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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:

Daily runoff forecasting by deep recursive neural network
Jiang-Wei Zhang, Xiaohui Chen, Amirul Khan, et al.
Journal of Hydrology (2021) Vol. 596, pp. 126067-126067
Closed Access | Times Cited: 96

Showing 1-25 of 96 citing articles:

Study on optimization and combination strategy of multiple daily runoff prediction models coupled with physical mechanism and LSTM
Jun Guo, Yi Liu, Qiang Zou, et al.
Journal of Hydrology (2023) Vol. 624, pp. 129969-129969
Closed Access | Times Cited: 118
An ensemble CNN-LSTM and GRU adaptive weighting model based improved sparrow search algorithm for predicting runoff using historical meteorological and runoff data as input
Zhiyuan Yao, Zhaocai Wang, Dangwei Wang, et al.
Journal of Hydrology (2023) Vol. 625, pp. 129977-129977
Closed Access | Times Cited: 95
A review of hybrid deep learning applications for streamflow forecasting
Kin‐Wang Ng, Yuk Feng Huang, Chai Hoon Koo, et al.
Journal of Hydrology (2023) Vol. 625, pp. 130141-130141
Closed Access | Times Cited: 77
RR-Former: Rainfall-runoff modeling based on Transformer
Hanlin Yin, Zilong Guo, Xiuwei Zhang, et al.
Journal of Hydrology (2022) Vol. 609, pp. 127781-127781
Closed Access | Times Cited: 76
Real-time rainfall-runoff prediction using light gradient boosting machine coupled with singular spectrum analysis
Zhongjie Cui, Qing Xiaoxia, Hongxiang Chai, et al.
Journal of Hydrology (2021) Vol. 603, pp. 127124-127124
Closed Access | Times Cited: 65
Impacts of regional characteristics on improving the accuracy of groundwater level prediction using machine learning: The case of central eastern continental United States
Hejiang Cai, Haiyun Shi, Suning Liu, et al.
Journal of Hydrology Regional Studies (2021) Vol. 37, pp. 100930-100930
Open Access | Times Cited: 62
Toward improved lumped groundwater level predictions at catchment scale: Mutual integration of water balance mechanism and deep learning method
Hejiang Cai, Suning Liu, Haiyun Shi, et al.
Journal of Hydrology (2022) Vol. 613, pp. 128495-128495
Closed Access | Times Cited: 62
Short-term runoff prediction using deep learning multi-dimensional ensemble method
Guanjun Liu, Zhengyang Tang, Hui Qin, et al.
Journal of Hydrology (2022) Vol. 609, pp. 127762-127762
Closed Access | Times Cited: 59
Spatial-temporal flood inundation nowcasts by fusing machine learning methods and principal component analysis
Li‐Chiu Chang, Jia-Yi Liou, Fi‐John Chang
Journal of Hydrology (2022) Vol. 612, pp. 128086-128086
Closed Access | Times Cited: 59
Water clarity mapping of global lakes using a novel hybrid deep-learning-based recurrent model with Landsat OLI images
Yuan He, Zheng Lu, Weijia Wang, et al.
Water Research (2022) Vol. 215, pp. 118241-118241
Closed Access | Times Cited: 38
Assessing spatial connectivity effects on daily streamflow forecasting using Bayesian-based graph neural network
Guanjun Liu, Shuo Ouyang, Hui Qin, et al.
The Science of The Total Environment (2022) Vol. 855, pp. 158968-158968
Closed Access | Times Cited: 38
A quantile-based encoder-decoder framework for multi-step ahead runoff forecasting
Mohammad Sina Jahangir, John You, John Quilty
Journal of Hydrology (2023) Vol. 619, pp. 129269-129269
Closed Access | Times Cited: 36
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: 31
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
Applications and interpretations of different machine learning models in runoff and sediment discharge simulations
Jindian Miao, Xiaoming Zhang, Guojun Zhang, et al.
CATENA (2024) Vol. 238, pp. 107848-107848
Closed Access | Times Cited: 9
Understanding Rainfall Distribution Characteristics over the Vietnamese Mekong Delta: A Comparison between Coastal and Inland Localities
Huỳnh Vương Thu Minh, Bui Thi Bich Lien, Dang Thi Hong Ngoc, et al.
Atmosphere (2024) Vol. 15, Iss. 2, pp. 217-217
Open Access | Times Cited: 8
A novel insight on input variable and time lag selection in daily streamflow forecasting using deep learning models
Amina Khatun, M.N. Nisha, Siddharth G. Chatterjee, et al.
Environmental Modelling & Software (2024) Vol. 179, pp. 106126-106126
Closed Access | Times Cited: 8
A Performance Comparison Study on Climate Prediction in Weifang City Using Different Deep Learning Models
Qingchun Guo, Zhenfang He, Zhaosheng Wang, et al.
Water (2024) Vol. 16, Iss. 19, pp. 2870-2870
Open Access | Times Cited: 8
A state-of-the-art review of long short-term memory models with applications in hydrology and water resources
Zhong-kai Feng, J. Zhang, Wen-jing Niu
Applied Soft Computing (2024), pp. 112352-112352
Closed Access | Times Cited: 8
Urban real-time rainfall-runoff prediction using adaptive SSA-decomposition with dual attention
Yuan Tian, Weiming Fu, Yi Xiang, et al.
Journal of Hydrology (2025), pp. 132701-132701
Closed Access | Times Cited: 1
Coupling Machine Learning Into Hydrodynamic Models to Improve River Modeling With Complex Boundary Conditions
Huang Sheng, Jun Xia, Yueling Wang, et al.
Water Resources Research (2022) Vol. 58, Iss. 10
Closed Access | Times Cited: 32
Parallel cooperation search algorithm and artificial intelligence method for streamflow time series forecasting
Zhong-kai Feng, Pengfei Shi, Tao Yang, et al.
Journal of Hydrology (2022) Vol. 606, pp. 127434-127434
Closed Access | Times Cited: 31
A novel Lyapunov-stability-based recurrent-fuzzy system for the Identification and adaptive control of nonlinear systems
Anuli Dass, Smriti Srivastava, Rajesh Kumar
Applied Soft Computing (2023) Vol. 137, pp. 110161-110161
Closed Access | Times Cited: 20
Monthly runoff time series interval prediction based on WOA-VMD-LSTM using non-parametric kernel density estimation
Wenchuan Wang, Bo Wang, Kwok‐wing Chau, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 3, pp. 2373-2389
Closed Access | Times Cited: 17
Interpreting runoff forecasting of long short-term memory network: An investigation using the integrated gradient method on runoff data from the Han River Basin
Jing Xin, Jungang Luo, Ganggang Zuo, et al.
Journal of Hydrology Regional Studies (2023) Vol. 50, pp. 101549-101549
Open Access | Times Cited: 17
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