Mayzonee Ligaray

1.3k total citations
35 papers, 975 citations indexed

About

Mayzonee Ligaray is a scholar working on Water Science and Technology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Mayzonee Ligaray has authored 35 papers receiving a total of 975 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Water Science and Technology, 15 papers in Environmental Engineering and 7 papers in Global and Planetary Change. Recurrent topics in Mayzonee Ligaray's work include Hydrology and Watershed Management Studies (11 papers), Hydrological Forecasting Using AI (6 papers) and Membrane Separation Technologies (6 papers). Mayzonee Ligaray is often cited by papers focused on Hydrology and Watershed Management Studies (11 papers), Hydrological Forecasting Using AI (6 papers) and Membrane Separation Technologies (6 papers). Mayzonee Ligaray collaborates with scholars based in South Korea, Philippines and United States. Mayzonee Ligaray's co-authors include Kyung Hwa Cho, Sang‐Soo Baek, Yakov Pachepsky, JongCheol Pyo, Yongeun Park, Jong Ahn Chun, Jongkwan Park, Sanghun Park, Youngsik Kim and Minjeong Kim 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

Mayzonee Ligaray

33 papers receiving 956 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mayzonee Ligaray South Korea 21 524 392 215 145 115 35 975
Chao Deng China 21 473 0.9× 226 0.6× 353 1.6× 80 0.6× 42 0.4× 62 1.0k
Ehsan Olyaie Iran 9 501 1.0× 331 0.8× 118 0.5× 116 0.8× 102 0.9× 15 816
Ali Saber Iran 16 407 0.8× 117 0.3× 89 0.4× 99 0.7× 80 0.7× 33 854
Huaien Li China 22 413 0.8× 576 1.5× 414 1.9× 164 1.1× 54 0.5× 90 1.3k
Wenqi Zhang China 17 247 0.5× 166 0.4× 179 0.8× 58 0.4× 86 0.7× 76 882
Yong Ni China 11 465 0.9× 162 0.4× 118 0.5× 54 0.4× 41 0.4× 26 1.0k
David K. Stevens United States 17 572 1.1× 285 0.7× 82 0.4× 121 0.8× 126 1.1× 54 1.1k
Xiaoshu Hou China 15 524 1.0× 356 0.9× 275 1.3× 54 0.4× 27 0.2× 32 1.0k
Abolfazl Shamsai Iran 16 257 0.5× 209 0.5× 129 0.6× 52 0.4× 77 0.7× 41 894
Santosh G. Thampi India 15 386 0.7× 156 0.4× 187 0.9× 51 0.4× 83 0.7× 60 770

Countries citing papers authored by Mayzonee Ligaray

Since Specialization
Citations

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

Fields of papers citing papers by Mayzonee Ligaray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayzonee Ligaray

This figure shows the co-authorship network connecting the top 25 collaborators of Mayzonee Ligaray. A scholar is included among the top collaborators of Mayzonee Ligaray 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 Mayzonee Ligaray. Mayzonee Ligaray 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.
Ligaray, Mayzonee, et al.. (2024). Proof of concept for Bayesian inference of dynamic rating curve uncertainty in a sparsely gauged watershed. Hydrological Sciences Journal. 69(15). 2172–2201. 1 indexed citations
2.
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
3.
Ligaray, Mayzonee, et al.. (2024). Spatial assessment of water quality in Mananga River in Talisay City, Cebu, Philippines. Results in Engineering. 24. 103030–103030. 4 indexed citations
4.
Pyo, JongCheol, Yakov Pachepsky, Soobin Kim, et al.. (2023). Long short-term memory models of water quality in inland water environments. Water Research X. 21. 100207–100207. 39 indexed citations
5.
Baek, Sang‐Soo, Mayzonee Ligaray, Yakov Pachepsky, et al.. (2020). Assessment of a green roof practice using the coupled SWMM and HYDRUS models. Journal of Environmental Management. 261. 109920–109920. 56 indexed citations
6.
Pyo, JongCheol, Hongtao Duan, Mayzonee Ligaray, et al.. (2020). An Integrative Remote Sensing Application of Stacked Autoencoder for Atmospheric Correction and Cyanobacteria Estimation Using Hyperspectral Imagery. Remote Sensing. 12(7). 1073–1073. 26 indexed citations
7.
Kim, Minjeong, Mayzonee Ligaray, Yong Sung Kwon, et al.. (2020). Designing a marine outfall to reduce microbial risk on a recreational beach: Field experiment and modeling. Journal of Hazardous Materials. 409. 124587–124587. 10 indexed citations
8.
Cho, Kyung Hwa, et al.. (2020). Data assimilation in surface water quality modeling: A review. Water Research. 186. 116307–116307. 50 indexed citations
9.
Abbas, Ather, Sang‐Soo Baek, Minjeong Kim, et al.. (2020). Surface and sub-surface flow estimation at high temporal resolution using deep neural networks. Journal of Hydrology. 590. 125370–125370. 18 indexed citations
10.
Baek, Sang‐Soo, JongCheol Pyo, Yakov Pachepsky, et al.. (2020). Identification and enumeration of cyanobacteria species using a deep neural network. Ecological Indicators. 115. 106395–106395. 55 indexed citations
11.
Ligaray, Mayzonee, et al.. (2019). Desalination performance of a forward osmosis membrane from acetylated nata de coco (bacterial cellulose). AIP conference proceedings. 2124. 20025–20025.
12.
Jeon, Dong Jin, Mayzonee Ligaray, Min-Jeong Kim, et al.. (2018). Evaluating the influence of climate change on the fate and transport of fecal coliform bacteria using the modified SWAT model. The Science of The Total Environment. 658. 753–762. 38 indexed citations
13.
Baek, Sang‐Soo, et al.. (2017). Developing a Hydrologic Assessment Tool for Designing Bioretention in a watershed. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 6034. 1 indexed citations
14.
Ligaray, Mayzonee, Cybelle M. Futalan, Mark Daniel G. de Luna, & Meng‐Wei Wan. (2017). Removal of chemical oxygen demand from thin-film transistor liquid-crystal display wastewater using chitosan-coated bentonite: Isotherm, kinetics and optimization studies. Journal of Cleaner Production. 175. 145–154. 21 indexed citations
15.
Baek, Sang‐Soo, et al.. (2017). Developing a hydrological simulation tool to design bioretention in a watershed. Environmental Modelling & Software. 122. 104074–104074. 17 indexed citations
16.
Ligaray, Mayzonee, et al.. (2016). Watershed-scale modeling on the fate and transport of polycyclic aromatic hydrocarbons (PAHs). Journal of Hazardous Materials. 320. 442–457. 46 indexed citations
17.
Kim, Jong‐Oh, Kyung Hwa Cho, Mayzonee Ligaray, et al.. (2015). Monitoring influential environmental conditions affecting communities of denitrifying and nitrifying bacteria in a combined anoxic–oxic activated sludge system. International Biodeterioration & Biodegradation. 100. 1–6. 21 indexed citations
18.
Ligaray, Mayzonee, et al.. (2015). Assessment on Hydrologic Response by Climate Change in the Chao Phraya River Basin, Thailand. Water. 7(12). 6892–6909. 40 indexed citations
19.
Ligaray, Mayzonee, et al.. (2015). Adsorption of Eriochrome Black T on MnO2-Coated Zeolite. International Journal of Environmental Science and Development. 6(11). 824–827. 19 indexed citations
20.
Park, Yongeun, Mayzonee Ligaray, Young Mo Kim, et al.. (2015). Development of enhanced groundwater arsenic prediction model using machine learning approaches in Southeast Asian countries. Desalination and Water Treatment. 57(26). 12227–12236. 32 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

Breakdown of academic impact, for papers by Chao Deng Breakdown of academic impact, for papers by Ehsan Olyaie Breakdown of academic impact, for papers by Ali Saber Breakdown of academic impact, for papers by Huaien Li Breakdown of academic impact, for papers by Wenqi Zhang Breakdown of academic impact, for papers by Yong Ni Breakdown of academic impact, for papers by David K. Stevens Breakdown of academic impact, for papers by Xiaoshu Hou Breakdown of academic impact, for papers by Abolfazl Shamsai Breakdown of academic impact, for papers by Santosh G. Thampi
Rankless by CCL
2026