Min Yan Chia

670 total citations
16 papers, 501 citations indexed

About

Min Yan Chia is a scholar working on Environmental Engineering, Electrical and Electronic Engineering and Global and Planetary Change. According to data from OpenAlex, Min Yan Chia has authored 16 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Environmental Engineering, 7 papers in Electrical and Electronic Engineering and 7 papers in Global and Planetary Change. Recurrent topics in Min Yan Chia's work include Hydrological Forecasting Using AI (9 papers), Water Quality Monitoring Technologies (5 papers) and Plant Water Relations and Carbon Dynamics (5 papers). Min Yan Chia is often cited by papers focused on Hydrological Forecasting Using AI (9 papers), Water Quality Monitoring Technologies (5 papers) and Plant Water Relations and Carbon Dynamics (5 papers). Min Yan Chia collaborates with scholars based in Malaysia, Iran and Egypt. Min Yan Chia's co-authors include Chai Hoon Koo, Yuk Feng Huang, Woon Chan Chong, Hui San Thiam, Loong Kong Leong, Lip Huat Saw, Ali Najah Ahmed, Jing Lin Ng, Ahmed El‐Shafie and Ahmed Elbeltagi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hydrology and International Journal of Hydrogen Energy.

In The Last Decade

Min Yan Chia

16 papers receiving 489 citations

Peers

Min Yan Chia

GPC

WST

EEE

Ichiro Kita Japan

Ahmed H. Birima Malaysia

Ali Aldrees Saudi Arabia

Seyed Saeid Eslamian Iran

Muhammad Waqas Thailand

Muhammad Imran Azam Pakistan

Wenjun Yue China

Mohammad Isazadeh Iran

Lauren M. Cook Switzerland

Hamed Kashi Iran

Ichiro Kita Japan

Min Yan Chia

313 ×1.3

147 ×0.6

GPC

226 ×1.2

WST

56 ×0.5

108 ×1.2

EEE

Citations per year, relative to Min Yan Chia Min Yan Chia (= 1×) peers Ichiro Kita

Countries citing papers authored by Min Yan Chia

Since Specialization

Citations

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

Fields of papers citing papers by Min Yan Chia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min Yan Chia. 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 Min Yan Chia. The network helps show where Min Yan Chia may publish in the future.

Co-authorship network of co-authors of Min Yan Chia

This figure shows the co-authorship network connecting the top 25 collaborators of Min Yan Chia. A scholar is included among the top collaborators of Min Yan Chia 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 Min Yan Chia. Min Yan Chia 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

Wong, Yong Jie, Ali Yeganeh, Min Yan Chia, et al.. (2023). Quantification of COVID-19 impacts on NO2 and O3: Systematic model selection and hyperparameter optimization on AI-based meteorological-normalization methods. Atmospheric Environment. 301. 119677–119677. 23 indexed citations

Chia, Min Yan, et al.. (2023). Artificial Intelligence Generated Synthetic Datasets as the Remedy for Data Scarcity in Water Quality Index Estimation. Water Resources Management. 37(15). 6183–6198. 12 indexed citations

Chia, Min Yan, Yuk Feng Huang, Chai Hoon Koo, et al.. (2022). Long-term forecasting of monthly mean reference evapotranspiration using deep neural network: A comparison of training strategies and approaches. Applied Soft Computing. 126. 109221–109221. 35 indexed citations

Chia, Min Yan, et al.. (2022). Applications of deep learning in water quality management: A state-of-the-art review. Journal of Hydrology. 613. 128332–128332. 84 indexed citations

Chia, Min Yan, Yuk Feng Huang, Chai Hoon Koo, & Zheng Rong Chong. (2022). Long-term forecasting of climatic parameters using parametric and non-parametric stochastic modelling. SHILAP Revista de lepidopterología. 347. 5013–5013. 1 indexed citations

Chia, Min Yan, et al.. (2021). Integration of advanced optimization algorithms into least-square support vector machine (LSSVM) for water quality index prediction. Water Science & Technology Water Supply. 22(2). 1951–1963. 32 indexed citations

Chia, Min Yan, Yuk Feng Huang, & Chai Hoon Koo. (2021). Improving reference evapotranspiration estimation using novel inter-model ensemble approaches. Computers and Electronics in Agriculture. 187. 106227–106227. 17 indexed citations

Chia, Min Yan, Yuk Feng Huang, & Chai Hoon Koo. (2021). Resolving data-hungry nature of machine learning reference evapotranspiration estimating models using inter-model ensembles with various data management schemes. Agricultural Water Management. 261. 107343–107343. 25 indexed citations

Chia, Min Yan, et al.. (2020). Recent Advances in Evapotranspiration Estimation Using Artificial Intelligence Approaches with a Focus on Hybridization Techniques—A Review. Agronomy. 10(1). 101–101. 88 indexed citations

10.

Chia, Min Yan, Yuk Feng Huang, & Chai Hoon Koo. (2020). Reference evapotranspiration estimation using adaptive neuro-fuzzy inference system with limited meteorological data. IOP Conference Series Earth and Environmental Science. 612(1). 12017–12017. 5 indexed citations

11.

Chia, Min Yan, Yuk Feng Huang, & Chai Hoon Koo. (2020). Support vector machine enhanced empirical reference evapotranspiration estimation with limited meteorological parameters. Computers and Electronics in Agriculture. 175. 105577–105577. 58 indexed citations

12.

Chia, Min Yan, Yuk Feng Huang, & Chai Hoon Koo. (2020). Swarm-based optimization as stochastic training strategy for estimation of reference evapotranspiration using extreme learning machine. Agricultural Water Management. 243. 106447–106447. 67 indexed citations

13.

Chia, Min Yan, Hui San Thiam, Loong Kong Leong, Chai Hoon Koo, & Lip Huat Saw. (2019). Effect of coupling agents on the transport properties of sulfonated poly (ether ether ketone) based composite membrane. IOP Conference Series Earth and Environmental Science. 268(1). 12131–12131. 2 indexed citations

14.

Chia, Min Yan, Hui San Thiam, Loong Kong Leong, Chai Hoon Koo, & Lip Huat Saw. (2019). Study on improvement of the selectivity of proton exchange membrane via incorporation of silicotungstic acid-doped silica into SPEEK. International Journal of Hydrogen Energy. 45(42). 22315–22323. 35 indexed citations

15.

Chia, Min Yan, Hui San Thiam, Loong Kong Leong, & Chai Hoon Koo. (2018). Effect of Filler Content on Transport Properties of Sulfonated Polyether Ether Ketone (SPEEK) Composite Proton Exchange Membranes. IOP Conference Series Materials Science and Engineering. 409. 12003–12003. 9 indexed citations

16.

Thiam, Hui San, et al.. (2017). Proton conductivity and methanol permeability of Nafion-SiO2/SiWA composite membranes. AIP conference proceedings. 1828. 20007–20007. 8 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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