Kwok‐wing Chau

31.8k citations

370 papers · 24.8k indexed · 6 hit papers · h-index 91

Environmental Engineering top 0.01%
Water Science and Technology top 0.02%
Global and Planetary Change top 0.2%
Electrical and Electronic Engineering top 1%
Artificial Intelligence top 0.2%

Co-authors: C.L. Wu Wenchuan Wang Shahaboddin Shamshirband Chuntian Cheng Riccardo Taormina Ashkan Nabavi‐Pelesaraei Amir Mosavi Y. S. Li
Topics: Hydrological Forecasting Using AI (102 papers)Hydrology and Watershed Management Studies (92 papers)Flood Risk Assessment and Management (46 papers)
Cited by: Environmental Engineering Water Science and Technology Global and Planetary Change
Journals: SHILAP Revista de lepidopterologíaRenewable and Sustainable Energy Reviews The Science of The Total Environment
Partner nations: Hong Kong Iran China

In The Last Decade

Kwok‐wing Chau

363 papers receiving 24.1k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series

2009 672 citations Wenchuan Wang, Kwok‐wing Chau et al. profile →
An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research direction

2018 550 citations Kwok‐wing Chau et al. profile →
Improving Forecasting Accuracy of Annual Runoff Time Series Using ARIMA Based on EEMD Decomposition

2015 474 citations Wenchuan Wang, Kwok‐wing Chau et al. profile →
Survey of computational intelligence as basis to big flood management: challenges, research directions and future work

2018 292 citations Shahaboddin Shamshirband, Kwok‐wing Chau et al. Engineering Applications of Computational Fluid Mechanics profile →
Coupling a firefly algorithm with support vector regression to predict evaporation in northern Iran

2018 272 citations Shahaboddin Shamshirband, Kwok‐wing Chau et al. Engineering Applications of Computational Fluid Mechanics profile →
Application of a PSO-based neural network in analysis of outcomes of construction claims

2007 227 citations Kwok‐wing Chau profile →

Peers

Countries citing papers authored by Kwok‐wing Chau

Since Specialization

Citations

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

Fields of papers citing papers by Kwok‐wing Chau

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kwok‐wing Chau. 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 Kwok‐wing Chau. The network helps show where Kwok‐wing Chau may publish in the future.

Co-authorship network of co-authors of Kwok‐wing Chau

This figure shows the co-authorship network connecting the top 25 collaborators of Kwok‐wing Chau. A scholar is included among the top collaborators of Kwok‐wing Chau 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 Kwok‐wing Chau. Kwok‐wing Chau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Integrating of Bayesian model averaging and formal likelihood function to enhance groundwater process modeling in arid environments 2024 ·Ain Shams Engineering Journal ·(unknown),(unknown),Mohsen Pourreza‐Bilondi,Kwok‐wing Chau	0
2	A new hybrid model for monthly runoff prediction using ELMAN neural network based on decomposition-integration structure with local error correction method 2023 ·Expert Systems with Applications ·Dongmei Xu,Xiao-xue Hu,Wenchuan Wang,Kwok‐wing Chau,Hong-fei Zang,Jun Wang	44
3	Multi-Reservoir Flood Control Operation Using Improved Bald Eagle Search Algorithm with ε Constraint Method 2023 ·Water ·Wenchuan Wang,(unknown),Kwok‐wing Chau,Hong-fei Zang,(unknown),Zhong-kai Feng,Dongmei Xu	15
4	Accurate Discharge Coefficient Prediction of Streamlined Weirs by Coupling Linear Regression and Deep Convolutional Gated Recurrent Unit 2022 ·OSF Preprints (OSF Preprints) ·(unknown),Danial Sharifrazi,Guoxi Liang,Shahab S. Band,Kwok‐wing Chau,Amir Mosavi	6
5	Accurate discharge coefficient prediction of streamlined weirs by coupling linear regression and deep convolutional gated recurrent unit 2022 ·Engineering Applications of Computational Fluid Mechanics ·Weibin Chen,Danial Sharifrazi,Guoxi Liang,Shahab S. Band,Kwok‐wing Chau,Amir Mosavi	23
6	Monthly and seasonal hydrological drought forecasting using multiple extreme learning machine models 2022 ·Engineering Applications of Computational Fluid Mechanics ·(unknown),Qian Zhang,Shahab S. Band,Majid Dehghani,Kwok‐wing Chau,Tho Quan,Senlin Zhu,Saeed Samadianfard,Amir Mosavi	26
7	Numerical investigation of magnetic field on forced convection heat transfer and entropy generation in a microchannel with trapezoidal ribs 2021 ·Engineering Applications of Computational Fluid Mechanics ·(unknown),(unknown),Alexei Valerievich Yumashev,Dariush Bahrami,Rasool Kalbasi,Mehdi Jahangiri,Arash Karimipour,Shahab S. Band,Kwok‐wing Chau,Amir Mosavi	19
8	Forecasting the discharge capacity of inflatable rubber dams using hybrid machine learning models 2021 ·Engineering Applications of Computational Fluid Mechanics ·Wenyu Zheng,Shahab S. Band,Hojat Karami,(unknown),Saeed Samadianfard,Sadra Shadkani,Kwok‐wing Chau,Amir Mosavi	9
9	Groundwater level prediction in arid areas using wavelet analysis and Gaussian process regression 2021 ·Engineering Applications of Computational Fluid Mechanics ·Shahab S. Band,Essam Heggy,Sayed M. Bateni,Hojat Karami,(unknown),Saeed Samadianfard,Kwok‐wing Chau,Amir Mosavi	72
10	Machine learning based marine water quality prediction for coastal hydro-environment management 2021 ·Journal of Environmental Management ·(unknown),Kwok‐wing Chau,Huan‐Feng Duan	172
11	A Comparison of BPNN, GMDH, and ARIMA for Monthly Rainfall Forecasting Based on Wavelet Packet Decomposition 2021 ·Water ·Wenchuan Wang,(unknown),Kwok‐wing Chau,Haitao Chen,Changjun Liu,Qiang Ma	37
12	Monthly streamflow prediction using a hybrid stochastic-deterministic approach for parsimonious non-linear time series modeling 2020 ·Engineering Applications of Computational Fluid Mechanics ·(unknown),(unknown),Keivan Khalili,Javad Behmanesh,Shahab S. Band,Amir Mosavi,Kwok‐wing Chau	16
13	Comparative analysis of hybrid models of firefly optimization algorithm with support vector machines and multilayer perceptron for predicting soil temperature at different depths 2020 ·Engineering Applications of Computational Fluid Mechanics ·Shahaboddin Shamshirband,(unknown),Davoud Zarehaghi,(unknown),Saeed Samadianfard,Mohammad Ali Ghorbani,Amir Mosavi,Narjes Nabipour,Kwok‐wing Chau	41
14	Estimating longitudinal dispersion coefficient in natural streams using empirical models and machine learning algorithms 2020 ·Engineering Applications of Computational Fluid Mechanics ·Katayoun Kargar,Saeed Samadianfard,(unknown),Narjes Nabipour,Shahaboddin Shamshirband,Amir Mosavi,Kwok‐wing Chau	86
15	Yin-Yang firefly algorithm based on dimensionally Cauchy mutation 2020 ·Expert Systems with Applications ·Wenchuan Wang,Lei Xu,Kwok‐wing Chau,Dongmei Xu	107
16	Use of optimization techniques for energy use efficiency and environmental life cycle assessment modification in sugarcane production 2019 ·Energy ·Ali Kaab,Mohammad Sharifi,Hossein Mobli,Ashkan Nabavi‐Pelesaraei,Kwok‐wing Chau	136
17	Integration of Advanced Soft Computing Techniques in Hydrological Predictions 2019 ·Atmosphere ·Kwok‐wing Chau	5
18	Sustainable Business Models: A Review 2019 ·Sustainability ·Saeed Nosratabadi,Amir Mosavi,(unknown),Edmundas Kazimieras Zavadskas,Andry Rakotonirainy,Kwok‐wing Chau	264
19	Sugarcane growth prediction based on meteorological parameters using extreme learning machine and artificial neural network 2018 ·Engineering Applications of Computational Fluid Mechanics ·Pezhman Taherei Ghazvinei,Hossein Hassanpour Darvishi,Amir Mosavi,Khamaruzaman B. Wan Yusof,Meysam Alizamir,Shahaboddin Shamshirband,Kwok‐wing Chau	99
20	Parallel discrete differential dynamic programming for multireservoir operation 2014 ·Environmental Modelling & Software ·Chuntian Cheng,Sen Wang,Kwok‐wing Chau,Xinyu Wu	79

About Kwok‐wing Chau

Kwok‐wing Chau is a scholar working on Environmental Engineering, Water Science and Technology and Global and Planetary Change, having authored 370 papers that have together received 24.8k indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (102 papers), Hydrology and Watershed Management Studies (92 papers) and Flood Risk Assessment and Management (46 papers). The work is most often cited by research in Environmental Engineering (9.3k citations), Water Science and Technology (7.5k citations) and Global and Planetary Change (5.3k citations). Kwok‐wing Chau has collaborated with scholars based in Hong Kong, Iran and China. Frequent co-authors include C.L. Wu, Wenchuan Wang, Shahaboddin Shamshirband, Chuntian Cheng, Riccardo Taormina, Ashkan Nabavi‐Pelesaraei, Amir Mosavi, Y. S. Li, Chunming Wu and Dong-mei Xu. Their work appears in journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and The Science of The Total Environment.

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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