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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:

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

Showing 11 citing articles:

Prediction of COD in industrial wastewater treatment plant using an artificial neural network
Özgül Çimen Mesutoğlu, Oğuzhan Gök
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
River Water Suspended Sediment Predictive Analytics Using Artificial Neural Network and Convolutional Neural Network Approach: A Review
Qaiser uz Zaman Khan, Gasim Hayder, Faiq M. S. Al-Zwainy
Advances in Science, Technology & Innovation/Advances in science, technology & innovation (2023), pp. 51-56
Closed Access | Times Cited: 5
Prediction of COD in Industrial Wastewater Treatment Plant using Artificial Neural Network
Özgül Çimen Mesutoğlu, Oğuzhan Gök
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Performance Prediction of COD in Industrial Wastewater Treatment Plant using an Artificial Neural Network
Özgül Çimen Mesutoğlu, Oğuzhan Gök
Research Square (Research Square) (2024)
Open Access
Prediction of COD in Industrial Wastewater Treatment Plant using an Artificial Neural Network
Özgül Çimen Mesutoğlu, Oğuzhan Gök
Research Square (Research Square) (2024)
Open Access
Development of Flood Inundation Mapping by Using Optimized Deep Learning Model
Nico Halisno, Mahmud Iwan Solihin, Eriko Nasemudin Nasser, et al.
(2024), pp. 1-6
Closed Access
Data-driven approaches for estimation of sediment discharge in rivers
Marwan Kheimi
Earth Science Informatics (2023) Vol. 17, Iss. 1, pp. 761-781
Closed Access | Times Cited: 1
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
Multi-Step Ahead Time-Series Forecasting of Sediment Load Using NARX Neural Networks
Mahmud Iwan Solihin, Gasim Hayder, Haris Al-Qodri Maarif, et al.
Advances in Science, Technology & Innovation/Advances in science, technology & innovation (2023), pp. 45-50
Closed Access
Developing NARX Neural Networks for Accurate Water Level Forecasting
Hidayah Basri, M Amin Nizar C. A. Razak, Lariyah Mohd Sidek
Water resources development and management (2023), pp. 847-853
Closed Access
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