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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:

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

Showing 19 citing articles:

Flash Flood Susceptibility Modelling Using Soft Computing-Based Approaches: From Bibliometric to Meta-Data Analysis and Future Research Directions
Gilbert Hinge, Mohamed A. Hamouda, Mohamed Mostafa Mohamed
Water (2024) Vol. 16, Iss. 1, pp. 173-173
Open Access | Times Cited: 12
Global Review of Modification, Optimization, and Improvement Models for Aquifer Vulnerability Assessment in the Era of Climate Change
Mojgan Bordbar, Fatemeh Rezaie, Sayed M. Bateni, et al.
Current Climate Change Reports (2024) Vol. 9, Iss. 4, pp. 45-67
Closed Access | Times Cited: 9
Flood susceptibility mapping of Cheongju, South Korea based on the integration of environmental factors using various machine learning approaches
Liadira Kusuma Widya, Fatemeh Rezaie, Woojin Lee, et al.
Journal of Environmental Management (2024) Vol. 364, pp. 121291-121291
Closed Access | Times Cited: 7
Examination of the efficacy of machine learning approaches in the generation of flood susceptibility maps
Mohamed Wahba, Mahmoud Sharaan, Wael M. Elsadek, et al.
Environmental Earth Sciences (2024) Vol. 83, Iss. 14
Open Access | Times Cited: 7
Enhancing the Performance of Machine Learning and Deep Learning-Based Flood Susceptibility Models by Integrating Grey Wolf Optimizer (GWO) Algorithm
Ali Nouh Mabdeh, R. S. Ajin, Seyed Vahid Razavi-Termeh, et al.
Remote Sensing (2024) Vol. 16, Iss. 14, pp. 2595-2595
Open Access | Times Cited: 7
Ensemble-based forecasting of wildfire potentials using relative index in Gangwon Province, South Korea
Sang Yeob Kim, Changhyun Jun, Wooyoung Na
Ecological Informatics (2025), pp. 103021-103021
Open Access
Unveiling global flood hotspots: Optimized machine learning techniques for enhanced flood susceptibility modeling
Mahdi Panahi, Khabat Khosravi, Fatemeh Rezaie, et al.
Journal of Hydrology Regional Studies (2025) Vol. 58, pp. 102285-102285
Closed Access
Dust detection and susceptibility mapping by aiding satellite imagery time series and integration of ensemble machine learning with evolutionary algorithms
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Rizwan Ali Naqvi, et al.
Environmental Pollution (2023) Vol. 335, pp. 122241-122241
Closed Access | Times Cited: 8
A Country Wide Evaluation of Sweden's Spatial Flood Modeling With Optimized Convolutional Neural Network Algorithms
Mahdi Panahi, Khabat Khosravi, Fatemeh Rezaie, et al.
Earth s Future (2023) Vol. 11, Iss. 11
Open Access | Times Cited: 8
Development of novel optimized deep learning algorithms for wildfire modeling: A case study of Maui, Hawai‘i
Fatemeh Rezaie, Mahdi Panahi, Sayed M. Bateni, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106699-106699
Closed Access | Times Cited: 7
Cluster energy prediction based on multiple strategy fusion whale optimization algorithm and light gradient boosting machine
Wu Wei, Mengshan Li, Wu Yan, et al.
BMC Chemistry (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 2
PM2.5 prediction based on modified whale optimization algorithm and support vector regression
Zuhan Liu, Xin Huang, Xing Wang
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Transferability of machine-learning-based modeling frameworks across flood events for hindcasting maximum river water depths in coastal watersheds
Maryam Pakdehi, Ebrahim Ahmadisharaf, Behzad Nazari, et al.
Natural hazards and earth system sciences (2024) Vol. 24, Iss. 10, pp. 3537-3559
Open Access | Times Cited: 2
Remaining useful life prediction for equipment based on RF-BiLSTM
Zhiqiang Wu, Zhenxi Wang, Huihui Wei, et al.
AIP Advances (2022) Vol. 12, Iss. 11
Open Access | Times Cited: 8
Flood susceptibility modeling by integrating tree‐based regression with metaheuristic algorithm, BWO
Deba Prakash Satapathy, Bibhu Prasad Mishra
Transactions in GIS (2024) Vol. 28, Iss. 5, pp. 1043-1064
Closed Access | Times Cited: 1
Flood assessment using machine learning and its implications for coastal spatial planning in Phu Yen Province, Vietnam
Van Truong Tran, Huu Duy Nguyen, Dang Thi Ngoc, et al.
Journal of Water and Climate Change (2024) Vol. 15, Iss. 8, pp. 3738-3761
Open Access | Times Cited: 1
Cutting-Edge strategies for absence data identification in natural hazards: Leveraging Voronoi-Entropy in flood susceptibility mapping with advanced AI techniques
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Farman Ali, et al.
Journal of Hydrology (2024), pp. 132337-132337
Closed Access | Times Cited: 1
Hybrid-based approaches for the flood susceptibility prediction of Kermanshah province, Iran
Sina Paryani, Mojgan Bordbar, Changhyun Jun, et al.
Natural Hazards (2022) Vol. 116, Iss. 1, pp. 837-868
Closed Access | Times Cited: 7
Sales Volume Forecast of Typical Auto Parts Based on BiGRU: A Case Study
Chunqiang Lu, Gang Shang, Liyun Xu, et al.
E3S Web of Conferences (2023) Vol. 409, pp. 04008-04008
Open Access | Times Cited: 1
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