Yongeun Park

2.7k total citations
73 papers, 2.2k citations indexed

About

Yongeun Park is a scholar working on Water Science and Technology, Environmental Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Yongeun Park has authored 73 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Water Science and Technology, 25 papers in Environmental Engineering and 22 papers in Industrial and Manufacturing Engineering. Recurrent topics in Yongeun Park's work include Marine and coastal ecosystems (15 papers), Hydrology and Watershed Management Studies (14 papers) and Water Quality and Pollution Assessment (14 papers). Yongeun Park is often cited by papers focused on Marine and coastal ecosystems (15 papers), Hydrology and Watershed Management Studies (14 papers) and Water Quality and Pollution Assessment (14 papers). Yongeun Park collaborates with scholars based in South Korea, United States and China. Yongeun Park's co-authors include Kyung Hwa Cho, Joon Ha Kim, Yakov Pachepsky, Kangmin Chon, Yong-Gu Lee, Sung Min, Jaegwan Shin, Sang-Won Kim, Joo‐Hyon Kang and JongCheol Pyo and has published in prestigious journals such as The Science of The Total Environment, Water Research and Remote Sensing of Environment.

In The Last Decade

Yongeun Park

68 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yongeun Park South Korea	28	1.3k	622	502	415	308	73	2.2k
Jinhui Jeanne Huang‬‬‬‬ China	32	1.0k 0.8×	882 1.4×	276 0.5×	148 0.4×	226 0.7×	143	2.5k
Nguyễn Thị Thu Hà Vietnam	19	503 0.4×	235 0.4×	378 0.8×	379 0.9×	557 1.8×	89	1.6k
Sijia Li China	28	584 0.5×	305 0.5×	377 0.8×	249 0.6×	694 2.3×	88	1.8k
Kyunghyun Kim South Korea	20	508 0.4×	294 0.5×	216 0.4×	271 0.7×	187 0.6×	89	1.2k
Joo‐Hyon Kang South Korea	23	750 0.6×	683 1.1×	194 0.4×	239 0.6×	82 0.3×	73	1.6k
John Bridgeman United Kingdom	31	1.3k 1.0×	581 0.9×	1.1k 2.2×	285 0.7×	661 2.1×	101	3.7k
Wu‐Seng Lung United States	20	774 0.6×	437 0.7×	167 0.3×	277 0.7×	167 0.5×	68	1.4k
Zuxin Xu China	23	674 0.5×	477 0.8×	448 0.9×	187 0.5×	62 0.2×	126	1.9k
Osamu Nishimura Japan	22	464 0.4×	279 0.4×	558 1.1×	475 1.1×	298 1.0×	194	2.4k
Jean‐Marie Mouchel France	30	742 0.6×	532 0.9×	258 0.5×	279 0.7×	158 0.5×	79	2.2k

Countries citing papers authored by Yongeun Park

Since Specialization

Citations

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

Fields of papers citing papers by Yongeun Park

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongeun Park

This figure shows the co-authorship network connecting the top 25 collaborators of Yongeun Park. A scholar is included among the top collaborators of Yongeun Park 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 Yongeun Park. Yongeun Park 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

Lee, Hankyu, et al.. (2025). Evaluating the applicability of machine learning and deep learning models for predicting cyanobacterial alert levels in a drinking water reservoir. Journal of Water Process Engineering. 73. 107685–107685.

Shin, Jae-Ki, et al.. (2025). Construction of a Real-Time Detection for Floating Plastics in a Stream Using Video Cameras and Deep Learning. Sensors. 25(7). 2225–2225.

Lee, Dong Hoon, et al.. (2025). Analysis of the norovirus contamination hotspots at a nationwide scale using physical and statistical mapping methods. Journal of Hydrology. 661. 133714–133714. 1 indexed citations

Shin, Jaegwan, Hojung Rho, Changgil Son, et al.. (2025). Functionalization of coffee waste biochars with Ca/Fe layered double hydroxides for enhanced removal and selectivity of phosphate ions: Mechanisms and reusability. Journal of Water Process Engineering. 76. 108123–108123. 2 indexed citations

Shin, Jaegwan, Hojung Rho, Jinwoo Kwak, et al.. (2025). Decoration of Mg/Fe layered double hydroxides on coffee waste biochars for enhanced adsorption and selectivity of phosphate ions: Mechanistic studies. Desalination and Water Treatment. 321. 100990–100990.

Shin, Jaegwan, Sangho Lee, Jinwoo Kwak, et al.. (2024). Post-calcination as an effective approach to enhance adsorption of arsenic and antimony anions by Mg/Al layered double hydroxide-decorated spent coffee ground biochars: Role of charge properties and active sites. Environmental Pollution. 361. 124850–124850. 6 indexed citations

Jang, Jiyi, Sang‐Soo Baek, Daehyun Kang, et al.. (2024). Insights and machine learning predictions of harmful algal bloom in the East China Sea and Yellow Sea. Journal of Cleaner Production. 459. 142515–142515. 6 indexed citations

Lee, Hankyu, et al.. (2024). Deep-learning and data-resampling: A novel approach to predict cyanobacterial alert levels in a reservoir. Environmental Research. 263(Pt 2). 120135–120135. 4 indexed citations

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

10.

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

11.

Park, Yongeun, et al.. (2021). Weighted Mask R‐CNN for Improving Adjacent Boundary Segmentation. Journal of Sensors. 2021(1). 14 indexed citations

12.

Shin, Jaegwan, Jinwoo Kwak, Yong-Gu Lee, et al.. (2021). Changes in adsorption mechanisms of radioactive barium, cobalt, and strontium ions using spent coffee waste biochars via alkaline chemical activation: Enrichment effects of O-containing functional groups. Environmental Research. 199. 111346–111346. 44 indexed citations

13.

Park, Yongeun, Jae-Ki Shin, Kangmin Chon, et al.. (2021). A machine learning approach for early warning of cyanobacterial bloom outbreaks in a freshwater reservoir. Journal of Environmental Management. 288. 112415–112415. 62 indexed citations

14.

Park, Yongeun, Kartik Chandran, Jingyeong Shin, et al.. (2021). Temporal triggers of N2O emissions during cyclical and seasonal variations of a full-scale sequencing batch reactor treating municipal wastewater. The Science of The Total Environment. 797. 149093–149093. 17 indexed citations

15.

Pyo, JongCheol, Yong Sung Kwon, Joong‐Hyuk Min, et al.. (2021). Effect of hyperspectral image-based initial conditions on improving short-term algal simulation of hydrodynamic and water quality models. Journal of Environmental Management. 294. 112988–112988. 18 indexed citations

16.

Shin, Jaegwan, Yong-Gu Lee, Sangho Lee, et al.. (2020). Single and competitive adsorptions of micropollutants using pristine and alkali-modified biochars from spent coffee grounds. Journal of Hazardous Materials. 400. 123102–123102. 97 indexed citations

17.

Cho, Kyung Hwa, Yakov Pachepsky, David M. Oliver, et al.. (2016). Modeling fate and transport of fecally-derived microorganisms at the watershed scale: State of the science and future opportunities. Water Research. 100. 38–56. 111 indexed citations

18.

Cho, Kyung Hwa, Sung Min, Joo‐Hyon Kang, et al.. (2010). Meteorological effects on the levels of fecal indicator bacteria in an urban stream: A modeling approach. Water Research. 44(7). 2189–2202. 84 indexed citations

19.

Cho, Kyung Hwa, Dukki Han, Yongeun Park, et al.. (2010). Evaluation of the relationship between two different methods for enumeration fecal indicator bacteria: Colony-forming unit and most probable number. Journal of Environmental Sciences. 22(6). 846–850. 28 indexed citations

20.

Cho, Kyung Hwa, Joo‐Hyon Kang, Seo Jin Ki, et al.. (2009). Determination of the optimal parameters in regression models for the prediction of chlorophyll-a: A case study of the Yeongsan Reservoir, Korea. The Science of The Total Environment. 407(8). 2536–2545. 42 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.

Explore authors with similar magnitude of impact