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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:

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: 37

Showing 1-25 of 37 citing articles:

Transformer neural networks for interpretable flood forecasting
Marco Castangia, Lina Maria Medina Grajales, Alessandro Aliberti, et al.
Environmental Modelling & Software (2022) Vol. 160, pp. 105581-105581
Closed Access | Times Cited: 76
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: 75
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
Towards deep probabilistic graph neural network for natural gas leak detection and localization without labeled anomaly data
Xinqi Zhang, Jihao Shi, Xinyan Huang, et al.
Expert Systems with Applications (2023) Vol. 231, pp. 120542-120542
Open Access | Times Cited: 30
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
A novel additive regression model for streamflow forecasting in German rivers
Francesco Granata, Fabio Di Nunno, Quoc Bao Pham
Results in Engineering (2024) Vol. 22, pp. 102104-102104
Open Access | Times Cited: 12
An explainable multiscale LSTM model with wavelet transform and layer-wise relevance propagation for daily streamflow forecasting
Lizhi Tao, Zhichao Cui, Yufeng He, et al.
The Science of The Total Environment (2024) Vol. 929, pp. 172465-172465
Closed Access | Times Cited: 12
A deep learning-based hybrid approach for multi-time-ahead streamflow prediction in an arid region of Northwest China
Jinjie Fang, Linshan Yang, Xiaohu Wen, et al.
Hydrology Research (2024) Vol. 55, Iss. 2, pp. 180-204
Open Access | Times Cited: 9
Evaluation and Interpretation of Runoff Forecasting Models Based on Hybrid Deep Neural Networks
Xin Yang, Jianzhong Zhou, Qianyi Zhang, et al.
Water Resources Management (2024) Vol. 38, Iss. 6, pp. 1987-2013
Closed Access | Times Cited: 9
A factorial-analysis-based Bayesian neural network method for quantifying China's CO2 emissions under dual-carbon target
Ziyi Wang, Yongping Li, Guohe Huang, et al.
The Science of The Total Environment (2024) Vol. 920, pp. 170698-170698
Closed Access | Times Cited: 7
Interpretable probabilistic modeling method for runoff prediction: A case study in Yangtze River basin, China
Qin Shen, Mo Li, Guanjun Liu, et al.
Journal of Hydrology Regional Studies (2024) Vol. 52, pp. 101684-101684
Open Access | Times Cited: 5
Comparison of Hydrological Modeling, Artificial Neural Networks and Multi-Criteria Decision Making Approaches for Determining Flood Source Areas
Erfan Mahmoodi, M. Azari, Mohammad Taghi Dastorani, et al.
Water Resources Management (2024) Vol. 38, Iss. 13, pp. 5343-5363
Closed Access | Times Cited: 5
A Comparative Assessment of Machine Learning and Deep Learning Models for the Daily River Streamflow Forecasting
Malihe Danesh, Amin Gharehbaghi, Saeid Mehdizadeh, et al.
Water Resources Management (2024)
Closed Access | Times Cited: 5
Mixture of experts leveraging informer and LSTM variants for enhanced daily streamflow forecasting
Zerong Rong, Wei Sun, Yutong Xie, et al.
Journal of Hydrology (2025), pp. 132737-132737
Closed Access
Improving trans-regional hydrological modelling by combining LSTM with big hydrological data
Senlin Tang, Fubao Sun, Qiang Zhang, et al.
Journal of Hydrology Regional Studies (2025) Vol. 58, pp. 102257-102257
Closed Access
Flash Flood Regionalization for the Hengduan Mountains Region, China, Combining GNN and SHAP Methods
Yifan Li, Chendi Zhang, Peng Cui, et al.
Remote Sensing (2025) Vol. 17, Iss. 6, pp. 946-946
Open Access
Dive into transfer-learning for daily rainfall-runoff modeling in data-limited basins
Wenyu Ouyang, Chi Zhang, Lei Ye, et al.
Journal of Hydrology (2025), pp. 133063-133063
Closed Access
Spatio-Temporal Graph Neural Networks for Streamflow Prediction in the Upper Colorado Basin
Akhila Akkala, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi, et al.
Hydrology (2025) Vol. 12, Iss. 3, pp. 60-60
Open Access
An enhanced monthly runoff forecasting using least squares support vector machine based on Harris hawks optimization and secondary decomposition
Dongmei Xu, Xiao-xue Hu, Wenchuan Wang, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 3, pp. 2089-2109
Closed Access | Times Cited: 15
A novel feature attention mechanism for improving the accuracy and robustness of runoff forecasting
Hao Wang, Hui Qin, Guanjun Liu, et al.
Journal of Hydrology (2023) Vol. 618, pp. 129200-129200
Closed Access | Times Cited: 14
Multi-strategy adaptive guidance differential evolution algorithm using fitness-distance balance and opposition-based learning for constrained global optimization of photovoltaic cells and modules
Qianlong Liu, Chu Zhang, Zhengbo Li, et al.
Applied Energy (2023) Vol. 353, pp. 122032-122032
Closed Access | Times Cited: 14
A dynamic classification-based long short-term memory network model for daily streamflow forecasting in different climate regions
Haibo Chu, Jin Wu, Wenyan Wu, et al.
Ecological Indicators (2023) Vol. 148, pp. 110092-110092
Open Access | Times Cited: 11
Exploring a similarity search-based data-driven framework for multi-step-ahead flood forecasting
Kangling Lin, Hua Chen, Yanlai Zhou, et al.
The Science of The Total Environment (2023) Vol. 891, pp. 164494-164494
Closed Access | Times Cited: 11
Time series prediction for production quality in a machining system using spatial-temporal multi-task graph learning
Pei Wang, Qianle Zhang, Hai Qu, et al.
Journal of Manufacturing Systems (2024) Vol. 74, pp. 157-179
Closed Access | Times Cited: 3
A multiscale attribution framework for separating the effects of cascade and individual reservoirs on runoff
Yongsheng Jie, Hui Qin, Benjun Jia, et al.
The Science of The Total Environment (2024) Vol. 933, pp. 172784-172784
Closed Access | Times Cited: 3
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