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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:

Spatio-temporal modelling of asthma-prone areas using a machine learning optimized with metaheuristic algorithms
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Soo-Mi Choi
Geocarto International (2022) Vol. 37, Iss. 25, pp. 9917-9942
Closed Access | Times Cited: 13

Showing 13 citing articles:

Flash flood detection and susceptibility mapping in the Monsoon period by integration of optical and radar satellite imagery using an improvement of a sequential ensemble algorithm
Seyed Vahid Razavi-Termeh, Myoung-Bae Seo, Abolghasem Sadeghi‐Niaraki, et al.
Weather and Climate Extremes (2023) Vol. 41, pp. 100595-100595
Open Access | Times Cited: 28
Improving flood-prone areas mapping using geospatial artificial intelligence (GeoAI): A non-parametric algorithm enhanced by math-based metaheuristic algorithms
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Farman Ali, et al.
Journal of Environmental Management (2025) Vol. 375, pp. 124238-124238
Closed Access
A new approach based on biology-inspired metaheuristic algorithms in combination with random forest to enhance the flood susceptibility mapping
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Soo-Mi Choi
Journal of Environmental Management (2023) Vol. 345, pp. 118790-118790
Closed Access | Times Cited: 11
Dust detection and susceptibility mapping by aiding satellite imagery time series and integration of ensemble machine learning with evolutionary algorithms
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Rizwan Ali Naqvi, et al.
Environmental Pollution (2023) Vol. 335, pp. 122241-122241
Closed Access | Times Cited: 8
Assessment of noise pollution-prone areas using an explainable geospatial artificial intelligence approach
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Xiaobai Yao, et al.
Journal of Environmental Management (2024) Vol. 370, pp. 122361-122361
Closed Access | Times Cited: 2
Spatio-Temporal Modeling of COVID-19 Spread in Relation to Urban Land Uses: An Agent-Based Approach
Mohammad Tabasi, Ali Asghar Alesheikh, Mohsen Kalantari, et al.
Sustainability (2023) Vol. 15, Iss. 18, pp. 13827-13827
Open Access | Times Cited: 4
A GIS-based multi-objective evolutionary algorithm for landslide susceptibility mapping
Seyed Vahid Razavi-Termeh, Javad Hatamiafkoueieh, Abolghasem Sadeghi‐Niaraki, et al.
Stochastic Environmental Research and Risk Assessment (2023)
Open Access | Times Cited: 4
Spatio-Temporal Modeling of Asthma-Prone Areas: Exploring the Influence of Urban Climate Factors with Explainable Artificial Intelligence (XAI)
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Farman Ali, et al.
Sustainable Cities and Society (2024) Vol. 116, pp. 105889-105889
Closed Access | Times Cited: 1
Cutting-Edge strategies for absence data identification in natural hazards: Leveraging Voronoi-Entropy in flood susceptibility mapping with advanced AI techniques
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Farman Ali, et al.
Journal of Hydrology (2024), pp. 132337-132337
Closed Access | Times Cited: 1
Application of machine learning to predict hospital visits for respiratory diseases using meteorological and air pollution factors in Linyi, China
Jing Yang, Xin Xu, Xiaotian Ma, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 38, pp. 88431-88443
Open Access | Times Cited: 3
Spatial prediction of physical and chemical properties of soil using optical satellite imagery: a state-of-the-art hybridization of deep learning algorithm
Fatemeh Sadat Hosseini, Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, et al.
Frontiers in Environmental Science (2023) Vol. 11
Open Access | Times Cited: 2
Prediction Analysis of the Number of Patients with Respiratory Diseases based on SVR
Xiaotian Ma, Yinghua Li
International Journal of Biology and Life Sciences (2024) Vol. 5, Iss. 1, pp. 17-21
Open Access
Enhancing spatial prediction of groundwater-prone areas through optimization of a boosting algorithm with bio-inspired metaheuristic algorithms
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Sani I. Abba, et al.
Applied Water Science (2024) Vol. 14, Iss. 11
Open Access
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