Joon Ha Kim

4.8k total citations
116 papers, 3.7k citations indexed

About

Joon Ha Kim is a scholar working on Water Science and Technology, Biomedical Engineering and Environmental Engineering. According to data from OpenAlex, Joon Ha Kim has authored 116 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Water Science and Technology, 35 papers in Biomedical Engineering and 29 papers in Environmental Engineering. Recurrent topics in Joon Ha Kim's work include Membrane Separation Technologies (47 papers), Membrane-based Ion Separation Techniques (34 papers) and Water Quality and Pollution Assessment (20 papers). Joon Ha Kim is often cited by papers focused on Membrane Separation Technologies (47 papers), Membrane-based Ion Separation Techniques (34 papers) and Water Quality and Pollution Assessment (20 papers). Joon Ha Kim collaborates with scholars based in South Korea, United States and Australia. Joon Ha Kim's co-authors include Kyung Hwa Cho, Sung Min, Yongeun Park, Minkyu Park, Seo Jin Ki, Jihye Kim, Joo‐Hyon Kang, Seung Won Lee, Sangho Lee and Young Mi Kim and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Applied and Environmental Microbiology.

In The Last Decade

Joon Ha Kim

113 papers receiving 3.6k citations

Peers

Joon Ha Kim

WST

EEE

Maria D. Kennedy Netherlands

Judith Dijk Netherlands

Tuqiao Zhang China

Jay N. Meegoda United States

Yingbo Dong China

Li Gao China

Muttucumaru Sivakumar Australia

TorOve Leiknes Saudi Arabia

Shengnan Li China

Joel J. Ducoste United States

Maria D. Kennedy Netherlands

Joon Ha Kim

3.7k ×1.3

WST

1.9k ×1.6

440 ×0.5

702 ×1.3

EEE

441 ×0.9

Citations per year, relative to Joon Ha Kim Joon Ha Kim (= 1×) peers Maria D. Kennedy

Countries citing papers authored by Joon Ha Kim

Since Specialization

Citations

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

Fields of papers citing papers by Joon Ha Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joon Ha Kim. 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 Joon Ha Kim. The network helps show where Joon Ha Kim may publish in the future.

Co-authorship network of co-authors of Joon Ha Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Joon Ha Kim. A scholar is included among the top collaborators of Joon Ha Kim 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 Joon Ha Kim. Joon Ha Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kim, Do Yeon, et al.. (2024). Cost-based optimization, feasibility study, and sensitivity analysis of forward osmosis/crystallization/reverse osmosis with high-temperature operation for high-salinity seawater desalination. Desalination. 580. 117531–117531. 12 indexed citations

Kim, Joon Ha, et al.. (2022). Prediction of permeate water flux in forward osmosis desalination system using tree-based ensemble machine learning models. Desalination and Water Treatment. 277. 30–39. 5 indexed citations

Cha, YoonKyung, Kyung Hwa Cho, Hyuk Lee, Taegu Kang, & Joon Ha Kim. (2017). The relative importance of water temperature and residence time in predicting cyanobacteria abundance in regulated rivers. Water Research. 124. 11–19. 121 indexed citations

Cho, Kyung Hwa, Yakov Pachepsky, Minjeong Kim, et al.. (2016). Modeling seasonal variability of fecal coliform in natural surface waters using the modified SWAT. Journal of Hydrology. 535. 377–385. 48 indexed citations

Guo, Hong, Kwanho Jeong, Jiyeon Lim, et al.. (2015). Prediction of effluent concentration in a wastewater treatment plant using machine learning models. Journal of Environmental Sciences. 32. 90–101. 225 indexed citations

Park, Yongeun, Kyung Hwa Cho, Jihwan Park, Sung Min, & Joon Ha Kim. (2014). Development of early-warning protocol for predicting chlorophyll-a concentration using machine learning models in freshwater and estuarine reservoirs, Korea. The Science of The Total Environment. 502. 31–41. 214 indexed citations

Kim, Jihye, Minkyu Park, Shane A. Snyder, & Joon Ha Kim. (2013). Reverse osmosis (RO) and pressure retarded osmosis (PRO) hybrid processes: Model-based scenario study. Desalination. 322. 121–130. 98 indexed citations

Park, Yongeun, Kyung Hwa Cho, Joo‐Hyon Kang, Seung Won Lee, & Joon Ha Kim. (2013). Developing a flow control strategy to reduce nutrient load in a reclaimed multi-reservoir system using a 2D hydrodynamic and water quality model. The Science of The Total Environment. 466-467. 871–880. 55 indexed citations

Cho, Kyung Hwa, Yakov Pachepsky, Joon Ha Kim, Jung-Woo Kim, & Mi‐Hyun Park. (2012). The modified SWAT model for predicting fecal coliforms in the Wachusett Reservoir Watershed, USA. Water Research. 46(15). 4750–4760. 75 indexed citations

10.

Kim, Jihye, et al.. (2012). Overview of pressure-retarded osmosis (PRO) process and hybrid application to sea water reverse osmosis process. Desalination and Water Treatment. 43(1-3). 193–200. 38 indexed citations

11.

Ki, Seo Jin, Joo‐Hyon Kang, Seung Won Lee, et al.. (2011). Advancing assessment and design of stormwater monitoring programs using a self-organizing map: Characterization of trace metal concentration profiles in stormwater runoff. Water Research. 45(14). 4183–4197. 40 indexed citations

12.

Cho, Kyung Hwa, Sung Min, Joo‐Hyon Kang, et al.. (2010). Meteorological effects on the levels of fecal indicator bacteria in an urban stream: A modeling approach. Water Research. 44(7). 2189–2202. 84 indexed citations

13.

Kang, Joo‐Hyon, Seung Won Lee, Kyung Hwa Cho, et al.. (2010). Linking land-use type and stream water quality using spatial data of fecal indicator bacteria and heavy metals in the Yeongsan river basin. Water Research. 44(14). 4143–4157. 154 indexed citations

14.

Cho, Kyung Hwa, Dukki Han, Yongeun Park, et al.. (2010). Evaluation of the relationship between two different methods for enumeration fecal indicator bacteria: Colony-forming unit and most probable number. Journal of Environmental Sciences. 22(6). 846–850. 28 indexed citations

15.

Cho, Kyung Hwa, Joo‐Hyon Kang, Seo Jin Ki, et al.. (2009). Determination of the optimal parameters in regression models for the prediction of chlorophyll-a: A case study of the Yeongsan Reservoir, Korea. The Science of The Total Environment. 407(8). 2536–2545. 42 indexed citations

16.

Kang, Joo‐Hyon, Young Geun Lee, Keun‐Young Lee, et al.. (2009). Factors affecting metal exchange between sediment and water in an estuarine reservoir: A spatial and seasonal observation. Journal of Environmental Monitoring. 11(11). 2058–2058. 9 indexed citations

17.

Ki, Seo Jin, et al.. (2007). Solar and Tidal Modulations of Fecal Indicator Bacteria in Coastal Waters at Huntington Beach, California. Environmental Management. 39(6). 867–875. 11 indexed citations

18.

Kim, Jungwoo, et al.. (2007). Mass Load-Based Pollution Management of the Han River and Its Tributaries, Korea. Environmental Management. 41(1). 12–19. 5 indexed citations

19.

Ensari, Semsi, Joon Ha Kim, & Henry C. Lim. (2003). Unstructured Model for l-Lysine Fermentation under Controlled Dissolved Oxygen. Biotechnology Progress. 19(4). 1387–1390. 4 indexed citations

20.

Grant, Stanley B., Joon Ha Kim, & Cris Poor. (2001). Kinetic Theories for the Coagulation and Sedimentation of Particles. Journal of Colloid and Interface Science. 238(2). 238–250. 24 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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