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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:

Remote Sensing Methods for Flood Prediction: A Review
Hafiz Suliman Munawar, Ahmed W. A. Hammad, S. Travis Waller
Sensors (2022) Vol. 22, Iss. 3, pp. 960-960
Open Access | Times Cited: 147

Showing 1-25 of 147 citing articles:

Crack Detection in Concrete Structures Using Deep Learning
Vaughn Peter Golding, Zahra Gharineiat, Hafiz Suliman Munawar, et al.
Sustainability (2022) Vol. 14, Iss. 13, pp. 8117-8117
Open Access | Times Cited: 67
Advancement of Remote Sensing for Soil Measurements and Applications: A Comprehensive Review
Mukhtar Iderawumi Abdulraheem, Wei Zhang, Shixin Li, et al.
Sustainability (2023) Vol. 15, Iss. 21, pp. 15444-15444
Open Access | Times Cited: 49
The role of artificial intelligence and digital technologies in dam engineering: Narrative review and outlook
Mohammad Amin Hariri‐Ardebili, Golsa Mahdavi, Larry K. Nuss, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106813-106813
Closed Access | Times Cited: 44
A novel machine learning tool for current and future flood susceptibility mapping by integrating remote sensing and geographic information systems
Afshin Amiri, Keyvan Soltani, Isa Ebtehaj, et al.
Journal of Hydrology (2024) Vol. 632, pp. 130936-130936
Closed Access | Times Cited: 27
China Building Rooftop Area: the first multi-annual (2016–2021) and high-resolution (2.5 m) building rooftop area dataset in China derived with super-resolution segmentation from Sentinel-2 imagery
Zeping Liu, Hong Tang, Lin Feng, et al.
Earth system science data (2023) Vol. 15, Iss. 8, pp. 3547-3572
Open Access | Times Cited: 31
FFM: Flood Forecasting Model Using Federated Learning
Muhammad Shoaib Farooq, Rabia Tehseen, Junaid Nasir Qureshi, et al.
IEEE Access (2023) Vol. 11, pp. 24472-24483
Open Access | Times Cited: 25
A New Graph-Based Deep Learning Model to Predict Flooding with Validation on a Case Study on the Humber River
Victor Oliveira Santos, Paulo Alexandre Costa Rocha, John Scott, et al.
Water (2023) Vol. 15, Iss. 10, pp. 1827-1827
Open Access | Times Cited: 21
Heterogeneous Dynamic Graph Convolutional Networks for Enhanced Spatiotemporal Flood Forecasting by Remote Sensing
Jiange Jiang, Chen Chen, Yang Zhou, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 3108-3122
Open Access | Times Cited: 12
Integrated flood risk assessment in Hunza-Nagar, Pakistan: unifying big climate data analytics and multi-criteria decision-making with GIS
Muhammad Ahsan Mukhtar, Donghui Shangguan, Yongjian Ding, et al.
Frontiers in Environmental Science (2024) Vol. 12
Open Access | Times Cited: 10
A Hyperspectral Change Detection (HCD-Net) Framework Based on Double Stream Convolutional Neural Networks and an Attention Module
Seyd Teymoor Seydi, Mahboubeh Boueshagh, Foad Namjoo, et al.
Remote Sensing (2024) Vol. 16, Iss. 5, pp. 827-827
Open Access | Times Cited: 7
SpaceNet 8 - The Detection of Flooded Roads and Buildings
Ronny Hänsch, Jacob Arndt, Dalton Lunga, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2022), pp. 1471-1479
Open Access | Times Cited: 27
Data-driven approaches to built environment flood resilience: A scientometric and critical review
Pavithra Rathnasiri, Onaopepo Adeniyi, Niraj Thurairajah
Advanced Engineering Informatics (2023) Vol. 57, pp. 102085-102085
Open Access | Times Cited: 15
Evolution of Flood Prediction and Forecasting Models for Flood Early Warning Systems: A Scoping Review
Nicholas Byaruhanga, Daniel Kibirige, Shaeden Gokool, et al.
Water (2024) Vol. 16, Iss. 13, pp. 1763-1763
Open Access | Times Cited: 6
Navigating Cyclone Threats: A Forecast Approach Using Water Streams’ Physical Characteristics as an Indicator to Predict High Risk Potential Areas in the Sultanate of Oman
Talal Al‐Awadhi, Meshal M. Abdullah, Zahraa M. Al‐Ali, et al.
Earth Systems and Environment (2024) Vol. 8, Iss. 4, pp. 937-949
Closed Access | Times Cited: 5
Machine learning applications in flood forecasting and predictions, challenges, and way-out in the perspective of changing environment
Vijendra Kumar, Kul Vaibhav Sharma, Nikunj K. Mangukiya, et al.
AIMS environmental science (2025) Vol. 12, Iss. 1, pp. 72-105
Open Access
INterpolated FLOod Surface (INFLOS), a Rapid and Operational Tool to Estimate Flood Depths from Earth Observation Data for Emergency Management
Quentin Poterek, Alessandro Caretto, Rémi Braun, et al.
Remote Sensing (2025) Vol. 17, Iss. 2, pp. 329-329
Open Access
PSO-random forest approach to enhance flood-prone area identification: using ground and remote sensing data (case study: Ottawa-Gatineau)
Maedeh Mosalla Tabari, Hamid Ebadi, Zahra Alizadeh Zakaria
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access
A Systematic Review of Urban Flood Susceptibility Mapping: Remote Sensing, Machine Learning, and Other Modeling Approaches
Tania Islam, Ethiopia Bisrat Zeleke, Mahmud Afroz, et al.
Remote Sensing (2025) Vol. 17, Iss. 3, pp. 524-524
Open Access
How flood-resilient port infrastructure can reduce economic impacts of climate change: a case study of the US inland waterways
Paul Johnson, Celine Wehbe, Hiba Baroud
Civil Engineering and Environmental Systems (2025), pp. 1-19
Closed Access
Forecasting and Simulation of Urban Floods Based on the Integration of RegCM and Stormwater Management Models
Mokhtar Karami, Rasoul Sarvestan, Manfred Kleidorfer
Water Resources Management (2025)
Closed Access
Urban Road Anomaly Monitoring Using Vision–Language Models for Enhanced Safety Management
Hanyu Ding, Yawei Du, Zhengyu Xia
Applied Sciences (2025) Vol. 15, Iss. 5, pp. 2517-2517
Open Access
A new approach to evaluating urban flood risk: the case of Guangdong Province in China
Wenping Xu, Pil Soo Han, David Proverbs
Urban Water Journal (2025), pp. 1-17
Closed Access
A systematic analysis of remote sensing and geographic information system applications for flood disaster risk management
Clinton Ekang Amatebelle, Solomon Temidayo Owolabi, Olumide Abiodun, et al.
Journal of Spatial Science (2025), pp. 1-27
Open Access
Urban flood extent segmentation and evaluation from real-world surveillance camera images using deep convolutional neural network
Yidi Wang, Yawen Shen, Behrouz Salahshour, et al.
Environmental Modelling & Software (2023) Vol. 173, pp. 105939-105939
Open Access | Times Cited: 14
Classification and detection of natural disasters using machine learning and deep learning techniques: A review
Kibitok Abraham, Moataz M. Abdelwahab, Mohammed Abo‐Zahhad
Earth Science Informatics (2023) Vol. 17, Iss. 2, pp. 869-891
Closed Access | Times Cited: 12
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