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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Modelling of River Flow Using Particle Swarm Optimized Cascade-Forward Neural Networks: A Case Study of Kelantan River in Malaysia
Gasim Hayder, Mahmud Iwan Solihin, Hauwa Mohammed Mustafa
Applied Sciences (2020) Vol. 10, Iss. 23, pp. 8670-8670
Open Access | Times Cited: 23

Showing 23 citing articles:

Comparison between Regression Models, Support Vector Machine (SVM), and Artificial Neural Network (ANN) in River Water Quality Prediction
Nur Najwa Mohd Rizal, Gasim Hayder, Mohammed Mnzool, et al.
Processes (2022) Vol. 10, Iss. 8, pp. 1652-1652
Open Access | Times Cited: 38
Comparative Analysis of Convolutional Neural Network-Long Short-Term Memory, Sparrow Search Algorithm-Backpropagation Neural Network, and Particle Swarm Optimization-Extreme Learning Machine Models for the Water Discharge of the Buzău River, Romania
Zhen Liu, Alina Bărbulescu
Water (2024) Vol. 16, Iss. 2, pp. 289-289
Open Access | Times Cited: 9
Genetic-Algorithm-Based Neural Network for Fault Detection and Diagnosis: Application to Grid-Connected Photovoltaic Systems
Amal Hichri, Mansour Hajji, Majdi Mansouri, et al.
Sustainability (2022) Vol. 14, Iss. 17, pp. 10518-10518
Open Access | Times Cited: 35
Applications of IoT and Artificial Intelligence in Water Quality Monitoring and Prediction: A Review
Hauwa Mohammed Mustafa, Aisha Mustapha, Gasim Hayder, et al.
(2021), pp. 968-975
Closed Access | Times Cited: 34
An Optimized Approach for Predicting Water Quality Features Based on Machine Learning
Nur Afyfah Suwadi, Morched Derbali, Nor Samsiah Sani, et al.
Wireless Communications and Mobile Computing (2022) Vol. 2022, pp. 1-20
Open Access | Times Cited: 26
Forecasting Daily Flood Water Level Using Hybrid Advanced Machine Learning Based Time-Varying Filtered Empirical Mode Decomposition Approach
Mehdi Jamei, Mumtaz Ali, Anurag Malik, et al.
Water Resources Management (2022) Vol. 36, Iss. 12, pp. 4637-4676
Closed Access | Times Cited: 24
Application of Artificial Intelligence Techniques for the Determination of Groundwater Level Using Spatio–Temporal Parameters
Amirhossein Najafabadipour, Gholamreza Kamali, Hossein Nezamabadi‐pour
ACS Omega (2022) Vol. 7, Iss. 12, pp. 10751-10764
Open Access | Times Cited: 23
Multi-step-ahead prediction of river flow using NARX neural networks and deep learning LSTM
Gasim Hayder, Mahmud Iwan Solihin, M. R. N. Najwa
H2Open Journal (2022) Vol. 5, Iss. 1, pp. 43-60
Open Access | Times Cited: 19
Water Quality Predictive Analytics Using an Artificial Neural Network with a Graphical User Interface
Nur Najwa Mohd Rizal, Gasim Hayder, Khairul Adib Yusof
Water (2022) Vol. 14, Iss. 8, pp. 1221-1221
Open Access | Times Cited: 16
Short-term wave power forecasting with hybrid multivariate variational mode decomposition model integrated with cascaded feedforward neural networks
Mumtaz Ali, Ramendra Prasad, Mehdi Jamei, et al.
Renewable Energy (2023) Vol. 221, pp. 119773-119773
Closed Access | Times Cited: 10
Fuzzy Logic Approach for Maximum Power Point Tracking Implemented in a Real Time Photovoltaic System
Cristian Napole, Mohamed Derbeli, Óscar Barambones
Applied Sciences (2021) Vol. 11, Iss. 13, pp. 5927-5927
Open Access | Times Cited: 22
A Modified Particle Swarm Optimization Algorithm for Optimizing Artificial Neural Network in Classification Tasks
Koon Meng Ang, Cher En Chow, El-Sayed M. El-kenawy, et al.
Processes (2022) Vol. 10, Iss. 12, pp. 2579-2579
Open Access | Times Cited: 13
A novel framework for the evaluation of coastal protection schemes through integration of numerical modelling and artificial intelligence into the Sand Engine App
Pavitra Kumar, Nicoletta Leonardi
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 6
deforce: Derivative-free algorithms for optimizing Cascade Forward Neural Networks
Nguyen Van Thieu, Hoang Nguyen, Harish Garg, et al.
Software Impacts (2024) Vol. 21, pp. 100675-100675
Closed Access | Times Cited: 2
Performance Evaluation of Hydroponic Wastewater Treatment Plant Integrated with Ensemble Learning Techniques: A Feature Selection Approach
Hauwa Mohammed Mustafa, Gasim Hayder, Sani I. Abba, et al.
Processes (2023) Vol. 11, Iss. 2, pp. 478-478
Open Access | Times Cited: 6
A Performance Comparison of Various Artificial Intelligence Approaches for Estimation of Sediment of River Systems
Gasim Hayder, Mahmud Iwan Solihin, Khairul Faizal Kushiar
Journal of Ecological Engineering (2021) Vol. 22, Iss. 7, pp. 20-27
Open Access | Times Cited: 11
Spatio-temporal analysis of COVID-19 lockdown effect to survive in the US counties using ANN
Reyhane Jalali, Hossein Etemadfard
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Echo State Network and Sparrow Search: Echo State Network for Modeling the Monthly River Discharge of the Biggest River in Buzău County, Romania
Zhen Liu, Alina Bărbulescu
Water (2024) Vol. 16, Iss. 20, pp. 2916-2916
Open Access | Times Cited: 1
The Potential of Machine Learning for Tackling Flood Disaster in Monrovia
Ansumana Abraham Bility, Fidan Aslanova, Gözen Elkiran
Lecture notes in networks and systems (2024), pp. 55-67
Closed Access
Data‐driven artificial intelligence‐based streamflow forecasting, a review of methods, applications, and tools
Heerbod Jahanbani, Khandakar Ahmed, Bruce Gu
JAWRA Journal of the American Water Resources Association (2024)
Open Access
A robust wrapper-based feature selection technique based on modified teaching learning based optimization with hierarchical learning scheme
Li Pan, Wy-Liang Cheng, Wei Hong Lim, et al.
Engineering Science and Technology an International Journal (2024) Vol. 61, pp. 101935-101935
Closed Access
A Comparison of Machine Learning and Deep Learning in Hyperspectral Image Classification
Fady Mohamed Sadek, Mahmud Iwan Solihin, Fahri Heltha, et al.
Lecture notes in electrical engineering (2022), pp. 221-235
Closed Access | Times Cited: 1
Towards Estimating Rainfall Using Cellular Phone Signal
Chun Yin Low, Mahmud Iwan Solihin, Yanto Yanto, et al.
2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) (2022), pp. 1-6
Closed Access | Times Cited: 1
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