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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:

Assessing flood severity from crowdsourced social media photos with deep neural networks
Jorge Pereira, João Monteiro, Joel Silva, et al.
Multimedia Tools and Applications (2020) Vol. 79, Iss. 35-36, pp. 26197-26223
Closed Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Deep learning methods for flood mapping: a review of existing applications and future research directions
Roberto Bentivoglio, Elvin Isufi, Sebastiaan N. Jonkman, et al.
Hydrology and earth system sciences (2022) Vol. 26, Iss. 16, pp. 4345-4378
Open Access | Times Cited: 197
How computer vision can facilitate flood management: A systematic review
Umair Iqbal, Pascal Perez, Wanqing Li, et al.
International Journal of Disaster Risk Reduction (2021) Vol. 53, pp. 102030-102030
Closed Access | Times Cited: 68
The promise of a “people-centred” approach to floods: Types of participation in the global literature of citizen science and community-based flood risk reduction in the context of the Sendai Framework
Erich Wolff
Progress in Disaster Science (2021) Vol. 10, pp. 100171-100171
Open Access | Times Cited: 57
Artificial neural network approaches for disaster management: A literature review
Sreeparna Guha, Rabin K. Jana, Manas Kumar Sanyal
International Journal of Disaster Risk Reduction (2022) Vol. 81, pp. 103276-103276
Closed Access | Times Cited: 55
Comparative study of convolutional neural network (CNN) and support vector machine (SVM) for flood susceptibility mapping: a case study at Ras Gharib, Red Sea, Egypt
Ahmed M. Youssef, Biswajeet Pradhan, Abhirup Dikshit, et al.
Geocarto International (2022) Vol. 37, Iss. 26, pp. 11088-11115
Closed Access | Times Cited: 50
Achieving fine-grained urban flood perception and spatio-temporal evolution analysis based on social media
Zhiyu Yan, Xiaogang Guo, Zilong Zhao, et al.
Sustainable Cities and Society (2023) Vol. 101, pp. 105077-105077
Closed Access | Times Cited: 39
An integrated convolutional neural network and sorting algorithm for image classification for efficient flood disaster management
Md. Azharul Islam, Shawkh Ibne Rashid, Niamat Ullah Ibne Hossain, et al.
Decision Analytics Journal (2023) Vol. 7, pp. 100225-100225
Open Access | Times Cited: 26
Integrated community-based approaches to urban pluvial flooding research, trends and future directions: A review
Koorosh Azizi, Stephen Kofi Diko, Laura Saija, et al.
Urban Climate (2022) Vol. 44, pp. 101237-101237
Closed Access | Times Cited: 34
Rapid urban flood risk mapping for data-scarce environments using social sensing and region-stable deep neural network
Lin Lin, Chaoqing Tang, Qiuhua Liang, et al.
Journal of Hydrology (2022) Vol. 617, pp. 128758-128758
Open Access | Times Cited: 30
Deep Learning Methods for Flood Mapping: A Review of Existing Applications and Future Research Directions
Roberto Bentivoglio, Elvin Isufi, Sebastiaan N. Jonkman, et al.
(2022)
Open Access | Times Cited: 24
Estimating the likelihood of roadway pluvial flood based on crowdsourced traffic data and depression-based DEM analysis
Arefeh Safaei-moghadam, David G. Tarboton, Barbara Minsker
Natural hazards and earth system sciences (2023) Vol. 23, Iss. 1, pp. 1-19
Open Access | Times Cited: 14
Flood severity classification in Bangladesh: a comprehensive analysis of historical weather and water level data using machine learning approaches
Fariha Zaman Nishat, Nurun Nahar, Farhana Ireen Joti, et al.
Natural Hazards (2025)
Closed Access
Large-scale high-resolution hydrodynamic modelling of urban floods: Some practical considerations
Xiaodong Ming, Qiuhua Liang, Jinghua Jiang
Journal of Hydro-environment Research (2025), pp. 100655-100655
Open Access
A deep learning technique based flood propagation experiment
Jingming Hou, Xuan Li, Ganggang Bai, et al.
Journal of Flood Risk Management (2021) Vol. 14, Iss. 3
Closed Access | Times Cited: 26
Application of Social Sensors in Natural Disasters Emergency Management: A Review
Kaize Shi, Xueping Peng, Hao Lü, et al.
IEEE Transactions on Computational Social Systems (2022) Vol. 10, Iss. 6, pp. 3143-3158
Closed Access | Times Cited: 18
Deep learning-based assessment of flood severity using social media streams
A. Krishna Kanth, P. Chitra, Gayathri Sowmya G
Stochastic Environmental Research and Risk Assessment (2022) Vol. 36, Iss. 2, pp. 473-493
Closed Access | Times Cited: 17
Mapping Flood Exposure, Damage, and Population Needs Using Remote and Social Sensing: A Case Study of 2022 Pakistan Floods
Zainab Akhtar, Umair Qazi, Rizwan Sadiq, et al.
Proceedings of the ACM Web Conference 2022 (2023), pp. 4120-4128
Closed Access | Times Cited: 8
Drone-Based Water Level Detection in Flood Disasters
Hamada Rizk, Yukako Nishimur, Hirozumi Yamaguchi, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 19, Iss. 1, pp. 237-237
Open Access | Times Cited: 19
Anomalous human activity fluctuations from digital trace data signal flood inundation status
Hamed Farahmand, Wanqiu Wang, Ali Mostafavi, et al.
Environment and Planning B Urban Analytics and City Science (2022) Vol. 49, Iss. 7, pp. 1893-1911
Closed Access | Times Cited: 13
Towards development of a roadway flood severity index
Curtis Walker, Amanda Siems-Anderson, Erin Towler, et al.
Transportation Research Interdisciplinary Perspectives (2024) Vol. 27, pp. 101218-101218
Open Access | Times Cited: 2
Deep Sensing of Urban Waterlogging
Shi-Wei Lo, Jyh-Horng Wu, Jo-Yu Chang, et al.
IEEE Access (2021) Vol. 9, pp. 127185-127203
Open Access | Times Cited: 11
Unveiling dialysis centers’ vulnerability and access inequality during urban flooding
Faxi Yuan, Hamed Farahmand, Russell Blessing, et al.
Transportation Research Part D Transport and Environment (2023) Vol. 125, pp. 103920-103920
Closed Access | Times Cited: 3
Extraction of SIFT Features for Identifying Disaster Hit areas using Machine Learning Techniques
Vimal Kumar, Ahmed Al‐Emran, Shashi Kant Gupta, et al.
(2022), pp. 1-5
Closed Access | Times Cited: 5
The Techno-politics of Crowdsourced Disaster Data in the Smart City
Erich Wolff, Felipe Muñoz
Frontiers in Sustainable Cities (2021) Vol. 3
Open Access | Times Cited: 4
A hybrid convolutional neural network model coupled with AdaBoost regressor for flood mapping using geotagged flood photographs
Swati Sirsant, Gilbert Hinge, Harsh Singh, et al.
Natural Hazards (2024)
Closed Access
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