Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Assessment and prediction of index based agricultural drought vulnerability using machine learning algorithms
Abdulla – Al Kafy, Arpita Bakshi, Milan Saha, et al.
The Science of The Total Environment (2023) Vol. 867, pp. 161394-161394
Closed Access | Times Cited: 68

Showing 1-25 of 68 citing articles:

Revolutionizing the circular economy through new technologies: A new era of sustainable progress
Eduardo Sánchez‐García, Javier Martínez‐Falcó, Bartolomé Marco‐Lajara, et al.
Environmental Technology & Innovation (2023) Vol. 33, pp. 103509-103509
Open Access | Times Cited: 74
Monitoring and predicting the influences of land use/land cover change on cropland characteristics and drought severity using remote sensing techniques
Taiwo Emmanuel Balogun, Abdulla – Al Kafy, Ajeyomi Adedoyin Samuel, et al.
Environmental and Sustainability Indicators (2023) Vol. 18, pp. 100248-100248
Open Access | Times Cited: 58
Quantifying climate variability and regional anthropogenic influence on vegetation dynamics in northwest India
Abhishek Banerjee, Shichang Kang, Michael E. Meadows, et al.
Environmental Research (2023) Vol. 234, pp. 116541-116541
Closed Access | Times Cited: 42
A systematic review of trustworthy artificial intelligence applications in natural disasters
A. S. Albahri, Yahya Layth Khaleel, Mustafa Abdulfattah Habeeb, et al.
Computers & Electrical Engineering (2024) Vol. 118, pp. 109409-109409
Open Access | Times Cited: 33
Identification of influential weather parameters and seasonal drought prediction in Bangladesh using machine learning algorithm
Md. Abdullah Al Mamun, Mou Rani Sarker, Md. Abdur Rouf Sarkar, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 16
Application of machine learning and emerging remote sensing techniques in hydrology: A state-of-the-art review and current research trends
Asish Saha, Subodh Chandra Pal
Journal of Hydrology (2024) Vol. 632, pp. 130907-130907
Closed Access | Times Cited: 13
Artificial intelligence for climate prediction of extremes: State of the art, challenges, and future perspectives
Stefano Materia, Lluís Palma García, Chiem van Straaten, et al.
Wiley Interdisciplinary Reviews Climate Change (2024)
Open Access | Times Cited: 13
Modeling land use/land cover changes using quad hybrid machine learning model in Bangweulu wetland and surrounding areas, Zambia
Misheck Lesa Chundu, Kawawa Banda, Chisanga Lyoba, et al.
Environmental Challenges (2024) Vol. 14, pp. 100866-100866
Open Access | Times Cited: 10
Advancements in drought using remote sensing: assessing progress, overcoming challenges, and exploring future opportunities
Vijendra Kumar, Kul Vaibhav Sharma, Quoc Bao Pham, et al.
Theoretical and Applied Climatology (2024) Vol. 155, Iss. 6, pp. 4251-4288
Closed Access | Times Cited: 10
State-level multidimensional agricultural drought susceptibility and risk assessment for agriculturally prominent areas
S M Samiul Islam, Serhan Yeşilköy, Özlem Baydaroğlu, et al.
International Journal of River Basin Management (2024), pp. 1-18
Open Access | Times Cited: 9
Drought susceptibility mapping in Iraq using GRACE/GRACE-FO, GLDAS, and machine learning algorithms
Alaa M. Al-Abadi, Ayat Ali Hassan, Noor Mohammed Almoosawi, et al.
Physics and Chemistry of the Earth Parts A/B/C (2024) Vol. 134, pp. 103583-103583
Closed Access | Times Cited: 8
Harnessing urban analytics and machine learning for sustainable urban development: A multidimensional framework for modeling environmental impacts of urbanization in Saudi Arabia
Abdulaziz I. Almulhim, Abdulla – Al Kafy, Md Nahid Ferdous, et al.
Journal of Environmental Management (2024) Vol. 357, pp. 120705-120705
Closed Access | Times Cited: 8
Combing transfer learning with the OPtical TRApezoid Model (OPTRAM) to diagnosis small-scale field soil moisture from hyperspectral data
Ruiqi Du, Youzhen Xiang, Fucang Zhang, et al.
Agricultural Water Management (2024) Vol. 298, pp. 108856-108856
Open Access | Times Cited: 7
Geo-ecological, shoreline dynamic, and flooding impacts of Cyclonic Storm Mocha: A geospatial analysis
Manoranjan Mishra, Rajkumar Guria, Suman Paul, et al.
The Science of The Total Environment (2024) Vol. 917, pp. 170230-170230
Closed Access | Times Cited: 6
Agricultural drought response to meteorological drought over different agro-climatic zones of the Ganga River basin
Anjali C.V., Akshay Pachore, Renji Remesan
Journal of Water and Climate Change (2024) Vol. 15, Iss. 3, pp. 998-1017
Open Access | Times Cited: 6
Integration of remote sensing and machine learning algorithm for agricultural drought early warning over Genale Dawa river basin, Ethiopia
Mikhael G. Alemu, Fasikaw A. Zimale
Environmental Monitoring and Assessment (2025) Vol. 197, Iss. 3
Closed Access
Flood resilience through hybrid deep learning: Advanced forecasting for Taipei's urban drainage system
Li‐Chiu Chang, Ming-Ting Yang, Fi‐John Chang
Journal of Environmental Management (2025) Vol. 379, pp. 124835-124835
Closed Access
Predicting agricultural drought using meteorological and ENSO parameters in different regions of Iran based on the LSTM model
Yusef Kheyruri, Ahmad Sharafati, Aminreza Neshat
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 9, pp. 3599-3613
Closed Access | Times Cited: 13
The COP27 screened through the lens of global water security
Marília Carvalho de Melo, Luís Filipe Sanches Fernandes, Teresa Cristina Tarlé Pissarra, et al.
The Science of The Total Environment (2023) Vol. 873, pp. 162303-162303
Closed Access | Times Cited: 12
A CMIP6 Multi-Model Analysis of the Impact of Climate Change on Severe Meteorological Droughts through Multiple Drought Indices—Case Study of Iran’s Metropolises
Rasoul Afsari, Mohammad Nazari‐Sharabian, ‌Ali Hosseini, et al.
Water (2024) Vol. 16, Iss. 5, pp. 711-711
Open Access | Times Cited: 4
Advanced groundwater level forecasting with hybrid deep learning model: Tackling water challenges in Taiwan’s largest alluvial fan
Yu-Wen Chang, Wei Sun, Pu-Yun Kow, et al.
Journal of Hydrology (2025), pp. 132887-132887
Closed Access
Iran’s multivariate drought frequency analysis based on novel heterogeneous and homogeneous archimedean copula structures
Reza Alizadeh-Sh, Hamid R. Safavi, Mohammad Reza Nikoo
Theoretical and Applied Climatology (2025) Vol. 156, Iss. 3
Closed Access
Forecasting drought using machine learning: a systematic literature review
Ricardo S. Oyarzabal, Leonardo Bacelar Lima Santos, Christopher Cunningham, et al.
Natural Hazards (2025)
Closed Access
Remote Sensing Monitoring of Drought in Southwest China Using Random Forest and eXtreme Gradient Boosting Methods
Xiehui Li, Hejia Jia, Lei Wang
Remote Sensing (2023) Vol. 15, Iss. 19, pp. 4840-4840
Open Access | Times Cited: 11
Global vegetation, moisture, thermal and climate interactions intensify compound extreme events
Oluwafemi E. Adeyeri, Wen Zhou, Christopher E. Ndehedehe, et al.
The Science of The Total Environment (2023) Vol. 912, pp. 169261-169261
Open Access | Times Cited: 11
Page 1 - Next Page

Scroll to top