Jaegwan Shin

40 total papers · 1.2k total citations
35 papers, 999 citations indexed

About

Jaegwan Shin is a scholar working on Water Science and Technology, Industrial and Manufacturing Engineering and Materials Chemistry. According to data from OpenAlex, Jaegwan Shin has authored 35 papers receiving a total of 999 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Water Science and Technology, 12 papers in Industrial and Manufacturing Engineering and 11 papers in Materials Chemistry. Recurrent topics in Jaegwan Shin's work include Adsorption and biosorption for pollutant removal (18 papers), Membrane Separation Technologies (8 papers) and Phosphorus and nutrient management (7 papers). Jaegwan Shin is often cited by papers focused on Adsorption and biosorption for pollutant removal (18 papers), Membrane Separation Technologies (8 papers) and Phosphorus and nutrient management (7 papers). Jaegwan Shin collaborates with scholars based in South Korea, United States and China. Jaegwan Shin's co-authors include Kangmin Chon, Yong-Gu Lee, Sang-Won Kim, Jinwoo Kwak, Yongeun Park, Sungjun Bae, Changgil Son, Kyung Hwa Cho, Sang-Ho Lee and Zeeshan Haider Jaffari and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Water Research.

In The Last Decade

Jaegwan Shin

31 papers receiving 981 citations

Hit Papers

Machine-learning-based pr... 2023 2026 2024 2023 40 80 120

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jaegwan Shin 568 283 196 196 185 35 999
Wuhui Luo 488 0.9× 265 0.9× 189 1.0× 164 0.8× 177 1.0× 36 922
Hao Wang 587 1.0× 215 0.8× 230 1.2× 130 0.7× 221 1.2× 25 1.0k
Anyu Li 690 1.2× 372 1.3× 174 0.9× 280 1.4× 222 1.2× 30 1.1k
María Selene Berber-Mendoza 671 1.2× 230 0.8× 159 0.8× 135 0.7× 145 0.8× 24 946
Yankui Tang 578 1.0× 190 0.7× 193 1.0× 222 1.1× 292 1.6× 36 1.2k
Jiawen Wu 568 1.0× 217 0.8× 207 1.1× 197 1.0× 210 1.1× 34 1.2k
Norzita Ngadi 582 1.0× 229 0.8× 257 1.3× 246 1.3× 152 0.8× 29 1.2k
H. Debellefontaine 584 1.0× 209 0.7× 214 1.1× 349 1.8× 140 0.8× 28 926
Xiaolan Hu 582 1.0× 215 0.8× 269 1.4× 260 1.3× 173 0.9× 53 1.2k
Bogdana Koumanova 579 1.0× 232 0.8× 157 0.8× 173 0.9× 98 0.5× 25 979

Countries citing papers authored by Jaegwan Shin

Since Specialization
Citations

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

Fields of papers citing papers by Jaegwan Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaegwan Shin

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

All Works

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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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