Lloyd Ling

522 total citations
39 papers, 369 citations indexed

About

Lloyd Ling is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Lloyd Ling has authored 39 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Water Science and Technology, 20 papers in Global and Planetary Change and 14 papers in Environmental Engineering. Recurrent topics in Lloyd Ling's work include Hydrology and Watershed Management Studies (21 papers), Flood Risk Assessment and Management (14 papers) and Hydrological Forecasting Using AI (8 papers). Lloyd Ling is often cited by papers focused on Hydrology and Watershed Management Studies (21 papers), Flood Risk Assessment and Management (14 papers) and Hydrological Forecasting Using AI (8 papers). Lloyd Ling collaborates with scholars based in Malaysia, China and United States. Lloyd Ling's co-authors include Zulkifli Yusop, Mou Leong Tan, Zheng Duan, Ab. Latif Ibrahim, Chow Ming Fai, Ren Jie Chin, Yuk Feng Huang, Haitham Abdulmohsin Afan, Sai Hin Lai and Sarmad Dashti Latif and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and IEEE Access.

In The Last Decade

Lloyd Ling

35 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lloyd Ling Malaysia 10 189 174 122 58 51 39 369
Gilbert Hinge India 12 176 0.9× 142 0.8× 187 1.5× 36 0.6× 34 0.7× 29 427
Jazuri Abdullah Malaysia 11 129 0.7× 152 0.9× 95 0.8× 52 0.9× 45 0.9× 38 338
Katayoun Kargar Iran 6 217 1.1× 215 1.2× 201 1.6× 64 1.1× 35 0.7× 8 430
Fereshteh Taromideh Iran 5 107 0.6× 104 0.6× 142 1.2× 36 0.6× 63 1.2× 7 334
Guoyan Pan China 11 203 1.1× 208 1.2× 164 1.3× 47 0.8× 44 0.9× 18 421
Padam Jee Omar India 14 132 0.7× 164 0.9× 203 1.7× 57 1.0× 42 0.8× 27 369
Abdullah Alsalman Saudi Arabia 14 96 0.5× 276 1.6× 159 1.3× 42 0.7× 41 0.8× 47 483
Janaki Ballav Swain India 10 260 1.4× 217 1.2× 132 1.1× 42 0.7× 22 0.4× 25 410
Tomoharu Hori Japan 11 145 0.8× 181 1.0× 92 0.8× 49 0.8× 52 1.0× 43 333
Shyam Bihari Dwivedi India 12 187 1.0× 126 0.7× 193 1.6× 30 0.5× 51 1.0× 45 495

Countries citing papers authored by Lloyd Ling

Since Specialization
Citations

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

Fields of papers citing papers by Lloyd Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lloyd Ling

This figure shows the co-authorship network connecting the top 25 collaborators of Lloyd Ling. A scholar is included among the top collaborators of Lloyd Ling 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 Lloyd Ling. Lloyd Ling 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.
Chin, Ren Jie, et al.. (2025). Performance evaluation and error decomposition of CMORPH satellite precipitation estimation for Klang Valley, Malaysia. IOP Conference Series Earth and Environmental Science. 1453(1). 12050–12050. 1 indexed citations
2.
Chin, Ren Jie, et al.. (2024). Streamflow simulation and forecasting using remote sensing and machine learning techniques. Ain Shams Engineering Journal. 15(12). 103099–103099. 8 indexed citations
3.
Yap, Wun‐She, Yan Chai Hum, Khin Wee Lai, et al.. (2024). Impact of visual enhancement and color conversion algorithms on remote sound recovery from silent videos. Journal of the Society for Information Display. 32(3). 100–113.
4.
Lim, Steven, et al.. (2024). Investigation of Microwave Irradiation and Ethanol Pre-Treatment toward Bioproducts Fractionation from Oil Palm Empty Fruit Bunch. Sustainability. 16(3). 1275–1275. 1 indexed citations
5.
Lai, Sai Hin, et al.. (2024). Optimal Design of Subsurface Conveyance System Based Bio-Ecological Drainage System Simulation. KSCE Journal of Civil Engineering. 28(6). 2564–2570. 1 indexed citations
6.
Chin, Ren Jie, et al.. (2024). Regional and seasonal assessment of biases on high-resolution satellite precipitation estimations in peninsular Malaysia: 2011–2020. Journal of Hydroinformatics. 26(7). 1715–1734. 4 indexed citations
7.
Chin, Ren Jie, et al.. (2024). An unsupervised machine learning approach for estimating missing daily rainfall data in peninsular malaysia. SHILAP Revista de lepidopterología. 67. 1010–1010.
8.
Ling, Lloyd, et al.. (2024). A comparative analysis of missing data imputation techniques on sedimentation data. Ain Shams Engineering Journal. 15(6). 102717–102717. 9 indexed citations
9.
Ling, Lloyd, et al.. (2023). The Revised Curve Number Rainfall–Runoff Methodology for an Improved Runoff Prediction. Water. 15(3). 491–491. 11 indexed citations
10.
Chin, Ren Jie, et al.. (2023). Assessment of Inverse Distance Weighting and Local Polynomial Interpolation for Annual Rainfall: A Case Study in Peninsular Malaysia. SHILAP Revista de lepidopterología. 61–61. 4 indexed citations
12.
Lim, Steven, et al.. (2023). Assessing the Impact of Deforestation on Decadal Runoff Estimates in Non-Homogeneous Catchments of Peninsula Malaysia. Water. 15(6). 1162–1162. 2 indexed citations
13.
Chin, Ren Jie, et al.. (2021). Application of Machine Learning Model for the Prediction of Settling Velocity of Fine Sediments. Mathematics. 9(23). 3141–3141. 7 indexed citations
14.
Ling, Lloyd, et al.. (2021). Dynamic response of scaled structure with one liquid tuned mass damper. Case Studies in Construction Materials. 14. e00512–e00512. 4 indexed citations
15.
Ling, Lloyd, et al.. (2021). Statistical and Type II Error Assessment of a Runoff Predictive Model in Peninsula Malaysia. Mathematics. 9(8). 812–812. 9 indexed citations
16.
Ehteram, Mohammad, Ali Najah Ahmed, Lloyd Ling, et al.. (2020). Pipeline Scour Rates Prediction-Based Model Utilizing a Multilayer Perceptron-Colliding Body Algorithm. Water. 12(3). 902–902. 39 indexed citations
17.
Huang, Yuk Feng, et al.. (2019). Establishing a daily rainfall occurrence simulation model for the Langat River catchment, Malaysia. Journal of Earth System Science. 128(2). 2 indexed citations
18.
Ling, Lloyd, et al.. (2018). New Derivation Method of Region Specific Curve Number for Urban Runoff Prediction at Melana Watershed in Johor, Malaysia. IOP Conference Series Materials Science and Engineering. 401. 12008–12008. 2 indexed citations
19.
Tan, Mou Leong, Ab. Latif Ibrahim, Zulkifli Yusop, Zheng Duan, & Lloyd Ling. (2014). Impacts of land-use and climate variability on hydrological components in the Johor River basin, Malaysia. Hydrological Sciences Journal. 1–17. 112 indexed citations
20.
Ling, Lloyd & Zulkifli Yusop. (2014). Inferential statistics of claim assessment. AIP conference proceedings. 1635. 805–808. 3 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

Rankless by CCL
2026