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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:

Streamflow prediction using a hybrid methodology based on variational mode decomposition (VMD) and machine learning approaches
Farshad Ahmadi, Mansour Tohidi, Meysam Sadrianzade
Applied Water Science (2023) Vol. 13, Iss. 6
Open Access | Times Cited: 20

Showing 20 citing articles:

Ensemble learning using multivariate variational mode decomposition based on the Transformer for multi-step-ahead streamflow forecasting
Jinjie Fang, Linshan Yang, Xiaohu Wen, et al.
Journal of Hydrology (2024) Vol. 636, pp. 131275-131275
Closed Access | Times Cited: 17
Novel hybrid intelligence predictive model based on successive variational mode decomposition algorithm for monthly runoff series
Abbas Parsaie, Redvan Ghasemlounıa, Amin Gharehbaghi, et al.
Journal of Hydrology (2024) Vol. 634, pp. 131041-131041
Closed Access | Times Cited: 13
Quantitative improvement of streamflow forecasting accuracy in the Atlantic zones of Canada based on hydro-meteorological signals: A multi-level advanced intelligent expert framework
Mozhdeh Jamei, Mehdi Jamei, Mumtaz Ali, et al.
Ecological Informatics (2024) Vol. 80, pp. 102455-102455
Open Access | Times Cited: 10
Enhanced monthly streamflow prediction using an input–output bi-decomposition data driven model considering meteorological and climate information
Qiucen Guo, Xuehua Zhao, Yuhang Zhao, et al.
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 8, pp. 3059-3077
Closed Access | Times Cited: 5
Compound Hydrological Forecasting Model by Long Short-term Memory Network Coupled with Adaptive Mode Decomposition and Evolutionary Algorithm
Zhong-kai Feng, Wen-jie Liu, Wen-jing Niu, et al.
Water Resources Management (2025)
Closed Access
A Deformation Prediction Model for Concrete Dams Based on RSA-VMD-AttLSTM
Peng Liu, Hao Gu, Chongshi Gu, et al.
Buildings (2025) Vol. 15, Iss. 3, pp. 357-357
Open Access
MTV19ANet: A Multi-tier Visual Geometry Group 19 with Attention Network-Based Streamflow Prediction System
A. Shashank, P. Geetha, Jyothish Lal G, et al.
Water Resources Management (2025)
Closed Access
Decomposing streamflow for improved river flow prediction accuracy of machine learning models
Mostafa Elkurdy, Andrew Binns, Bahram Gharabaghi
International Journal of River Basin Management (2025), pp. 1-16
Closed Access
Hybrid machine learning models for groundwater level prediction in a snow‐dominated region: An evaluation of EEMD, VMD and EWT decomposition techniques
Kadir Gezici, Okan Mert Katipoğlu, Selim Şengül
Hydrological Processes (2024) Vol. 38, Iss. 5
Closed Access | Times Cited: 4
Short lead time standard precipitation index forecasting: Extreme learning machine and variational mode decomposition
Sabrina Ladouali, Okan Mert Katipoğlu, Mehdi Bahrami, et al.
Journal of Hydrology Regional Studies (2024) Vol. 54, pp. 101861-101861
Open Access | Times Cited: 3
Ensemble learning of decomposition-based machine learning models for multistep-ahead daily streamflow forecasting in northwest China
Haijiao Yu, Linshan Yang, Qi Feng, et al.
Hydrological Sciences Journal (2024) Vol. 69, Iss. 11, pp. 1501-1522
Closed Access | Times Cited: 2
Application of hydrological models in climate change framework for a river basin in India
Rishith Kumar Vogeti, K. Srinivasa Raju, D. Nagesh Kumar, et al.
Journal of Water and Climate Change (2023) Vol. 14, Iss. 9, pp. 3150-3165
Open Access | Times Cited: 6
Study on Landslide Displacement Prediction Considering Inducement under Composite Model Optimization
S.-H. Ye, Yu Liu, Kai Xie, et al.
Electronics (2024) Vol. 13, Iss. 7, pp. 1271-1271
Open Access | Times Cited: 1
Enhancing streamflow prediction in the Wujiang River basin: a two-stage decomposition approach with deep learning integration
Ruichao Zhao, Zhiwen Zheng
Journal of Water and Climate Change (2024) Vol. 15, Iss. 11, pp. 5683-5697
Open Access | Times Cited: 1
Machine learning approaches coupled with variational mode decomposition: a novel method for forecasting monthly reservoir inflows
Farshad Ahmadi, Redvan Ghasemlounıa, Amin Gharehbaghi
Earth Science Informatics (2023) Vol. 17, Iss. 1, pp. 745-760
Closed Access | Times Cited: 3
High-performance prediction model combining minimum redundancy maximum relevance, circulant spectrum analysis, and machine learning methods for daily and peak streamflow
Levent Latifoğlu, Esra Kaya
Theoretical and Applied Climatology (2023) Vol. 155, Iss. 1, pp. 621-643
Closed Access | Times Cited: 2
Trophic predictability analysis: Employing constancy and contingency – A case study of Ilam reservoir
Hamid Abdolabadi, Sarmad Dashti Latif
Journal of Cleaner Production (2024) Vol. 471, pp. 143325-143325
Closed Access
A novel optimized coupled runoff model is developed based on the concept of “decomposition-prediction-reconstruction”
Xianqi Zhang, Yupeng Zheng, Yang Yang, et al.
Environmental Earth Sciences (2024) Vol. 83, Iss. 22
Closed Access
Enhancing Streamflow Prediction Accuracy: A Comprehensive Analysis of Hybrid Neural Network Models with Runge–Kutta with Aquila Optimizer
Rana Muhammad Adnan, Mo Wang, Ahmed A. Ewees, et al.
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access
Development of a novel modeling framework based on weighted kernel extreme learning machine and ridge regression for streamflow forecasting
Arvin Samadi-Koucheksaraee, Xuefeng Chu
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
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