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 hybridized model based on neural network and swarm intelligence-grey wolf algorithm for spatial prediction of urban flood-inundation
Hamid Darabi, Ali Torabi Haghighi, Omid Rahmati, et al.
Journal of Hydrology (2021) Vol. 603, pp. 126854-126854
Open Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

Application of Meta-Heuristic Algorithms for Training Neural Networks and Deep Learning Architectures: A Comprehensive Review
Mehrdad Kaveh, Mohammad Saadi Mesgari
Neural Processing Letters (2022) Vol. 55, Iss. 4, pp. 4519-4622
Open Access | Times Cited: 129

Impacts of building configurations on urban stormwater management at a block scale using XGBoost
Shiqi Zhou, Zhiyu Liu, Mo Wang, et al.
Sustainable Cities and Society (2022) Vol. 87, pp. 104235-104235
Closed Access | Times Cited: 68

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

Exploring the additional value of class imbalance distributions on interpretable flash flood susceptibility prediction in the Black Warrior River basin, Alabama, United States
Ömer Ekmekcioğlu, Kerim Koç, Mehmet Özger, et al.
Journal of Hydrology (2022) Vol. 610, pp. 127877-127877
Closed Access | Times Cited: 45

High temporal resolution urban flood prediction using attention-based LSTM models
Lin Zhang, Huapeng Qin, Junqi Mao, et al.
Journal of Hydrology (2023) Vol. 620, pp. 129499-129499
Closed Access | Times Cited: 32

Multi-objective robust optimization of reservoir operation for real-time flood control under forecasting uncertainty
Xinting Yu, Yue‐Ping Xu, Haiting Gu, et al.
Journal of Hydrology (2023) Vol. 620, pp. 129421-129421
Closed Access | Times Cited: 26

Development of a hybrid artificial intelligence model to predict the uniaxial compressive strength of a new aseismic layer made of rubber-sand concrete
Xiancheng Mei, Chuanqi Li, Qian Sheng, et al.
Mechanics of Advanced Materials and Structures (2022) Vol. 30, Iss. 11, pp. 2185-2202
Closed Access | Times Cited: 32

The quantitative assessment of impact of pumping capacity and LID on urban flood susceptibility based on machine learning
Yingying Wu, Dunxian She, Jun Xia, et al.
Journal of Hydrology (2023) Vol. 617, pp. 129116-129116
Closed Access | Times Cited: 18

Application of hybrid model-based deep learning and swarm‐based optimizers for flood susceptibility prediction in Binh Dinh province, Vietnam
Huu Duy Nguyen, Chien Pham Van, Anh Duc
Earth Science Informatics (2023)
Closed Access | Times Cited: 18

Research Progress and Prospects of Urban Flooding Simulation: From Traditional Numerical Models to Deep Learning Approaches
Bowei Zeng, Guoru Huang, Wenjie Chen
Environmental Modelling & Software (2024), pp. 106213-106213
Closed Access | Times Cited: 7

Spatial modeling of flood hazard using machine learning and GIS in Ha Tinh province, Vietnam
Huu Duy Nguyen
Journal of Water and Climate Change (2022) Vol. 14, Iss. 1, pp. 200-222
Open Access | Times Cited: 28

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

Evaluating the effects of climate and land use change on the future flood susceptibility in the central region of Vietnam by integrating land change modeler, machine learning methods
Huu Duy Nguyen, Dinh Kha Dang, Quoc‐Huy Nguyen, et al.
Geocarto International (2022) Vol. 37, Iss. 26, pp. 12810-12845
Closed Access | Times Cited: 22

Sine Cosine Algorithm for Simple recurrent neural network Tuning for Stock Market Prediction
Luka Jovanovic, Nemanja Milutinovic, Masa Gajevic, et al.
2022 30th Telecommunications Forum (TELFOR) (2022)
Closed Access | Times Cited: 20

Novel hybrid models by coupling support vector regression (SVR) with meta-heuristic algorithms (WOA and GWO) for flood susceptibility mapping
Fatemeh Rezaie, Mahdi Panahi, Sayed M. Bateni, et al.
Natural Hazards (2022) Vol. 114, Iss. 2, pp. 1247-1283
Closed Access | Times Cited: 19

Particle swarm and grey wolf optimization: enhancing groundwater quality models through artificial neural networks
Soheil Sahour, Matin Khanbeyki, Vahid Gholami, et al.
Stochastic Environmental Research and Risk Assessment (2023) Vol. 38, Iss. 3, pp. 993-1007
Closed Access | Times Cited: 12

Classification machine learning models for urban flood hazard mapping: case study of Zaio, NE Morocco
Maelaynayn El baida, Farid Boushaba, Mimoun Chourak, et al.
Natural Hazards (2024) Vol. 120, Iss. 11, pp. 10013-10041
Closed Access | Times Cited: 4

Flood risk decomposed: optimized machine learning hazard mapping and multi-criteria vulnerability analysis in the city of Zaio, Morocco.
Maelaynayn El baida, Farid Boushaba, Mimoun Chourak, et al.
Journal of African Earth Sciences (2024), pp. 105431-105431
Closed Access | Times Cited: 4

A deep learning-based probabilistic approach to flash flood warnings in mountainous catchments
Yuting Zhao, Xuemei Wu, Wenjiang Zhang, et al.
Journal of Hydrology (2025) Vol. 652, pp. 132677-132677
Closed Access

Creating a national urban flood dataset for China from news texts (2000–2022) at the county level
Shengnan Fu, David M. Schultz, Heng Lyu, et al.
Hydrology and earth system sciences (2025) Vol. 29, Iss. 3, pp. 767-783
Open Access

Optimization of urban green space in Wuhan based on machine learning algorithm from the perspective of healthy city
Xuechun Zhou, Xiaofei Zou, Wenzuixiong Xiong
Frontiers in Public Health (2025) Vol. 13
Open Access

An overview of flood evacuation planning: Models, methods, and future directions
Chuannan Li, Changbo Jiang, J. Chen, et al.
Journal of Hydrology (2025), pp. 133026-133026
Open Access

Mapping urban heat: Unveiling nature-based solutions in Sari City, Iran.
Teimour Rezaei, Noppol Arunrat, Uthai Chareonwong, et al.
Urban Climate (2024) Vol. 55, pp. 102000-102000
Open Access | Times Cited: 3

Flood hazard mapping in western Iran: assessment of deep learning vis-à-vis machine learning models
Eslam Satarzadeh, Amirpouya Sarraf, Hooman Hajikandi, et al.
Natural Hazards (2021) Vol. 111, Iss. 2, pp. 1355-1373
Closed Access | Times Cited: 22

Susceptibility Assessment of Flash Floods: A Bibliometrics Analysis and Review
Duan Le, Chao Liu, Hui Xu, et al.
Remote Sensing (2022) Vol. 14, Iss. 21, pp. 5432-5432
Open Access | Times Cited: 13

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