Jae-Kyu Yang

12 total papers · 469 total citations
11 papers, 376 citations indexed

About

Jae-Kyu Yang is a scholar working on Water Science and Technology, Industrial and Manufacturing Engineering and Biomedical Engineering. According to data from OpenAlex, Jae-Kyu Yang has authored 11 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Water Science and Technology, 3 papers in Industrial and Manufacturing Engineering and 3 papers in Biomedical Engineering. Recurrent topics in Jae-Kyu Yang's work include Advanced oxidation water treatment (5 papers), Radioactive element chemistry and processing (3 papers) and Environmental remediation with nanomaterials (3 papers). Jae-Kyu Yang is often cited by papers focused on Advanced oxidation water treatment (5 papers), Radioactive element chemistry and processing (3 papers) and Environmental remediation with nanomaterials (3 papers). Jae-Kyu Yang collaborates with scholars based in South Korea, India and United States. Jae-Kyu Yang's co-authors include Yoon-Young Chang, Eun Ha Choi, Masaharu Shiratani, Pankaj Attri, Lakshmi Prasanna Lingamdinne, Jiwan Singh, Janardhan Reddy Koduru, Seung-Mok Lee, Diwakar Tiwari and Sang‐Eun Oh and has published in prestigious journals such as Journal of Hazardous Materials, Journal of Cleaner Production and Chemical Engineering Journal.

In The Last Decade

Jae-Kyu Yang

11 papers receiving 359 citations

Author Peers

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

Author						Papers	Cites
Jae-Kyu Yang	188	101	99	77	51	11	376
Maria Aivalioti	218 1.2×	73 0.7×	100 1.0×	49 0.6×	79 1.5×	8	424
Yanghua Duan	196 1.0×	86 0.9×	113 1.1×	33 0.4×	59 1.2×	20	440
Ion Udrea	182 1.0×	92 0.9×	117 1.2×	56 0.7×	35 0.7×	17	369
M. K. N. Yenkie	261 1.4×	87 0.9×	104 1.1×	50 0.6×	71 1.4×	25	440
Yanzhi Qu	154 0.8×	121 1.2×	94 0.9×	93 1.2×	37 0.7×	8	359
Nian Xu	171 0.9×	116 1.1×	107 1.1×	66 0.9×	42 0.8×	10	416
Jörgen Forss	179 1.0×	75 0.7×	106 1.1×	97 1.3×	37 0.7×	9	431
Changyong Lu	175 0.9×	125 1.2×	135 1.4×	54 0.7×	127 2.5×	20	404
Ali Ansari	235 1.3×	157 1.6×	73 0.7×	46 0.6×	45 0.9×	14	443
Donald L. Michelsen	234 1.2×	93 0.9×	80 0.8×	49 0.6×	38 0.7×	9	433

Countries citing papers authored by Jae-Kyu Yang

Since Specialization

Citations

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

Fields of papers citing papers by Jae-Kyu Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae-Kyu Yang. 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 Jae-Kyu Yang. The network helps show where Jae-Kyu Yang may publish in the future.

Co-authorship network of co-authors of Jae-Kyu Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Jae-Kyu Yang. A scholar is included among the top collaborators of Jae-Kyu Yang 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 Jae-Kyu Yang. Jae-Kyu Yang 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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