Young Woo Kim

529 total citations
16 papers, 392 citations indexed

About

Young Woo Kim is a scholar working on Environmental Engineering, Water Science and Technology and Oceanography. According to data from OpenAlex, Young Woo Kim has authored 16 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Environmental Engineering, 5 papers in Water Science and Technology and 4 papers in Oceanography. Recurrent topics in Young Woo Kim's work include Hydrological Forecasting Using AI (4 papers), Water Quality and Pollution Assessment (4 papers) and Air Quality and Health Impacts (2 papers). Young Woo Kim is often cited by papers focused on Hydrological Forecasting Using AI (4 papers), Water Quality and Pollution Assessment (4 papers) and Air Quality and Health Impacts (2 papers). Young Woo Kim collaborates with scholars based in South Korea, United States and France. Young Woo Kim's co-authors include YoonKyung Cha, Jihoon Shin, TaeHo Kim, Young‐Seuk Park, Dae‐Seong Lee, Doyeon Lee, Du Yeon Bang, Byung Mu Lee, Seong Kwang Lim and Eun Hye Na 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

Young Woo Kim

12 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Young Woo Kim South Korea	8	126	110	80	69	64	16	392
Chih‐Hua Chang Taiwan	13	215 1.7×	79 0.7×	82 1.0×	72 1.0×	57 0.9×	37	566
Nyanti Lee Malaysia	12	264 2.1×	72 0.7×	36 0.5×	30 0.4×	44 0.7×	61	500
Sonja Behmel Canada	8	284 2.3×	116 1.1×	92 1.1×	69 1.0×	15 0.2×	17	495
Dustin W. Kincaid United States	11	131 1.0×	82 0.7×	20 0.3×	63 0.9×	31 0.5×	22	437
Benny Zuse Rousso Australia	8	115 0.9×	64 0.6×	67 0.8×	12 0.2×	120 1.9×	19	321
Ling Meng China	14	45 0.4×	52 0.5×	53 0.7×	25 0.4×	74 1.2×	33	397
Saheed Adeyinka Oke South Africa	11	76 0.6×	95 0.9×	60 0.8×	31 0.4×	8 0.1×	43	380
Selçuk Soyupak Türkiye	8	214 1.7×	199 1.8×	82 1.0×	17 0.2×	49 0.8×	22	378
Terezinha Ferreira de Oliveira Brazil	10	136 1.1×	53 0.5×	34 0.4×	70 1.0×	10 0.2×	27	340
Augusto César Fonseca Saraiva Brazil	8	153 1.2×	59 0.5×	39 0.5×	13 0.2×	20 0.3×	18	291

Countries citing papers authored by Young Woo Kim

Since Specialization

Citations

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

Fields of papers citing papers by Young Woo Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young Woo Kim. 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 Young Woo Kim. The network helps show where Young Woo Kim may publish in the future.

Co-authorship network of co-authors of Young Woo Kim

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

All Works

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16 of 16 papers shown

Kim, Young Woo, YoonKyung Cha, & Jihoon Shin. (2025). A modular deep learning surrogate model for simulating harmful algal blooms in complex process-based systems. Water Research. 285. 124059–124059. 1 indexed citations

Collins, Toby, Daniel A. Hashimoto, Silvana Perretta, et al.. (2025). Surgeons’ awareness, expectations, and involvement with artificial intelligence: a survey pre and post the GPT era. European Journal of Surgical Oncology. 51(12). 110525–110525.

Kim, Young Woo, et al.. (2025). Efficient Vectorization Method for Design Drawings Using UAV Images and Deep Learning Segmentation. Korean Journal of Remote Sensing. 41(2). 475–488.

Jung, Jae‐Woo, Qikun Xing, Young Woo Kim, et al.. (2024). Effects of temperature and light on early sporophyte development of Saccharina japonica and S. latissima (Phaeophyta). Journal of the World Aquaculture Society. 56(1).

Kim, TaeHo, et al.. (2023). Expansion of Roadside Air Pollution Monitoring Network in Seoul using Learning-based Optimization Method. SHILAP Revista de lepidopterología. 45(3). 148–160.

Xing, Qikun, et al.. (2023). Effects of triazine herbicide terbutryn on physiological responses and gene expression in Alexandrium catenella. Journal of Applied Phycology. 35(4). 1663–1671. 1 indexed citations

Kim, TaeHo, Jihoon Shin, Doyeon Lee, et al.. (2022). Simultaneous feature engineering and interpretation: Forecasting harmful algal blooms using a deep learning approach. Water Research. 215. 118289–118289. 45 indexed citations

Kim, Young Woo, et al.. (2022). Development of a short-term water quality prediction model for urban rivers using real-time water quality data. Water Science & Technology Water Supply. 22(4). 4082–4097. 19 indexed citations

Kim, Young Woo, TaeHo Kim, Jihoon Shin, et al.. (2022). Validity evaluation of a machine-learning model for chlorophyll a retrieval using Sentinel-2 from inland and coastal waters. Ecological Indicators. 137. 108737–108737. 55 indexed citations

10.

Xing, Qikun, Young Woo Kim, Daehyeon Kim, et al.. (2022). Effects of the ultraviolet filter oxybenzone on physiological responses in a red macroalga, Gracilaria vermiculophylla. Aquatic Botany. 179. 103514–103514. 6 indexed citations

11.

Cha, YoonKyung, Jihoon Shin, Dae‐Seong Lee, et al.. (2021). An interpretable machine learning method for supporting ecosystem management: Application to species distribution models of freshwater macroinvertebrates. Journal of Environmental Management. 291. 112719–112719. 79 indexed citations

12.

Kim, Young Woo, TaeHo Kim, Jihoon Shin, et al.. (2021). Forecasting Abrupt Depletion of Dissolved Oxygen in Urban Streams Using Discontinuously Measured Hourly Time‐Series Data. Water Resources Research. 57(4). 34 indexed citations

13.

Park, Jong Sung, et al.. (2021). Seasonal characteristics of PM1 in Seoul, Korea, measured using HR-ToF-Aerosol Mass Spectrometer in 2018. Atmospheric Environment. 266. 118717–118717. 14 indexed citations

14.

Kim, TaeHo, Doyeon Lee, Jihoon Shin, Young Woo Kim, & YoonKyung Cha. (2021). Learning hierarchical Bayesian networks to assess the interaction effects of controlling factors on spatiotemporal patterns of fecal pollution in streams. The Science of The Total Environment. 812. 152520–152520. 5 indexed citations

15.

Shin, Jihoon, et al.. (2020). Effects of class imbalance on resampling and ensemble learning for improved prediction of cyanobacteria blooms. Ecological Informatics. 61. 101202–101202. 47 indexed citations

16.

Bang, Du Yeon, Min Ji Kim, Seul Min Choi, et al.. (2012). Human Risk Assessment of Endocrine‐Disrupting Chemicals Derived from Plastic Food Containers. Comprehensive Reviews in Food Science and Food Safety. 11(5). 453–470. 86 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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