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:

Integration of hard and soft supervised machine learning for flood susceptibility mapping
Soghra Andaryani, Vahid Nourani, Ali Torabi Haghighi, et al.
Journal of Environmental Management (2021) Vol. 291, pp. 112731-112731
Open Access | Times Cited: 72

Showing 26-50 of 72 citing articles:

Flood susceptibility prediction using MaxEnt and frequency ratio modeling for Kokcha River in Afghanistan
Abdul Baser Qasimi, Vahid Isazade, Ronny Berndtsson
Natural Hazards (2023) Vol. 120, Iss. 2, pp. 1367-1394
Closed Access | Times Cited: 11

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

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

Contrast or Diversity: Non-Flood sampling in urban flood susceptibility modelling
Huabing Huang, Zhiwen Tao, Jiayin Zhan, et al.
Journal of Hydrology (2025), pp. 133053-133053
Closed Access

Enhancing flash flood susceptibility modeling in arid regions: integrating digital soil mapping and machine learning algorithms
Zahra Sheikh, Ali Asghar Zolfaghari, Maryam Raeesi, et al.
Environmental Earth Sciences (2025) Vol. 84, Iss. 6
Closed Access

Best Practices for Applying and Interpreting the Total Operating Characteristic
Tanner Honnef, Robert Gilmore Pontius
ISPRS International Journal of Geo-Information (2025) Vol. 14, Iss. 4, pp. 134-134
Open Access

Uncertainty pattern and an integration strategy in flood susceptibility modeling: Limited sample size
Jun Liu, Xueqiang Zhao, Yangbo Chen, et al.
Journal of Hydrology (2025), pp. 133184-133184
Closed Access

A Comparative Analysis of Machine Learning Models for Simulating, Classifying, and Assessment River Inflow
Ali Najah Ahmed, Nguyen Van Thieu, Kai Lun Chong, et al.
Water Resources Management (2025)
Closed Access

Analysis of the Utilization of Machine Learning to Map Flood Susceptibility
Ali Pourzangbar, Peter Oberle, Andreas Kron, et al.
Journal of Flood Risk Management (2025) Vol. 18, Iss. 2
Open Access

Landslides and flood multi-hazard assessment using machine learning techniques
Ahmed M. Youssef, Ali M. Mahdi, Hamid Reza Pourghasemi
Bulletin of Engineering Geology and the Environment (2022) Vol. 81, Iss. 9
Closed Access | Times Cited: 16

Assessing the spatial pattern of supply-demand mismatches in ecosystem flood regulation service: A case study in Xiamen
Ziyuan Luo, Jian Tian, Jian Zeng, et al.
Applied Geography (2023) Vol. 160, pp. 103113-103113
Closed Access | Times Cited: 9

Impact of Structural and Non-Structural Measures on the Risk of Flash Floods in Arid and Semi-Arid Regions: A Case Study of the Gash River, Kassala, Eastern Sudan
Kamal Abdelrahim Mohamed Shuka, Ke Wang, Ghali Abdullahi Abubakar, et al.
Sustainability (2024) Vol. 16, Iss. 5, pp. 1752-1752
Open Access | Times Cited: 3

Learning-Based Methods for Detection and Monitoring of Shallow Flood-Affected Areas: Impact of Shallow-Flood Spreading on Vegetation Density
Mohammad Kazemi Garajeh, Qihao Weng, Vahid Hossein Haghi, et al.
Canadian Journal of Remote Sensing (2022) Vol. 48, Iss. 4, pp. 481-503
Closed Access | Times Cited: 15

An assessment on the off-road trafficability using a quantitative rule method with geographical and geological data
K. L. He, Yusen Dong, Wei Han, et al.
Computers & Geosciences (2023) Vol. 177, pp. 105355-105355
Closed Access | Times Cited: 8

STFS-urban: Spatio-temporal flood simulation model for urban areas
Zongkui Guan, Yiwen Chen, Zhao Yu, et al.
Journal of Environmental Management (2023) Vol. 349, pp. 119289-119289
Open Access | Times Cited: 8

Investigation and Evaluation of Land Use–Land Cover Change Effects on Current and Future Flood Susceptibility
Mojtaba Rashidiyan, Majid Rahimzadegan
Natural Hazards Review (2023) Vol. 25, Iss. 1
Closed Access | Times Cited: 7

Flood susceptibility mapping using ANNs: a case study in model generalization and accuracy from Ontario, Canada
Rahma Khalid, Usman T. Khan
Geocarto International (2024) Vol. 39, Iss. 1
Open Access | Times Cited: 2

Harnessing multisatellite remote sensing data and machine learning for flood risk assessment in Nam Ngum River Basin, Lao PDR
Sackdavong Mangkhaseum, Sunil Duwal, Yogesh Bhattarai, et al.
(2024), pp. 11-11
Closed Access | Times Cited: 2

An Inverse-Occurrence Sampling Approach for Urban Flood Susceptibility Mapping
Changpeng Wang, Yangchun Lin, Zhiwen Tao, et al.
Remote Sensing (2023) Vol. 15, Iss. 22, pp. 5384-5384
Open Access | Times Cited: 5

FLOOD SUSCEPTIBILITY ANALYSIS USING FREELY AVAILABLE DATA, GIS, AND FREQUENCY RATIO MODEL FOR NAGPUR, INDIA
N.T. GAURKHEDE, Vinayak S. Adane
Applied Ecology and Environmental Research (2023) Vol. 21, Iss. 3, pp. 2341-2361
Open Access | Times Cited: 4

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

Analysis of the utilization of machine learning to map flood susceptibility
Ali Pourzangbar, Peter Oberle, Andreas Kron, et al.
(2024)
Closed Access | Times Cited: 1

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