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:
Prediction of urban water accumulation points and water accumulation process based on machine learning
Hongfa Wang, Yajuan Zhao, Yihong Zhou, et al.
Earth Science Informatics (2021) Vol. 14, Iss. 4, pp. 2317-2328
Closed Access | Times Cited: 14
Hongfa Wang, Yajuan Zhao, Yihong Zhou, et al.
Earth Science Informatics (2021) Vol. 14, Iss. 4, pp. 2317-2328
Closed Access | Times Cited: 14
Showing 14 citing articles:
Adapting cities to the surge: A comprehensive review of climate-induced urban flooding
Gangani Dharmarathne, Anushka Osadhi Waduge, Madhusha Bogahawaththa, et al.
Results in Engineering (2024) Vol. 22, pp. 102123-102123
Open Access | Times Cited: 42
Gangani Dharmarathne, Anushka Osadhi Waduge, Madhusha Bogahawaththa, et al.
Results in Engineering (2024) Vol. 22, pp. 102123-102123
Open Access | Times Cited: 42
Analyzing spatial variance of urban waterlogging disaster at multiple scales based on a hydrological and hydrodynamic model
Luoyang Wang, Yao Li, Hao Hou, et al.
Natural Hazards (2022) Vol. 114, Iss. 2, pp. 1915-1938
Closed Access | Times Cited: 28
Luoyang Wang, Yao Li, Hao Hou, et al.
Natural Hazards (2022) Vol. 114, Iss. 2, pp. 1915-1938
Closed Access | Times Cited: 28
Prediction of flood sensitivity based on Logistic Regression, eXtreme Gradient Boosting, and Random Forest modeling methods
Ying Wu, Zhiming Zhang, Xiaotian Qi, et al.
Water Science & Technology (2024) Vol. 89, Iss. 10, pp. 2605-2624
Open Access | Times Cited: 6
Ying Wu, Zhiming Zhang, Xiaotian Qi, et al.
Water Science & Technology (2024) Vol. 89, Iss. 10, pp. 2605-2624
Open Access | Times Cited: 6
A spatial-temporal deep learning-based warning system against flooding hazards with an empirical study in Taiwan
Kuo-Hao Chang, Yun-Ting Chiu, Wen-Ray Su, et al.
International Journal of Disaster Risk Reduction (2024), pp. 104263-104263
Closed Access | Times Cited: 4
Kuo-Hao Chang, Yun-Ting Chiu, Wen-Ray Su, et al.
International Journal of Disaster Risk Reduction (2024), pp. 104263-104263
Closed Access | Times Cited: 4
Quantitative assessment of urban flood disaster damages using the S-curve − A case study of Zhengzhou City
Wei Du, Jia Wang, Jiahong Liu, et al.
Journal of Hydrology (2025), pp. 133169-133169
Closed Access
Wei Du, Jia Wang, Jiahong Liu, et al.
Journal of Hydrology (2025), pp. 133169-133169
Closed Access
A novel and efficient method for real-time simulating spatial and temporal evolution of coastal urban pluvial flood without drainage network
Jintao Qin, Liang Gao, Kairong Lin, et al.
Environmental Modelling & Software (2023) Vol. 172, pp. 105888-105888
Closed Access | Times Cited: 8
Jintao Qin, Liang Gao, Kairong Lin, et al.
Environmental Modelling & Software (2023) Vol. 172, pp. 105888-105888
Closed Access | Times Cited: 8
Urban waterlogging prediction and risk analysis based on rainfall time series features: A case study of Shenzhen
Zongjia Zhang, Xinyao Jian, Yiye Chen, et al.
Frontiers in Environmental Science (2023) Vol. 11
Open Access | Times Cited: 7
Zongjia Zhang, Xinyao Jian, Yiye Chen, et al.
Frontiers in Environmental Science (2023) Vol. 11
Open Access | Times Cited: 7
Mapping Fire Susceptibility in the Brazilian Amazon Forests Using Multitemporal Remote Sensing and Time-Varying Unsupervised Anomaly Detection
Andréa Eliza Oliveira Luz, Rogério Galante Negri, Klécia Gili Massi, et al.
Remote Sensing (2022) Vol. 14, Iss. 10, pp. 2429-2429
Open Access | Times Cited: 12
Andréa Eliza Oliveira Luz, Rogério Galante Negri, Klécia Gili Massi, et al.
Remote Sensing (2022) Vol. 14, Iss. 10, pp. 2429-2429
Open Access | Times Cited: 12
Coupling Time and Non-Time Series Models to Simulate the Flood Depth at Urban Flooded Area
Hongfa Wang, Xinjian Guan, Yu Meng, et al.
Water Resources Management (2023) Vol. 37, Iss. 3, pp. 1275-1295
Closed Access | Times Cited: 5
Hongfa Wang, Xinjian Guan, Yu Meng, et al.
Water Resources Management (2023) Vol. 37, Iss. 3, pp. 1275-1295
Closed Access | Times Cited: 5
A noval approach based on TCN-LSTM network for predicting waterlogging depth with waterlogging monitoring station
Jinliang Yao, Zhipeng Cai, Zheng Qian, et al.
PLoS ONE (2023) Vol. 18, Iss. 10, pp. e0286821-e0286821
Open Access | Times Cited: 5
Jinliang Yao, Zhipeng Cai, Zheng Qian, et al.
PLoS ONE (2023) Vol. 18, Iss. 10, pp. e0286821-e0286821
Open Access | Times Cited: 5
City scale urban flooding risk assessment using multi-source data and machine learning approach
Wei Qing, Huijin Zhang, Yongqi Chen, et al.
Journal of Hydrology (2024), pp. 132626-132626
Closed Access
Wei Qing, Huijin Zhang, Yongqi Chen, et al.
Journal of Hydrology (2024), pp. 132626-132626
Closed Access
A novel predictive analysis approach for forecasting and classifying surface water data using AWQI standards and machine learning-based rule induction
Kaleeswari Chinnakkaruppan, Kuppusamy Krishnamoorthy, Senthilrajan Agniraj
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access
Kaleeswari Chinnakkaruppan, Kuppusamy Krishnamoorthy, Senthilrajan Agniraj
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access
Performance analysis of samplers and calibrators with various classifiers for asymmetric hydrological data
C. Kaleeswari, K. Kuppusamy, A Senthilrajan
International Journal of Advanced Technology and Engineering Exploration (2023) Vol. 10, Iss. 107
Open Access | Times Cited: 1
C. Kaleeswari, K. Kuppusamy, A Senthilrajan
International Journal of Advanced Technology and Engineering Exploration (2023) Vol. 10, Iss. 107
Open Access | Times Cited: 1
Leakage control of urban water supply network and mathematical analysis and location of leakage points based on machine learning
Junqing Liang, Xiaoxiao Kong
Applied Mathematics and Nonlinear Sciences (2022) Vol. 8, Iss. 1, pp. 1519-1528
Open Access | Times Cited: 1
Junqing Liang, Xiaoxiao Kong
Applied Mathematics and Nonlinear Sciences (2022) Vol. 8, Iss. 1, pp. 1519-1528
Open Access | Times Cited: 1
