Jing Lin Ng

1.1k total citations · 1 hit paper
53 papers, 765 citations indexed

About

Jing Lin Ng is a scholar working on Global and Planetary Change, Environmental Engineering and Water Science and Technology. According to data from OpenAlex, Jing Lin Ng has authored 53 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Global and Planetary Change, 17 papers in Environmental Engineering and 13 papers in Water Science and Technology. Recurrent topics in Jing Lin Ng's work include Hydrology and Drought Analysis (21 papers), Climate variability and models (18 papers) and Hydrological Forecasting Using AI (15 papers). Jing Lin Ng is often cited by papers focused on Hydrology and Drought Analysis (21 papers), Climate variability and models (18 papers) and Hydrological Forecasting Using AI (15 papers). Jing Lin Ng collaborates with scholars based in Malaysia, United States and China. Jing Lin Ng's co-authors include Yuk Feng Huang, Ali Najah Ahmed, Ahmed El‐Shafie, Majid Mirzaei, Chai Hoon Koo, Amin Dehghani, Muyideen Abdulkareem, Ramez A. Al-Mansob, Chun Kit Ang and Aimrun Wayayok and has published in prestigious journals such as PLoS ONE, Scientific Reports and Materials.

In The Last Decade

Jing Lin Ng

48 papers receiving 744 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Comparative evaluation of LSTM, CNN, and ConvLSTM for hourly short-term streamflow forecasting using deep learning approaches

2023 97 citations Majid Mirzaei, Jing Lin Ng et al. profile →

Peers

Countries citing papers authored by Jing Lin Ng

Since Specialization

Citations

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

Fields of papers citing papers by Jing Lin Ng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Lin Ng

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Lin Ng. A scholar is included among the top collaborators of Jing Lin 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 Jing Lin Ng. Jing Lin Ng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Shear performance evaluation of sustainable concrete beams containing rice husk ash and carbon nanotubes as cement replacement 2025 ·PLoS ONE ·(unknown), (unknown), (unknown), Jing Lin Ng, Ming Kun Yew, Yong Jin	0
2	Ternary and quaternary sustainable cementitious composites containing rice husk ash: a comprehensive review 2025 ·Discover Applied Sciences ·Yi Jing, (unknown), (unknown), Yong Jin, Jing Lin Ng, Ming Kun Yew	1
3	A review on machine learning models for drought monitoring and forecasting 2025 ·Climate Risk Management ·(unknown), Nouar AlDahoul, Kai Lun Chong, Yuk Feng Huang, Jing Lin Ng, Ahmed El‐Shafie, Mohsen Sherif, Ali Najah Ahmed	0
4	Advances in machine learning for agricultural water management: a review of techniques and applications 2025 ·Journal of Hydroinformatics ·(unknown), David Bolonio, Majid Mirzaei, Jing Lin Ng, (unknown), Amin Dehghani, (unknown), (unknown)	5
5	Analysing the variability of non-stationary extreme rainfall events amidst climate change in East Malaysia 2024 ·AQUA - Water Infrastructure Ecosystems and Society ·Jing Lin Ng, Yuk Feng Huang, (unknown), (unknown), Ali Najah Ahmed, Majid Mirzaei	7
6	Application of integrated artificial intelligence geographical information system in managing water resources: A review 2024 ·Remote Sensing Applications Society and Environment ·Michelle Sapitang, (unknown), Sarmad Dashti Latif, Jing Lin Ng, Yuk Feng Huang, (unknown), Ahmed El‐Shafie, Ali Najah Ahmed	5
7	Estimation of Reference Crop Evapotranspiration with Three Different Machine Learning Models and Limited Meteorological Variables 2023 ·Agronomy ·(unknown), Jing Lin Ng, Yuk Feng Huang, Chun Kit Ang	19
8	Prediction Model and Mechanism for Drying Shrinkage of High-Strength Lightweight Concrete with Graphene Oxide 2023 ·Nanomaterials ·Xiaojiang Hong, (unknown), Jing Lin Ng, Muyideen Abdulkareem, (unknown), (unknown), (unknown)	4
9	Recycled waste of construction industry in Malaysia: A review 2023 ·IOP Conference Series Earth and Environmental Science ·(unknown), (unknown), Jing Lin Ng, (unknown)	3
10	Space–time heterogeneity of drought characteristics in Sabah and Sarawak, East Malaysia: implications for developing effective drought monitoring and mitigation strategies 2023 ·Applied Water Science ·Yuk Feng Huang, Jing Lin Ng, (unknown), (unknown), Nouar AlDahoul, Ali Najah Ahmed, Mohsen Sherif, (unknown), Kai Lun Chong, Ahmed El‐Shafie	8
11	Predicting sea levels using ML algorithms in selected locations along coastal Malaysia 2023 ·Heliyon ·(unknown), Kai Lun Chong, Yuk Feng Huang, Ali Najah Ahmed, Jing Lin Ng, Chai Hoon Koo, (unknown), Mohsen Sherif, Ahmed El‐Shafie	8
12	Local and global sensitivity analysis and its contributing factors in reference crop evapotranspiration 2023 ·Water Science & Technology Water Supply ·(unknown), Jing Lin Ng, Yuk Feng Huang, Chun Kit Ang, Majid Mirzaei, Ali Najah Ahmed	8
13	Assessing rainfall prediction models: Exploring the advantages of machine learning and remote sensing approaches 2023 ·Alexandria Engineering Journal ·Sarmad Dashti Latif, (unknown), Chai Hoon Koo, Jing Lin Ng, (unknown), Yuk Feng Huang, Ahmed El‐Shafie, Ali Najah Ahmed	54
14	Analysis of urban heat islands with landsat satellite images and GIS in Kuala Lumpur Metropolitan City 2023 ·Heliyon ·(unknown), Ali Najah Ahmed, Yuk Feng Huang, Jing Lin Ng, Chai Hoon Koo, Kai Lun Chong, Mohsen Sherif, Ahmed El‐Shafie	32
15	Predicting Sea Level Rise Using Artificial Intelligence: A Review 2023 ·Archives of Computational Methods in Engineering ·(unknown), Ali Najah Ahmed, Kai Lun Chong, (unknown), Yuk Feng Huang, Chai Hoon Koo, Jing Lin Ng, Ahmed El‐Shafie	25
16	Effect of Graphene Oxide on the Mechanical Properties and Durability of High-Strength Lightweight Concrete Containing Shale Ceramsite 2023 ·Materials ·Xiaojiang Hong, (unknown), Jing Lin Ng, (unknown), (unknown), (unknown)	20
17	Rainfall Variability Index (RVI) analysis of dry spells in Malaysia 2022 ·Natural Hazards ·Yuk Feng Huang, Ali Najah Ahmed, Jing Lin Ng, (unknown), Pavitra Kumar, Ahmed El‐Shafie	8
18	An evaluation of various data pre-processing techniques with machine learning models for water level prediction 2021 ·Natural Hazards ·(unknown), Yuk Feng Huang, Jing Lin Ng, Nouar AlDahoul, Ali Najah Ahmed, Ahmed El‐Shafie	26
19	Evaluation of spatial interpolation methods and spatiotemporal modeling of rainfall distribution in Peninsular Malaysia 2021 ·Ain Shams Engineering Journal ·(unknown), (unknown), Yuk Feng Huang, Ali Najah Ahmed, Fang Yenn Teo, Jing Lin Ng, Ahmed El‐Shafie	42
20	Stochastic modelling of seasonal and yearly rainfalls with low-frequency variability 2016 ·Stochastic Environmental Research and Risk Assessment ·Jing Lin Ng, Samsuzana Abd Aziz, Yuk Feng Huang, Aimrun Wayayok, Md Rowshon Kamal	10

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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