Fang Yenn Teo

1.5k total citations
62 papers, 1.0k citations indexed

About

Fang Yenn Teo is a scholar working on Global and Planetary Change, Water Science and Technology and Environmental Engineering. According to data from OpenAlex, Fang Yenn Teo has authored 62 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Global and Planetary Change, 22 papers in Water Science and Technology and 19 papers in Environmental Engineering. Recurrent topics in Fang Yenn Teo's work include Flood Risk Assessment and Management (24 papers), Hydrology and Watershed Management Studies (13 papers) and Hydrology and Sediment Transport Processes (10 papers). Fang Yenn Teo is often cited by papers focused on Flood Risk Assessment and Management (24 papers), Hydrology and Watershed Management Studies (13 papers) and Hydrology and Sediment Transport Processes (10 papers). Fang Yenn Teo collaborates with scholars based in Malaysia, United Kingdom and China. Fang Yenn Teo's co-authors include Ahmed El‐Shafie, Ali Najah Ahmed, Binliang Lin, Roger A. Falconer, Chow Ming Fai, Yuk Feng Huang, Junqiang Xia, Mohammad Ehteram, Fatemeh Barzegari Banadkooki and Sarmad Dashti Latif and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Hydrology.

In The Last Decade

Fang Yenn Teo

57 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fang Yenn Teo Malaysia 18 439 395 350 171 127 62 1.0k
Neil Bennett Australia 2 486 1.1× 466 1.2× 386 1.1× 152 0.9× 112 0.9× 2 1.2k
Yousef Hassanzadeh Iran 19 561 1.3× 445 1.1× 393 1.1× 123 0.7× 201 1.6× 59 1.3k
Biswa Bhattacharya Netherlands 17 486 1.1× 452 1.1× 481 1.4× 217 1.3× 196 1.5× 51 1.2k
Yiqing Guan China 16 364 0.8× 423 1.1× 386 1.1× 81 0.5× 55 0.4× 38 866
Haroon Stephen United States 18 436 1.0× 460 1.2× 664 1.9× 201 1.2× 113 0.9× 76 1.4k
Jong Ahn Chun South Korea 21 565 1.3× 589 1.5× 494 1.4× 88 0.5× 66 0.5× 64 1.4k
Mohammad Taghi Aalami Iran 15 297 0.7× 582 1.5× 662 1.9× 74 0.4× 123 1.0× 42 1.1k
Ashkan Farokhnia Iran 13 381 0.9× 530 1.3× 574 1.6× 95 0.6× 106 0.8× 24 1.0k
Othman A. Karim Malaysia 16 181 0.4× 463 1.2× 552 1.6× 190 1.1× 183 1.4× 56 1.1k
Nur Shazwani Muhammad Malaysia 19 489 1.1× 415 1.1× 405 1.2× 73 0.4× 131 1.0× 64 1.1k

Countries citing papers authored by Fang Yenn Teo

Since Specialization
Citations

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

Fields of papers citing papers by Fang Yenn Teo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fang Yenn Teo. 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 Fang Yenn Teo. The network helps show where Fang Yenn Teo may publish in the future.

Co-authorship network of co-authors of Fang Yenn Teo

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Yenn Teo. A scholar is included among the top collaborators of Fang Yenn Teo 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 Fang Yenn Teo. Fang Yenn Teo 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.
2.
Chen, Zhiyuan, et al.. (2024). Intelligent water quality prediction system with a hybrid CNN–LSTM model. Water Practice & Technology. 19(11). 4538–4555. 3 indexed citations
3.
Teo, Fang Yenn, et al.. (2024). Monsoonal Extreme Rainfall in Southeast Asia: A Review. Water. 17(1). 5–5. 4 indexed citations
4.
Teo, Fang Yenn, et al.. (2023). An Improved DINEOF Algorithm Based on Optimized Validation Points Selection Method. Water. 15(3). 392–392. 2 indexed citations
5.
Lai, Sai Hin, et al.. (2023). Sequential Data Processing for IMERG Satellite Rainfall Comparison and Improvement Using LSTM and ADAM Optimizer. Applied Sciences. 13(12). 7237–7237. 8 indexed citations
6.
Shah, Syed Muzzamil Hussain, Mohamed A. Yassin, Sani I. Abba, et al.. (2023). Flood Risk and Vulnerability from a Changing Climate Perspective: An Overview Focusing on Flash Floods and Associated Hazards in Jeddah. Water. 15(20). 3641–3641. 11 indexed citations
7.
Arumugasamy, Senthil Kumar, et al.. (2023). Water Level Forecasting Using Artificial Neural Network (Ann): A Case Study of Semenyih River, Malaysia. Process Integration and Optimization for Sustainability. 8(1). 259–270.
8.
Shah, Syed Muzzamil Hussain, et al.. (2023). Trend assessment of changing climate patterns over the major agro-climatic zones of Sindh and Punjab. Frontiers in Water. 5. 6 indexed citations
9.
Lai, Sai Hin, et al.. (2022). Three Steps towards Better Forecasting for Streamflow Deep Learning. Applied Sciences. 12(24). 12567–12567. 12 indexed citations
10.
Shah, Syed Muzzamil Hussain, Zahiraniza Mustaffa, Shabir Hussain Khahro, et al.. (2021). FROUDE NUMBER VARIANCE WITH RESPECT TO THE HYDRODYNAMIC RESPONSE OF A NON-STATIC VEHICLE AT A LOW-LYING FLOODED ROADWAY. IIUM Engineering Journal. 22(1). 35–46. 4 indexed citations
11.
Teo, Hoong Chen, Matthew J. Hill, Alex M. Lechner, Fang Yenn Teo, & Christopher Gibbins. (2021). Landscape-scale Remote Sensing and Classification of Lentic Habitats in a Tropical City. Wetlands. 41(7). 10 indexed citations
12.
Vericat, Damià, et al.. (2021). A review of the impacts of dams on the hydromorphology of tropical rivers. The Science of The Total Environment. 794. 148686–148686. 40 indexed citations
13.
Huang, Yuk Feng, et al.. (2021). Evaluation of spatial interpolation methods and spatiotemporal modeling of rainfall distribution in Peninsular Malaysia. Ain Shams Engineering Journal. 13(2). 101571–101571. 42 indexed citations
14.
Wong, Kok-Cheong, et al.. (2021). A Review on BRT Scoring System for Malaysia Practice. Civil Engineering and Architecture. 9(2). 410–419. 1 indexed citations
15.
Najah, A., Fang Yenn Teo, Chow Ming Fai, et al.. (2021). Surface water quality status and prediction during movement control operation order under COVID-19 pandemic: Case studies in Malaysia. International Journal of Environmental Science and Technology. 18(4). 1009–1018. 61 indexed citations
16.
Teo, Fang Yenn, et al.. (2021). A Review of Managing Water Resources in Malaysia with Big Data Approaches. Unimas Institutional Repository (Universiti Malaysia Sarawak). 141–148. 2 indexed citations
17.
Othman, Faridah, Ali Najah Ahmed, Fang Yenn Teo, et al.. (2020). Efficient river water quality index prediction considering minimal number of inputs variables. Engineering Applications of Computational Fluid Mechanics. 14(1). 751–763. 64 indexed citations
18.
Banadkooki, Fatemeh Barzegari, Mohammad Ehteram, Ali Najah Ahmed, et al.. (2020). Enhancement of Groundwater-Level Prediction Using an Integrated Machine Learning Model Optimized by Whale Algorithm. Natural Resources Research. 29(5). 3233–3252. 85 indexed citations
19.
Banadkooki, Fatemeh Barzegari, Mohammad Ehteram, Ali Najah Ahmed, et al.. (2020). Suspended sediment load prediction using artificial neural network and ant lion optimization algorithm. Environmental Science and Pollution Research. 27(30). 38094–38116. 83 indexed citations
20.
Lai, Sai Hin, et al.. (2015). An investigation into the effects of particle texture, water content and parallel plates׳ diameters on rheological behavior of fine sediment. International Journal of Sediment Research. 31(2). 120–130. 6 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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