Hae-Cheol Kim

609 total citations
21 papers, 395 citations indexed

About

Hae-Cheol Kim is a scholar working on Oceanography, Global and Planetary Change and Ecology. According to data from OpenAlex, Hae-Cheol Kim has authored 21 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oceanography, 7 papers in Global and Planetary Change and 4 papers in Ecology. Recurrent topics in Hae-Cheol Kim's work include Marine and coastal ecosystems (13 papers), Oceanographic and Atmospheric Processes (9 papers) and Marine and fisheries research (5 papers). Hae-Cheol Kim is often cited by papers focused on Marine and coastal ecosystems (13 papers), Oceanographic and Atmospheric Processes (9 papers) and Marine and fisheries research (5 papers). Hae-Cheol Kim collaborates with scholars based in United States, South Korea and United Kingdom. Hae-Cheol Kim's co-authors include Yong Hoon Kim, SeungHyun Son, Jongseong Ryu, Jungho Nam, Jong Seong Khim, Young‐Gyu Park, Bora Kim, Won Keun Chang, Xuyong Li and Thomas E. Jordan and has published in prestigious journals such as Environmental Pollution, Chemosphere and Limnology and Oceanography.

In The Last Decade

Hae-Cheol Kim

20 papers receiving 387 citations

Peers

Hae-Cheol Kim
Jeong-Eon Moon South Korea
Bertrand Saulquin France
Rivo Uiboupin Estonia
Carolina Sá Portugal
Hisashi Yamaguchi Japan
Philippe Garnesson France
Shuangyan He China
Katarzyna Bradtke Poland
Alexandre Castagna Belgium
R. Pasterkamp Netherlands
Jeong-Eon Moon South Korea
Hae-Cheol Kim
Citations per year, relative to Hae-Cheol Kim Hae-Cheol Kim (= 1×) peers Jeong-Eon Moon

Countries citing papers authored by Hae-Cheol Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hae-Cheol Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hae-Cheol 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 Hae-Cheol Kim. The network helps show where Hae-Cheol Kim may publish in the future.

Co-authorship network of co-authors of Hae-Cheol Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Hae-Cheol Kim. A scholar is included among the top collaborators of Hae-Cheol 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 Hae-Cheol Kim. Hae-Cheol Kim 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.
Kim, Hae-Cheol, et al.. (2023). Spatio-temporal structures of satellite-derived water quality indicators along the Korean South Coast. Environment International. 178. 108083–108083. 1 indexed citations
2.
Fennel, Katja, Marion Gehlen, Pierre Brasseur, et al.. (2019). Advancing Marine Biogeochemical and Ecosystem Reanalyses and Forecasts as Tools for Monitoring and Managing Ecosystem Health. Frontiers in Marine Science. 6. 63 indexed citations
3.
Kwon, Bong-Oh, Hae-Cheol Kim, Chul‐Hwan Koh, et al.. (2018). Development of temperature-based algorithms for the estimation of microphytobenthic primary production in a tidal flat: A case study in Daebu mudflat, Korea. Environmental Pollution. 241. 115–123. 12 indexed citations
4.
Kim, Yong Hoon, Hae-Cheol Kim, SeungHyun Son, et al.. (2018). Implementation of a Numerical Model of Metals for Total Maximum Daily Loads (TMDLs) in Onsan Harbor, Korea. Journal of Coastal Research. 85. 1506–1510. 3 indexed citations
5.
Kim, Hae-Cheol, Yong Hoon Kim, SeungHyun Son, et al.. (2018). Implications of Estuarine and Coastal Management in the Growth of Porphyra sp. in the Geum River Estuary, South Korea: A Modeling Study. Journal of Coastal Research. 85. 396–400. 2 indexed citations
6.
Halliwell, George R., Lynn K. Shay, Vassiliki H. Kourafalou, et al.. (2017). OSSE quantitative assessment of rapid‐response prestorm ocean surveys to improve coupled tropical cyclone prediction. Journal of Geophysical Research Oceans. 122(7). 5729–5748. 11 indexed citations
7.
Kim, Yong Hoon, Seongjin Hong, Hae-Cheol Kim, et al.. (2017). Seasonal variability of estuarine dynamics due to freshwater discharge and its influence on biological productivity in Yeongsan River Estuary, Korea. Chemosphere. 181. 390–399. 23 indexed citations
8.
Kim, Hae-Cheol, et al.. (2017). Improved waveform design for radar target classification. Electronics Letters. 53(13). 879–881. 14 indexed citations
9.
Kim, Hae-Cheol, SeungHyun Son, Yong Hoon Kim, et al.. (2017). Remote sensing and water quality indicators in the Korean West coast: Spatio-temporal structures of MODIS-derived chlorophyll-a and total suspended solids. Marine Pollution Bulletin. 121(1-2). 425–434. 67 indexed citations
10.
Kim, Hae-Cheol, Sudhir Nadiga, SeungHyun Son, et al.. (2017). Implications of ocean color in the upper water thermal structure at NINO3.4 region: a sensitivity study for optical algorithms and ocean color variabilities. GIScience & Remote Sensing. 55(4). 568–582. 3 indexed citations
11.
Nadiga, Sudhir, Vladimir M. Krasnopolsky, E. J. Bayler, et al.. (2016). Neural network technique for gap-filling satellite ocean color observations.. NOAA Institutional Repository. 1 indexed citations
12.
Kim, Hae-Cheol, et al.. (2015). Technical Reviews on Ecosystem Modeling Approach and its Applicability in Ecosystem-Based Coastal Management in Saemangeum Offshore and Geum River Estuary. Journal of the Korean Society for Marine Environment & Energy. 18(3). 233–244. 1 indexed citations
13.
Hahm, Doshik, Tae Siek Rhee, Hae-Cheol Kim, et al.. (2014). Spatial and temporal variation of net community production and its regulating factors in the Amundsen Sea, Antarctica. Journal of Geophysical Research Oceans. 119(5). 2815–2826. 18 indexed citations
14.
Son, SeungHyun, Yong Hoon Kim, Jae‐Il Kwon, Hae-Cheol Kim, & Kwang-Soon Park. (2014). Characterization of spatial and temporal variation of suspended sediments in the Yellow and East China Seas using satellite ocean color data. GIScience & Remote Sensing. 51(2). 212–226. 36 indexed citations
15.
Garraffo, Z. D., et al.. (2014). Modeling of 137Cs as a Tracer in a Regional Model for the Western Pacific, after the Fukushima–Daiichi Nuclear Power Plant Accident of March 2011. Weather and Forecasting. 31(2). 553–579. 14 indexed citations
16.
Kim, Yong Hoon, Ho Kyung Ha, Sang Heon Lee, et al.. (2014). Entrainment induced by near-inertial drift of sea ice and its impact on under-ice biogeochemical processes in marginal ice zones. Deep Sea Research Part II Topical Studies in Oceanography. 120. 21–34. 1 indexed citations
17.
Kim, Hae-Cheol & Yang‐Ki Cho. (2013). A Brief Introduction to Marine Ecosystem Modeling. 18(1). 21–31. 1 indexed citations
18.
19.
Li, Xuyong, Donald E. Weller, Charles L. Gallegos, Thomas E. Jordan, & Hae-Cheol Kim. (2007). Effects of watershed and estuarine characteristics on the abundance of submerged aquatic vegetation in Chesapeake Bay subestuaries. Estuaries and Coasts. 30(5). 840–854. 37 indexed citations
20.
Kim, Hae-Cheol, et al.. (1998). The Seasonal Variation of Primary Productivity in the Antarctic Coastal Ecosystems. Symposium on Experimental and Efficient Algorithms. 3(2). 80–89. 2 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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