Sun Woo Chang

1.4k total citations
51 papers, 1.0k citations indexed

About

Sun Woo Chang is a scholar working on Environmental Engineering, Water Science and Technology and Geochemistry and Petrology. According to data from OpenAlex, Sun Woo Chang has authored 51 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Environmental Engineering, 30 papers in Water Science and Technology and 21 papers in Geochemistry and Petrology. Recurrent topics in Sun Woo Chang's work include Hydrology and Watershed Management Studies (26 papers), Groundwater flow and contamination studies (22 papers) and Groundwater and Isotope Geochemistry (20 papers). Sun Woo Chang is often cited by papers focused on Hydrology and Watershed Management Studies (26 papers), Groundwater flow and contamination studies (22 papers) and Groundwater and Isotope Geochemistry (20 papers). Sun Woo Chang collaborates with scholars based in South Korea, United States and Ethiopia. Sun Woo Chang's co-authors include T. Prabhakar Clement, Il-Moon Chung, Min Gyu Kim, Kang‐Kun Lee, Matthew J. Simpson, Bisrat Ayalew Yifru, Il-Hwan Kim, Jeongwoo Lee, Hee Sun Moon and Kyoungphile Nam and has published in prestigious journals such as PLoS ONE, Scientific Reports and Water Resources Research.

In The Last Decade

Sun Woo Chang

48 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sun Woo Chang South Korea 17 608 434 418 279 116 51 1.0k
Molla Demlie South Africa 18 527 0.9× 405 0.9× 361 0.9× 182 0.7× 81 0.7× 40 918
Eduardo Emilio Kruse Argentina 23 519 0.9× 598 1.4× 371 0.9× 175 0.6× 117 1.0× 106 1.3k
Christian Moeck Switzerland 18 678 1.1× 531 1.2× 623 1.5× 255 0.9× 95 0.8× 34 1.2k
Marc Van Camp Belgium 24 743 1.2× 666 1.5× 539 1.3× 238 0.9× 180 1.6× 86 1.4k
Beatrice Maria Sole Giambastiani Italy 19 542 0.9× 490 1.1× 229 0.5× 147 0.5× 149 1.3× 43 1.1k
Gianluigi Busico Italy 21 926 1.5× 836 1.9× 587 1.4× 314 1.1× 110 0.9× 58 1.5k
Jingli Shao China 17 475 0.8× 434 1.0× 401 1.0× 162 0.6× 90 0.8× 50 1.0k
Tamiru Abiye South Africa 20 481 0.8× 462 1.1× 474 1.1× 199 0.7× 123 1.1× 74 1.2k
B.L. Morris United Kingdom 14 699 1.1× 557 1.3× 385 0.9× 154 0.6× 181 1.6× 39 1.2k
Pablo Jiménez‐Gavilán Spain 16 547 0.9× 554 1.3× 272 0.7× 180 0.6× 70 0.6× 45 1.1k

Countries citing papers authored by Sun Woo Chang

Since Specialization
Citations

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

Fields of papers citing papers by Sun Woo Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sun Woo Chang. 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 Sun Woo Chang. The network helps show where Sun Woo Chang may publish in the future.

Co-authorship network of co-authors of Sun Woo Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Sun Woo Chang. A scholar is included among the top collaborators of Sun Woo Chang 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 Sun Woo Chang. Sun Woo Chang 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, Il-Moon, et al.. (2026). Bayesian deep learning for probabilistic aquifer vulnerability and uncertainty prediction. Scientific Reports. 16(1). 1300–1300.
2.
Kim, Sungwon, Meysam Alizamir, Salim Heddam, et al.. (2025). Development of the machine learning and deep learning models with SHAP strategy for predicting groundwater levels in South Korea. Scientific Reports. 15(1). 35523–35523. 1 indexed citations
3.
Chung, Il-Moon, et al.. (2025). Coupled SWAT-MODFLOW model for assessing watershed responses to groundwater sustainability: A novel ensemble approach. Journal of Hydrology Regional Studies. 61. 102689–102689. 2 indexed citations
4.
Lee, Soo Hyoung, et al.. (2024). Impacts of pumping on the spatiotemporal dynamics of a fresh-saline water mixing zone in a coastal lagoon-aquifer system. Journal of Hydrology Regional Studies. 51. 101657–101657. 2 indexed citations
5.
Kim, Il-Hwan, et al.. (2024). Effects of a bypass-type multistage sand-filled dam on water supply in a drought-vulnerable area in Mullocheon catchment, South Korea. Journal of Hydrology Regional Studies. 56. 101997–101997. 1 indexed citations
6.
7.
Chang, Sun Woo, et al.. (2024). Assessment of Hydrological Responses to Land Use and Land Cover Changes in Forest-Dominated Watershed Using SWAT Model. Water. 16(4). 528–528. 9 indexed citations
8.
Yifru, Bisrat Ayalew, et al.. (2023). Assessment of Spatiotemporal Groundwater Recharge Distribution Using SWAT-MODFLOW Model and Transient Water Table Fluctuation Method. Water. 15(11). 2112–2112. 6 indexed citations
9.
10.
Chung, Il-Moon, Sun Woo Chang, Bisrat Ayalew Yifru, et al.. (2021). Challenges and Prospects of Advancing Groundwater Research in Ethiopian Aquifers: A Review. Sustainability. 13(20). 11500–11500. 33 indexed citations
11.
Yifru, Bisrat Ayalew, Min Gyu Kim, Sun Woo Chang, Jeongwoo Lee, & Il-Moon Chung. (2020). Assessment of the Effect of Sand Dam on Groundwater Level: A Case Study in Chuncheon, South Korea. The Journal of Engineering Geology. 30(2). 119–129. 4 indexed citations
12.
Moon, Hee Sun, et al.. (2020). Sensitivity Analysis of Hydrodynamic and Reaction Parameters in Gasoline Transport Conceptual Aquifer Model Based on Hydrogeological Characteristics of Korea. Seoul National University Open Repository (Seoul National University). 25(1). 37–52. 1 indexed citations
13.
Chang, Sun Woo, Il-Moon Chung, Min Gyu Kim, & Bisrat Ayalew Yifru. (2020). Vulnerability assessment considering impact of future groundwater exploitation on coastal groundwater resources in northeastern Jeju Island, South Korea. Environmental Earth Sciences. 79(22). 15 indexed citations
14.
15.
Yifru, Bisrat Ayalew, Min Gyu Kim, Sun Woo Chang, Jeongwoo Lee, & Il-Moon Chung. (2018). Numerical Modeling of the Effect of Sand Dam on Groundwater Flow. The Journal of Engineering Geology. 28(4). 529–540. 7 indexed citations
16.
Chang, Sun Woo, et al.. (2017). Understanding the exchange of groundwater and seawater fluxes across a saltwater wedge. AGUFM. 2017. 1 indexed citations
17.
Chung, Il-Moon, et al.. (2017). Long-term Prediction of Groundwater Level in Jeju Island Using Artificial Neural Network Model. Journal of the Korean Society of Civil Engineers. 37(6). 981–987. 1 indexed citations
18.
19.
Chang, Sun Woo & T. Prabhakar Clement. (2013). Laboratory and numerical investigation of transport processes occurring above and within a saltwater wedge. Journal of Contaminant Hydrology. 147. 14–24. 65 indexed citations
20.
Chang, Sun Woo. (2005). STUDY ON GEOLOGY DISASTER WEATHER FORECAST AND FOREWARNING TECHNIQUE IN LONGNAN AREA. 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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2026