Seoktae Kang

7.7k total citations · 1 hit paper
130 papers, 6.1k citations indexed

About

Seoktae Kang is a scholar working on Water Science and Technology, Biomedical Engineering and Pollution. According to data from OpenAlex, Seoktae Kang has authored 130 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Water Science and Technology, 49 papers in Biomedical Engineering and 30 papers in Pollution. Recurrent topics in Seoktae Kang's work include Membrane Separation Technologies (60 papers), Membrane-based Ion Separation Techniques (26 papers) and Wastewater Treatment and Nitrogen Removal (22 papers). Seoktae Kang is often cited by papers focused on Membrane Separation Technologies (60 papers), Membrane-based Ion Separation Techniques (26 papers) and Wastewater Treatment and Nitrogen Removal (22 papers). Seoktae Kang collaborates with scholars based in South Korea, United States and Canada. Seoktae Kang's co-authors include Menachem Elimelech, Moshe Herzberg, Débora F. Rodrigues, Meagan S. Mauter, Hang‐Sik Shin, Ayşe Asatekin, Anne M. Mayes, Chad D. Vecitis, Katherine R. Zodrow and Heechul Choi and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Seoktae Kang

124 papers receiving 6.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Antibacterial Effects of Carbon Nanotubes: Size Does Matter!

2008 904 citations Seoktae Kang et al. profile →

Peers

Seoktae Kang

WST

POLLU

EEE

François Perreault United States

Andréia Fonseca de Faria Brazil

Yen‐Peng Ting Singapore

Bing Wu China

İsmail Koyuncu Türkiye

So-Ryong Chae United States

Kaisong Zhang China

Hongjun Lin China

E.C. Abdullah Malaysia

Ashok M. Raichur India

François Perreault United States

Seoktae Kang

4.0k ×1.3

2.8k ×1.1

WST

3.9k ×2.0

1.1k ×1.2

POLLU

793 ×1.1

EEE

Citations per year, relative to Seoktae Kang Seoktae Kang (= 1×) peers François Perreault

Countries citing papers authored by Seoktae Kang

Since Specialization

Citations

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

Fields of papers citing papers by Seoktae Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seoktae Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Seoktae Kang. A scholar is included among the top collaborators of Seoktae Kang 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 Seoktae Kang. Seoktae Kang 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:

20 of 20 papers shown

Jeong, Namjo, et al.. (2025). Enhanced hydrogen production in zero-gap bipolar membrane microbial electrolysis with binderless cathodes in real wastewater. Chemical Engineering Journal. 509. 161416–161416. 3 indexed citations

Kim, Keon‐Han, Thi Nhung Tran, Nicholas H. Rees, et al.. (2025). Regenerable Water Remediation Platform for Ultrafast Capture and Mineralization of Per‐ and Polyfluoroalkyl Substances. Advanced Materials. 38(1). e09842–e09842.

Kang, Seoktae, et al.. (2025). Comparative evaluation of PVC and PVDF pipe leaching in ultrapure water (UPW) using batch and loop pilot systems. KSCE Journal of Civil Engineering. 30(2). 100366–100366. 1 indexed citations

Lee, Younghun, et al.. (2025). Long-term enhancement of biogas production rate in anaerobic digestion of food waste using conductive carbon nanotubes media (CCM) at different organic loading rates. Bioresource Technology. 441. 133538–133538.

Kang, Seoktae, et al.. (2025). Fundamental study on the dose-effect relationship of urease inhibitors for ammonia reduction and methane recovery in simulated swine urine. Journal of environmental chemical engineering. 13(5). 117745–117745.

Kim, Jiwoong, et al.. (2024). Deep learning-based coagulant dosage prediction for extreme events leveraging large-scale data. Journal of Water Process Engineering. 66. 105934–105934. 4 indexed citations

Song, Young‐Chae, et al.. (2024). High-calorific biohydrogen production under high pressure: Ca2+ addition, theoretical prediction, and continuous operation. Chemical Engineering Journal. 493. 152538–152538. 2 indexed citations

Jang, Duksoo, et al.. (2024). Occurrence and Treatment of DEHP in Water Treatment Plants: Case study in South Korea. ACS ES&T Engineering. 4(3). 580–590. 4 indexed citations

Lee, Jiseon, et al.. (2024). Combined impacts of aluminum and silica ions on RO membrane fouling in full-scale ultrapure water production facilities. Desalination. 577. 117380–117380. 11 indexed citations

10.

Park, Mi‐Hyun, et al.. (2023). Optimizing coagulant dosage using deep learning models with large-scale data. Chemosphere. 350. 140989–140989. 14 indexed citations

11.

Mostafa, Alsayed, et al.. (2023). Upflow anaerobic sludge blanket reactor operation under high pressure for energy-rich biogas production. Bioresource Technology. 376. 128897–128897. 9 indexed citations

12.

Kim, Jiwoong, et al.. (2023). Comparing artificial and deep neural network models for prediction of coagulant amount and settled water turbidity: Lessons learned from big data in water treatment operations. Journal of Water Process Engineering. 54. 103949–103949. 17 indexed citations

13.

Kim, Jiwoong, et al.. (2023). Coagulant dosage determination using deep learning-based graph attention multivariate time series forecasting model. Water Research. 232. 119665–119665. 41 indexed citations

14.

Kim, Ga-Yeong, et al.. (2022). Catalytic ozonation with vanadium oxide-doped TiO2 nanoparticles for the removal of di-2-ethylhexyl phthalate. Chemosphere. 306. 135646–135646. 10 indexed citations

15.

Lee, Mi-Young, et al.. (2022). Selective removal of Na+ by NaTi2(PO4)3-MWCNT composite hollow-fiber membrane electrode in capacitive deionization. npj Clean Water. 5(1). 15 indexed citations

16.

Kang, Seoktae, et al.. (2022). Comparison of Relationship between Solubilization and Methane Productivity on Anaerobic Digestion of Pre-treated Waste Activated Sludge. SHILAP Revista de lepidopterología. 44(2). 33–40. 2 indexed citations

17.

Yanar, Numan, Parashuram Kallem, Moon Son, et al.. (2020). A New era of water treatment technologies: 3D printing for membranes. Journal of Industrial and Engineering Chemistry. 91. 1–14. 83 indexed citations

18.

Yun, Yeo‐Myeong, et al.. (2018). Increased biodegradability of low-grade coal wastewater in anaerobic membrane bioreactor by adding yeast wastes. Journal of Environmental Management. 234. 36–43. 12 indexed citations

19.

Choi, Hyeon-gyu, et al.. (2015). Alginate fouling reduction of functionalized carbon nanotube blended cellulose acetate membrane in forward osmosis. Chemosphere. 136. 204–210. 64 indexed citations

20.

Kim, Dong‐Hoon, et al.. (2013). Continuous cultivation of photosynthetic bacteria for fatty acids production. Bioresource Technology. 148. 277–282. 26 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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