indexed citations
20.
Yoon, Heesung, Seong-Chun Jun, Yunjung Hyun, Gwang‐Ok Bae, & Kang‐Kun Lee. (2010). A comparative study of artificial neural networks and support vector machines for predicting groundwater levels in a coastal aquifer. Journal of Hydrology. 396(1-2). 128–138. 514 indexed citations breakdown →

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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