Kai Lun Chong
- Environmental Engineering top 5%
- Hydrological Forecasting Using AI 13
- Water Science and Technology top 5%
- Hydrology and Watershed Management Studies 10
- Water-Energy-Food Nexus Studies 3
- Global and Planetary Change top 10%
- Flood Risk Assessment and Management 5
- Climate variability and models 3
- Hydrology and Drought Analysis 3
- Ocean Engineering top 10%
- Water resources management and optimization 4
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- Energy Load and Power Forecasting 4
- Co-authors
- Ahmed El‐ShafieAli Najah AhmedYuk Feng HuangChai Hoon KooSai Hin LaiMohsen SherifWan Zurina Wan JaafarKin‐Wang Ng
- Journals
- Renewable and Sustainable Energy Reviews (1 paper)Scientific Reports (1 paper)Journal of Hydrology (2 papers)
- Partner nations
- MalaysiaUnited Arab EmiratesIndia
In The Last Decade
Kai Lun Chong
17 papers receiving 456 citations
Hit Papers
Peers
Comparison fields: 5 of 58
- Environmental Engineering 265
- Water Science and Technology 184
- Global and Planetary Change 210
- Ocean Engineering 59
- Atmospheric Science 63
Countries citing papers authored by Kai Lun Chong
This map shows the geographic impact of Kai Lun Chong'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 Kai Lun Chong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Lun Chong more than expected).
Fields of papers citing papers by Kai Lun Chong
This network shows the impact of papers produced by Kai Lun Chong. 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 Kai Lun Chong. The network helps show where Kai Lun Chong may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Kai Lun Chong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 5 | |
| 5 | A review of hybrid deep learning applications for streamflow forecastingbreakdown → | 2023 | 97 |
| 6 | 2023 | 12 | |
| 7 | 2023 | 11 | |
| 8 | 2023 | 8 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 36 | |
| 11 | 2023 | 32 | |
| 12 | 2023 | 25 | |
| 13 | 2022 | 6 | |
| 14 | 2022 | 8 | |
| 15 | 2022 | 18 | |
| 16 | 2021 | 28 | |
| 17 | 2021 | 32 | |
| 18 | 2021 | 50 | |
| 19 | 2020 | 62 | |
| 20 | 2019 | 24 |
About Kai Lun Chong
Kai Lun Chong is a scholar working on Environmental Engineering, Water Science and Technology and Global and Planetary Change, having authored 20 papers that have together received 462 indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (13 papers), Hydrology and Watershed Management Studies (10 papers), Flood Risk Assessment and Management (5 papers), Water resources management and optimization (4 papers), Energy Load and Power Forecasting (4 papers), Climate variability and models (3 papers), Water-Energy-Food Nexus Studies (3 papers) and Hydrology and Drought Analysis (3 papers). The work is most often cited by research in Environmental Engineering (265 citations), Water Science and Technology (184 citations) and Global and Planetary Change (210 citations). Kai Lun Chong has collaborated with scholars based in Malaysia, United Arab Emirates and India. Frequent co-authors include Ahmed El‐Shafie, Ali Najah Ahmed, Yuk Feng Huang, Chai Hoon Koo, Sai Hin Lai, Mohsen Sherif, Wan Zurina Wan Jaafar, Kin‐Wang Ng, Jing Lin Ng and Sarmad Dashti Latif. Their work appears in journals such as Renewable and Sustainable Energy Reviews, Scientific Reports and Journal of Hydrology.
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.