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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:

High temporal resolution urban flood prediction using attention-based LSTM models
Lin Zhang, Huapeng Qin, Junqi Mao, et al.
Journal of Hydrology (2023) Vol. 620, pp. 129499-129499
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Hybrid neural network-based surrogate model for fast prediction of hydrogen leak consequences in hydrogen refueling station
Xu He, Depeng Kong, Guodong Yang, et al.
International Journal of Hydrogen Energy (2024) Vol. 59, pp. 187-198
Closed Access | Times Cited: 12
A novel strategy for flood flow Prediction: Integrating Spatio-Temporal information through a Two-Dimensional hidden layer structure
Yi-yang Wang, Wenchuan Wang, Dongmei Xu, et al.
Journal of Hydrology (2024) Vol. 638, pp. 131482-131482
Closed Access | Times Cited: 9
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
Deep learning rapid flood risk predictions for climate resilience planning
Ahmed Yosri, Maysara Ghaith, Wael El‐Dakhakhni
Journal of Hydrology (2024) Vol. 631, pp. 130817-130817
Closed Access | Times Cited: 8
Advancing rapid urban flood prediction: a spatiotemporal deep learning approach with uneven rainfall and attention mechanism
Yu Shao, Jiarui Chen, Tuqiao Zhang, et al.
Journal of Hydroinformatics (2024) Vol. 26, Iss. 6, pp. 1409-1424
Open Access | Times Cited: 8
A hybrid model coupling process-driven and data-driven models for improved real-time flood forecasting
Chengjing Xu, Ping‐an Zhong, Feilin Zhu, et al.
Journal of Hydrology (2024) Vol. 638, pp. 131494-131494
Closed 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
Making Waves: Towards data-centric water engineering
Guangtao Fu, Dragan Savić, David Butler
Water Research (2024) Vol. 256, pp. 121585-121585
Open Access | Times Cited: 7
Exploring a spatiotemporal hetero graph-based long short-term memory model for multi-step-ahead flood forecasting
Yuxuan Luo, Yanlai Zhou, Hua Chen, et al.
Journal of Hydrology (2024) Vol. 633, pp. 130937-130937
Closed Access | Times Cited: 6
Geographic heterogeneity of activation functions in urban real-time flood forecasting: Based on seasonal trend decomposition using Loess-Temporal Convolutional Network-Gated Recurrent Unit model
Songhua Huan
Journal of Hydrology (2024) Vol. 636, pp. 131279-131279
Closed Access | Times Cited: 6
Predicting the performance of green stormwater infrastructure using multivariate long short-term memory (LSTM) neural network
Md Abdullah Al Mehedi, Achira Amur, Jessica L. Metcalf, et al.
Journal of Hydrology (2023) Vol. 625, pp. 130076-130076
Open Access | Times Cited: 16
Modeling the decay of free residual chlorine in water distribution networks in Brazilian rural communities using artificial neural network
Gabriele de Souza Batista, Mateus Clemente de Lacerda, Dunfrey Pires Aragão, et al.
Journal of Water Process Engineering (2024) Vol. 61, pp. 105312-105312
Closed Access | Times Cited: 5
Enhancing hydrological extremes prediction accuracy: Integrating diverse loss functions in Transformer models
Xue Li, Qiliang Sun, Yanfei Zhang, et al.
Environmental Modelling & Software (2024) Vol. 177, pp. 106042-106042
Closed Access | Times Cited: 4
Enhancing physically-based flood forecasts through fusion of long short-term memory neural network with unscented Kalman filter
Yuxuan Luo, Yanlai Zhou, Hanbing Xu, et al.
Journal of Hydrology (2024) Vol. 641, pp. 131819-131819
Closed Access | Times Cited: 4
A Lake-Flood Forecasting Method Coupling the Ce-Qual-W2 and Pinn Models
M. Shi, Hongyuan Fang, Yangyang Xie, et al.
(2025)
Closed Access
Using Explainable Artificial Intelligence (Xai) to Understand Compound Flooding Arising from Rainstorms and Tides
Chengguang Lai, Yuhong Liao, Zhaoli Wang, et al.
(2025)
Closed Access
Rainfall-based flood prediction by hybrid deep architecture with entropy and statistical feature set
Vanam Yoganand, Sheela Rani B, Nagamani Kattukota, et al.
International Journal of Image and Data Fusion (2025) Vol. 16, Iss. 1
Closed Access
Dual-modality Encoder-decoder Framework for Urban Real-time Rainfall-runoff Prediction
Yuan Tian, Ruonan Cui, Weiming Fu, et al.
Water Resources Management (2025)
Closed Access
Unit load prediction method based on weighted just-in-time learning with spatio-temporal characteristics for gas boiler power generation process
Yan Xu, Min Wu, Jie Hu, et al.
Control Engineering Practice (2025) Vol. 160, pp. 106325-106325
Closed Access
Predicting water demand for spraying operations in dry bulk ports: A hybrid approach based on data decomposition and deep learning
Jiaqi Guo, Wenyuan Wang, Philip Kwong, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103313-103313
Closed Access
U-RNN high-resolution spatiotemporal nowcasting of urban flooding
Xiaoyan Cao, Bao-Ying Wang, Yao Yao, et al.
Journal of Hydrology (2025), pp. 133117-133117
Closed Access
The enhanced integration of proven techniques to quantify the uncertainty of forecasting extreme flood events based on numerical weather prediction models
Mitra Tanhapour, Jaber Soltani, Hadi Shakibian, et al.
Weather and Climate Extremes (2025), pp. 100767-100767
Open Access
Urban Flood Modelling: Challenges and Opportunities - A Stakeholder-Informed Analysis
Muhammad Qasim Mahmood, Xiuquan Wang, Farhan Aziz, et al.
Environmental Modelling & Software (2025), pp. 106507-106507
Open Access
Enhanced rainfall nowcasting of tropical cyclone by an interpretable deep learning model and its application in real-time flood forecasting
Li Liu, Xiao Liang, Yue‐Ping Xu, et al.
Journal of Hydrology (2024), pp. 131993-131993
Closed Access | Times Cited: 3
Characteristics and risk management of urban surface flooding in Guangzhou, China: Insights from 2022 ground monitoring
Xuelian Zhang, Aiqing Kang, Qingxin Song, et al.
Journal of Hydrology Regional Studies (2024) Vol. 53, pp. 101831-101831
Open Access | Times Cited: 2
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