OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Detection of Urban Flood Inundation from Traffic Images Using Deep Learning Methods
Pengcheng Zhong, Yueyi Liu, Hang Zheng, et al.
Water Resources Management (2023) Vol. 38, Iss. 1, pp. 287-301
Open Access | Times Cited: 19

Showing 19 citing articles:

Enhancing Flood Susceptibility Modeling: a Hybrid Deep Neural Network with Statistical Learning Algorithms for Predicting Flood Prone Areas
Motrza Ghobadi, Masumeh Ahmadipari
Water Resources Management (2024) Vol. 38, Iss. 8, pp. 2687-2710
Open Access | Times Cited: 8

A Systematic Literature Review on Classification Machine Learning for Urban Flood Hazard Mapping
Maelaynayn El baida, Mohamed Hosni, Farid Boushaba, et al.
Water Resources Management (2024) Vol. 38, Iss. 15, pp. 5823-5864
Closed Access | Times Cited: 5

Drowning overconfidence with uncertainty: mitigating deep learning overconfidence in flood depth super-resolution through maximum entropy regularization
Maelaynayn El baida, Farid Boushaba, Mimoun Chourak
Stochastic Environmental Research and Risk Assessment (2025)
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

Refraction-based waterlogging depth measurement using solely traffic cameras for transparent flood monitoring
Jintao Qin, Ping Shen
Journal of Hydrology (2025), pp. 132917-132917
Closed Access

Disaster Management Systems: Utilizing YOLOv9 for Precise Monitoring of River Flood Flow Levels Using Video Surveillance
G. Shankar, M. Kalaiselvi Geetha, P. Ezhumalai
SN Computer Science (2025) Vol. 6, Iss. 3
Closed Access

A Pioneering DelugeNet Model with Optimization for Enhanced Urban Flood Detection and Analysis
G. Vasumathi, R. Bha vani
Water Resources Management (2025)
Closed Access

State-of-the-Art Techniques for Real-Time Monitoring of Urban Flooding: A Review
Jiayi Song, Zhiyu Shao, Ziyi Zhan, et al.
Water (2024) Vol. 16, Iss. 17, pp. 2476-2476
Open Access | Times Cited: 4

Analyzing Urban Drinking Water System Vulnerabilities and Locating Relief Points for Urban Drinking Water Emergencies
Mohammad Kazemi Garajeh, Bakhtiar Feizizadeh, Behnam Salmani, et al.
Water Resources Management (2024) Vol. 38, Iss. 7, pp. 2339-2358
Open Access | Times Cited: 3

Automatic detection of urban flood level with YOLOv8 using flooded vehicle dataset
Jiaquan Wan, Youwei Qin, Yufang Shen, et al.
Journal of Hydrology (2024) Vol. 639, pp. 131625-131625
Closed Access | Times Cited: 3

Assessing the Catastrophic Environmental Impacts on Dam Breach Using Remote Sensing and Google Earth Engine
Rasha M. Abou Samra, R.R. Alí, Bijay Halder, et al.
Water Resources Management (2024) Vol. 38, Iss. 13, pp. 5079-5095
Closed Access | Times Cited: 2

Use of Artificial Intelligence Modelling for the Dynamic Simulation of Urban Catchment Runoff
Harshanth Balacumaresan, Monzur Alam Imteaz, Md. Abdul Aziz, et al.
Water Resources Management (2024) Vol. 38, Iss. 10, pp. 3657-3683
Open Access | Times Cited: 2

DSC-YOLOv8n: An advanced automatic detection algorithm for urban flood levels
Jiaquan Wan, Yufang Shen, Fengchang Xue, et al.
Journal of Hydrology (2024) Vol. 643, pp. 132028-132028
Closed Access | Times Cited: 2

Estimating Water Levels through Smartphone-Imaged Gauges: A Comparative Analysis of ANN, DL, and CNN Models
Celso Augusto Guimarães Santos, Mohammad Ali Ghorbani, Erfan Abdi, et al.
Water Resources Management (2024)
Closed Access | Times Cited: 1

Bew-Yolov8: A Deep Learning Model for Multi-Scene and Multi-Scale Flood Depth Estimation
Bo Liu, Yingbing Li, Xiaoke Feng, et al.
(2024)
Closed Access

BEW-YOLOv8: A deep learning model for multi-scene and multi-scale flood depth estimation
Bo Liu, Yingbing Li, Xiaoke Feng, et al.
Journal of Hydrology (2024) Vol. 645, pp. 132139-132139
Closed Access

Assessing Large Multimodal Models for Urban Floodwater Depth Estimation
Heng Lyu, Shunan Zhou, Ze Wang, et al.
Authorea (Authorea) (2024)
Open Access

Page 1

Scroll to top