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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:

Flood susceptibility modeling and hazard perception in Rwanda
Richard Mind’je, Lanhai Li, Amobichukwu Chukwudi Amanambu, et al.
International Journal of Disaster Risk Reduction (2019) Vol. 38, pp. 101211-101211
Closed Access | Times Cited: 116

Showing 1-25 of 116 citing articles:

Prediction Success of Machine Learning Methods for Flash Flood Susceptibility Mapping in the Tafresh Watershed, Iran
Saeid Janizadeh, Mohammadtaghi Avand, Abolfazl Jaafari, et al.
Sustainability (2019) Vol. 11, Iss. 19, pp. 5426-5426
Open Access | Times Cited: 234
Flood hazard mapping methods: A review
Rofiat Bunmi Mudashiru, Nuridah Sabtu, Ismail Abustan, et al.
Journal of Hydrology (2021) Vol. 603, pp. 126846-126846
Closed Access | Times Cited: 233
Comprehensive risk assessment of typhoon disasters in China's coastal areas based on multi-source geographic big data
Zhenkang Wang, Nan Xia, Xin Zhao, et al.
The Science of The Total Environment (2024) Vol. 926, pp. 171815-171815
Closed Access | Times Cited: 19
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 | Times Cited: 2
Flood susceptibility prediction using four machine learning techniques and comparison of their performance at Wadi Qena Basin, Egypt
Bosy A. El‐Haddad, Ahmed M. Youssef, Hamid Reza Pourghasemi, et al.
Natural Hazards (2020) Vol. 105, Iss. 1, pp. 83-114
Open Access | Times Cited: 94
Risk assessment and its influencing factors analysis of geological hazards in typical mountain environment
Jinhuang Lin, Wenhui Chen, Xinhua Qi, et al.
Journal of Cleaner Production (2021) Vol. 309, pp. 127077-127077
Closed Access | Times Cited: 90
Landslide susceptibility and influencing factors analysis in Rwanda
Richard Mind’je, Lanhai Li, Jean Baptiste Nsengiyumva, et al.
Environment Development and Sustainability (2019) Vol. 22, Iss. 8, pp. 7985-8012
Closed Access | Times Cited: 80
Prediction of highly flood prone areas by GIS based heuristic and statistical model in a monsoon dominated region of Bengal Basin
Sadhan Malik, Subodh Chandra Pal, Indrajit Chowdhuri, et al.
Remote Sensing Applications Society and Environment (2020) Vol. 19, pp. 100343-100343
Closed Access | Times Cited: 80
Flood Hazard and Risk Mapping by Applying an Explainable Machine Learning Framework Using Satellite Imagery and GIS Data
Gerasimos Antzoulatos, Ioannis-Omiros Kouloglou, Marios Bakratsas, et al.
Sustainability (2022) Vol. 14, Iss. 6, pp. 3251-3251
Open Access | Times Cited: 63
Flood susceptibility mapping using meta-heuristic algorithms
Alireza Arabameri, Amir Seyed Danesh, M. Santosh, et al.
Geomatics Natural Hazards and Risk (2022) Vol. 13, Iss. 1, pp. 949-974
Open Access | Times Cited: 57
Flood Risk Perception and Its Attributes among Rural Households under Developing Country Conditions: The Case of Pakistan
Ashfaq Ahmad Shah, Chen Ajiang, Nasir Abbas Khan, et al.
Water (2022) Vol. 14, Iss. 6, pp. 992-992
Open Access | Times Cited: 57
Assessment Analysis of Flood Susceptibility in Tropical Desert Area: A Case Study of Yemen
Ali R. Al-Aizari, Yousef A. Al-Masnay, Ali Aydda, et al.
Remote Sensing (2022) Vol. 14, Iss. 16, pp. 4050-4050
Open Access | Times Cited: 44
Flood, landslides, forest fire, and earthquake susceptibility maps using machine learning techniques and their combination
Hamid Reza Pourghasemi, Soheila Pouyan, Mojgan Bordbar, et al.
Natural Hazards (2023) Vol. 116, Iss. 3, pp. 3797-3816
Open Access | Times Cited: 42
Development of a new integrated flood resilience model using machine learning with GIS-based multi-criteria decision analysis
Muhammad Hussain, Muhammad Tayyab, Kashif Ullah, et al.
Urban Climate (2023) Vol. 50, pp. 101589-101589
Closed Access | Times Cited: 34
GIS-based landslide susceptibility mapping of Western Rwanda: an integrated artificial neural network, frequency ratio, and Shannon entropy approach
Vincent E. Nwazelibe, Johnbosco C. Egbueri, Chinanu O. Unigwe, et al.
Environmental Earth Sciences (2023) Vol. 82, Iss. 19
Closed Access | Times Cited: 26
Flood susceptibility assessment using machine learning approach in the Mohana-Khutiya River of Nepal
Menuka Maharjan, Sachin Timilsina, Santosh Ayer, et al.
Natural Hazards Research (2024) Vol. 4, Iss. 1, pp. 32-45
Open Access | Times Cited: 15
Enhancing flood-prone area mapping: fine-tuning the K-nearest neighbors (KNN) algorithm for spatial modelling
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Saman Razavi, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 9
Flash Flood Susceptibility Assessment Based on Geodetector, Certainty Factor, and Logistic Regression Analyses in Fujian Province, China
Yifan Cao, Hongliang Jia, Junnan Xiong, et al.
ISPRS International Journal of Geo-Information (2020) Vol. 9, Iss. 12, pp. 748-748
Open Access | Times Cited: 65
Comparing performance of random forest and adaptive neuro-fuzzy inference system data mining models for flood susceptibility mapping
Mehdi Vafakhah, Sajad Mohammad Hasani Loor, Hamid Reza Pourghasemi, et al.
Arabian Journal of Geosciences (2020) Vol. 13, Iss. 11
Closed Access | Times Cited: 61
Hybrid approach for flood susceptibility assessment in a flood-prone mountainous catchment in China
Lei Fang, Jinliang Huang, Juntao Cai, et al.
Journal of Hydrology (2022) Vol. 612, pp. 128091-128091
Closed Access | Times Cited: 36
Spatial Analysis of Flood Hazard Zoning Map Using Novel Hybrid Machine Learning Technique in Assam, India
Chiranjit Singha, Kishore Chandra Swain, Modeste Meliho, et al.
Remote Sensing (2022) Vol. 14, Iss. 24, pp. 6229-6229
Open Access | Times Cited: 35
Hydrological Drought Forecasting Using a Deep Transformer Model
Amobichukwu C. Amanambu, Joann Mossa, Yin‐Hsuen Chen
Water (2022) Vol. 14, Iss. 22, pp. 3611-3611
Open Access | Times Cited: 31
Integrated approach for spatial flood susceptibility assessment in Bhagirathi sub‐basin, India using entropy information theory and geospatial technology
Sufia Rehman, Mohd Sayeed Ul Hasan, Abhishek Kumar, et al.
Risk Analysis (2022) Vol. 42, Iss. 12, pp. 2765-2780
Closed Access | Times Cited: 30
Use of machine learning algorithms to assess flood susceptibility in the coastal area of Bangladesh
Md. Hasibul Hasan, Asib Ahmed, K. M. Nafee, et al.
Ocean & Coastal Management (2023) Vol. 236, pp. 106503-106503
Closed Access | Times Cited: 23
Flood hazard forecasting and management systems: A review of state-of-the-art modelling, management strategies and policy-practice gap
Dipankar Ruidas, Subodh Chandra Pal, Asish Saha, et al.
International Journal of Disaster Risk Reduction (2024) Vol. 108, pp. 104539-104539
Closed Access | Times Cited: 7
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