Inhong Song

1.1k total citations
69 papers, 838 citations indexed

About

Inhong Song is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Chemistry. According to data from OpenAlex, Inhong Song has authored 69 papers receiving a total of 838 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Water Science and Technology, 18 papers in Global and Planetary Change and 17 papers in Environmental Chemistry. Recurrent topics in Inhong Song's work include Hydrology and Watershed Management Studies (30 papers), Soil and Water Nutrient Dynamics (16 papers) and Flood Risk Assessment and Management (12 papers). Inhong Song is often cited by papers focused on Hydrology and Watershed Management Studies (30 papers), Soil and Water Nutrient Dynamics (16 papers) and Flood Risk Assessment and Management (12 papers). Inhong Song collaborates with scholars based in South Korea, United States and Bangladesh. Inhong Song's co-authors include Christopher Y. Choi, Charles P. Gerba, Scott Stine, Jung‐Hun Song, Moon‐Seong Kang, Gary R. Sands, Jihoon Park, Jeffrey S. Strock, Syewoon Hwang and Mohamed A. Youssef and has published in prestigious journals such as Scientific Reports, Sustainability and Remote Sensing.

In The Last Decade

Inhong Song

63 papers receiving 766 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Inhong Song South Korea 15 357 154 151 141 141 69 838
M. Sunohara Canada 12 405 1.1× 27 0.2× 139 0.9× 232 1.6× 125 0.9× 13 668
Michael Cahn United States 19 95 0.3× 140 0.9× 267 1.8× 63 0.4× 41 0.3× 57 1.0k
Éric van Bochove Canada 19 257 0.7× 25 0.2× 559 3.7× 455 3.2× 155 1.1× 49 1.3k
Baden Myers Australia 14 271 0.8× 40 0.3× 113 0.7× 20 0.1× 428 3.0× 55 865
Monika Walter New Zealand 21 144 0.4× 39 0.3× 176 1.2× 130 0.9× 75 0.5× 130 1.6k
Richard E. Zartman United States 18 100 0.3× 23 0.1× 259 1.7× 117 0.8× 198 1.4× 73 1.0k
R.J. Gordon Canada 10 128 0.4× 26 0.2× 66 0.4× 82 0.6× 96 0.7× 18 557
Joseph L. Taraba United States 16 405 1.1× 12 0.1× 174 1.2× 154 1.1× 198 1.4× 49 1.2k
James Byrne Canada 22 552 1.5× 32 0.2× 96 0.6× 108 0.8× 177 1.3× 72 1.4k
C. J. Hurst United States 12 139 0.4× 20 0.1× 101 0.7× 134 1.0× 115 0.8× 24 992

Countries citing papers authored by Inhong Song

Since Specialization
Citations

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

Fields of papers citing papers by Inhong Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inhong Song

This figure shows the co-authorship network connecting the top 25 collaborators of Inhong Song. A scholar is included among the top collaborators of Inhong Song 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 Inhong Song. Inhong Song 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
2.
Song, Inhong, et al.. (2023). Estimation of least ecological streamflow through long-term habitat evaluation using stream hydrodynamics and water quality factors. Hydrological Sciences Journal. 68(13). 1794–1808. 3 indexed citations
4.
Song, Inhong, et al.. (2021). Drone 영상을 이용한 논 필지 볏짚 환원-동계 재배 확인 및 CH4 배출량 산정. Journal of Korean Society of Rural Planning. 27(3). 21–33. 1 indexed citations
5.
Park, Jin Seok, et al.. (2020). Application of Drone Images to Investigate Biomass Management Practices and Estimation of CH4 Emissions from Paddy Fields. Journal of The Korean Society of Agricultural Engineers. 62(3). 39–49. 1 indexed citations
6.
Kamruzzaman, Mohammad, et al.. (2020). Evaluating the Performance of APEX-Paddy Model using the Monitoring Data of Paddy Fields in Iksan, South Korea. Journal of The Korean Society of Agricultural Engineers. 62(1). 1–16. 1 indexed citations
7.
Park, Jin Seok, et al.. (2020). Estimation of an Optimum Ecological Stream Flow in the Banbyeon Stream Using PHABSIM - Focused on Zacco platypus and Squalidus chankaensis tsuchigae -. Journal of The Korean Society of Agricultural Engineers. 62(6). 51–62. 3 indexed citations
8.
Park, Jinseok, et al.. (2020). Economic Analysis of Upland Crop Irrigation Between Individual and Collective Well Water Supply. Seoul National University Open Repository (Seoul National University). 23(3). 192–207. 1 indexed citations
9.
Song, Inhong, et al.. (2016). Effects of Controlled Drainage and Slow-release Fertilizer on Nutrient Pollutant Loads from Paddy Fields. Journal of The Korean Society of Agricultural Engineers. 58(1). 1–10. 3 indexed citations
10.
Hong, Eunmi, et al.. (2016). Impact of Different Fertilizer Types on Nutrient Pollutant Loads from Rice Paddy Fields in South Korea. Irrigation and Drainage. 65(S2). 105–111. 3 indexed citations
11.
Song, Jung‐Hun, et al.. (2016). Paddy Field Modelling System For Water Quality Management. Irrigation and Drainage. 65(S2). 131–142. 5 indexed citations
12.
Park, Jihoon, Moon‐Seong Kang, & Inhong Song. (2015). Assessment of Flood Vulnerability Based on CMIP5 Climate Projections in South Korea. JAWRA Journal of the American Water Resources Association. 51(3). 859–876. 11 indexed citations
13.
Kim, Minyoung, Inhong Song, Min-Kyeong Kim, et al.. (2015). Effect of Polyacrylamide Application on Water and Nutrient Movements in Soils. Journal of Agricultural Chemistry and Environment. 4(3). 76–81. 6 indexed citations
14.
Song, Inhong, et al.. (2014). Impact of tilling on biosolids drying and indicator microorganisms survival during solar drying process. Journal of Environmental Science and Health Part A. 49(14). 1701–1709. 2 indexed citations
15.
Song, Jung‐Hun, et al.. (2013). Analysis of Nutrient Load Balance in the Reservoir Irrigated Paddy Block. Journal of The Korean Society of Agricultural Engineers. 55(6). 167–175. 7 indexed citations
16.
Song, Inhong, et al.. (2013). Development of Relational Database Management System for Agricultural Non-point Source Pollution Control. Journal of Korean Society of Rural Planning. 19(4). 319–327. 2 indexed citations
17.
Stine, Scott, Inhong Song, Christopher Y. Choi, & Charles P. Gerba. (2011). Application of Pesticide Sprays to Fresh Produce: A Risk Assessment for Hepatitis A and Salmonella. Food and Environmental Virology. 3(2). 86–91. 13 indexed citations
18.
O’Shaughnessy, Susan A., Inhong Song, Janick F. Artiola, & Christopher Y. Choi. (2008). NITROGEN LOSS DURING SOLAR DRYING OF BIOSOLIDS. Environmental Technology. 29(1). 55–65. 15 indexed citations
19.
Song, Inhong, et al.. (2007). Water Use Efficiency of Subsurface Drip Irrigation and Furrow Irrigation. Journal of The Korean Society of Agricultural Engineers. 49(2). 3–13. 1 indexed citations
20.
Song, Inhong, Scott Stine, Christopher Y. Choi, & Charles P. Gerba. (2006). Comparison of Crop Contamination by Microorganisms during Subsurface Drip and Furrow Irrigation. Journal of Environmental Engineering. 132(10). 1243–1248. 57 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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