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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:

Comparative study of machine learning methods and GR2M model for monthly runoff prediction
Pakorn Ditthakit, Sirimon Pinthong, Nureehan Salaeh, et al.
Ain Shams Engineering Journal (2022) Vol. 14, Iss. 4, pp. 101941-101941
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Spatio-temporal deep learning model for accurate streamflow prediction with multi-source data fusion
Zhaocai Wang, Nannan Xu, Xiaoguang Bao, et al.
Environmental Modelling & Software (2024) Vol. 178, pp. 106091-106091
Closed Access | Times Cited: 41
A compound approach for ten-day runoff prediction by coupling wavelet denoising, attention mechanism, and LSTM based on GPU parallel acceleration technology
Yiyang Wang, Wenchuan Wang, Dongmei Xu, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 2, pp. 1281-1299
Closed Access | Times Cited: 19
Runoff prediction using a multi-scale two-phase processing hybrid model
Xuehua Zhao, Huifang Wang, Qiucen Guo, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Closed Access | Times Cited: 2
A comparative study of data-driven models for runoff, sediment, and nitrate forecasting
Mohammad Zamani, Mohammad Reza Nikoo, Dana Rastad, et al.
Journal of Environmental Management (2023) Vol. 341, pp. 118006-118006
Closed Access | Times Cited: 35
Robust Runoff Prediction With Explainable Artificial Intelligence and Meteorological Variables From Deep Learning Ensemble Model
Junhao Wu, Zhaocai Wang, Jinghan Dong, et al.
Water Resources Research (2023) Vol. 59, Iss. 9
Closed Access | Times Cited: 34
Improving the forecasting accuracy of monthly runoff time series of the Brahmani River in India using a hybrid deep learning model
Sonali Swagatika, Jagadish Chandra Paul, Bibhuti Bhusan Sahoo, et al.
Journal of Water and Climate Change (2023) Vol. 15, Iss. 1, pp. 139-156
Open Access | Times Cited: 23
Prediction of agricultural drought index in a hot and dry climate using advanced hybrid machine learning
Mohsen Rezaei, Mehdi Azhdary Moghaddam, Gholamreza Azizyan, et al.
Ain Shams Engineering Journal (2024) Vol. 15, Iss. 5, pp. 102686-102686
Open Access | Times Cited: 10
Advanced Framework for Predicting Rainfall-Runoff: Comparative Evaluation of AI Models for Enhanced Forecasting Accuracy
Hadi Sanikhani, Mohammad Reza Nikpour, Fatemeh Jamshidi
Water Resources Management (2025)
Closed Access | Times Cited: 1
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: 28
Hydrological model parameter regionalization: Runoff estimation using machine learning techniques in the Tha Chin River Basin, Thailand
Phyo Thandar Hlaing, Usa Wannasingha Humphries, Muhammad Waqas
MethodsX (2024) Vol. 13, pp. 102792-102792
Open Access | Times Cited: 4
A new stable and interpretable flood forecasting model combining multi-head attention mechanism and multiple linear regression
Yiyang Wang, Wenchuan Wang, Kwok‐wing Chau, et al.
Journal of Hydroinformatics (2023) Vol. 25, Iss. 6, pp. 2561-2588
Open Access | Times Cited: 10
Integrating gridded precipitation data and machine learning for enhancing drought prediction in Iraq
Ali H. Ahmed Suliman, Taymoor A. Awchi, Shamsuddin Shahid
Modeling Earth Systems and Environment (2025) Vol. 11, Iss. 3
Closed Access
An IoT and machine learning solutions for monitoring agricultural water quality: a robust framework
Mushtaque Ahmed Rahu, Muhammad Mujtaba Shaikh, Sarang Karim, et al.
Mehran University Research Journal of Engineering and Technology (2023) Vol. 43, Iss. 1, pp. 192-192
Open Access | Times Cited: 7
Assessment of monthly hydroclimatic patterns and rainfall-runoff modeling for hydrometric forecasting in the Upper Inaouene Basin, Northern Morocco
Said El Boute, Aïman Hili, Abdessamad Hilali, et al.
Modeling Earth Systems and Environment (2024) Vol. 10, Iss. 5, pp. 6539-6573
Closed Access | Times Cited: 2
Incorporating Recursive Feature Elimination and Decomposed Ensemble Modeling for Monthly Runoff Prediction
Wei Ma, Zhang Xiao, Yu Shen, et al.
Water (2024) Vol. 16, Iss. 21, pp. 3102-3102
Open Access | Times Cited: 2
Combining Long-Short Term Memory and Genetic Programming for Monthly Rainfall Downscaling in Southern Thailand's Thale Sap Songkhla River Basin
Sirimon Pinthong, Pakorn Ditthakit, Nureehan Salaeh, et al.
Engineered Science (2023)
Open Access | Times Cited: 5
Improving Multivariate Runoff Prediction Through Multistage Novel Hybrid Models
Muhammad Sibtain, Xianshan Li, Fei Li, et al.
Water Resources Management (2024) Vol. 38, Iss. 7, pp. 2545-2564
Open Access | Times Cited: 1
Streamflow forecast model using ANN
Durlav Sonowal, Trinayan Saharia, Ratul Kumar Baruah, et al.
Journal of Applied Water Engineering and Research (2024) Vol. 12, Iss. 3, pp. 311-321
Closed Access | Times Cited: 1
A Review of the Application of Artificial Intelligence in Watershed Management
S. Satheeshkumar, R. Ravi
Water science and technology library (2024), pp. 371-377
Closed Access | Times Cited: 1
Two-step hybrid model for monthly runoff prediction utilizing integrated machine learning algorithms and dual signal decompositions
Shujun Wu, Zengchuan Dong, Sandra M. Guzmán, et al.
Ecological Informatics (2024), pp. 102914-102914
Open Access | Times Cited: 1
Utilizing Machine Learning to Estimate Monthly Streamflow in Ungauged Basins of Thailand's Southern Basin
Nureehan Salaeh, Pakorn Ditthakit, Sirimon Pinthong, et al.
Physics and Chemistry of the Earth Parts A/B/C (2024), pp. 103840-103840
Closed Access | Times Cited: 1
Comparison of Multilayer Perceptron with an Optimal Activation Function and Long Short-Term Memory for Rainfall-Runoff Simulations and Ungauged Catchment Runoff Prediction
Mun-Ju Shin, Yong Jung
Water Resources Management (2024)
Closed Access | Times Cited: 1
Comparative Study of Coupling Models of Feature Selection Methods and Machine Learning Techniques for Predicting Monthly Reservoir Inflow
Jakkarin Weekaew, Pakorn Ditthakit, Quoc Bao Pham, et al.
Water (2022) Vol. 14, Iss. 24, pp. 4029-4029
Open Access | Times Cited: 4
High-Performance Forecasting of Spring Flood in Mountain River Basins with Complex Landscape Structure
Yuri B. Kirsta, Irina A. Troshkova
Water (2023) Vol. 15, Iss. 6, pp. 1080-1080
Open Access | Times Cited: 2
Estimation of possible extreme droughts for a dam catchment in Korea using a regional-scale weather model and long short-term memory network
Mun-Ju Shin, Yong Jung
Hydrology Research (2023) Vol. 54, Iss. 10, pp. 1299-1314
Open Access | Times Cited: 1
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