Chul Park

3.1k total citations
74 papers, 2.5k citations indexed

About

Chul Park is a scholar working on Pollution, Water Science and Technology and Industrial and Manufacturing Engineering. According to data from OpenAlex, Chul Park has authored 74 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Pollution, 17 papers in Water Science and Technology and 16 papers in Industrial and Manufacturing Engineering. Recurrent topics in Chul Park's work include Wastewater Treatment and Nitrogen Removal (36 papers), Constructed Wetlands for Wastewater Treatment (12 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (10 papers). Chul Park is often cited by papers focused on Wastewater Treatment and Nitrogen Removal (36 papers), Constructed Wetlands for Wastewater Treatment (12 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (10 papers). Chul Park collaborates with scholars based in United States, South Korea and Japan. Chul Park's co-authors include John T. Novak, Meng Wang, Wenye Camilla Kuo-Dahab, Sona Dolan, Ahmed S. Abouhend, Young Mo Kim, Caitlyn S. Butler, Jérôme Hamelin, Kim Milferstedt and Mohammad Abu‐Orf and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Water Research.

In The Last Decade

Chul Park

71 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chul Park United States 28 1.3k 678 628 614 377 74 2.5k
Xiaodan Zhao China 35 550 0.4× 469 0.7× 491 0.8× 1.3k 2.2× 137 0.4× 109 3.4k
Philippe Vandevivere United States 19 619 0.5× 202 0.3× 355 0.6× 838 1.4× 215 0.6× 27 3.2k
Yoan Péchaud France 24 746 0.6× 528 0.8× 306 0.5× 1.2k 1.9× 87 0.2× 46 2.4k
Frédèric Thalasso Mexico 32 935 0.7× 158 0.2× 290 0.5× 300 0.5× 154 0.4× 118 2.9k
Jianghua Yu China 25 640 0.5× 286 0.4× 638 1.0× 513 0.8× 52 0.1× 107 2.1k
Kristian Keiding Denmark 24 2.4k 1.9× 198 0.3× 1.2k 2.0× 2.3k 3.7× 549 1.5× 80 4.3k
Junguo He China 20 590 0.5× 197 0.3× 283 0.5× 734 1.2× 206 0.5× 48 1.6k
Laurent Mazéas France 28 655 0.5× 117 0.2× 314 0.5× 299 0.5× 776 2.1× 64 2.3k
Asher Brenner Israel 28 677 0.5× 145 0.2× 447 0.7× 695 1.1× 83 0.2× 84 2.0k
Wenrong Hu China 35 392 0.3× 1.1k 1.6× 717 1.1× 438 0.7× 50 0.1× 99 3.0k

Countries citing papers authored by Chul Park

Since Specialization
Citations

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

Fields of papers citing papers by Chul Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chul Park

This figure shows the co-authorship network connecting the top 25 collaborators of Chul Park. A scholar is included among the top collaborators of Chul 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 Chul Park. Chul Park 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.
Gikonyo, Joseph G., et al.. (2023). Scaling-up of oxygenic photogranular system in selective-CSTR. Bioresource Technology Reports. 23. 101523–101523. 6 indexed citations
2.
Park, Chul, et al.. (2023). Evaluation of phytoplankton-stimulating potency of effluent nitrogen depending on its chemical forms: A comparison between inorganic and organic nitrogen. Journal of Environmental Management. 336. 117601–117601. 8 indexed citations
3.
Ansari, Abeera Ayaz, et al.. (2022). The fate and dynamics of iron during the transformation of activated sludge into oxygenic photogranules (OPGs) under hydrodynamic batch conditions for environmental applications. Journal of environmental chemical engineering. 10(4). 108190–108190. 6 indexed citations
4.
Brockmann, Doris, et al.. (2020). Wastewater treatment using oxygenic photogranule-based process has lower environmental impact than conventional activated sludge process. Bioresource Technology. 319. 124204–124204. 49 indexed citations
5.
Lee, Wonbae, et al.. (2020). Pseudo-analytical solutions for multi-species biofilm model of aerobic granular sludge. Environmental Technology. 42(22). 3421–3431. 1 indexed citations
6.
8.
Milferstedt, Kim, Wenye Camilla Kuo-Dahab, Caitlyn S. Butler, et al.. (2017). The importance of filamentous cyanobacteria in the development of oxygenic photogranules. Scientific Reports. 7(1). 17944–17944. 112 indexed citations
9.
Wang, Meng, Ashish Sahu, Bjørn Rusten, & Chul Park. (2013). Anaerobic co-digestion of microalgae Chlorella sp. and waste activated sludge. Bioresource Technology. 142. 585–590. 131 indexed citations
11.
Yuan, Xin, Meng Wang, Chul Park, Ashish Sahu, & Sarina J. Ergas. (2012). Microalgae Growth Using High‐Strength Wastewater Followed by Anaerobic Co‐Digestion. Water Environment Research. 84(5). 396–404. 53 indexed citations
12.
Baek, Kyunghwa, et al.. (2012). Molecular approach to evaluate biostimulation of 1,2-dibromoethane in contaminated groundwater. Bioresource Technology. 123. 207–213. 11 indexed citations
13.
Park, Chul, et al.. (2010). Seasonal Distribution of Major Copepods and Their Feeding in the Coastal Area off Taean Peninsula. Symposium on Experimental and Efficient Algorithms. 15(4). 149–157. 2 indexed citations
14.
Kim, Young Mo, Dae Sung Lee, Chul Park, Donghee Park, & Jong Moon Park. (2010). Effects of free cyanide on microbial communities and biological carbon and nitrogen removal performance in the industrial activated sludge process. Water Research. 45(3). 1267–1279. 85 indexed citations
15.
Kim, Young Mo, Hyun Uk Cho, Dae Sung Lee, et al.. (2010). Response of nitrifying bacterial communities to the increased thiocyanate concentration in pre-denitrification process. Bioresource Technology. 102(2). 913–922. 38 indexed citations
16.
Park, Chul, et al.. (2008). Changes of Pharmacological Components and Growth Characteristics According to Cultivation Years of Artemisia capillaris Thunb.. Korean Journal of Medicinal Crop Science. 16(1). 57–61. 1 indexed citations
17.
Park, Chul, Richard F. Helm, & John T. Novak. (2008). Investigating the Fate of Activated Sludge Extracellular Proteins in Sludge Digestion Using Sodium Dodecyl Sulfate Polyacrylamide Gel Electrophoresis. Water Environment Research. 80(12). 2219–2227. 18 indexed citations
18.
Park, Chul, et al.. (2008). Evaluation of the extracellular proteins in full-scale activated sludges. Water Research. 42(14). 3879–3889. 93 indexed citations
19.
Park, Chul, Christopher Muller, Mohammad Abu‐Orf, & John T. Novak. (2006). The Effect of Wastewater Cations on Activated Sludge Characteristics: Effects of Aluminum and Iron in Floc. Water Environment Research. 78(1). 31–40. 91 indexed citations
20.
Park, Chul, Mohammad Abu‐Orf, & John T. Novak. (2006). The Digestibility of Waste Activated Sludges. Water Environment Research. 78(1). 59–68. 69 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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