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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:

Improved monthly runoff time series prediction using the SOA–SVM model based on ICEEMDAN–WD decomposition
Dong-mei Xu, Xiang Wang, Wenchuan Wang, et al.
Journal of Hydroinformatics (2023) Vol. 25, Iss. 3, pp. 943-970
Open Access | Times Cited: 24

Showing 24 citing articles:

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: 1
A new hybrid model for monthly runoff prediction using ELMAN neural network based on decomposition-integration structure with local error correction method
Dongmei Xu, Xiao-xue Hu, Wenchuan Wang, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121719-121719
Closed Access | Times Cited: 34
An ensemble model for monthly runoff prediction using least squares support vector machine based on variational modal decomposition with dung beetle optimization algorithm and error correction strategy
Dongmei Xu, Zong Li, Wenchuan Wang
Journal of Hydrology (2023) Vol. 629, pp. 130558-130558
Closed Access | Times Cited: 32
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
DTTR: Encoding and decoding monthly runoff prediction model based on deep temporal attention convolution and multimodal fusion
Wenchuan Wang, Wei-can Tian, Xiao-xue Hu, et al.
Journal of Hydrology (2024) Vol. 643, pp. 131996-131996
Closed Access | Times Cited: 13
A novel machine learning-based framework for the water quality parameters prediction using hybrid long short-term memory and locally weighted scatterplot smoothing methods
Ana Dodig, Elisa Ricci, Goran Kvaščev, et al.
Journal of Hydroinformatics (2024) Vol. 26, Iss. 5, pp. 1059-1079
Open Access | Times Cited: 8
Dynamic real-time forecasting technique for reclaimed water volumes in urban river environmental management
Lina Zhang, Chao Wang, Wenbin Hu, et al.
Environmental Research (2024) Vol. 248, pp. 118267-118267
Closed Access | Times Cited: 7
Improved monthly runoff time series prediction using the CABES-LSTM mixture model based on CEEMDAN-VMD decomposition
Dong-mei Xu, An-dong Liao, Wenchuan Wang, et al.
Journal of Hydroinformatics (2023) Vol. 26, Iss. 1, pp. 255-283
Open Access | Times Cited: 19
Monthly runoff prediction using gated recurrent unit neural network based on variational modal decomposition and optimized by whale optimization algorithm
Wenchuan Wang, Bo Wang, Kwok‐wing Chau, et al.
Environmental Earth Sciences (2024) Vol. 83, Iss. 2
Closed Access | Times Cited: 5
Anston: An Attention Mechanism Network Model for Structured Data Classification
Feng Zhou, Shijing Hu, Xiaozheng Du, et al.
Research Square (Research Square) (2025)
Open Access
WaveTransTimesNet: an enhanced deep learning monthly runoff prediction model based on wavelet transform and transformer architecture
Dongmei Xu, Zong Li, Wenchuan Wang, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Closed Access
The CEEMDAN-EWT-CNN-GRU-SVM Model: A Robust Framework for Decomposing Non-Stationary Time Series, Extracting Data features, and Predicting Solar Radiation
Sharareh Pourebrahim, Akram Seifi, Mohammad Ehteram, et al.
Results in Engineering (2025), pp. 104267-104267
Open Access
Innovative Approach to Dam Deformation Analysis: Integration of VMD, Fractal Theory, and WOA-DELM
Bin Ou, Caiyi Zhang, Bo Xu, et al.
Structural Control and Health Monitoring (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 4
A novel fast and efficient adaptive shuffled complex evolution algorithm for model parameter calibration
Junxiang Liu, Haicheng Hong, Weinan Fan, et al.
Frontiers in Environmental Science (2024) Vol. 11
Open Access | Times Cited: 3
Empirical-singular-wavelet based machine learning models for sea level forecasting in the bosphorus strait: A performance analysis
Elif Kartal, Abdüsselam Altunkaynak
Ocean Modelling (2024) Vol. 188, pp. 102324-102324
Closed Access | Times Cited: 3
A combined optimization prediction model for earth-rock dam seepage pressure using multi-machine learning fusion with decomposition data-driven
Bo Liu, Weijun Cen, Changhai Zheng, et al.
Expert Systems with Applications (2023) Vol. 242, pp. 122798-122798
Closed Access | Times Cited: 8
Comparison of parameter optimization methods for a runoff forecast model based on a support vector machine
Yerong Zhou, Jidong Li, Guangwen Ma, et al.
Physics and Chemistry of the Earth Parts A/B/C (2024) Vol. 135, pp. 103653-103653
Closed Access | Times Cited: 2
A singular spectrum analysis-enhanced BiTCN-selfattention model for runoff prediction
Wenchuan Wang, Feng-rui Ye, Yiyang Wang, et al.
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access | Times Cited: 1
An Index Used to Evaluate the Applicability of Mid-to-Long-Term Runoff Prediction in a Basin Based on Mutual Information
Shuai Xie, Zhilong Xiang, Yongqiang Wang, et al.
Water (2024) Vol. 16, Iss. 11, pp. 1619-1619
Open Access
Improved monthly runoff time series prediction by integrating ICCEMDAN and SWD with ELM
Huifang Wang, Xuehua Zhao, Qiucen Guo, et al.
Research Square (Research Square) (2024)
Closed Access
Research on High-Quality Factor Sensing Characteristics of All-Dielectric Nanopore Array Metasurface Based on POA-DELM
Ying Chen, Weiqiang Li, Guoting Zhao, et al.
Physica Scripta (2024) Vol. 99, Iss. 11, pp. 115550-115550
Closed Access
Tunable diode laser absorption spectroscopy signal denoising based on multi-resolution singular value decomposition and improved complete ensemble empirical mode decomposition with adaptive noise optimized by the improved crested porcupine optimizer algorithm
Lingling Kan, Rui Nie, Hongwei Liang, et al.
Optical Engineering (2024) Vol. 63, Iss. 12
Closed Access
Enhancing sediment load predictions: a comparative analysis of local and global fuzzy cerebellar model articulation controller (FCMAC)
Negin Behnia, Mehdi Hayatzadeh, Mahin Fooladi Doghozlo
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access
A stacking ensemble machine learning model for improving monthly runoff prediction
Wenchuan Wang, M. H. Gu, Zong Li, et al.
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access
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