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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:

A hybrid deep learning model for predictive flood warning and situation awareness using channel network sensors data
Shangjia Dong, Tianbo Yu, Hamed Farahmand, et al.
Computer-Aided Civil and Infrastructure Engineering (2020) Vol. 36, Iss. 4, pp. 402-420
Open Access | Times Cited: 49

Showing 1-25 of 49 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: 189
The State of the Art in Deep Learning Applications, Challenges, and Future Prospects: A Comprehensive Review of Flood Forecasting and Management
Vijendra Kumar, Hazi Mohammad Azamathulla, Kul Vaibhav Sharma, et al.
Sustainability (2023) Vol. 15, Iss. 13, pp. 10543-10543
Open Access | Times Cited: 98
Diagnostic of autism spectrum disorder based on structural brain MRI images using, grid search optimization, and convolutional neural networks
H. Selçuk Noğay, Hojjat Adeli
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104234-104234
Closed Access | Times Cited: 71
Time series forecasting using ensemble learning methods for emergency prevention in hydroelectric power plants with dam
Stéfano Frizzo Stefenon, Matheus Henrique Dal Molin Ribeiro, Ademir Nied, et al.
Electric Power Systems Research (2021) Vol. 202, pp. 107584-107584
Closed Access | Times Cited: 85
Deep convolutional generative adversarial networks for the generation of numerous artificial spectrum‐compatible earthquake accelerograms using a limited number of ground motion records
Mehrshad Matinfar, Naser Khaji, Goodarz Ahmadi
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 38, Iss. 2, pp. 225-240
Closed Access | Times Cited: 40
A spatial–temporal graph deep learning model for urban flood nowcasting leveraging heterogeneous community features
Hamed Farahmand, Yuanchang Xu, Ali Mostafavi
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 32
Dual-Modal Information Bottleneck Network for Seizure Detection
Jiale Wang, Xinting Ge, Yunfeng Shi, et al.
International Journal of Neural Systems (2023) Vol. 33, Iss. 01
Closed Access | Times Cited: 22
An integrated risk-based early warning system to increase community resilience against disaster
A.M. Haque, Shampa Shampa, Marin Akter, et al.
Progress in Disaster Science (2024) Vol. 21, pp. 100310-100310
Open Access | Times Cited: 10
Estimation of railway track longitudinal irregularity using vehicle response with information compression and Bayesian deep learning
Chenzhong Li, Qing He, Ping Wang
Computer-Aided Civil and Infrastructure Engineering (2021) Vol. 37, Iss. 10, pp. 1260-1276
Closed Access | Times Cited: 40
Critical facility accessibility rapid failure early-warning detection and redundancy mapping in urban flooding
Utkarsh Gangwal, Shangjia Dong
Reliability Engineering & System Safety (2022) Vol. 224, pp. 108555-108555
Closed Access | Times Cited: 28
Smart management of combined sewer overflows: From an ancient technology to artificial intelligence
M. Matin Saddiqi, Wanqing Zhao, Sarah Cotterill, et al.
Wiley Interdisciplinary Reviews Water (2023) Vol. 10, Iss. 3
Open Access | Times Cited: 19
Hybrid multilayer perceptron and convolutional neural network model to predict extreme regional precipitation dominated by the large-scale atmospheric circulation
Qin Jiang, Francesco Cioffi, Weiyue Li, et al.
Atmospheric Research (2024) Vol. 304, pp. 107362-107362
Closed Access | Times Cited: 5
Deep learning based identification and uncertainty analysis of metro train induced ground-borne vibration
Weifeng Liu, Ruihua Liang, Hougui Zhang, et al.
Mechanical Systems and Signal Processing (2022) Vol. 189, pp. 110062-110062
Closed Access | Times Cited: 26
A Network Observability Framework for Sensor Placement in Flood Control Networks to Improve Flood Situational Awareness and Risk Management
Hamed Farahmand, Xueming Liu, Shangjia Dong, et al.
Reliability Engineering & System Safety (2022) Vol. 221, pp. 108366-108366
Open Access | Times Cited: 25
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
Enzymatic Numerical Spiking Neural Membrane Systems and their Application in Designing Membrane Controllers
Luping Zhang, Fei Xu, Dongyang Xiao, et al.
International Journal of Neural Systems (2022) Vol. 32, Iss. 11
Open Access | Times Cited: 24
Human-centered flood mapping and intelligent routing through augmenting flood gauge data with crowdsourced street photos
Bahareh Alizadeh, Diya Li, Julia Hillin, et al.
Advanced Engineering Informatics (2022) Vol. 54, pp. 101730-101730
Open Access | Times Cited: 24
Using machine learning to analyze and predict construction task productivity
Laura Flórez, Zhiyuan Song, Jean C. Cortissoz
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 37, Iss. 12, pp. 1602-1616
Open Access | Times Cited: 21
Flooddamagecast: Building Flood Damage Nowcasting with Machine Learning and Data Augmentation
Chia-Fu Liu, Lipai Huang, Kai Yin, et al.
(2024)
Open Access | Times Cited: 3
Hydro-informer: a deep learning model for accurate water level and flood predictions
Wael Almikaeel, Andrej Šoltész, Lea Čubanová, et al.
Natural Hazards (2024)
Open Access | Times Cited: 3
Machine Learning and Urban Drainage Systems: State-of-the-Art Review
Soon Ho Kwon, Joong Hoon Kim
Water (2021) Vol. 13, Iss. 24, pp. 3545-3545
Open Access | Times Cited: 21
Random fields representation over manifolds via isometric feature mapping‐based dimension reduction
De‐Cheng Feng, Yan‐Ping Liang, Xiaodan Ren, et al.
Computer-Aided Civil and Infrastructure Engineering (2021) Vol. 37, Iss. 5, pp. 593-611
Closed Access | Times Cited: 20
Predictive multi-watershed flood monitoring using deep learning on integrated physical and social sensors data
Shangjia Dong, Tianbo Yu, Hamed Farahmand, et al.
Environment and Planning B Urban Analytics and City Science (2022) Vol. 49, Iss. 7, pp. 1838-1856
Closed Access | Times Cited: 14
Optimal planning of flood‐resilient electric vehicle charging stations
Qian Zhang, Hao Yu, Guohui Zhang, et al.
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 38, Iss. 4, pp. 489-507
Closed Access | Times Cited: 14
Artificial Intelligence and Deep Learning in Civil Engineering
Ayla Ocak, Sinan Melih Niğdeli, Gebrai̇l Bekdaş, et al.
Studies in systems, decision and control (2023), pp. 265-288
Closed Access | Times Cited: 8
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