Mingcan Cui

2.0k total citations
83 papers, 1.7k citations indexed

About

Mingcan Cui is a scholar working on Water Science and Technology, Materials Chemistry and Environmental Chemistry. According to data from OpenAlex, Mingcan Cui has authored 83 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Water Science and Technology, 36 papers in Materials Chemistry and 23 papers in Environmental Chemistry. Recurrent topics in Mingcan Cui's work include Advanced oxidation water treatment (34 papers), Ultrasound and Cavitation Phenomena (29 papers) and Arsenic contamination and mitigation (16 papers). Mingcan Cui is often cited by papers focused on Advanced oxidation water treatment (34 papers), Ultrasound and Cavitation Phenomena (29 papers) and Arsenic contamination and mitigation (16 papers). Mingcan Cui collaborates with scholars based in South Korea, China and United States. Mingcan Cui's co-authors include Jeehyeong Khim, Yonghyeon Lee, Min Jang, Younggyu Son, Jongbok Choi, Jeonggwan Kim, Beomguk Park, Pengpeng Qiu, Junjun Ma and Zhengchang Han and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Water Research.

In The Last Decade

Mingcan Cui

79 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingcan Cui South Korea 23 793 617 502 337 212 83 1.7k
Pinhua Rao China 23 653 0.8× 382 0.6× 456 0.9× 329 1.0× 184 0.9× 66 1.5k
Yazhi Zhao China 22 615 0.8× 416 0.7× 477 1.0× 280 0.8× 262 1.2× 44 1.6k
Wendong Wang China 22 851 1.1× 475 0.8× 526 1.0× 341 1.0× 161 0.8× 68 1.7k
Dan Lian Huang China 5 943 1.2× 644 1.0× 441 0.9× 598 1.8× 254 1.2× 6 2.0k
Mustapha Mohammed Bello Malaysia 19 1.2k 1.5× 458 0.7× 446 0.9× 569 1.7× 198 0.9× 38 2.1k
Binyuan Wang China 25 903 1.1× 415 0.7× 483 1.0× 355 1.1× 169 0.8× 55 1.6k
Shengxin Zhao China 26 861 1.1× 417 0.7× 524 1.0× 347 1.0× 173 0.8× 64 1.6k
Hiua Daraei Iran 23 835 1.1× 539 0.9× 375 0.7× 343 1.0× 135 0.6× 78 1.7k
Jaekyung Yoon South Korea 21 749 0.9× 396 0.6× 604 1.2× 375 1.1× 295 1.4× 47 1.6k

Countries citing papers authored by Mingcan Cui

Since Specialization
Citations

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

Fields of papers citing papers by Mingcan Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingcan Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Mingcan Cui. A scholar is included among the top collaborators of Mingcan Cui 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 Mingcan Cui. Mingcan Cui 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.
Ren, Yangmin, et al.. (2024). Machine learning vs. statistical model for prediction modeling and experimental validation: Application in groundwater permeable reactive barrier width design. Journal of Hazardous Materials. 469. 133825–133825. 8 indexed citations
2.
Ren, Yangmin, et al.. (2024). Prediction of micropollutant degradation kinetic constant by ultrasonic using machine learning. Chemosphere. 363. 142701–142701. 3 indexed citations
3.
Ren, Yangmin, Mingcan Cui, Yonghyeon Lee, et al.. (2023). Zero-valent iron based materials selection for permeable reactive barrier using machine learning. Journal of Hazardous Materials. 453. 131349–131349. 16 indexed citations
4.
Ren, Yangmin, et al.. (2023). Comparison of effects of multiple oxidants with an ultrasonic system under unified system conditions for bisphenol A degradation. Chemosphere. 329. 138526–138526. 8 indexed citations
5.
Ren, Yangmin, et al.. (2023). Sonoelectrochemical system mechanisms, design, and machine learning for predicting degradation kinetic constants of pharmaceutical pollutants. Chemical Engineering Journal. 478. 147266–147266. 7 indexed citations
6.
7.
Cui, Mingcan, et al.. (2021). Multilayer graphene fundamental wave mixer under DC voltage bias. International Journal of RF and Microwave Computer-Aided Engineering. 31(8). 1 indexed citations
8.
Lee, Yonghyeon, Yangmin Ren, Mingcan Cui, et al.. (2021). Rare earth real wastewater treatment by pilot scale using new concept continuous treatment process. Chemosphere. 279. 130523–130523. 16 indexed citations
9.
Cui, Mingcan, Jongbok Choi, Yonghyeon Lee, et al.. (2019). Development of modified mesoporous carbon (CMK-3) for improved adsorption of bisphenol-A. Chemosphere. 238. 124559–124559. 46 indexed citations
10.
Cui, Mingcan, Shaliza Ibrahim, Jeehyeong Khim, et al.. (2015). Synthesis Mechanism and Thermal Optimization of an Economical Mesoporous Material Using Silica: Implications for the Effective Removal or Delivery of Ibuprofen. PLoS ONE. 10(7). e0130253–e0130253. 8 indexed citations
11.
Kim, Eun‐Kyung, Mingcan Cui, Min Jang, et al.. (2014). Investigation of sonochemical activities at a frequency of 334 kHz: The effect of geometric parameters of sonoreactor. Ultrasonics Sonochemistry. 21(4). 1504–1511. 9 indexed citations
12.
Shin, Dong-Hoon, Min Jang, Mingcan Cui, Seungmin Na, & Jeehyeong Khim. (2013). Enhanced removal of dichloroacetonitrile from drinking water by the combination of solar-photocatalysis and ozonation. Chemosphere. 93(11). 2901–2908. 30 indexed citations
13.
Cui, Mingcan, et al.. (2013). Removal of dissolved Zn(II) using coal mine drainage sludge: Implications for acidic wastewater treatment. Journal of Environmental Management. 116. 107–112. 16 indexed citations
14.
Na, Seungmin, Yun Gyong Ahn, Mingcan Cui, & Jeehyeong Khim. (2012). Significant diethyl phthalate (DEP) degradation by combined advanced oxidation process in aqueous solution. Journal of Environmental Management. 101. 104–110. 49 indexed citations
15.
Cui, Mingcan, et al.. (2012). Catalytic assistance of ultrasound for manganese removal by waste oyster shells. Journal of Environmental Management. 115. 235–240. 7 indexed citations
16.
Na, Seungmin, et al.. (2011). Sonophotolytic diethyl phthalate (DEP) degradation with UVC or VUV irradiation. Ultrasonics Sonochemistry. 19(5). 1094–1098. 41 indexed citations
17.
Cui, Mingcan, et al.. (2011). Arsenite Oxidation and Treatment by Ultrasound/Iron in Aqueous Solutions. Japanese Journal of Applied Physics. 50(7S). 07HE08–07HE08. 5 indexed citations
18.
Cui, Mingcan, Min Jang, Sang‐Hyun Cho, & Jeehyeong Khim. (2010). Kinetic and thermodynamic studies of the adsorption of heavy metals on to a new adsorbent: coal mine drainage sludge. Environmental Technology. 31(11). 1203–1211. 23 indexed citations
19.
Cui, Mingcan, et al.. (2010). Enhancement in mineralization of a number of natural refractory organic compounds by the combined process of sonolysis and ozonolysis (US/O3). Ultrasonics Sonochemistry. 18(3). 773–780. 27 indexed citations
20.
Cui, Mingcan, et al.. (2009). Effect of pH and Temperature on the Adsorption of Heavy Metals in Acid Mine Drainage (AMD) Onto Coal Mine Drainage Sludge (CMDS). 14(1). 29–35.

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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