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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:

Optimized Model Inputs Selections for Enhancing River Streamflow Forecasting Accuracy Using Different Artificial Intelligence Techniques
Yahia Mutalib Tofiq, Sarmad Dashti Latif, Ali Najah Ahmed, et al.
Water Resources Management (2022) Vol. 36, Iss. 15, pp. 5999-6016
Closed Access | Times Cited: 18

Showing 18 citing articles:

A Hybrid CNN-LSTM Approach for Monthly Reservoir Inflow Forecasting
Saeed Khorram, Nima Jehbez
Water Resources Management (2023) Vol. 37, Iss. 10, pp. 4097-4121
Closed Access | Times Cited: 37
A Comparative Study on Forecasting of Long-term Daily Streamflow using ANN, ANFIS, BiLSTM and CNN-GRU-LSTM
Sajjad M. Vatanchi, Hossein Etemadfard, Mahmoud F. Maghrebi, et al.
Water Resources Management (2023) Vol. 37, Iss. 12, pp. 4769-4785
Closed Access | Times Cited: 34
Suspended sediment load prediction modelling based on artificial intelligence methods: The tropical region as a case study
Mohammed Falah Allawi, Sadeq Oleiwi Sulaiman, Khamis Naba Sayl, et al.
Heliyon (2023) Vol. 9, Iss. 8, pp. e18506-e18506
Open Access | Times Cited: 26
Innovative approaches to surface water quality management: advancing nitrate (NO3) forecasting with hybrid CNN-LSTM and CNN-GRU techniques
Sina Davoudi, Kiyoumars Roushangar
Modeling Earth Systems and Environment (2025) Vol. 11, Iss. 2
Closed Access | Times Cited: 1
Evaluation of the support vector regression (SVR) and the random forest (RF) models accuracy for streamflow prediction under a data-scarce basin in Morocco
Bouchra Bargam, Abdelghani Boudhar, Christophe Kinnard, et al.
Deleted Journal (2024) Vol. 6, Iss. 6
Open Access | Times Cited: 8
A novel application of transformer neural network (TNN) for estimating pan evaporation rate
Mustafa Abed, Monzur Alam Imteaz, Ali Najah Ahmed, et al.
Applied Water Science (2022) Vol. 13, Iss. 2
Open Access | Times Cited: 27
Improving sea level prediction in coastal areas using machine learning techniques
Sarmad Dashti Latif, Mohammad Abdullah Almubaidin, Chua Guang Shen, et al.
Ain Shams Engineering Journal (2024) Vol. 15, Iss. 9, pp. 102916-102916
Open Access | Times Cited: 4
A pioneering approach to deterministic rainfall forecasting for wet period in the Northern Territory of Australia using machine learning
Rashid Farooq, Monzur Alam Imteaz, Fatemeh Mekanik
Earth Science Informatics (2025) Vol. 18, Iss. 2
Open Access
Extreme learning machine coupled with Heuristic algorithms for daily streamflow modeling at Lake Ziway Watershed, Ethiopia
Gebre Gelete, Hüseyin Gökçekuş, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, et al.
Journal of Hydrology (2025), pp. 133345-133345
Closed Access
Monthly River Discharge Forecasting Using Hybrid Models Based on Extreme Gradient Boosting Coupled with Wavelet Theory and Lévy–Jaya Optimization Algorithm
Jincheng Zhou, Dan Wang, Shahab S. Band, et al.
Water Resources Management (2023) Vol. 37, Iss. 10, pp. 3953-3972
Closed Access | Times Cited: 9
Modeling soil loss under rainfall events using machine learning algorithms
Yulan Chen, Jianjun Li, Ziqi Zhang, et al.
Journal of Environmental Management (2024) Vol. 352, pp. 120004-120004
Closed Access | Times Cited: 2
Predicting soil loss in small watersheds under different emission scenarios from CMIP6 using random forests
Yulan Chen, Nan Wang, Juying Jiao, et al.
Earth Surface Processes and Landforms (2024)
Closed Access | Times Cited: 2
Short-term Prediction Method of Reservoir Downstream Water Level Under Complicated Hydraulic Influence
Jingwei Huang, Hui Qin, Yongchuan Zhang, et al.
Water Resources Management (2023) Vol. 37, Iss. 11, pp. 4475-4490
Closed Access | Times Cited: 6
Application of data-driven models to predict the dimensions of flow separation zone
Amin Gharehbaghi, Redvan Ghasemlounıa, Sarmad Dashti Latif, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 24, pp. 65572-65586
Open Access | Times Cited: 4
Machine Learning Approaches for Streamflow Modeling in the Godavari Basin with CMIP6 Dataset
Subbarayan Saravanan, Nagireddy Masthan Reddy, Quoc Bao Pham, et al.
Sustainability (2023) Vol. 15, Iss. 16, pp. 12295-12295
Open Access | Times Cited: 4
Scalable and Interpretable Forecasting of Hydrological Time Series Based on Variational Gaussian Processes
Julián David Pastrana-Cortés, Julian Gil-González, Andrés Marino Álvarez-Meza, et al.
Water (2024) Vol. 16, Iss. 14, pp. 2006-2006
Open Access
Scalable and Interpretable Forecasting of Hydrological Time-Series based on Variational Gaussian Processes
Julián David Pastrana-Cortés, Julián Gil-González, Andrés Marino Álvarez-Meza, et al.
(2024)
Open Access
Prediction of maximum scour depth in river bends by the Stacking model
Junfeng Chen, Zhou Xiao-quan, Lirong Xiao, et al.
Journal of Hydroinformatics (2023) Vol. 25, Iss. 6, pp. 2625-2642
Open Access
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