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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:

Is multi-hazard mapping effective in assessing natural hazards and integrated watershed management?
Hamid Reza Pourghasemi, Amiya Gayen, Mohsen Edalat, et al.
Geoscience Frontiers (2019) Vol. 11, Iss. 4, pp. 1203-1217
Open Access | Times Cited: 106

Showing 1-25 of 106 citing articles:

Landslide susceptibility mapping using machine learning algorithms and comparison of their performance at Abha Basin, Asir Region, Saudi Arabia
Ahmed M. Youssef, Hamid Reza Pourghasemi
Geoscience Frontiers (2020) Vol. 12, Iss. 2, pp. 639-655
Open Access | Times Cited: 336
COVID-19 and urban vulnerability in India
Swasti Vardhan Mishra, Amiya Gayen, Sk. Mafizul Haque
Habitat International (2020) Vol. 103, pp. 102230-102230
Open Access | Times Cited: 168
Threats of climate and land use change on future flood susceptibility
Paramita Roy, Subodh Chandra Pal, Rabin Chakrabortty, et al.
Journal of Cleaner Production (2020) Vol. 272, pp. 122757-122757
Closed Access | Times Cited: 160
Uncertainty pattern in landslide susceptibility prediction modelling: Effects of different landslide boundaries and spatial shape expressions
Faming Huang, Jun Yan, Xuanmei Fan, et al.
Geoscience Frontiers (2021) Vol. 13, Iss. 2, pp. 101317-101317
Open Access | Times Cited: 141
Evaluation of multi-hazard map produced using MaxEnt machine learning technique
Narges Javidan, Ataollah Kavian, Hamid Reza Pourghasemi, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 114
Multi-hazard susceptibility mapping based on Convolutional Neural Networks
Kashif Ullah, Yi Wang, Zhice Fang, et al.
Geoscience Frontiers (2022) Vol. 13, Iss. 5, pp. 101425-101425
Open Access | Times Cited: 91
Assessment of forest fire severity and land surface temperature using Google Earth Engine: a case study of Gujarat State, India
Keval H. Jodhani, H. V. Patel, Utsav Soni, et al.
Fire Ecology (2024) Vol. 20, Iss. 1
Open Access | Times Cited: 30
Spatial modeling, risk mapping, change detection, and outbreak trend analysis of coronavirus (COVID-19) in Iran (days between February 19 and June 14, 2020)
Hamid Reza Pourghasemi, Soheila Pouyan, Bahram Heidari, et al.
International Journal of Infectious Diseases (2020) Vol. 98, pp. 90-108
Open Access | Times Cited: 121
Soil Science Challenges in a New Era: A Transdisciplinary Overview of Relevant Topics
Jesús Rodrigo‐Comino, Manuel López‐Vicente, Vinod Kumar, et al.
Air Soil and Water Research (2020) Vol. 13
Open Access | Times Cited: 117
A machine learning framework for multi-hazards modeling and mapping in a mountainous area
Saleh Yousefi, Hamid Reza Pourghasemi, Sayed Naeim Emami, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 114
Application of learning vector quantization and different machine learning techniques to assessing forest fire influence factors and spatial modelling
Hamid Reza Pourghasemi, Amiya Gayen, Rosa Lasaponara, et al.
Environmental Research (2020) Vol. 184, pp. 109321-109321
Closed Access | Times Cited: 109
Multi-Hazard Exposure Mapping Using Machine Learning for the State of Salzburg, Austria
Thimmaiah Gudiyangada Nachappa, Omid Ghorbanzadeh, Khalil Gholamnia, et al.
Remote Sensing (2020) Vol. 12, Iss. 17, pp. 2757-2757
Open Access | Times Cited: 80
Location-allocation modeling for emergency evacuation planning with GIS and remote sensing: A case study of Northeast Bangladesh
Mahfuzur Rahman, Ningsheng Chen, Md Monirul Islam, et al.
Geoscience Frontiers (2020) Vol. 12, Iss. 3, pp. 101095-101095
Open Access | Times Cited: 76
Using machine learning algorithms to map the groundwater recharge potential zones
Hamid Reza Pourghasemi, Nitheshnirmal Sãdhasivam, Saleh Yousefi, et al.
Journal of Environmental Management (2020) Vol. 265, pp. 110525-110525
Closed Access | Times Cited: 75
Research on geological and surfacial processes and major disaster effects in the Yellow River Basin
Hengxing Lan, Jianbing Peng, Yanbo Zhu, et al.
Science China Earth Sciences (2021) Vol. 65, Iss. 2, pp. 234-256
Closed Access | Times Cited: 75
Landslide and Wildfire Susceptibility Assessment in Southeast Asia Using Ensemble Machine Learning Methods
Qian He, Ziyu Jiang, Ming Wang, et al.
Remote Sensing (2021) Vol. 13, Iss. 8, pp. 1572-1572
Open Access | Times Cited: 64
Forest fire susceptibility assessment using google earth engine in Gangwon-do, Republic of Korea
Yong Piao, Dong Kun Lee, Sang-Jin Park, et al.
Geomatics Natural Hazards and Risk (2022) Vol. 13, Iss. 1, pp. 432-450
Open Access | Times Cited: 49
Multi-risk assessment in a historical city
Chiara Arrighi, Marco Tanganelli, Maria Teresa Cristofaro, et al.
Natural Hazards (2022) Vol. 119, Iss. 2, pp. 1041-1072
Open Access | Times Cited: 44
Climate change, multi-hazards and society: An empirical study on the coastal community of Indian Sundarban
Manas Mondal, Anupam Biswas, Subrata Haldar, et al.
Natural Hazards Research (2022) Vol. 2, Iss. 2, pp. 84-96
Open Access | Times Cited: 43
Framework for rainfall-triggered landslide-prone critical infrastructure zonation
Kaushal Raj Gnyawali, Kshitij Dahal, Rocky Talchabhadel, et al.
The Science of The Total Environment (2023) Vol. 872, pp. 162242-162242
Open Access | Times Cited: 23
Forest Fire Prediction: A Spatial Machine Learning and Neural Network Approach
Sanjeev Sharma, Puskar Khanal
Fire (2024) Vol. 7, Iss. 6, pp. 205-205
Open Access | Times Cited: 9
A compact multi-hazard assessment model to identify urban areas prone to heat islands, floods and particulate matter
Daniel Jato‐Espino, Cristina Manchado, Alejandro Roldán-Valcarce
International Journal of Disaster Risk Reduction (2025), pp. 105277-105277
Closed Access | Times Cited: 1
The influence of DEM spatial resolution on landslide susceptibility mapping in the Baxie River basin, NW China
Zhuo Chen, Fei Ye, Wenxi Fu, et al.
Natural Hazards (2020) Vol. 101, Iss. 3, pp. 853-877
Closed Access | Times Cited: 68
An assessment of metaheuristic approaches for flood assessment
Hamid Reza Pourghasemi, Seyed Vahid Razavi-Termeh, Narges Kariminejad, et al.
Journal of Hydrology (2020) Vol. 582, pp. 124536-124536
Closed Access | Times Cited: 67
A comparison of machine learning models for the mapping of groundwater spring potential
A’kif Al-Fugara, Hamid Reza Pourghasemi, Abdel Rahman Al‐Shabeeb, et al.
Environmental Earth Sciences (2020) Vol. 79, Iss. 10
Open Access | Times Cited: 65
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