Tze Ling Ng

825 total citations
32 papers, 667 citations indexed

About

Tze Ling Ng is a scholar working on Ocean Engineering, Water Science and Technology and Environmental Engineering. According to data from OpenAlex, Tze Ling Ng has authored 32 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Ocean Engineering, 9 papers in Water Science and Technology and 8 papers in Environmental Engineering. Recurrent topics in Tze Ling Ng's work include Water resources management and optimization (13 papers), Hydrology and Watershed Management Studies (5 papers) and Flood Risk Assessment and Management (5 papers). Tze Ling Ng is often cited by papers focused on Water resources management and optimization (13 papers), Hydrology and Watershed Management Studies (5 papers) and Flood Risk Assessment and Management (5 papers). Tze Ling Ng collaborates with scholars based in Hong Kong, United States and Australia. Tze Ling Ng's co-authors include J. Wayland Eheart, Ximing Cai, Pan Yang, John B. Braden, Fernando E. Miguez, Masaru Yarime, Erik Baark, Yanfeng Ouyang, J. W. Eheart and Craig S. T. Daughtry and has published in prestigious journals such as Environmental Science & Technology, Renewable and Sustainable Energy Reviews and Water Resources Research.

In The Last Decade

Tze Ling Ng

32 papers receiving 643 citations

Peers

Tze Ling Ng
Tze Ling Ng
Citations per year, relative to Tze Ling Ng Tze Ling Ng (= 1×) peers Raphael Abrahão

Countries citing papers authored by Tze Ling Ng

Since Specialization
Citations

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

Fields of papers citing papers by Tze Ling Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tze Ling Ng. 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 Tze Ling Ng. The network helps show where Tze Ling Ng may publish in the future.

Co-authorship network of co-authors of Tze Ling Ng

This figure shows the co-authorship network connecting the top 25 collaborators of Tze Ling Ng. A scholar is included among the top collaborators of Tze Ling Ng 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 Tze Ling Ng. Tze Ling Ng 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.
Ng, Tze Ling & David Robertson. (2024). Insights to key operational questions in forecast-informed dam release operation: case of Hume Dam. Australasian Journal of Water Resources. 28(2). 255–263. 1 indexed citations
2.
Baark, Erik, et al.. (2021). Social influence and economic intervention policies to save energy at home: Critical questions for the new decade and evidence from air-condition use. Renewable and Sustainable Energy Reviews. 143. 110915–110915. 19 indexed citations
3.
Yang, Pan & Tze Ling Ng. (2021). Quantifying uncertainty in multivariate quantile estimation of hydrometeorological extremes via copula: A comparison between bootstrapping and Markov chain Monte Carlo. International Journal of Climatology. 42(9). 4621–4638. 2 indexed citations
4.
Yarime, Masaru, et al.. (2020). “Triple Target” policy framework to influence household energy behavior: Satisfy, strengthen, include. Applied Energy. 269. 115117–115117. 15 indexed citations
5.
Ng, Tze Ling, et al.. (2020). Understanding the Impact of Observation Data Uncertainty on Probabilistic Streamflow Forecasts Using a Dynamic Hierarchical Model. Water Resources Research. 56(4). 10 indexed citations
6.
Yang, Pan, Tze Ling Ng, & Ximing Cai. (2019). Reward‐Based Participant Management for Crowdsourcing Rainfall Monitoring: An Agent‐Based Model Simulation. Water Resources Research. 55(10). 8122–8141. 14 indexed citations
7.
Yang, Pan & Tze Ling Ng. (2019). Fast Bayesian Regression Kriging Method for Real‐Time Merging of Radar, Rain Gauge, and Crowdsourced Rainfall Data. Water Resources Research. 55(4). 3194–3214. 14 indexed citations
8.
Yang, Pan & Tze Ling Ng. (2017). Gauging Through the Crowd: A Crowd‐Sourcing Approach to Urban Rainfall Measurement and Storm Water Modeling Implications. Water Resources Research. 53(11). 9462–9478. 36 indexed citations
9.
Ng, Tze Ling, et al.. (2016). Integrating desalination to reservoir operation to increase redundancy for more secure water supply. Water Resources Research. 52(8). 6137–6155. 7 indexed citations
11.
Yang, Pan, Tze Ling Ng, & Wei‐Ning Yang. (2015). Comparison of bootstrapping and Markov Chain Monte Carlo for copula analysis of hydrological droughts. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2015. 1 indexed citations
12.
Ng, Tze Ling & Ximing Cai. (2013). Relationships between Interdependency, Reliability, and Vulnerability of Infrastructure Systems: Case Study of Biofuel Infrastructure Development. Journal of Infrastructure Systems. 20(1). 6 indexed citations
13.
Ng, Tze Ling, J. Wayland Eheart, Ximing Cai, John B. Braden, & George F. Czapar. (2013). Agronomic and Stream Nitrate Load Responses to Incentives for Bioenergy Crop Cultivation and Reductions of Carbon Emissions and Fertilizer Use. Journal of Water Resources Planning and Management. 140(1). 112–120. 11 indexed citations
14.
Ng, Tze Ling, J. Wayland Eheart, Ximing Cai, & John B. Braden. (2011). An agent‐based model of farmer decision‐making and water quality impacts at the watershed scale under markets for carbon allowances and a second‐generation biofuel crop. Water Resources Research. 47(9). 113 indexed citations
15.
Ng, Tze Ling, Ximing Cai, & Yanfeng Ouyang. (2011). Some implications of biofuel development for engineering infrastructures in the United States. Biofuels Bioproducts and Biorefining. 5(5). 581–592. 12 indexed citations
16.
Ng, Tze Ling, J. W. Eheart, Ximing Cai, & John B. Braden. (2010). A Watershed-Scale Agent-Based Model Incorporating Agent Learning and Interaction of Farmers' Decisions Subject to Carbon and Miscanthus Prices. AGUFM. 2010. 3 indexed citations
17.
Ng, Tze Ling. (2010). Response of farmers' decisions and stream water quality to price incentives for nitrogen reduction, carbon abatement, and miscanthus cultivation: predictions based on agent-based modeling coupled with water quality modeling. Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign). 3 indexed citations
18.
Ng, Tze Ling, J. W. Eheart, & Ximing Cai. (2010). Comparative Calibration of a Complex Hydrologic Model by Stochastic Methods GLUE and PEST. Transactions of the ASABE. 53(6). 1773–1786. 14 indexed citations
19.
Ng, Tze Ling & J. Wayland Eheart. (2008). A multiple‐realizations chance‐constrained model for optimizing nutrient removal in constructed wetlands. Water Resources Research. 44(4). 7 indexed citations
20.
Eheart, J. Wayland & Tze Ling Ng. (2004). Role of Effluent Permit Trading in Total Maximum Daily Load Programs: Overview and Uncertainty and Reliability Implications. Journal of Environmental Engineering. 130(6). 615–621. 25 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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