Chai Hoon Koo

3.3k citations
87 papers · 2.5k indexed · 2 hit papers · h-index 29
Topics
Membrane Separation Technologies (26 papers)Hydrological Forecasting Using AI (25 papers)Hydrology and Watershed Management Studies (14 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of Cleaner ProductionScientific Reports

In The Last Decade

Chai Hoon Koo

78 papers receiving 2.4k citations

Hit Papers

A review of the hybrid artificial intelligence and optimi...20212026202220242021202350100150

Peers

Chai Hoon Koo
Comparison fields: 5 of 112
  • Water Science and Technology 1.0k
  • Global and Planetary Change 809
  • Environmental Engineering 728
  • Electrical and Electronic Engineering 393
  • Biomedical Engineering 352
Replace Jinhui Jeanne Huang‬‬‬‬ with:
Jinhui Jeanne Huang‬‬‬‬ China
Sai Hin Lai Malaysia
Wei-Haur Lam China
Maurizio Giugni Italy
Mona G. Ibrahim Egypt
Carey W. King United States
Qingchao Li China
Jingwen Zhang China
Weiwei Lü China
Chai Hoon Koo relative to Jinhui Jeanne Huang‬‬‬‬ China Jinhui Jeanne Huang‬‬‬‬'s profile →
Citations per field
00.5×2.8×
Jinhui Jeanne Huang‬‬‬‬ · 1×
Citations per year

Countries citing papers authored by Chai Hoon Koo

Since Specialization
Citations

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

Fields of papers citing papers by Chai Hoon Koo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chai Hoon Koo. 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 Chai Hoon Koo. The network helps show where Chai Hoon Koo may publish in the future.

Co-authorship network of co-authors of Chai Hoon Koo

This figure shows the co-authorship network connecting the top 25 collaborators of Chai Hoon Koo. A scholar is included among the top collaborators of Chai Hoon Koo 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 Chai Hoon Koo. Chai Hoon Koo 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
#WorkIndexed citations
1 0
2 0
3 1
4 0
5
A review of hybrid deep learning applications for streamflow forecastingbreakdown →
97
6 3
7 2
8 8
9 54
10 4
11 66
12 8
13 11
14 53
15 88
16 4
17 28
18 36
19 23
20 7

About Chai Hoon Koo

Chai Hoon Koo is a scholar working on Water Science and Technology, Environmental Engineering and Global and Planetary Change, having authored 87 papers that have together received 2.5k indexed citations. Recurring topics across this work include Membrane Separation Technologies (26 papers), Hydrological Forecasting Using AI (25 papers) and Hydrology and Watershed Management Studies (14 papers). The work is most often cited by research in Water Science and Technology (1.0k citations), Environmental Engineering (728 citations) and Global and Planetary Change (809 citations). Chai Hoon Koo has collaborated with scholars based in Malaysia, United Arab Emirates and Iraq. Frequent co-authors include Yuk Feng Huang, Min Yan Chia, Woon Chan Chong, Ahmed El‐Shafie, Ali Najah Ahmed, Abdul Wahab Mohammad, Yean Ling Pang, Fatihah Sujá, Zeng Wei Heng and Meor Zainal Meor Talib. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Scientific Reports.

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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