Kangmin Chon

4.1k total citations · 1 hit paper
117 papers, 3.3k citations indexed

About

Kangmin Chon is a scholar working on Water Science and Technology, Industrial and Manufacturing Engineering and Biomedical Engineering. According to data from OpenAlex, Kangmin Chon has authored 117 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Water Science and Technology, 37 papers in Industrial and Manufacturing Engineering and 36 papers in Biomedical Engineering. Recurrent topics in Kangmin Chon's work include Membrane Separation Technologies (40 papers), Adsorption and biosorption for pollutant removal (29 papers) and Membrane-based Ion Separation Techniques (23 papers). Kangmin Chon is often cited by papers focused on Membrane Separation Technologies (40 papers), Adsorption and biosorption for pollutant removal (29 papers) and Membrane-based Ion Separation Techniques (23 papers). Kangmin Chon collaborates with scholars based in South Korea, China and United States. Kangmin Chon's co-authors include Jaeweon Cho, Yong-Gu Lee, Jaegwan Shin, Ho Kyong Shon, Yongeun Park, Kyung Hwa Cho, Hojung Rho, Sang-Won Kim, Jinwoo Kwak and Sungjun Bae and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and The Science of The Total Environment.

In The Last Decade

Kangmin Chon

112 papers receiving 3.3k citations

Hit Papers

Machine-learning-based prediction and optimization of eme... 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kangmin Chon South Korea 33 1.9k 944 816 647 416 117 3.3k
Jinwoo Cho South Korea 31 1.9k 1.0× 891 0.9× 612 0.8× 940 1.5× 250 0.6× 71 3.2k
Jean‐François Blais Canada 31 1.3k 0.7× 770 0.8× 776 1.0× 742 1.1× 374 0.9× 130 3.2k
Veeriah Jegatheesan Australia 33 1.9k 1.0× 1.1k 1.2× 917 1.1× 643 1.0× 438 1.1× 148 3.6k
Phaik Eong Poh Malaysia 28 1.5k 0.7× 969 1.0× 655 0.8× 479 0.7× 333 0.8× 66 3.6k
Hui Gong China 27 1.1k 0.6× 715 0.8× 669 0.8× 798 1.2× 350 0.8× 105 3.2k
Luca Di Palma Italy 37 1.7k 0.9× 1.3k 1.3× 492 0.6× 735 1.1× 605 1.5× 157 3.9k
Alireza Pendashteh Iran 23 1.8k 0.9× 778 0.8× 476 0.6× 463 0.7× 657 1.6× 50 3.7k
Xun‐an Ning China 35 1.1k 0.5× 1.2k 1.2× 462 0.6× 605 0.9× 408 1.0× 82 3.2k
Seockheon Lee South Korea 35 2.7k 1.4× 1.2k 1.3× 457 0.6× 741 1.1× 519 1.2× 90 3.9k
Simos Malamis Greece 30 1.8k 0.9× 697 0.7× 971 1.2× 1.1k 1.7× 200 0.5× 92 3.3k

Countries citing papers authored by Kangmin Chon

Since Specialization
Citations

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

Fields of papers citing papers by Kangmin Chon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kangmin Chon

This figure shows the co-authorship network connecting the top 25 collaborators of Kangmin Chon. A scholar is included among the top collaborators of Kangmin Chon 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 Kangmin Chon. Kangmin Chon 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
2.
Shin, Jaegwan, Changgil Son, Hojung Rho, et al.. (2025). Interplay and selectivity of selected pharmaceuticals and organic contaminants adsorption onto magnetic biochar: Mechanistic insights. Journal of Environmental Management. 396. 128196–128196.
3.
Shin, Jaegwan, et al.. (2024). Mechanistic insights into selenite and selenate immobilization using brucite-rich magnesium precipitate derived from seawater electrochlorination facility. Journal of environmental chemical engineering. 12(5). 114081–114081. 5 indexed citations
4.
Han, Jie, et al.. (2024). Adsorption of charged synthetic organic dyes by pine nut husk biochars modified with hydroxyapatite: Adsorption mechanisms and reusability. Desalination and Water Treatment. 321. 100970–100970. 7 indexed citations
5.
Saifuddin, Md, et al.. (2024). Recent advances in the application of magnetic materials for the management of perfluoroalkyl substances in aqueous phases. Chemosphere. 352. 141522–141522. 7 indexed citations
6.
Rho, Hojung, Jaeweon Cho, & Kangmin Chon. (2024). Rejection behaviors of N-nitrosamines by initially fouled ultrafiltration and reverse osmosis membranes for municipal wastewater reclamation: A pilot study. Desalination. 586. 117877–117877. 3 indexed citations
8.
Shin, Jaegwan, Jinwoo Kwak, Sangwon Kim, et al.. (2023). Enhanced selectivity and recovery of phosphate and nitrate ions onto coffee ground waste biochars via co-precipitation of Mg/Al layered double hydroxides: A potential slow-release fertilizer. Environmental Research. 231(Pt 3). 116266–116266. 27 indexed citations
9.
Jaffari, Zeeshan Haider, Jaegwan Shin, Jinwoo Kwak, et al.. (2023). Machine-learning-based prediction and optimization of emerging contaminants' adsorption capacity on biochar materials. Chemical Engineering Journal. 466. 143073–143073. 127 indexed citations breakdown →
10.
Shin, Jaegwan, Jinwoo Kwak, Sang-Won Kim, et al.. (2022). Highly selective recovery of phosphate ions using a novel carbonaceous adsorbent synthesized via co-pyrolysis of spent coffee grounds and steel slags: A potential phosphatic fertilizer. Chemical Engineering Journal. 451. 138978–138978. 37 indexed citations
11.
Yang, Euntae, Kangmin Chon, Kyoung‐Yeol Kim, et al.. (2022). Pretreatments of lignocellulosic and algal biomasses for sustainable biohydrogen production: Recent progress, carbon neutrality, and circular economy. Bioresource Technology. 369. 128380–128380. 48 indexed citations
12.
Reddy, Police Anil Kumar, Thillai Govindaraja Senthamaraikannan, Dong‐Hee Lim, et al.. (2022). Unveiling the positive effect of mineral induced natural organic matter (NOM) on catalyst properties and catalytic dechlorination performance: An experiment and DFT study. Water Research. 222. 118871–118871. 18 indexed citations
13.
14.
Rho, Hojung, Pingfeng Yu, Chung-Seop Lee, et al.. (2022). Inhibition of biofouling on reverse osmosis membrane surfaces by germicidal ultraviolet light side-emitting optical fibers. Water Research. 224. 119094–119094. 32 indexed citations
15.
Kwak, Jinwoo, Sangho Lee, Jaegwan Shin, et al.. (2022). Synthesis and applications of bismuth-impregnated biochars originated from spent coffee grounds for efficient adsorption of radioactive iodine: A mechanism study. Environmental Pollution. 313. 120138–120138. 17 indexed citations
16.
18.
Lee, Yong-Gu, Jaegwan Shin, Jinwoo Kwak, et al.. (2021). Enhanced Adsorption Capacities of Fungicides Using Peanut Shell Biochar via Successive Chemical Modification with KMnO4 and KOH. Separations. 8(4). 52–52. 21 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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