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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:

Integrating flood hazard into site selection of detention basins using spatial multi-criteria decision-making
Ebrahim Ahmadisharaf, Massoud Tajrishy, Nasrin Alamdari
Journal of Environmental Planning and Management (2015) Vol. 59, Iss. 8, pp. 1397-1417
Closed Access | Times Cited: 68

Showing 1-25 of 68 citing articles:

An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines
Bahram Choubin, Ehsan Moradi, Mohammad Golshan, et al.
The Science of The Total Environment (2018) Vol. 651, pp. 2087-2096
Open Access | Times Cited: 647
Spatial prediction of flood-susceptible areas using frequency ratio and maximum entropy models
Safura Siahkamari, Ali Haghizadeh, Hossein Zeinivand, et al.
Geocarto International (2017) Vol. 33, Iss. 9, pp. 927-941
Closed Access | Times Cited: 173
Flash flood susceptibility modelling using functional tree and hybrid ensemble techniques
Alireza Arabameri, Sunil Saha, Wei Chen, et al.
Journal of Hydrology (2020) Vol. 587, pp. 125007-125007
Closed Access | Times Cited: 136
A critical review of the mechanisms, factors, and performance of pervious concrete to remove contaminants from stormwater runoff
Armin Azad, M. Neaz Sheikh, Faisal I. Hai
Water Research (2024) Vol. 251, pp. 121101-121101
Open Access | Times Cited: 17
Identification of Critical Flood Prone Areas in Data-Scarce and Ungauged Regions: A Comparison of Three Data Mining Models
Omid Rahmati, Hamid Reza Pourghasemi
Water Resources Management (2017) Vol. 31, Iss. 5, pp. 1473-1487
Closed Access | Times Cited: 155
Artificial Neural Networks for Flood Susceptibility Mapping in Data-Scarce Urban Areas
Fatemeh Falah, Omid Rahmati, Mohammad Rostami, et al.
Elsevier eBooks (2019), pp. 323-336
Closed Access | Times Cited: 141
Water Scarcity Management in Arid Regions Based on an Extended Multiple Criteria Technique
Nastaran Chitsaz, Ali Azarnivand
Water Resources Management (2016) Vol. 31, Iss. 1, pp. 233-250
Closed Access | Times Cited: 115
An Overview of Multi-Criteria Decision Analysis (MCDA) Application in Managing Water-Related Disaster Events: Analyzing 20 Years of Literature for Flood and Drought Events
Mohammad Fikry Abdullah, Sajid Siraj, Richard Hodgett
Water (2021) Vol. 13, Iss. 10, pp. 1358-1358
Open Access | Times Cited: 93
Incorporating multi-criteria decision-making and fuzzy-value functions for flood susceptibility assessment
Ali Azareh, Elham Rafiei Sardooi, Bahram Choubin, et al.
Geocarto International (2019) Vol. 36, Iss. 20, pp. 2345-2365
Closed Access | Times Cited: 83
Urban flood susceptibility zonation mapping using evidential belief function, frequency ratio and fuzzy gamma operator models in GIS: a case study of Greater Mumbai, Maharashtra, India
V. Ramesh, S. Iqbal
Geocarto International (2020) Vol. 37, Iss. 2, pp. 581-606
Closed Access | Times Cited: 75
Flood spatial prediction modeling using a hybrid of meta-optimization and support vector regression modeling
Mahdi Panahi, Esmaeel Dodangeh, Fatemeh Rezaie, et al.
CATENA (2021) Vol. 199, pp. 105114-105114
Closed Access | Times Cited: 71
Assessing the performance of gray and green strategies for sustainable urban drainage system development: A multi-criteria decision-making analysis
Wenyu Yang, Jin Zhang
Journal of Cleaner Production (2021) Vol. 293, pp. 126191-126191
Closed Access | Times Cited: 56
Evaluating the joint effects of climate and land use change on runoff and pollutant loading in a rapidly developing watershed
Nasrin Alamdari, Peter R. Claggett, David J. Sample, et al.
Journal of Cleaner Production (2021) Vol. 330, pp. 129953-129953
Open Access | Times Cited: 56
Comparison of statistical and MCDM approaches for flood susceptibility mapping in northern Iran
S. Mostafa Mousavi, Behzad Ataie‐Ashtiani, Seiyed Mossa Hosseini
Journal of Hydrology (2022) Vol. 612, pp. 128072-128072
Closed Access | Times Cited: 42
A novel approach for assessing flood risk with machine learning and multi-criteria decision-making methods
Sharareh Rashidi Shikhteymour, Moslem Borji, Mehdi Bagheri‐Gavkosh, et al.
Applied Geography (2023) Vol. 158, pp. 103035-103035
Closed Access | Times Cited: 27
Efficiency evaluation of low impact development practices on urban flood risk
Sara Ayoubi Ayoublu, Mehdi Vafakhah, Hamid Reza Pourghasemi
Journal of Environmental Management (2024) Vol. 356, pp. 120467-120467
Closed Access | Times Cited: 11
A fuzzy TOPSIS-based approach for prioritizing low-impact development methods in high-density residential areas
Milad Mehri, Sonia Sadeghi, Seied Mehdy Hashemy Shahdany
Water Science & Technology (2024) Vol. 89, Iss. 2, pp. 484-503
Open Access | Times Cited: 7
Assessing the Effects of Climate Change on Water Quantity and Quality in an Urban Watershed Using a Calibrated Stormwater Model
Nasrin Alamdari, David J. Sample, Peter D. Steinberg, et al.
Water (2017) Vol. 9, Iss. 7, pp. 464-464
Open Access | Times Cited: 81
Risk analysis of urban stormwater infrastructure systems using fuzzy spatial multi-criteria decision making
Reyhaneh Shariat, Abbas Roozbahani, Ali Ebrahimian
The Science of The Total Environment (2018) Vol. 647, pp. 1468-1477
Closed Access | Times Cited: 77
Flood Risk Assessment of Global Watersheds Based on Multiple Machine Learning Models
Xiangnan Li, Denghua Yan, Kun Wang, et al.
Water (2019) Vol. 11, Iss. 8, pp. 1654-1654
Open Access | Times Cited: 69
A hybridized model based on neural network and swarm intelligence-grey wolf algorithm for spatial prediction of urban flood-inundation
Hamid Darabi, Ali Torabi Haghighi, Omid Rahmati, et al.
Journal of Hydrology (2021) Vol. 603, pp. 126854-126854
Open Access | Times Cited: 52
Development of a novel hybrid multi-boosting neural network model for spatial prediction of urban flood
Hamid Darabi, Omid Rahmati, Seyed Amir Naghibi, et al.
Geocarto International (2021) Vol. 37, Iss. 19, pp. 5716-5741
Open Access | Times Cited: 45
Framework for mapping large-scale nature-based solutions for drought mitigation: Regional application in Flanders
Estifanos Addisu Yimer, Lien De Trift, Stefaan Dondeyne, et al.
Water Research (2024) Vol. 261, pp. 122003-122003
Open Access | Times Cited: 5
Spatial probabilistic multi-criteria decision making for assessment of flood management alternatives
Ebrahim Ahmadisharaf, Alfred Kalyanapu, ‪Eun‐Sung Chung
Journal of Hydrology (2015) Vol. 533, pp. 365-378
Closed Access | Times Cited: 60
A Decision Framework for Electric Vehicle Charging Station Site Selection for Residential Communities under an Intuitionistic Fuzzy Environment: A Case of Beijing
Yunna Wu, Chao Xie, Chuanbo Xu, et al.
Energies (2017) Vol. 10, Iss. 9, pp. 1270-1270
Open Access | Times Cited: 58
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