Eun-Kyung Jang

409 total citations
57 papers, 306 citations indexed

About

Eun-Kyung Jang is a scholar working on Ecology, Soil Science and Water Science and Technology. According to data from OpenAlex, Eun-Kyung Jang has authored 57 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Ecology, 15 papers in Soil Science and 13 papers in Water Science and Technology. Recurrent topics in Eun-Kyung Jang's work include Soil erosion and sediment transport (15 papers), Hydrology and Sediment Transport Processes (14 papers) and Hydrology and Watershed Management Studies (7 papers). Eun-Kyung Jang is often cited by papers focused on Soil erosion and sediment transport (15 papers), Hydrology and Sediment Transport Processes (14 papers) and Hydrology and Watershed Management Studies (7 papers). Eun-Kyung Jang collaborates with scholars based in South Korea, United States and Canada. Eun-Kyung Jang's co-authors include Tae-Mun Hwang, Yongjun Choi, Sam‐Pin Lee, Ji‐Hyun Seo, Gayathri Naidu, Un Ji, S. Vigneswaran, Sanghyun Jeong, Jae‐Ho Shin and Sangho Lee and has published in prestigious journals such as Water Research, Bioresource Technology and Chemical Engineering Journal.

In The Last Decade

Eun-Kyung Jang

46 papers receiving 277 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eun-Kyung Jang South Korea 10 109 62 59 44 41 57 306
Eun Young Lee South Korea 11 48 0.4× 71 1.1× 41 0.7× 19 0.4× 67 1.6× 34 434
Margarida Oliveira Portugal 12 49 0.4× 52 0.8× 62 1.1× 14 0.3× 78 1.9× 28 354
Okhwa Hwang South Korea 9 27 0.2× 65 1.0× 34 0.6× 21 0.5× 18 0.4× 41 336
Faizan Saleem Canada 8 64 0.6× 48 0.8× 36 0.6× 12 0.3× 14 0.3× 23 256
M.I. Alfa Nigeria 11 82 0.8× 111 1.8× 28 0.5× 8 0.2× 35 0.9× 21 509
Sergio Martínez-Hernández Mexico 11 29 0.3× 126 2.0× 69 1.2× 7 0.2× 16 0.4× 26 335
Ramansu Goswami India 7 42 0.4× 71 1.1× 53 0.9× 11 0.3× 8 0.2× 9 300
Ananthanarayanan Yuvaraj India 13 29 0.3× 36 0.6× 46 0.8× 81 1.8× 120 2.9× 16 594
Lukitawesa Lukitawesa Sweden 8 59 0.5× 135 2.2× 90 1.5× 8 0.2× 21 0.5× 9 321
Thi Dong Phuong Nguyen Vietnam 12 59 0.5× 74 1.2× 88 1.5× 12 0.3× 76 1.9× 20 501

Countries citing papers authored by Eun-Kyung Jang

Since Specialization
Citations

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

Fields of papers citing papers by Eun-Kyung Jang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eun-Kyung Jang. 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 Eun-Kyung Jang. The network helps show where Eun-Kyung Jang may publish in the future.

Co-authorship network of co-authors of Eun-Kyung Jang

This figure shows the co-authorship network connecting the top 25 collaborators of Eun-Kyung Jang. A scholar is included among the top collaborators of Eun-Kyung Jang 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 Eun-Kyung Jang. Eun-Kyung Jang 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.
Khadir, Ali, Eun-Kyung Jang, Domenico Santoro, et al.. (2025). Methane production and microbial adaptation in high-load vacuum-enhanced anaerobic digestion: Addressing ammonia and propionate toxicity. Chemical Engineering Journal. 509. 161105–161105. 3 indexed citations
2.
Jang, Eun-Kyung, et al.. (2025). Assessing water surface profile simulations with bulk flow resistance and composite roughness methods in partially vegetated channels. KSCE Journal of Civil Engineering. 30(4). 100456–100456.
3.
Manoli, Kyriakos, et al.. (2025). A comparative evaluation of performic acid, peracetic acid, and sodium hypochlorite for bacterial disinfection of secondary effluent. Journal of Environmental Management. 378. 124711–124711.
4.
Kim, Seongyun, et al.. (2024). Effect of Seepage on Sand Levee Failure Due to Lateral Overtopping. Water. 16(24). 3617–3617. 3 indexed citations
5.
Abdelrahman, Amr Mustafa, Ali Khadir, Domenico Santoro, et al.. (2024). Vacuum evaporation coupled with anaerobic digestion for process intensification and ammonia recovery: Model development, validation and scenario analysis. Bioresource Technology. 416. 131753–131753. 3 indexed citations
7.
Jang, Eun-Kyung, et al.. (2023). Estimating Riparian Vegetation Volume in the River by 3D Point Cloud from UAV Imagery and Alpha Shape. Applied Sciences. 14(1). 20–20. 1 indexed citations
8.
Jang, Eun-Kyung, et al.. (2023). Estimation of sediment discharge using a tree-based model. Hydrological Sciences Journal. 68(11). 1513–1528. 1 indexed citations
9.
Lee, Hyejung, et al.. (2022). Analysis of the importance of nursing care and performance confidence perceived by nurses in the neonatal intensive care unit. The Journal of Korean Academic Society of Nursing Education. 28(1). 5–14. 1 indexed citations
10.
Jang, Eun-Kyung, Elsayed Elbeshbishy, Domenico Santoro, et al.. (2022). Vacuum-enhanced anaerobic fermentation: Achieving process intensification, thickening and improved hydrolysis and VFA yields in a single treatment step. Water Research. 220. 118719–118719. 21 indexed citations
11.
Jang, Eun-Kyung. (2020). Model development for the estimation of specific degradation using classification and prediction of data mining. Journal of Korea Water Resources Association. 215–223. 1 indexed citations
14.
Jang, Eun-Kyung, et al.. (2018). The Effect of Dynamic Balance on Cyber Motion Sickness of Full Immersion Virtual Reality. Journal of Convergence Information Technology. 8(1). 131–138. 3 indexed citations
15.
Jang, Eun-Kyung & Un Ji. (2017). Numerical Analysis on Flow and Bed Change Characteristics by Discharge Variations at the Confluence of Nakdong and Geumho Rivers. Journal of the Korea Academia-Industrial cooperation Society. 18(12). 659–667.
16.
Ji, Un & Eun-Kyung Jang. (2015). Stable Channel Design for the Gravel-bed River Considering Design Constraints. Journal of the Korea Academia-Industrial cooperation Society. 16(4). 2860–2867.
17.
Jang, Eun-Kyung, et al.. (2007). Characterization of Mucilage Produced from the Solid-state Fermentation of Soybean Grit by Bacillus firmus. Food Science and Biotechnology. 16(5). 722–727. 5 indexed citations
18.
Jang, Eun-Kyung, et al.. (2007). Characterization of γ-Polyglutamic Acid Produced from the Solid-state Fermentation of Soybean Milk Cake Using Bacillus sp.. Food Science and Biotechnology. 16(4). 509–514. 23 indexed citations
19.
Jung, Mun Yhung, et al.. (2006). Technical Note: Improved Extraction Method with Hexane for Gas Chromatographic Analysis of Conjugated Linoleic Acids. Journal of Dairy Science. 89(1). 90–94. 13 indexed citations
20.
Jang, Ki‐Hyo, Eun-Kyung Jang, Seung‐Whan Kim, et al.. (2006). High-Level Production of Low-Branched Levan from Pseudomonas aurantiaca S-4380 for the Production of di-β-D-Fructofuranose Dianhydride IV. Journal of Microbiology and Biotechnology. 16(1). 102–108. 8 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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