Nakyung Yoon

446 total citations
15 papers, 353 citations indexed

About

Nakyung Yoon is a scholar working on Water Science and Technology, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Nakyung Yoon has authored 15 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Water Science and Technology, 12 papers in Biomedical Engineering and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Nakyung Yoon's work include Membrane Separation Technologies (12 papers), Membrane-based Ion Separation Techniques (11 papers) and Fuel Cells and Related Materials (3 papers). Nakyung Yoon is often cited by papers focused on Membrane Separation Technologies (12 papers), Membrane-based Ion Separation Techniques (11 papers) and Fuel Cells and Related Materials (3 papers). Nakyung Yoon collaborates with scholars based in South Korea and United States. Nakyung Yoon's co-authors include Kyung Hwa Cho, Moon Son, Kwanho Jeong, Sanghun Park, Sanghun Park, Ather Abbas, Jihye Kim, Jongkwan Park, Bruce E. Logan and Zahid Ullah and has published in prestigious journals such as The Science of The Total Environment, Water Research and Journal of Power Sources.

In The Last Decade

Nakyung Yoon

15 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nakyung Yoon South Korea	12	243	193	127	40	28	15	353
Yaoke Shi China	8	261 1.1×	133 0.7×	104 0.8×	26 0.7×	42 1.5×	19	406
Hyunje Oh South Korea	10	389 1.6×	218 1.1×	111 0.9×	26 0.7×	13 0.5×	25	478
Jasir Jawad Qatar	5	280 1.2×	125 0.6×	92 0.7×	33 0.8×	34 1.2×	10	436
Muhammad S. Osman South Africa	10	159 0.7×	137 0.7×	32 0.3×	21 0.5×	35 1.3×	10	355
Sahil Shah United States	8	209 0.9×	210 1.1×	92 0.7×	11 0.3×	33 1.2×	15	330
Kamal Kishore Khatri India	8	132 0.5×	114 0.6×	36 0.3×	62 1.6×	19 0.7×	18	417
Ushtar Arshad Malaysia	10	81 0.3×	62 0.3×	56 0.4×	19 0.5×	18 0.6×	21	300
V. Meenakshi India	5	138 0.6×	26 0.1×	42 0.3×	25 0.6×	17 0.6×	29	280
Alex R. Bartman United States	11	410 1.7×	271 1.4×	150 1.2×	9 0.2×	8 0.3×	14	493

Countries citing papers authored by Nakyung Yoon

Since Specialization

Citations

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

Fields of papers citing papers by Nakyung Yoon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nakyung Yoon

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

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

Ullah, Zahid, et al.. (2023). Comparison of tree-based model with deep learning model in predicting effluent pH and concentration by capacitive deionization. Desalination. 558. 116614–116614. 24 indexed citations

Park, Sanghun, et al.. (2023). Energy storage capability of seawater batteries for intermittent power generation systems: Conceptualization and modeling. Journal of Power Sources. 580. 233322–233322. 12 indexed citations

Hong, Seok Min, Ather Abbas, Soobin Kim, et al.. (2023). Autonomous calibration of EFDC for predicting chlorophyll-a using reinforcement learning and a real-time monitoring system. Environmental Modelling & Software. 168. 105805–105805. 23 indexed citations

Yoon, Nakyung, et al.. (2023). Explainable deep learning model for membrane capacitive deionization operated under fouling conditions. Desalination. 561. 116676–116676. 15 indexed citations

Yoon, Nakyung, Sanghun Park, Moon Son, & Kyung Hwa Cho. (2022). Automation of membrane capacitive deionization process using reinforcement learning. Water Research. 227. 119337–119337. 20 indexed citations

Park, Sanghun, Nakyung Yoon, Seungyong Lee, et al.. (2022). Deep reinforcement learning in an ultrafiltration system: Optimizing operating pressure and chemical cleaning conditions. Chemosphere. 308(Pt 2). 136364–136364. 11 indexed citations

Son, Moon, Nakyung Yoon, Sanghun Park, Ather Abbas, & Kyung Hwa Cho. (2022). An open-source deep learning model for predicting effluent concentration in capacitive deionization. The Science of The Total Environment. 856(Pt 2). 159158–159158. 25 indexed citations

Son, Moon, et al.. (2022). Seawater battery desalination with sodium-intercalation cathode for hypersaline water treatment. Desalination. 531. 115713–115713. 7 indexed citations

Yoon, Nakyung, et al.. (2022). Membrane capacitive deionization model including fouling indexes obtained via real-time fouling layer measurements. Desalination. 536. 115852–115852. 15 indexed citations

10.

Son, Moon, Kwanho Jeong, Nakyung Yoon, et al.. (2021). Pharmaceutical removal at low energy consumption using membrane capacitive deionization. Chemosphere. 276. 130133–130133. 11 indexed citations

11.

Jeong, Kwanho, Moon Son, Nakyung Yoon, et al.. (2021). Modeling and evaluating performance of full-scale reverse osmosis system in industrial water treatment plant. Desalination. 518. 115289–115289. 31 indexed citations

12.

Son, Moon, et al.. (2021). Deep learning for pH prediction in water desalination using membrane capacitive deionization. Desalination. 516. 115233–115233. 48 indexed citations

13.

Yoon, Nakyung, et al.. (2021). Dual-stage attention-based LSTM for simulating performance of brackish water treatment plant. Desalination. 512. 115107–115107. 43 indexed citations

14.

Yoon, Nakyung, Sanghun Park, Jongkwan Park, et al.. (2020). Influence of natural organic matter on membrane capacitive deionization performance. Chemosphere. 264(Pt 2). 128519–128519. 29 indexed citations

15.

Jeong, Kwanho, Nakyung Yoon, Sanghun Park, et al.. (2020). Optimization of a nanofiltration and membrane capacitive deionization (NF-MCDI) hybrid system: Experimental and modeling studies. Desalination. 493. 114658–114658. 39 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.

Explore authors with similar magnitude of impact