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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:

Evaluation of flood susceptibility prediction based on a resampling method using machine learning
Septianto Aldiansyah, Farida Wardani
Journal of Water and Climate Change (2023) Vol. 14, Iss. 3, pp. 937-961
Open Access | Times Cited: 21

Showing 21 citing articles:

Leveraging machine learning and open-source spatial datasets to enhance flood susceptibility mapping in transboundary river basin
Yogesh Bhattarai, Sunil Duwal, Sanjib Sharma, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 16
Metaheuristic-driven enhancement of categorical boosting algorithm for flood-prone areas mapping
Seyed Vahid Razavi-Termeh, Ali Pourzangbar, Abolghasem Sadeghi‐Niaraki, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 136, pp. 104357-104357
Closed Access | Times Cited: 1
Flood susceptibility mapping leveraging open-source remote-sensing data and machine learning approaches in Nam Ngum River Basin (NNRB), Lao PDR
Sackdavong Mangkhaseum, Yogesh Bhattarai, Sunil Duwal, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 6
Flood hazard mapping using GIS-based statistical model in vulnerable riparian regions of sub-tropical environment
Anitabha Ghosh, Uday Chatterjee, Subodh Chandra Pal, et al.
Geocarto International (2023) Vol. 38, Iss. 1
Open Access | Times Cited: 14
Assessment of resampling methods on performance of landslide susceptibility predictions using machine learning in Kendari City, Indonesia
Septianto Aldiansyah, Farida Wardani
Water Practice & Technology (2024) Vol. 19, Iss. 1, pp. 52-81
Open Access | Times Cited: 5
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
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
Assessing Potential Distributions of Bird Endemic Species: Case Studies of Macrocephalon maleo and Rhyticeros cassidix and Their Threats
Septianto Aldiansyah, Risna Risna, Randi Adrian Saputra
Geomatics and Environmental Engineering (2024) Vol. 18, Iss. 3, pp. 45-61
Open Access | Times Cited: 2
Enhancing flood mapping through ensemble machine learning in the Gamasyab watershed, Western Iran
Mohammad Bashirgonbad, Behnoush Farokhzadeh, Vahid Gholami
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 38, pp. 50427-50442
Closed Access | Times Cited: 2
Rapid Flood Inundation Mapping Using Multi-Temporal Sentinel-1 SAR: An Example from Kendari City
Septianto Aldiansyah, Randi Adrian Saputra, Khalil Abdul Wahid, et al.
Jurnal Geosains dan Remote Sensing (2024)
Open 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
Spatial model of wildfire susceptibility using Machine Learning approaches on Rawa Aopa Watumohai National Park, Indonesia
Septianto Aldiansyah, Ilyas Madani
GeoScape (2024) Vol. 18, Iss. 1, pp. 1-20
Open Access | Times Cited: 1
Mapping urban flood susceptibility in Ouagadougou, Burkina Faso
Maïmouna Bologo Traoré, Tazen Fowé, Mathieu Ouédraogo, et al.
Environmental Earth Sciences (2024) Vol. 83, Iss. 19
Closed Access | Times Cited: 1
A Comparative Study on Various Water Index Methods Through Satellite Image Processing for Pre- and Post-flood Monitoring of 2021—A Case Study of Chengalpattu Taluk, India
Kalidhas Muthu, R. Sivakumar
Lecture notes in civil engineering (2024), pp. 79-92
Closed Access
Developing a machine learning-based flood risk prediction model for the Indus Basin in Pakistan
Mehran Khan, Afed Ullah Khan, Basir Ullah, et al.
Water Practice & Technology (2024) Vol. 19, Iss. 6, pp. 2213-2225
Open Access
Spatial and Temporal Variability Mapping of Future Flood Hazard Affected by Climate and Land-use Changes in Kendari City, Indonesia
Septianto Aldiansyah, Farida Wardani, Randi Adrian Saputra, et al.
Research Square (Research Square) (2024)
Open Access
Unveiling seasonal nitrate contamination dynamics in cropland sub-watersheds: A geo-morphological analysis of the bilate agricultural watershed
Bereket Geberselassie Assa, Anirudh Bhowmick, Bisrat Elias Cholo
Environmental Advances (2024) Vol. 17, pp. 100572-100572
Open Access
Modeling the Bioclimatic Range of Musa ingens (Giant Highland Banana) under Conditions of Climate Change Scenarios
Septianto Aldiansyah, Risna Risna
Environment and Natural Resources Journal (2024) Vol. 22, Iss. 5, pp. 1-14
Open Access
On the Application of Machine Learning into Flood Modeling: Data Consideration and Modeling Algorithm
Ali Pourzangbar, Peter Oberle, Andreas Kron, et al.
Springer water (2024), pp. 167-182
Closed Access
On the application of machine learning into flood modeling: data consideration and modeling algorithm
Ali Pourzangbar, Peter Oberle, Andreas Kron, et al.
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 1
Evaluation of Regional Spatial Development on Landslide and Flood Prone with Actual Site Conditions in Kendari City
Septianto Aldiansyah, Duwi Setiyo Wigati Ningsih, Randi Adrian Saputra
Jurnal Wilayah dan Lingkungan (2023) Vol. 11, Iss. 1, pp. 92-107
Open Access | Times Cited: 1
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