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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:

Spatial-temporal flood inundation nowcasts by fusing machine learning methods and principal component analysis
Li‐Chiu Chang, Jia-Yi Liou, Fi‐John Chang
Journal of Hydrology (2022) Vol. 612, pp. 128086-128086
Closed Access | Times Cited: 59

Showing 1-25 of 59 citing articles:

Stacked machine learning algorithms and bidirectional long short-term memory networks for multi-step ahead streamflow forecasting: A comparative study
Francesco Granata, Fabio Di Nunno, Giovanni de Marinis
Journal of Hydrology (2022) Vol. 613, pp. 128431-128431
Closed Access | Times Cited: 103
Fast simulation and prediction of urban pluvial floods using a deep convolutional neural network model
Yaoxing Liao, Zhaoli Wang, Xiaohong Chen, et al.
Journal of Hydrology (2023) Vol. 624, pp. 129945-129945
Closed Access | Times Cited: 67
Medium-long-term prediction of water level based on an improved spatio-temporal attention mechanism for long short-term memory networks
Yingfei Wang, Yingping Huang, Min Xiao, et al.
Journal of Hydrology (2023) Vol. 618, pp. 129163-129163
Closed Access | Times Cited: 42
Assessment of surrogate models for flood inundation: The physics-guided LSG model vs. state-of-the-art machine learning models
Niels Fraehr, Quan J. Wang, Wenyan Wu, et al.
Water Research (2024) Vol. 252, pp. 121202-121202
Open Access | Times Cited: 22
Comparison of Machine Learning Algorithms for Flood Susceptibility Mapping
Seyd Teymoor Seydi, Yousef Kanani‐Sadat, Mahdi Hasanlou, et al.
Remote Sensing (2022) Vol. 15, Iss. 1, pp. 192-192
Open Access | Times Cited: 65
Application of a New Hybrid Deep Learning Model That Considers Temporal and Feature Dependencies in Rainfall–Runoff Simulation
Feng Zhou, Yangbo Chen, Jun Liu
Remote Sensing (2023) Vol. 15, Iss. 5, pp. 1395-1395
Open Access | Times Cited: 23
Advancing climate-resilient flood mitigation: Utilizing transformer-LSTM for water level forecasting at pumping stations
Pu-Yun Kow, Jia-Yi Liou, Ming-Ting Yang, et al.
The Science of The Total Environment (2024) Vol. 927, pp. 172246-172246
Closed Access | Times Cited: 10
Quick large-scale spatiotemporal flood inundation computation using integrated Encoder-Decoder LSTM with time distributed spatial output models
Guozhen Wei, Wei Xia, Bin He, et al.
Journal of Hydrology (2024) Vol. 634, pp. 130993-130993
Closed Access | Times Cited: 9
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
Integrating deep learning, satellite image processing, and spatial-temporal analysis for urban flood prediction
Nasim Mohamadiazar, Ali Ebrahimian, Hossein Hosseiny
Journal of Hydrology (2024) Vol. 639, pp. 131508-131508
Closed Access | Times Cited: 8
A novel AI-based model for real-time flooding image recognition using super-resolution generative adversarial network
Yuan-Fu Zeng, M. M. Chang, Gwo‐Fong Lin
Journal of Hydrology (2024) Vol. 638, pp. 131475-131475
Closed Access | Times Cited: 8
Enhancing flood risk assessment in urban areas by integrating hydrodynamic models and machine learning techniques
Alireza Khoshkonesh, Rouzbeh Nazari, Mohammad Reza Nikoo, et al.
The Science of The Total Environment (2024) Vol. 952, pp. 175859-175859
Closed Access | Times Cited: 8
Real-time forecasting of coastal flood inundations under regulated reservoir and storm-tide influences
Ashrumochan Mohanty, Bhabagrahi Sahoo, Ravindra V. Kale
Advances in Water Resources (2025), pp. 104920-104920
Closed Access | Times Cited: 1
Exploring Temporal Dynamics of River Discharge Using Univariate Long Short-Term Memory (LSTM) Recurrent Neural Network at East Branch of Delaware River
Md Abdullah Al Mehedi, Marzieh Khosravi, Munshi Md. Shafwat Yazdan, et al.
Hydrology (2022) Vol. 9, Iss. 11, pp. 202-202
Open Access | Times Cited: 31
Flood susceptibility mapping utilizing the integration of geospatial and multivariate statistical analysis, Erbil area in Northern Iraq as a case study
Alaa Ahmed, Ali Al Maliki, Bassim Hashim, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 17
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: 5
Integration of machine learning and hydrodynamic modeling to solve the extrapolation problem in flood depth estimation
Huu Duy Nguyen, Dinh Kha Dang, Nhu Y Nguyen, et al.
Journal of Water and Climate Change (2023) Vol. 15, Iss. 1, pp. 284-304
Open Access | Times Cited: 13
Identification of dominant species of submerged vegetation based on Sentinel-2 red-edge band: A case study of Lake Erhai, China
Xiaohan Wang, Yu Zhang, Yan‐hong Yu, et al.
Ecological Indicators (2025) Vol. 171, pp. 113168-113168
Open Access
Advanced groundwater level forecasting with hybrid deep learning model: Tackling water challenges in Taiwan’s largest alluvial fan
Yu-Wen Chang, Wei Sun, Pu-Yun Kow, et al.
Journal of Hydrology (2025), pp. 132887-132887
Closed Access
A Two-Level Early Warning System on Urban Floods Caused by Rainstorm
Qian Gu, Fuxin Chai, Wenbin Zang, et al.
Sustainability (2025) Vol. 17, Iss. 5, pp. 2147-2147
Open Access
Flood resilience through hybrid deep learning: Advanced forecasting for Taipei's urban drainage system
Li‐Chiu Chang, Ming-Ting Yang, Fi‐John Chang
Journal of Environmental Management (2025) Vol. 379, pp. 124835-124835
Closed Access
Impacts of rainstorm characteristics on flood inundation mitigation performance of LID measures throughout an urban catchment
Zhengmo Zhou, Qiongfang Li, Pengfei He, et al.
Journal of Hydrology (2023) Vol. 624, pp. 129841-129841
Closed Access | Times Cited: 12
New approach for predicting nitrogen and pigments in maize from hyperspectral data and machine learning models
Bianca Cavalcante da Silva, Renato de Mello Prado, Fábio Henrique Rojo Baio, et al.
Remote Sensing Applications Society and Environment (2023) Vol. 33, pp. 101110-101110
Closed Access | Times Cited: 11
Exploring Temporal Dynamics of River Discharge using Univariate Long Short-Term Memory (LSTM) Recurrent Neural Network at East Branch of Delaware River
Md Abdullah Al Mehedi, Marzieh Khosravi, Munshi Md. Shafwat Yazdan, et al.
(2022)
Open Access | Times Cited: 18
Analysis of Success Factors, Benefits, and Challenges of Issuing Green Bonds in Lithuania
Julija Bužinskė, Jelena Stankevičienė
Economies (2023) Vol. 11, Iss. 5, pp. 143-143
Open Access | Times Cited: 10
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