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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:

Hybrid approach for flood susceptibility assessment in a flood-prone mountainous catchment in China
Lei Fang, Jinliang Huang, Juntao Cai, et al.
Journal of Hydrology (2022) Vol. 612, pp. 128091-128091
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Improving daily streamflow simulations for data-scarce watersheds using the coupled SWAT-LSTM approach
Shengyue Chen, Jinliang Huang, Jr‐Chuan Huang
Journal of Hydrology (2023) Vol. 622, pp. 129734-129734
Closed Access | Times Cited: 55
GIS-based machine learning algorithm for flood susceptibility analysis in the Pagla river basin, Eastern India
Nur Islam Saikh, Prolay Mondal
Natural Hazards Research (2023) Vol. 3, Iss. 3, pp. 420-436
Open Access | Times Cited: 44
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
Improving flood hazard susceptibility assessment by integrating hydrodynamic modeling with remote sensing and ensemble machine learning
Izhar Ahmad, Rashid Farooq, Muhammad Ashraf, et al.
Natural Hazards (2025)
Open Access | Times Cited: 1
Improving the model robustness of flood hazard mapping based on hyperparameter optimization of random forest
Mingyong Liao, Haijia Wen, Ling Yang, et al.
Expert Systems with Applications (2023) Vol. 241, pp. 122682-122682
Closed Access | Times Cited: 24
Threshold and real-time initiation mechanism of urban flood emergency response under combined disaster scenarios
Yihong Zhou, Zening Wu, Qiuhua Liang, et al.
Sustainable Cities and Society (2024) Vol. 108, pp. 105512-105512
Closed Access | Times Cited: 6
Space-time evolution of urban flood resilience and its scenario simulation research: a case study of Zhejiang Province, China
Feifeng Cao, Hao Xu, Guixia Huang, et al.
Heliyon (2025) Vol. 11, Iss. 4, pp. e42698-e42698
Open Access
A novel multi-strategy hydrological feature extraction (MHFE) method to improve urban waterlogging risk prediction, a case study of Fuzhou City in China
Haocheng Huang, Xiaohui Lei, Weihong Liao, et al.
The Science of The Total Environment (2023) Vol. 904, pp. 165834-165834
Closed Access | Times Cited: 12
Assessing flood susceptibility with ALOS PALSAR and LiDAR digital terrain models using the height above nearest drainage (HAND) model
Maria Alves, Rafaella Loureiro, Carlos Adilson Alves Rocha, et al.
Environment Development and Sustainability (2024)
Closed Access | Times Cited: 4
Urban Flood Dynamic Risk Assessment Based on Typhoon Rainfall Process: A Case Study of Typhoon “Lupit” (2109) in Fuzhou, China
Xiaochen Qin, Yilong Wu, Tianshu Lin, et al.
Remote Sensing (2023) Vol. 15, Iss. 12, pp. 3116-3116
Open Access | Times Cited: 10
Improving the explainability of CNN-LSTM-based flood prediction with integrating SHAP technique
Hao Huang, Zhaoli Wang, Yaoxing Liao, et al.
Ecological Informatics (2024) Vol. 84, pp. 102904-102904
Open Access | Times Cited: 3
Assessing Objective Functions in Streamflow Prediction Model Training Based on the Naïve Method
Yongen Lin, Dagang Wang, Tao Jiang, et al.
Water (2024) Vol. 16, Iss. 5, pp. 777-777
Open Access | Times Cited: 2
Robustness of machine learning algorithms to generate flood susceptibility maps for watersheds in Jordan
Mohanned S. Al-Sheriadeh, Mohammad A. Daqdouq
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 2
A novel semantic segmentation approach based on U-Net, WU-Net, and U-Net++ deep learning for predicting areas sensitive to pluvial flood at tropical area
Laura Melgar-García, Francisco Martínez–Álvarez, Dieu Tien Bui, et al.
International Journal of Digital Earth (2023) Vol. 16, Iss. 1, pp. 3661-3679
Open Access | Times Cited: 6
Riverine flood risk assessment with a combined model chain in southeastern China
Lihong Wang, Shenghui Cui, Jianxiong Tang, et al.
Ecological Indicators (2023) Vol. 154, pp. 110686-110686
Open Access | Times Cited: 5
An Inverse-Occurrence Sampling Approach for Urban Flood Susceptibility Mapping
Changpeng Wang, Yangchun Lin, Zhiwen Tao, et al.
Remote Sensing (2023) Vol. 15, Iss. 22, pp. 5384-5384
Open Access | Times Cited: 5
A method for detecting the non-stationarity during high flows under global change
Zhenyu Zhang, Jinliang Huang, Paul D. Wagner, et al.
The Science of The Total Environment (2022) Vol. 851, pp. 158341-158341
Closed Access | Times Cited: 9
Advancing flood susceptibility modeling using stacking ensemble machine learning: A multi-model approach
Hui-Lin Yang, Rui Yao, Linyao Dong, et al.
Journal of Geographical Sciences (2024) Vol. 34, Iss. 8, pp. 1513-1536
Closed Access | Times Cited: 1
Hydrological modeling of the selected flash flood-prone rivers
Aysha Akter, Fahim Shahriar Sawon
Natural Hazards (2024)
Closed Access | Times Cited: 1
A novel flood conditioning factor based on topography for flood susceptibility modeling
Jun Liu, Xueqiang Zhao, Yangbo Chen, et al.
Geoscience Frontiers (2024) Vol. 16, Iss. 1, pp. 101960-101960
Open Access | Times Cited: 1
Data-driven and numerical simulation coupling to quantify the impact of ecological water replenishment on surface water-groundwater interactions
Kewei Lyu, Yihan Dong, Wensheng Lyu, et al.
Journal of Hydrology (2024) Vol. 649, pp. 132508-132508
Closed Access | Times Cited: 1
Risk Identification of Mountain Torrent Hazard Using Machine Learning and Bayesian Model Averaging Techniques
Ya Chu, Weifeng Song, Dongbin Chen
Water (2024) Vol. 16, Iss. 11, pp. 1556-1556
Open Access | Times Cited: 1
Assessment of urban flood susceptibility based on a novel integrated machine learning method
Haidong Yang, Ting Zou, Biyu Liu
Environmental Monitoring and Assessment (2024) Vol. 197, Iss. 1
Closed Access | Times Cited: 1
Estimating Elements Susceptible to Urban Flooding Using Multisource Data and Machine Learning
Wegayehu Asfaw, T.H.M. Rientjes, Tilaye Worku Bekele, et al.
International Journal of Disaster Risk Reduction (2024), pp. 105169-105169
Open Access | Times Cited: 1
A Comparison of Machine Learning Models for Predicting Flood Susceptibility Based on the Enhanced NHAND Method
Caisu Meng, Hailiang Jin
Sustainability (2023) Vol. 15, Iss. 20, pp. 14928-14928
Open Access | Times Cited: 3
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