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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:

Land degradation risk mapping using topographic, human-induced, and geo-environmental variables and machine learning algorithms, for the Pole-Doab watershed, Iran
Ali Torabi Haghighi, Hamid Darabi, Zahra Karimidastenaei, et al.
Environmental Earth Sciences (2020) Vol. 80, Iss. 1
Open Access | Times Cited: 89

Showing 26-50 of 89 citing articles:

Predicting freshwater production in seawater greenhouses using hybrid artificial neural network models
Fatemeh Panahi, Ali Najah Ahmed, Vijay P. Singh, et al.
Journal of Cleaner Production (2021) Vol. 329, pp. 129721-129721
Open Access | Times Cited: 22
Thermophysical Properties of Bentonite–Sand/Fly Ash-Based Backfill Materials for Underground Power Cable
Pawan Kishor Sah, Shiv Shankar Kumar, S. Sreedeep
International Journal of Thermophysics (2023) Vol. 44, Iss. 4
Open Access | Times Cited: 8
Assessment of the Analytic and Hydrologic Methods in Separation of Watershed Response to Climate and Land Use Changes
Omidreza Mikaeili, Mojtaba Shourian
Water Resources Management (2022) Vol. 37, Iss. 6-7, pp. 2575-2591
Open Access | Times Cited: 13
Deterioration law of intermittent jointed sandstone mechanical properties under water–rock interaction
Guangbo Chen, Yuan Li, Tan Li, et al.
Acta Geophysica (2022) Vol. 70, Iss. 4, pp. 1923-1935
Closed Access | Times Cited: 12
Integrated approach to land degradation risk assessment in arid and semi-arid Ecosystems: Applying SVM and eDPSIR/ANP methods
Ehsan Moradi, Hassan Khosravi, Pouyan Dehghan Rahimabadi, et al.
Ecological Indicators (2024) Vol. 169, pp. 112947-112947
Open Access | Times Cited: 2
Geomechanical zonation using multivariate fractal modeling in Chadormalu iron mine, Central Iran
Mahdi Mahdizadeh, Peyman Afzal, Mosleh Eftekhari, et al.
Bulletin of Engineering Geology and the Environment (2022) Vol. 81, Iss. 1
Closed Access | Times Cited: 11
Machine-learning method applied to provide the best predictive model for rock mass deformability modulus (Em)
Enayatallah Emami Meybodi, Ali DastBaravarde, Syed Khaliq Hussain, et al.
Environmental Earth Sciences (2023) Vol. 82, Iss. 6
Closed Access | Times Cited: 6
Land degradation vulnerability mapping in a west coast river basin of India using analytical hierarchy process combined machine learning models
Bappa Das, Sujeet Desai, Amrita Daripa, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 35, pp. 83975-83990
Open Access | Times Cited: 6
Deployment of entropy information theory in the Indian Sundarban region using hydrogeochemical parameters and GIS for assessment of irrigation suitability
Sabir Hossain Molla, Rukhsana Rukhsana, Mohd Sayeed Ul Hasan
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 10
Closed Access | Times Cited: 6
A new conceptual framework for spatial predictive modelling of land degradation in a semiarid area
Azam Abolhasani, Gholamreza Zehtabian, Hassan Khosravi, et al.
Land Degradation and Development (2022) Vol. 33, Iss. 17, pp. 3358-3374
Closed Access | Times Cited: 10
Assessment of Annual Effective Dose and Excess Lifetime Cancer Risk in Grain Samples Collected from Kerbala Governorate, Iraq
Zahraa Saad Hamzah, Abdalsattar Kareem Hashim, Ali Abid Abojassim
Iranian Journal of Science and Technology Transactions A Science (2022) Vol. 46, Iss. 3, pp. 989-998
Closed Access | Times Cited: 9
Prediction and mapping of land degradation in the Batanghari watershed, Sumatra, Indonesia: utilizing multi-source geospatial data and machine learning modeling techniques
Fajar Yulianto, Puguh Dwi Raharjo, Irfan Budi Pramono, et al.
Modeling Earth Systems and Environment (2023) Vol. 9, Iss. 4, pp. 4383-4404
Closed Access | Times Cited: 4
Evaluating Urban Green and Gray Space Interaction: A Spatiotemporal Land-Use Monitoring and Land Degradation Susceptibility Modeling over Balurghat City, India
Nilanjan Bal, Ali Raza Moosvi, Sanjit Sarkar, et al.
The Professional Geographer (2024) Vol. 76, Iss. 2, pp. 147-169
Closed Access | Times Cited: 1
Geoelectric analysis for groundwater potential assessment and aquifer protection in a part of Shango, North-Central Nigeria
J. S. Ejepu, Muhali Olaide Jimoh, S. Abdullahi, et al.
Discover Water (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 1
Assessment of land degradation susceptibility within the Shaqlawa subregion of Northern Iraq-Kurdistan Region via synergistic application of remotely acquired datasets and advanced predictive models
Badeea Abdi, Kamal Kolo, Himan Shahabi
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 11
Closed Access | Times Cited: 1
Soil Loss Estimation for Conservation Planning in The Dolago Watershed Central Sulawesi, Indonesia
Naharuddin Naharuddin, Adam Malík, Ahyauddin Ahyauddin
Journal of Ecological Engineering (2021) Vol. 22, Iss. 7, pp. 242-251
Open Access | Times Cited: 11
Numerical study on tunnel damage subject to blast loads in jointed rock masses
Shujie Chen, Zhengguo Zhu
Environmental Earth Sciences (2022) Vol. 81, Iss. 24
Closed Access | Times Cited: 7
Soil contamination, pollution indices, and ecological risk in agricultural areas of important mining region of Türkiye
Kadriye Taşpınar, O. Ates, Gülser Yalçın, et al.
International Journal of Environmental & Analytical Chemistry (2023), pp. 1-10
Closed Access | Times Cited: 4
Exploring the accuracy of Random Forest and Multiple Regression models to predict rill detachment in soils under different plant species and soil treatments in deforested lands
Misagh Parhizkar, Manuel Esteban Lucas‐Borja, Demetrio Antonio Zema
Modeling Earth Systems and Environment (2023) Vol. 10, Iss. 2, pp. 2533-2546
Closed Access | Times Cited: 4
A hybrid statistical decision-making optimization approach for groundwater vulnerability considering uncertainty
Yalda Norouzi Gharakezloo, Mohammad Reza Nikoo, Ayoub Karimi-Jashni, et al.
Environmental Science and Pollution Research (2021) Vol. 29, Iss. 6, pp. 8597-8612
Closed Access | Times Cited: 10
A new synergetic model of neighbourhood component analysis and artificial intelligence method for blast-induced noise prediction
Yao Yevenyo Ziggah, Victor Amoako Temeng, Clement Kweku Arthur
Modeling Earth Systems and Environment (2023)
Closed Access | Times Cited: 3
Badland erosion susceptibility mapping using machine learning data mining techniques, Firozkuh watershed, Iran
Majid Mohammady
Natural Hazards (2023) Vol. 117, Iss. 1, pp. 703-721
Open Access | Times Cited: 3
Gully Erosion Susceptibility Assessment Using Different Machine Learning Algorithms: A Case Study of Shazand Watershed in Iran
Majid Mohammady, Aliakbar Davudirad
Environmental Modeling & Assessment (2023) Vol. 29, Iss. 2, pp. 249-261
Open Access | Times Cited: 3
Thermal conductivity and specific volume heat capacity of bentonite–fly ash-based fluidized thermal backfill
Pawan Kishor Sah, Shiv Shankar Kumar, S. Sreedeep
Journal of Thermal Analysis and Calorimetry (2023) Vol. 148, Iss. 21, pp. 11607-11617
Closed Access | Times Cited: 3
Hybridized intelligent multi-class classifiers for rockburst risk assessment in deep underground mines
Roohollah Shirani Faradonbeh, Will Vaisey, Mostafa Sharifzadeh, et al.
Neural Computing and Applications (2023) Vol. 36, Iss. 4, pp. 1681-1698
Closed Access | Times Cited: 3

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