Suhan Kim

3.2k total citations
91 papers, 2.6k citations indexed

About

Suhan Kim is a scholar working on Water Science and Technology, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Suhan Kim has authored 91 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Water Science and Technology, 38 papers in Biomedical Engineering and 33 papers in Electrical and Electronic Engineering. Recurrent topics in Suhan Kim's work include Membrane Separation Technologies (59 papers), Membrane-based Ion Separation Techniques (34 papers) and Fuel Cells and Related Materials (13 papers). Suhan Kim is often cited by papers focused on Membrane Separation Technologies (59 papers), Membrane-based Ion Separation Techniques (34 papers) and Fuel Cells and Related Materials (13 papers). Suhan Kim collaborates with scholars based in South Korea, United States and Australia. Suhan Kim's co-authors include Eric M.V. Hoek, Moon Jeong Park, Jaeweon Cho, Sung Yeon Kim, Sungyun Lee, Ho Kyong Shon, Xue Jin, Anna Jawor, Joon Young Choi and Yuefei Tao and has published in prestigious journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Suhan Kim

89 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suhan Kim South Korea 25 1.6k 1.4k 925 362 339 91 2.6k
Minghui Qiu China 36 2.0k 1.3× 1.4k 1.0× 984 1.1× 857 2.4× 414 1.2× 151 3.6k
Kah Peng Lee United Kingdom 7 1.6k 1.0× 1.4k 1.0× 584 0.6× 405 1.1× 255 0.8× 7 2.1k
José González-Garcı́a Spain 27 554 0.3× 672 0.5× 1.6k 1.7× 786 2.2× 667 2.0× 73 2.9k
Chen Chen China 29 824 0.5× 985 0.7× 1.3k 1.4× 1.4k 3.7× 181 0.5× 108 2.9k
Baoyu Cui China 28 386 0.2× 784 0.5× 1.5k 1.6× 695 1.9× 248 0.7× 88 2.4k
Kai Zhao China 24 432 0.3× 720 0.5× 954 1.0× 569 1.6× 598 1.8× 63 2.4k
Denis Bouyer France 26 916 0.6× 611 0.4× 431 0.5× 233 0.6× 77 0.2× 75 2.0k
Xin Cui China 29 573 0.4× 760 0.5× 237 0.3× 361 1.0× 212 0.6× 82 2.1k
Zhanjian Liu China 29 399 0.3× 973 0.7× 423 0.5× 884 2.4× 304 0.9× 80 2.6k
Amal Al Ghaferi United Arab Emirates 19 523 0.3× 746 0.5× 688 0.7× 348 1.0× 239 0.7× 73 1.6k

Countries citing papers authored by Suhan Kim

Since Specialization
Citations

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

Fields of papers citing papers by Suhan Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suhan Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Suhan Kim. A scholar is included among the top collaborators of Suhan 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 Suhan Kim. Suhan Kim 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.
Wang, Haolin, Suhan Kim, Jihun Lee, & Hyunseong Shin. (2024). Design of thermal conductivity of mercapto group-activated graphene/epoxy nanocomposites using the molecular dynamics simulation and Gaussian process regression-based Bayesian optimization. Surfaces and Interfaces. 56. 105571–105571. 1 indexed citations
3.
Hsiao, Yi‐Hsuan, et al.. (2023). Modular and Scalable Fabrication of Insect‐Scale Aerial Robots toward Demonstrating Swarm Flights. SHILAP Revista de lepidopterología. 6(2). 1 indexed citations
4.
Lee, Hyunwoo, et al.. (2023). High recovery reverse osmosis design to minimize wastewater of ultra-pure water production process. Journal of The Korean Society of Water and Wastewater. 37(3). 139–146.
5.
Kim, Jaeyoon, et al.. (2021). Predicting flux of forward osmosis membrane module using deep learning. Journal of The Korean Society of Water and Wastewater. 35(1). 93–100. 2 indexed citations
6.
Park, Sanghun, Suhan Kim, Jongkwan Park, & Kyung Hwa Cho. (2019). Real-time monitoring the spatial distribution of organic fouling using fluorescence imaging technique. Journal of Membrane Science. 597. 117778–117778. 14 indexed citations
7.
Kim, Noori, et al.. (2017). Study on the Necessity of Energy Recovery Device in Small Scale Reverse Osmosis Desalination Plant. Korean Journal of Chemical Engineering. 55(6). 762–766. 2 indexed citations
8.
Kim, Minsoo P. & Suhan Kim. (2017). Can Full-Scale Pressure Retarded Osmosis System Derive Energy from the Ocean?. 35–44. 1 indexed citations
9.
Kim, Minseok, et al.. (2016). Evaluation of energy consumption of gas hydrate and reverse osmosis hybrid system for seawater desalination. Journal of The Korean Society of Water and Wastewater. 30(4). 459–469. 1 indexed citations
10.
Kim, Minseok, et al.. (2016). Removal potential of dissolved gas in gas hydrate desalination process by reverse osmosis. Journal of The Korean Society of Water and Wastewater. 30(6). 635–643. 2 indexed citations
11.
Kim, Suhan, et al.. (2015). Design for seawater reverse osmosis plant using water blending in smart water grid. Journal of The Korean Society of Water and Wastewater. 29(1). 89–96. 2 indexed citations
12.
Shon, Ho Kyong, et al.. (2012). Preface : Conventional and advanced technologies in treating water, wastewater and groundwater. Desalination and Water Treatment. 47. 1–2. 1 indexed citations
13.
Kim, Seong-Su, et al.. (2012). The effect of fluctuation in flow rate on the performance of conventional and membrane water treatment for a smart water grid. Desalination and Water Treatment. 47(1-3). 17–23. 6 indexed citations
14.
Kim, Suhan, et al.. (2011). Verification of Silt Density Index (SDI) as a fouling index for reverse osmosis (RO) feed water. Journal of The Korean Society of Water and Wastewater. 25(4). 489–495. 1 indexed citations
15.
Kim, Suhan, et al.. (2010). Long Term Operation of Microfiltration as a Pretreatment for Seawater Reverse Osmosis Processes. Journal of The Korean Society of Water and Wastewater. 24(6). 735–741. 2 indexed citations
16.
Kim, Sung Yeon, Suhan Kim, & Moon Jeong Park. (2010). Enhanced proton transport in nanostructured polymer electrolyte/ionic liquid membranes under water-free conditions. Nature Communications. 1(1). 88–88. 163 indexed citations
17.
Kim, Suhan, Moon Jeong Park, Nitash P. Balsara, Gao Liu, & Andrew M. Minor. (2010). Minimization of focused ion beam damage in nanostructured polymer thin films. Ultramicroscopy. 111(3). 191–199. 82 indexed citations
18.
19.
Tatavarty, Rameshwar, Shashadhar Samal, Sungyun Lee, et al.. (2006). Determination of the Size of Water-Soluble Nanoparticles and Quantum Dots by Field-Flow Fractionation. Journal of Nanoscience and Nanotechnology. 6(8). 2461–2467. 39 indexed citations
20.
Kim, Suhan & Heekyung Park. (2005). Effective Diameter for Shear-Induced Diffusion for Characterizing Cake Formation in Crossflow Microfiltration at Polydisperse Conditions. Journal of Environmental Engineering. 131(6). 865–873. 20 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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