
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:
Improving urban flood prediction using LSTM-DeepLabv3+ and Bayesian optimization with spatiotemporal feature fusion
Zuxiang Situ, Qi Wang, Shuai Teng, et al.
Journal of Hydrology (2024) Vol. 630, pp. 130743-130743
Closed Access | Times Cited: 14
Zuxiang Situ, Qi Wang, Shuai Teng, et al.
Journal of Hydrology (2024) Vol. 630, pp. 130743-130743
Closed Access | Times Cited: 14
Showing 14 citing articles:
Urban flood depth prediction using an improved LSTM model incorporating precipitation forecasting
Jing Huang, Yang Hong, Dianchen Sun
Natural Hazards (2025)
Closed Access
Jing Huang, Yang Hong, Dianchen Sun
Natural Hazards (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
Chengguang Lai, Yuhong Liao, Zhaoli Wang, et al.
(2025)
Closed Access
Using the TSA-LSTM two-stage model to predict cancer incidence and mortality
Rabnawaz Khan, Jie Wang
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0317148-e0317148
Open Access
Rabnawaz Khan, Jie Wang
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0317148-e0317148
Open Access
A surrogate machine learning modeling approach for enhancing the efficiency of urban flood modeling at metropolitan scales
Fatemeh Rezaei Aderyani, Keighobad Jafarzadegan, Hamid Moradkhani
Sustainable Cities and Society (2025) Vol. 123, pp. 106277-106277
Closed Access
Fatemeh Rezaei Aderyani, Keighobad Jafarzadegan, Hamid Moradkhani
Sustainable Cities and Society (2025) Vol. 123, pp. 106277-106277
Closed Access
Automated detection of underwater cracks based on fusion of optical and texture information
Shuai Teng, Airong Liu, Zhihua Wu, et al.
Engineering Structures (2024) Vol. 315, pp. 118515-118515
Closed Access | Times Cited: 4
Shuai Teng, Airong Liu, Zhihua Wu, et al.
Engineering Structures (2024) Vol. 315, pp. 118515-118515
Closed Access | Times Cited: 4
Research Progress and Prospects of Urban Flooding Simulation: From Traditional Numerical Models to Deep Learning Approaches
Bowei Zeng, Guoru Huang, Wenjie Chen
Environmental Modelling & Software (2024), pp. 106213-106213
Closed Access | Times Cited: 4
Bowei Zeng, Guoru Huang, Wenjie Chen
Environmental Modelling & Software (2024), pp. 106213-106213
Closed Access | Times Cited: 4
Integrating numerical models with deep learning techniques for flood risk assessment
Fatemeh Kordi-Karimabadi, Ehsan Fadaei-Kermani, Mahnaz GhaeiniâHessaroeyeh, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Fatemeh Kordi-Karimabadi, Ehsan Fadaei-Kermani, Mahnaz GhaeiniâHessaroeyeh, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Guidance on the construction and selection of relatively simple to complex data-driven models for multi-task streamflow forecasting
Trung Duc Tran, Jongho Kim
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 9, pp. 3657-3675
Closed Access | Times Cited: 1
Trung Duc Tran, Jongho Kim
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 9, pp. 3657-3675
Closed Access | Times Cited: 1
Unraveling the factors behind self-reported trapped incidents in the extraordinary urban flood disaster: a case study of Zhengzhou City, China
Hongbo Zhao, Yangyang Liu, Yue Li, et al.
Cities (2024) Vol. 155, pp. 105444-105444
Closed Access | Times Cited: 1
Hongbo Zhao, Yangyang Liu, Yue Li, et al.
Cities (2024) Vol. 155, pp. 105444-105444
Closed Access | Times Cited: 1
Welding defect detection based on phased array images and two-stage segmentation strategy
Yan Chen, Deqiang He, Suiqiu He, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102879-102879
Closed Access | Times Cited: 1
Yan Chen, Deqiang He, Suiqiu He, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102879-102879
Closed Access | Times Cited: 1
Attention-based deep learning framework for urban flood damage and risk assessment with improved flood prediction and land use segmentation
Zuxiang Situ, Qisheng Zhong, Jianliang Zhang, et al.
International Journal of Disaster Risk Reduction (2024), pp. 105165-105165
Closed Access | Times Cited: 1
Zuxiang Situ, Qisheng Zhong, Jianliang Zhang, et al.
International Journal of Disaster Risk Reduction (2024), pp. 105165-105165
Closed Access | Times Cited: 1
A Convolutional Neural Network-Weighted Cellular Automaton Model for the Fast Prediction of Urban Pluvial Flooding Processes
Jiarui Yang, Kai Liu, Ming Wang, et al.
International Journal of Disaster Risk Science (2024) Vol. 15, Iss. 5, pp. 754-768
Open Access
Jiarui Yang, Kai Liu, Ming Wang, et al.
International Journal of Disaster Risk Science (2024) Vol. 15, Iss. 5, pp. 754-768
Open Access
Rapid urban inundation prediction method based on numerical simulation and AI algorithm
Xinxin Pan, Jingming Hou, Guangzhao Chen, et al.
Journal of Hydrology (2024), pp. 132334-132334
Closed Access
Xinxin Pan, Jingming Hou, Guangzhao Chen, et al.
Journal of Hydrology (2024), pp. 132334-132334
Closed Access
Neural Prognostication of Thyroid Carcinoma Recurrence an Interdisciplinary Inquiry into Predictive Modelling and Computational Oncology
R. Sireesha, K. Nandini, Srimathkandala Ch V. S. Vyshnavi, et al.
Lecture notes in networks and systems (2024), pp. 503-516
Closed Access
R. Sireesha, K. Nandini, Srimathkandala Ch V. S. Vyshnavi, et al.
Lecture notes in networks and systems (2024), pp. 503-516
Closed Access