Po Chan Chiu

410 citations
39 papers · 237 indexed · h-index 10
Topics
Hydrological Forecasting Using AI (9 papers)Hydrology and Watershed Management Studies (9 papers)Flood Risk Assessment and Management (8 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessJournal of Heat Transfer

In The Last Decade

Po Chan Chiu

29 papers receiving 227 citations

Peers

Po Chan Chiu
Comparison fields: 5 of 74
  • Water Science and Technology 72
  • Environmental Engineering 60
  • Global and Planetary Change 49
  • Soil Science 41
  • Artificial Intelligence 39
Replace Moh. Sholichin with:
Moh. Sholichin Indonesia
Namal Rathnayake Japan
Mazen Ismaeel Ghareb Iraq
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Minghuan Liu China
Christopher Martinez United States
Kaywan Othman Ahmed Iraq
Siraj Muhammed Pandhiani Saudi Arabia
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Po Chan Chiu relative to Moh. Sholichin Indonesia Moh. Sholichin's profile →
Citations per field
00.5×4.3×
Moh. Sholichin · 1×
Citations per year

Countries citing papers authored by Po Chan Chiu

Since Specialization
Citations

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

Fields of papers citing papers by Po Chan Chiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Po Chan Chiu. 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 Po Chan Chiu. The network helps show where Po Chan Chiu may publish in the future.

Co-authorship network of co-authors of Po Chan Chiu

This figure shows the co-authorship network connecting the top 25 collaborators of Po Chan Chiu. A scholar is included among the top collaborators of Po Chan Chiu 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 Po Chan Chiu. Po Chan Chiu 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
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2 0
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5 0
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8 3
9 21
10 14
11 0
12 9
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14 45
15 2
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Hourly runoff forecast at different lead-time for a small watershed using artificial neural networks
6
18
Relationship Between Storage Coefficient and Catchment Area Using HEC-HMS for Southern Region of Sarawak
1
19
Evaluation of daily rainfall-runoff model using multilayer perceptron and particle swarm optimization feed forward neural networks
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20 1

About Po Chan Chiu

Po Chan Chiu is a scholar working on Water Science and Technology, Environmental Engineering and Ocean Engineering, having authored 39 papers that have together received 237 indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (9 papers), Hydrology and Watershed Management Studies (9 papers) and Flood Risk Assessment and Management (8 papers). The work is most often cited by research in Water Science and Technology (72 citations), Soil Science (41 citations) and Environmental Engineering (60 citations). Po Chan Chiu has collaborated with scholars based in Malaysia, United States and Czechia. Frequent co-authors include King Kuok Kuok, Darrien Yau Seng Mah, Ondřej Krejcar, Ali Selamat, Sobri Harun, Kuok King Kuok, Hamido Fujita, Md. Rezaur Rahman, Muhammad Khusairy Bin Bakri and Lim Kok Cheng. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Journal of Heat Transfer.

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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