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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:

Flash flood susceptibility assessment using the parameters of drainage basin morphometry in SE Bangladesh
Akhtar Alam, Bayes Ahmed, Peter Sammonds
Quaternary International (2020) Vol. 575-576, pp. 295-307
Open Access | Times Cited: 113

Showing 1-25 of 113 citing articles:

DEM resolution effects on machine learning performance for flood probability mapping
Mohammadtaghi Avand, Alban Kuriqi, Majid Khazaei, et al.
Journal of Hydro-environment Research (2021) Vol. 40, pp. 1-16
Open Access | Times Cited: 104
Morphometric analysis and prioritisation of watersheds for flood risk management in Wadi Easal Basin (WEB), Jordan, using geospatial technologies
Mutawakil Obeidat, Muheeb Awawdeh, Farah Al‐Hantouli
Journal of Flood Risk Management (2021) Vol. 14, Iss. 2
Open Access | Times Cited: 83
Investigation of the watershed hydro-morphologic characteristics through the morphometric analysis: A study on Rayeng basin in Darjeeling Himalaya
Sanjoy Saha, Jayanta Das, Tapash Mandal
Environmental Challenges (2022) Vol. 7, pp. 100463-100463
Open Access | Times Cited: 39
Comparison of different objective weighting methods in a multi‐criteria model for watershed prioritization for flood risk assessment using morphometric analysis
Erfan Mahmoodi, M. Azari, Mohamad Taghi Dastorani
Journal of Flood Risk Management (2023) Vol. 16, Iss. 2
Open Access | Times Cited: 28
Implication of novel hybrid machine learning model for flood subsidence susceptibility mapping: A representative case study in Saudi Arabia
Ahmed M. Al‐Areeq, Radhwan A. A. Saleh, Mustafa Ghaleb, et al.
Journal of Hydrology (2024) Vol. 630, pp. 130692-130692
Closed Access | Times Cited: 10
Evaluation and Projection of Temperatures Over Pakistan: Insights from the Downscaled NEX-GDDP-CMIP6 Models
Muhammad Aslam Baig, Peng Cui, Safi Ullah, et al.
Earth Systems and Environment (2025)
Closed Access | Times Cited: 1
Artificial neural networks for flood susceptibility analysis in Gangarampur sub-division of Dakshin Dinajpur, West Bengal, India
Ankeli Paul
Frontiers in Engineering and Built Environment (2025) Vol. 5, Iss. 1, pp. 1-21
Open Access | Times Cited: 1
Evaluation of CMIP5 models and projected changes in temperatures over South Asia under global warming of 1.5 oC, 2 oC, and 3 oC
Safi Ullah, Qinglong You, Yuqing Zhang, et al.
Atmospheric Research (2020) Vol. 246, pp. 105122-105122
Closed Access | Times Cited: 55
Flood susceptibility mapping using extremely randomized trees for Assam 2020 floods
Shruti Sachdeva, Bijendra Kumar
Ecological Informatics (2021) Vol. 67, pp. 101498-101498
Closed Access | Times Cited: 45
River Flood Susceptibility and Basin Maturity Analyzed Using a Coupled Approach of Geo-morphometric Parameters and SWAT Model
Shan‐e‐hyder Soomro, Caihong Hu, Muhammad Waseem Boota, et al.
Water Resources Management (2022) Vol. 36, Iss. 7, pp. 2131-2160
Closed Access | Times Cited: 32
Morphometric Parameters and Geospatial Analysis for Flash Flood Susceptibility Assessment: A Case Study of Jeddah City along the Red Sea Coast, Saudi Arabia
Bashar Bashir
Water (2023) Vol. 15, Iss. 5, pp. 870-870
Open Access | Times Cited: 20
Applying a 1D Convolutional Neural Network in Flood Susceptibility Assessments—The Case of the Island of Euboea, Greece
Paraskevas Tsangaratos, Ioanna Ilia, Aikaterini-Alexandra Chrysafi, et al.
Remote Sensing (2023) Vol. 15, Iss. 14, pp. 3471-3471
Open Access | Times Cited: 20
A statistical-based geospatial approach to prioritize the watersheds for soil erosion conservation in the Upper Awash Basin (Upstream Koka), Ethiopia
Pradeep Kamaraj, Immanuvel David Thangapandian, Shankar Karuppannan, et al.
Kuwait Journal of Science (2024) Vol. 51, Iss. 2, pp. 100198-100198
Open Access | Times Cited: 8
Morphometric analysis of Halda River basin, Bangladesh, using GIS and remote sensing techniques
Md. Sharafat Chowdhury
Heliyon (2024) Vol. 10, Iss. 7, pp. e29085-e29085
Open Access | Times Cited: 8
Multi-hazard could exacerbate in coastal Bangladesh in the context of climate change
Mahfuzur Rahman, Shufeng Tian, Md Sakib Hasan Tumon, et al.
Journal of Cleaner Production (2024) Vol. 457, pp. 142289-142289
Closed Access | Times Cited: 8
Spatial prediction of flood-prone areas using geographically weighted regression
Jia Min Lin, Lawal Billa
Environmental Advances (2021) Vol. 6, pp. 100118-100118
Open Access | Times Cited: 35
Climate change driven disaster risks in Bangladesh and its journey towards resilience
Peter Sammonds, Mohammad Shamsudduha, Bayes Ahmed
Journal of the British Academy (2021) Vol. 9s8, pp. 55-77
Open Access | Times Cited: 33
Flood susceptibility mapping in Brahmaputra floodplain of Bangladesh using deep boost, deep learning neural network, and artificial neural network
Naser Ahmed, Muhammad Al-Amin Hoque, Alireza Arabameri, et al.
Geocarto International (2021) Vol. 37, Iss. 25, pp. 8770-8791
Closed Access | Times Cited: 33
Assessing multi-climate-hazard threat in the coastal region of Bangladesh by combining influential environmental and anthropogenic factors
Sanzida Murshed, Amy L. Griffin, Md. Ashraful Islam, et al.
Progress in Disaster Science (2022) Vol. 16, pp. 100261-100261
Open Access | Times Cited: 24
Is there a consistency in basin morphometry and hydrodynamic modelling results in terms of the flood generation potential of basins? A case study from the Ulus River Basin (Türkiye)
Hasan Özdemir, Abdullah Akbaş
Journal of Hydrology (2023) Vol. 625, pp. 129926-129926
Closed Access | Times Cited: 14
Fusing morphometric characteristics with extreme precipitation indices for identifying the most vulnerable sub-basin at risk of flooding
Dharmaveer Singh, Kunal Karan, Sudhir Kumar Singh, et al.
Journal of Hydro-environment Research (2023) Vol. 50, pp. 44-56
Closed Access | Times Cited: 14
A novel voting ensemble model empowered by metaheuristic feature selection for accurate flash flood susceptibility mapping
Radhwan A. A. Saleh, Ahmed M. Al‐Areeq, Amran A. Al Aghbari, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 6
Hybrid deep learning models for multi-ahead river water level forecasting
Abul Kashem, Pobithra Das, Md. Mahmudul Hasan, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 4, pp. 3021-3037
Closed Access | Times Cited: 5
A new approach to flood susceptibility analysis of urbanised alluvial fans: the case of Bursa City (Türkiye)
Furkan Corapci, Hasan Özdemir
Natural Hazards (2024)
Open Access | Times Cited: 5
Flash flood risk modeling of swat river sub-watershed: a comparative analysis of morphometric ranking approach and El-Shamy approach
Muhammad Jamal Nasir, Javed Iqbal, Waqas Ahmad
Arabian Journal of Geosciences (2020) Vol. 13, Iss. 20
Closed Access | Times Cited: 36
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