Moon Son

2.3k total citations
72 papers, 1.9k citations indexed

About

Moon Son is a scholar working on Water Science and Technology, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Moon Son has authored 72 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Water Science and Technology, 58 papers in Biomedical Engineering and 38 papers in Electrical and Electronic Engineering. Recurrent topics in Moon Son's work include Membrane Separation Technologies (56 papers), Membrane-based Ion Separation Techniques (48 papers) and Fuel Cells and Related Materials (19 papers). Moon Son is often cited by papers focused on Membrane Separation Technologies (56 papers), Membrane-based Ion Separation Techniques (48 papers) and Fuel Cells and Related Materials (19 papers). Moon Son collaborates with scholars based in South Korea, United States and Saudi Arabia. Moon Son's co-authors include Heechul Choi, Hosik Park, Kyung Hwa Cho, Bruce E. Logan, Hyeon-gyu Choi, Lei Liu, Nakyung Yoon, Numan Yanar, Kwanho Jeong and Wulin Yang and has published in prestigious journals such as Environmental Science & Technology, Energy & Environmental Science and The Science of The Total Environment.

In The Last Decade

Moon Son

72 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Moon Son South Korea 27 1.2k 1.1k 677 233 199 72 1.9k
Muhammad Qasim United Arab Emirates 15 1.5k 1.3× 1.2k 1.1× 708 1.0× 333 1.4× 269 1.4× 37 2.3k
David Hassell United Kingdom 15 933 0.8× 759 0.7× 544 0.8× 228 1.0× 169 0.8× 28 2.1k
Wenjuan Zhang China 20 473 0.4× 510 0.5× 855 1.3× 313 1.3× 325 1.6× 81 1.6k
Jihye Kim South Korea 19 782 0.7× 717 0.7× 287 0.4× 345 1.5× 125 0.6× 60 1.4k
Yusufu Abeid Chande Jande Tanzania 23 706 0.6× 932 0.9× 620 0.9× 165 0.7× 105 0.5× 88 1.6k
Ramato Ashu Tufa Italy 23 1.2k 1.0× 1.4k 1.3× 1.1k 1.6× 210 0.9× 153 0.8× 33 2.4k
Haleema Saleem Qatar 21 1.1k 0.9× 859 0.8× 317 0.5× 239 1.0× 436 2.2× 32 1.9k
Shaheen Fatima Anis United Arab Emirates 21 1.2k 1.0× 756 0.7× 451 0.7× 298 1.3× 210 1.1× 28 1.7k
Abbas Ghassemi United States 13 693 0.6× 763 0.7× 217 0.3× 226 1.0× 115 0.6× 31 1.4k
Luigi Gurreri Italy 24 1.5k 1.3× 1.8k 1.6× 1.1k 1.7× 235 1.0× 62 0.3× 49 2.2k

Countries citing papers authored by Moon Son

Since Specialization
Citations

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

Fields of papers citing papers by Moon Son

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moon Son

This figure shows the co-authorship network connecting the top 25 collaborators of Moon Son. A scholar is included among the top collaborators of Moon Son 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 Moon Son. Moon Son 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.
Kim, Kyoung‐Yeol, et al.. (2025). A novel electro-sorption and acidic capturing method for continuous volatile fatty acid recovery. Chemical Engineering Journal. 515. 163822–163822. 1 indexed citations
2.
Ullah, Zahid, et al.. (2025). Autonomous water quality management in an electrochemical desalination process. Water Research. 280. 123521–123521. 2 indexed citations
3.
Chae, Sung Ho, Seok Won Hong, Moon Son, & Kyung Hwa Cho. (2024). Determining water and solute permeability of reverse osmosis membrane using a data-driven machine learning pipeline. Journal of Water Process Engineering. 64. 105634–105634. 10 indexed citations
4.
Son, Moon, et al.. (2024). Multimodal deep learning models incorporating the adsorption characteristics of the adsorbent for estimating the permeate flux in dynamic membranes. Journal of Membrane Science. 709. 123105–123105. 10 indexed citations
5.
Ullah, Zahid, Moon Son, Yongtae Ahn, et al.. (2024). Artificial neural network modeling for the oxidation kinetics of divalent manganese ions during chlorination and the role of arsenite ions in the binary/ternary systems. Water Research. 259. 121876–121876. 1 indexed citations
6.
Son, Moon, et al.. (2024). Autonomous real-time control for membrane capacitive deionization. Water Research. 262. 122086–122086. 13 indexed citations
9.
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
10.
Kim, Sukyoung, et al.. (2023). Influence of organic matter on seawater battery desalination performance. Desalination. 568. 117024–117024. 5 indexed citations
11.
Kumar, Ramesh, Sankha Chakrabortty, Jayato Nayak, et al.. (2023). Sustainable recovery of high-valued resources from spent lithium-ion batteries: A review of the membrane-integrated hybrid approach. Chemical Engineering Journal. 470. 144169–144169. 70 indexed citations
12.
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
13.
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
14.
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
15.
Son, Moon, et al.. (2020). Improving the Thermodynamic Energy Efficiency of Battery Electrode Deionization Using Flow-Through Electrodes. Environmental Science & Technology. 54(6). 3628–3635. 45 indexed citations
16.
Yanar, Numan, Eunmok Yang, Hosik Park, Moon Son, & Heechul Choi. (2020). Boron Nitride Nanotube (BNNT) Membranes for Energy and Environmental Applications. Membranes. 10(12). 430–430. 32 indexed citations
17.
Shi, Le, Ruggero Rossi, Moon Son, et al.. (2020). Using reverse osmosis membranes to control ion transport during water electrolysis. Energy & Environmental Science. 13(9). 3138–3148. 76 indexed citations
18.
Son, Moon, et al.. (2020). Recovery of ammonium and phosphate using battery deionization in a background electrolyte. Environmental Science Water Research & Technology. 6(6). 1688–1696. 26 indexed citations
19.
Yang, Wulin, Moon Son, Boya Xiong, et al.. (2019). Effective Biofouling Control Using Periodic H2O2 Cleaning with CuO Modified and Polypropylene Spacers. ACS Sustainable Chemistry & Engineering. 7(10). 9582–9587. 19 indexed citations
20.
Yang, Wulin, Moon Son, Ruggero Rossi, Johannes S. Vrouwenvelder, & Bruce E. Logan. (2019). Adapting Aluminum-Doped Zinc Oxide for Electrically Conductive Membranes Fabricated by Atomic Layer Deposition. ACS Applied Materials & Interfaces. 12(1). 963–969. 13 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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