Mun-Ju Shin

751 total citations
27 papers, 591 citations indexed

About

Mun-Ju Shin is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Mun-Ju Shin has authored 27 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Water Science and Technology, 18 papers in Global and Planetary Change and 5 papers in Environmental Engineering. Recurrent topics in Mun-Ju Shin's work include Hydrology and Watershed Management Studies (21 papers), Flood Risk Assessment and Management (16 papers) and Hydrology and Drought Analysis (6 papers). Mun-Ju Shin is often cited by papers focused on Hydrology and Watershed Management Studies (21 papers), Flood Risk Assessment and Management (16 papers) and Hydrology and Drought Analysis (6 papers). Mun-Ju Shin collaborates with scholars based in South Korea, Australia and Finland. Mun-Ju Shin's co-authors include Anthony J. Jakeman, Barry Croke, Joseph H. A. Guillaume, Ki Hoon Lee, Hyo Won Kwak, Haesung Yun, Chung-Soo Kim, Nam Won Kim, Chris Holland and Young Hwan Park and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Journal of Hydrology.

In The Last Decade

Mun-Ju Shin

26 papers receiving 575 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mun-Ju Shin South Korea 11 300 205 154 150 79 27 591
Yibo Wang China 12 120 0.4× 50 0.2× 54 0.4× 52 0.3× 35 0.4× 24 406
Xining Zhao China 13 78 0.3× 73 0.4× 38 0.2× 63 0.4× 41 0.5× 36 480
Hongbin Zhang China 15 381 1.3× 100 0.5× 62 0.4× 45 0.3× 180 2.3× 30 605
Lilin Zhang China 16 179 0.6× 298 1.5× 96 0.6× 12 0.1× 145 1.8× 37 646
Shuyuan Wang China 11 330 1.1× 66 0.3× 15 0.1× 58 0.4× 189 2.4× 35 555
Shaobo Zhang China 10 44 0.1× 153 0.7× 48 0.3× 46 0.3× 46 0.6× 28 433
Xingpeng Wang China 14 75 0.3× 61 0.3× 42 0.3× 14 0.1× 39 0.5× 53 466
Ahmed A. El-Shafei Egypt 13 138 0.5× 70 0.3× 53 0.3× 11 0.1× 71 0.9× 38 483
Chunguang He China 10 109 0.4× 47 0.2× 33 0.2× 80 0.5× 47 0.6× 18 367
Amit B. Mahindrakar India 9 87 0.3× 50 0.2× 34 0.2× 66 0.4× 37 0.5× 17 384

Countries citing papers authored by Mun-Ju Shin

Since Specialization
Citations

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

Fields of papers citing papers by Mun-Ju Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mun-Ju Shin. 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 Mun-Ju Shin. The network helps show where Mun-Ju Shin may publish in the future.

Co-authorship network of co-authors of Mun-Ju Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Mun-Ju Shin. A scholar is included among the top collaborators of Mun-Ju Shin 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 Mun-Ju Shin. Mun-Ju Shin 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.
2.
Shin, Mun-Ju & Chung-Soo Kim. (2021). Component Combination Test to Investigate Improvement of the IHACRES and GR4J Rainfall–Runoff Models. Water. 13(15). 2126–2126. 7 indexed citations
3.
Shin, Mun-Ju, et al.. (2021). Synthesis of gold nanoparticles using silk sericin as a green reducing and capping agent. European Polymer Journal. 164. 110960–110960. 24 indexed citations
4.
5.
Shin, Mun-Ju, et al.. (2020). A Study on a Simple Algorithm for Parallel Computation of a Grid-Based One-Dimensional Distributed Rainfall-Runoff Model. KSCE Journal of Civil Engineering. 24(2). 682–690. 2 indexed citations
6.
Kim, Jin‐Hyun, et al.. (2019). Enhancement of exfoliating efficacy of L-carnitine with ion-pair method monitored by nuclear magnetic resonance spectroscopy. Scientific Reports. 9(1). 13507–13507. 6 indexed citations
7.
Shin, Mun-Ju & Chung-Soo Kim. (2019). Analysis of the Effect of Uncertainty in Rainfall-Runoff Models on Simulation Results Using a Simple Uncertainty-Screening Method. Water. 11(7). 1361–1361. 6 indexed citations
8.
Shin, Mun-Ju, et al.. (2018). Combining an R-Based Evolutionary Algorithm and Hydrological Model for Effective Parameter Calibration. Water. 10(10). 1339–1339. 10 indexed citations
9.
Kim, Nam Won & Mun-Ju Shin. (2018). Estimation of Peak Flow in Ungauged Catchments Using the Relationship between Runoff Coefficient and Curve Number. Water. 10(11). 1669–1669. 17 indexed citations
10.
Shin, Mun-Ju, et al.. (2018). Preliminary Study of Computational Time Steps in a Physically Based Distributed Rainfall–Runoff Model. Water. 10(9). 1269–1269. 6 indexed citations
11.
Kwak, Hyo Won, Mun-Ju Shin, Haesung Yun, et al.. (2017). Fabrication of an ultrafine fish gelatin nanofibrous web from an aqueous solution by electrospinning. International Journal of Biological Macromolecules. 102. 1092–1103. 71 indexed citations
12.
Shin, Mun-Ju. (2017). Experimental study of rainfall spatial variability effect on peak flow variability using a data generation method. Journal of Korea Water Resources Association. 50(6). 2 indexed citations
13.
Shin, Mun-Ju, et al.. (2016). Application of flood-intensity-duration curve, rainfall-intensity-duration curve and time of concentration to analyze the pattern of storms and their corresponding floods for the natural flood events. EGU General Assembly Conference Abstracts. 1 indexed citations
14.
15.
Kwak, Hyo Won, Mun-Ju Shin, Haesung Yun, & Ki Hoon Lee. (2016). Preparation of Silk Sericin/Lignin Blend Beads for the Removal of Hexavalent Chromium Ions. International Journal of Molecular Sciences. 17(9). 1466–1466. 65 indexed citations
16.
Shin, Mun-Ju & Chung-Soo Kim. (2016). Assessment of the suitability of rainfall–runoff models by coupling performance statistics and sensitivity analysis. Hydrology research. 48(5). 1192–1213. 20 indexed citations
17.
Shin, Mun-Ju, Hyung‐Il Eum, Chung-Soo Kim, & Il‐Won Jung. (2016). Alteration of hydrologic indicators for Korean catchments under CMIP5 climate projections. Hydrological Processes. 30(24). 4517–4542. 11 indexed citations
18.
Shin, Mun-Ju, et al.. (2015). A Comparison Study of Runoff Projections for Yongdam Dam Watershed Using SWAT. Journal of Korea Water Resources Association. 48(6). 439–449. 5 indexed citations
19.
Shin, Mun-Ju, Joseph H. A. Guillaume, Barry Croke, & Anthony J. Jakeman. (2014). A review of foundational methods for checking the structural identifiability of models: Results for rainfall-runoff. Journal of Hydrology. 520. 1–16. 58 indexed citations
20.
Shin, Mun-Ju, Joseph H. A. Guillaume, Barry Croke, & Anthony J. Jakeman. (2013). Addressing ten questions about conceptual rainfall–runoff models with global sensitivity analyses in R. Journal of Hydrology. 503. 135–152. 147 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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