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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:

A deep learning convolutional neural network algorithm for detecting saline flow sources and mapping the environmental impacts of the Urmia Lake drought in Iran
Bakhtiar Feizizadeh, Mohammad Kazemi Garajeh, Tobia Lakes, et al.
CATENA (2021) Vol. 207, pp. 105585-105585
Closed Access | Times Cited: 65

Showing 1-25 of 65 citing articles:

Machine learning data-driven approaches for land use/cover mapping and trend analysis using Google Earth Engine
Bakhtiar Feizizadeh, Davoud Omarzadeh, Mohammad Kazemi Garajeh, et al.
Journal of Environmental Planning and Management (2021) Vol. 66, Iss. 3, pp. 665-697
Closed Access | Times Cited: 127
Landslide detection using deep learning and object-based image analysis
Omid Ghorbanzadeh, Hejar Shahabi, Alessandro Crivellari, et al.
Landslides (2022) Vol. 19, Iss. 4, pp. 929-939
Open Access | Times Cited: 120
Geomorphometry and terrain analysis: data, methods, platforms and applications
Liyang Xiong, Sijin Li, Guoan Tang, et al.
Earth-Science Reviews (2022) Vol. 233, pp. 104191-104191
Open Access | Times Cited: 94
Scenario-based analysis of the impacts of lake drying on food production in the Lake Urmia Basin of Northern Iran
Bakhtiar Feizizadeh, Tobia Lakes, Davoud Omarzadeh, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 44
Health effects of shrinking hyper-saline lakes: spatiotemporal modeling of the Lake Urmia drought on the local population, case study of the Shabestar County
Bakhtiar Feizizadeh, Tobia Lakes, Davoud Omarzadeh, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 22
Artificial Intelligence in Environmental Monitoring: Advancements, Challenges, and Future Directions
David B. Olawade, Ojima Z. Wada, Abimbola O. Ige, et al.
Hygiene and Environmental Health Advances (2024), pp. 100114-100114
Open Access | Times Cited: 11
Analysis of spatiotemporal variations of drought and soil salinity via integrated multiscale and remote sensing-based techniques (Case study: Urmia Lake basin)
Roghayeh Ghasempour, Mohammad Taghi Aalami, Seyed Mahdi Saghebian, et al.
Ecological Informatics (2024) Vol. 81, pp. 102560-102560
Open Access | Times Cited: 7
Inversion of coastal cultivated soil salt content based on multi-source spectra and environmental variables
Pingping Jia, Wei He, Yi Hu, et al.
Soil and Tillage Research (2024) Vol. 241, pp. 106124-106124
Closed Access | Times Cited: 7
Integration of Sentinel-1 and Sentinel-2 Data for Ground Truth Sample Migration for Multi-Temporal Land Cover Mapping
Meysam Moharrami, Sara Attarchi, Richard Gloaguen, et al.
Remote Sensing (2024) Vol. 16, Iss. 9, pp. 1566-1566
Open Access | Times Cited: 7
QADI as a New Method and Alternative to Kappa for Accuracy Assessment of Remote Sensing-Based Image Classification
Bakhtiar Feizizadeh, Sadrolah Darabi, Thomas Blaschke, et al.
Sensors (2022) Vol. 22, Iss. 12, pp. 4506-4506
Open Access | Times Cited: 30
Using machine learning architecture to optimize and model the treatment process for saline water level analysis
Sarvesh P. S. Rajput, Julian Webber, Ali Bostani, et al.
Journal of Water Reuse and Desalination (2022)
Open Access | Times Cited: 27
Contribution and behavioral assessment of physical and anthropogenic factors for soil erosion using integrated deep learning and game theory
Ishita Afreen Ahmed, Swapan Talukdar, Abu Reza Md. Towfiqul Islam, et al.
Journal of Cleaner Production (2023) Vol. 416, pp. 137689-137689
Closed Access | Times Cited: 16
A comprehensive investigation of the causes of drying and increasing saline dust in the Urmia Lake, northwest Iran, via ground and satellite observations, synoptic analysis and machine learning models
Nasim Hossein Hamzeh‎, Karim A. Shukurov, Kaveh Mohammadpour, et al.
Ecological Informatics (2023) Vol. 78, pp. 102355-102355
Closed Access | Times Cited: 16
A Comprehensive Assessment of Climate Change and Anthropogenic Effects on Surface Water Resources in the Lake Urmia Basin, Iran
Mohammad Kazemi Garajeh, Rojin Akbari, Sepide Aghaei Chaleshtori, et al.
Remote Sensing (2024) Vol. 16, Iss. 11, pp. 1960-1960
Open Access | Times Cited: 6
Construction Engineering Defect Detection and Diagnosis Technology Based on Deep Learning
Xue Li, Lijuan Wang
Sustainable civil infrastructures (2025), pp. 185-195
Closed Access
Assessing the Effects of Climate Change and Anthropogenic Contributions in Parishan Wetland, Iran
Mohammad Kazemi Garajeh, Khalil Valizadeh Kamran, Bakhtiar Feizizadeh, et al.
Land (2025) Vol. 14, Iss. 2, pp. 313-313
Open Access
An integrated hybrid deep learning data driven approaches for spatiotemporal mapping of land susceptibility to salt/dust emissions
Bakhtiar Feizizadeh, Peyman Yariyan, Murat Yakar, et al.
Advances in Space Research (2025)
Closed Access
Unveiling soil salinity patterns in soda saline-alkali regions using Sentinel-2 and SDGSAT-1 thermal infrared data
Zeyu Gao, Xiaojie Li, Lijun Zuo, et al.
Remote Sensing of Environment (2025) Vol. 322, pp. 114708-114708
Open Access
A comparative approach of support vector machine kernel functions for GIS-based landslide susceptibility mapping
Khalil Valizadeh Kamran, Bakhtiar Feizizadeh, Behnam Khorrami, et al.
Applied Geomatics (2021) Vol. 13, Iss. 4, pp. 837-851
Closed Access | Times Cited: 33
Assessment of environmental geological disaster susceptibility under a multimodel comparison to aid in the sustainable development of the regional economy
Cui Wang, Xuedong Wang, Heyong Zhang, et al.
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 3, pp. 6573-6591
Closed Access | Times Cited: 26
Prediction of DEDI index for meteorological drought with the VMD-CBiLSTM hybrid model
Su Tao, Dan Liu, Xingyuan Cui, et al.
Journal of Hydrology (2024) Vol. 641, pp. 131805-131805
Closed Access | Times Cited: 4
A novel artificial intelligent model for predicting water treatment efficiency of various biochar systems based on artificial neural network and queuing search algorithm
Xiaolei Zheng, Hoang Nguyen
Chemosphere (2021) Vol. 287, pp. 132251-132251
Closed Access | Times Cited: 31
Assessing the effects of irrigated agricultural expansions on Lake Urmia using multi-decadal Landsat imagery and a sample migration technique within Google Earth Engine
Amin Naboureh, Ainong Li, Hamid Ebrahimy, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 105, pp. 102607-102607
Open Access | Times Cited: 28
A Comparison between Sentinel-2 and Landsat 8 OLI Satellite Images for Soil Salinity Distribution Mapping Using a Deep Learning Convolutional Neural Network
Mohammad Kazemi Garajeh, Thomas Blaschke, Vahid Hossein Haghi, et al.
Canadian Journal of Remote Sensing (2022) Vol. 48, Iss. 3, pp. 452-468
Closed Access | Times Cited: 19
Land cover dataset of the China Central-Asia West-Asia Economic Corridor from 1993 to 2018
Amin Naboureh, Ainong Li, Jinhu Bian, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 10
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