
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:
Proposing an ensemble machine learning based drought vulnerability index using M5P, dagging, random sub-space and rotation forest models
Sunil Saha, Barnali Kundu, Gopal Chandra Paul, et al.
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 7, pp. 2513-2540
Open Access | Times Cited: 18
Sunil Saha, Barnali Kundu, Gopal Chandra Paul, et al.
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 7, pp. 2513-2540
Open Access | Times Cited: 18
Showing 18 citing articles:
Machine learning driven forecasts of agricultural water quality from rainfall ionic characteristics in Central Europe
Safwan Mohammed, Sana Arshad, Bashar Bashir, et al.
Agricultural Water Management (2024) Vol. 293, pp. 108690-108690
Open Access | Times Cited: 13
Safwan Mohammed, Sana Arshad, Bashar Bashir, et al.
Agricultural Water Management (2024) Vol. 293, pp. 108690-108690
Open Access | Times Cited: 13
Unveiling global flood hotspots: Optimized machine learning techniques for enhanced flood susceptibility modeling
Mahdi Panahi, Khabat Khosravi, Fatemeh Rezaie, et al.
Journal of Hydrology Regional Studies (2025) Vol. 58, pp. 102285-102285
Closed Access | Times Cited: 1
Mahdi Panahi, Khabat Khosravi, Fatemeh Rezaie, et al.
Journal of Hydrology Regional Studies (2025) Vol. 58, pp. 102285-102285
Closed Access | Times Cited: 1
Assessing landscape ecological vulnerability to riverbank erosion in the Middle Brahmaputra floodplains of Assam, India using machine learning algorithms
Nirsobha Bhuyan, Haroon Sajjad, Tamal Kanti Saha, et al.
CATENA (2023) Vol. 234, pp. 107581-107581
Open Access | Times Cited: 17
Nirsobha Bhuyan, Haroon Sajjad, Tamal Kanti Saha, et al.
CATENA (2023) Vol. 234, pp. 107581-107581
Open Access | Times Cited: 17
Predicting long term regional drought pattern in Northeast India using advanced statistical technique and wavelet-machine learning approach
Shahfahad, Swapan Talukdar, Bonosri Ghose, et al.
Modeling Earth Systems and Environment (2023) Vol. 10, Iss. 1, pp. 1005-1026
Closed Access | Times Cited: 16
Shahfahad, Swapan Talukdar, Bonosri Ghose, et al.
Modeling Earth Systems and Environment (2023) Vol. 10, Iss. 1, pp. 1005-1026
Closed Access | Times Cited: 16
Integrating Support Vector Machines with Different Ensemble Learners for Improving Streamflow Simulation in an Ungauged Watershed
Yahi Takai Eddine, Nadir Marouf, Sehtal Sabah, et al.
Water Resources Management (2023) Vol. 38, Iss. 2, pp. 553-567
Closed Access | Times Cited: 12
Yahi Takai Eddine, Nadir Marouf, Sehtal Sabah, et al.
Water Resources Management (2023) Vol. 38, Iss. 2, pp. 553-567
Closed Access | Times Cited: 12
From indices to impacts using environmental and socio-economic clustering in Kenya
Rhoda A. Odongo, Hans de Moel, Marthe Wens, et al.
Journal of Hydrology Regional Studies (2025) Vol. 58, pp. 102269-102269
Closed Access
Rhoda A. Odongo, Hans de Moel, Marthe Wens, et al.
Journal of Hydrology Regional Studies (2025) Vol. 58, pp. 102269-102269
Closed Access
Sensitivity of transpiration to influencing factors at varying drought levels in Schima superba
Xiaowei Zhao, Liwei Zhu
Frontiers in Forests and Global Change (2025) Vol. 8
Open Access
Xiaowei Zhao, Liwei Zhu
Frontiers in Forests and Global Change (2025) Vol. 8
Open Access
Deep learning models for drought susceptibility mapping in Southeast Queensland, Australia
Fatemeh Rezaie, Mahdi Panahi, Changhyun Jun, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Closed Access
Fatemeh Rezaie, Mahdi Panahi, Changhyun Jun, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Closed Access
A novel machine learning models for meteorological drought forecasting in the semi-arid climate region
Chaitanya Baliram Pande, Dinesh Kumar Vishwakarma, Aman Srivastava, et al.
Applied Water Science (2025) Vol. 15, Iss. 6
Open Access
Chaitanya Baliram Pande, Dinesh Kumar Vishwakarma, Aman Srivastava, et al.
Applied Water Science (2025) Vol. 15, Iss. 6
Open Access
Prediction of carbon dioxide emissions from Atlantic Canadian potato fields using advanced hybridized machine learning algorithms – Nexus of field data and modelling
Muhammad Hassan, Khabat Khosravi, Aitazaz A. Farooque, et al.
Smart Agricultural Technology (2024) Vol. 9, pp. 100559-100559
Open Access | Times Cited: 2
Muhammad Hassan, Khabat Khosravi, Aitazaz A. Farooque, et al.
Smart Agricultural Technology (2024) Vol. 9, pp. 100559-100559
Open Access | Times Cited: 2
Integration of SPEI and machine learning for assessing the characteristics of drought in the middle ganga plain, an agro-climatic region of India
Barnali Kundu, Narendra Kumar Rana, Sonali Kundu, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 54, pp. 63098-63119
Closed Access | Times Cited: 2
Barnali Kundu, Narendra Kumar Rana, Sonali Kundu, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 54, pp. 63098-63119
Closed Access | Times Cited: 2
Drought vulnerability of central Sahel agrosystems: a modelling-approach based on magnitudes of changes and machine learning techniques
Ismaguil Hanadé Houmma, Loubna El Mansouri, Sébastien Gadal, et al.
International Journal of Remote Sensing (2023) Vol. 44, Iss. 14, pp. 4262-4300
Closed Access | Times Cited: 5
Ismaguil Hanadé Houmma, Loubna El Mansouri, Sébastien Gadal, et al.
International Journal of Remote Sensing (2023) Vol. 44, Iss. 14, pp. 4262-4300
Closed Access | Times Cited: 5
Transforming educational approaches by integrating ethnic music and ecosystems through RNN-based extraction
Fan Hui
Soft Computing (2023) Vol. 27, Iss. 24, pp. 19143-19158
Closed Access | Times Cited: 4
Fan Hui
Soft Computing (2023) Vol. 27, Iss. 24, pp. 19143-19158
Closed Access | Times Cited: 4
Developing a disaster risk index for coastal communities in southwest Bangladesh: Shifting from data-driven models to holistic approaches
Anjum Tasnuva, Quazi Hamidul Bari, Abu Reza Md. Towfiqul Islam, et al.
Ecological Indicators (2024) Vol. 166, pp. 112381-112381
Open Access | Times Cited: 1
Anjum Tasnuva, Quazi Hamidul Bari, Abu Reza Md. Towfiqul Islam, et al.
Ecological Indicators (2024) Vol. 166, pp. 112381-112381
Open Access | Times Cited: 1
Development of a Two‐Layer Meta‐Classifier–Based Drought Stress Detection System for Wheat Crop Sustainability
Ankita Gupta, Lakhwinder Kaur, Gurmeet Kaur
(2024), pp. 1-40
Closed Access
Ankita Gupta, Lakhwinder Kaur, Gurmeet Kaur
(2024), pp. 1-40
Closed Access
Short-Term Drought Forecast across Two Different Climates Using Machine Learning Models
Reza Piraei, Majid Niazkar, Fabiola Gangi, et al.
Hydrology (2024) Vol. 11, Iss. 10, pp. 163-163
Open Access
Reza Piraei, Majid Niazkar, Fabiola Gangi, et al.
Hydrology (2024) Vol. 11, Iss. 10, pp. 163-163
Open Access
Data analytics for drought vulnerability under climate change scenarios
Tajwar Sultana, Sahana Hegde, Taufique Warsi, et al.
Elsevier eBooks (2024), pp. 137-156
Closed Access
Tajwar Sultana, Sahana Hegde, Taufique Warsi, et al.
Elsevier eBooks (2024), pp. 137-156
Closed Access
A neural networks-based evaluation of ecological effectiveness and economic worth in forests
Liulu Zhan, Yang JianZhou, Yi‐Sheng Liu
Soft Computing (2023) Vol. 27, Iss. 24, pp. 19339-19358
Closed Access
Liulu Zhan, Yang JianZhou, Yi‐Sheng Liu
Soft Computing (2023) Vol. 27, Iss. 24, pp. 19339-19358
Closed Access