
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:
Time series trend analysis and forecasting of climate variability using deep learning in Thailand
Muhammad Waqas, Usa Wannasingha Humphries, Phyo Thandar Hlaing
Results in Engineering (2024), pp. 102997-102997
Open Access | Times Cited: 10
Muhammad Waqas, Usa Wannasingha Humphries, Phyo Thandar Hlaing
Results in Engineering (2024), pp. 102997-102997
Open Access | Times Cited: 10
Showing 10 citing articles:
Advances in the study of natural disasters induced by the "23.7" extreme rainfall event in North China
Chenchen Xie, Chong Xu, Yuandong Huang, et al.
Natural Hazards Research (2025)
Open Access | Times Cited: 4
Chenchen Xie, Chong Xu, Yuandong Huang, et al.
Natural Hazards Research (2025)
Open Access | Times Cited: 4
Forecasting Trend Changes of Cement Demand in the United States: An Exploratory Study
Ardavan Yazdanbakhsh
Results in Engineering (2025), pp. 103859-103859
Open Access
Ardavan Yazdanbakhsh
Results in Engineering (2025), pp. 103859-103859
Open Access
Developing a Semi-Automated Technique of Surface Water Quality Analysis Using GEE And Machine Learning: A Case Study for Sundarbans
Sheikh Fahim Faysal Sowrav, Sujit Kumar Debsarma, Mohan Kumar Das, et al.
Heliyon (2025) Vol. 11, Iss. 3, pp. e42404-e42404
Open Access
Sheikh Fahim Faysal Sowrav, Sujit Kumar Debsarma, Mohan Kumar Das, et al.
Heliyon (2025) Vol. 11, Iss. 3, pp. e42404-e42404
Open Access
Quality Index-Driven Radar Mosaicking and Machine Learning for Enhanced Rainfall Estimation in the Chao Phraya River Basin and Its Tributaries in Thailand
Nattapon Mahavik, Fatah Masthawee, Sarawut Arthayakun
Remote Sensing in Earth Systems Sciences (2025)
Closed Access
Nattapon Mahavik, Fatah Masthawee, Sarawut Arthayakun
Remote Sensing in Earth Systems Sciences (2025)
Closed Access
Assessment of Three Satellite Precipitation Products for Hydrological Studies in a Data-Scarce Context: Ouarzazate Basin, Southern Morocco
Khalid En-nagre, Mourad Aqnouy, Abdelmounim Bouadila, et al.
Natural Hazards Research (2025)
Open Access
Khalid En-nagre, Mourad Aqnouy, Abdelmounim Bouadila, et al.
Natural Hazards Research (2025)
Open Access
Quantification and Prediction of the Impact of ENSO on Rainfed Rice Yields in Thailand
Usa Humphries Wannasingha, Muhammad Waqas, Shakeel Ahmad, et al.
Environmental Challenges (2025), pp. 101123-101123
Open Access
Usa Humphries Wannasingha, Muhammad Waqas, Shakeel Ahmad, et al.
Environmental Challenges (2025), pp. 101123-101123
Open Access
Evaluating rainfall forecasting capability of multi-source weather (MSWX) product over rainfall regimes of Ethiopia
Endeg Aniley, Addis Zemen, Melkamu Belay, et al.
Geocarto International (2025) Vol. 40, Iss. 1
Open Access
Endeg Aniley, Addis Zemen, Melkamu Belay, et al.
Geocarto International (2025) Vol. 40, Iss. 1
Open Access
Impact of Climate Change on River Flow, Using a Hybrid Model of LARS_WG and LSTM: A Case Study in the Kashkan Basin
Fatemeh Avazpour, Mohammad Hadian, Ali Talebi, et al.
Results in Engineering (2025), pp. 104956-104956
Open Access
Fatemeh Avazpour, Mohammad Hadian, Ali Talebi, et al.
Results in Engineering (2025), pp. 104956-104956
Open Access
Artificial Intelligence and Numerical Weather Prediction Models: A Technical Survey
Muhammad Waqas, Usa Wannasingha Humphries, Bunthid Chueasa, et al.
Natural Hazards Research (2024)
Open Access | Times Cited: 3
Muhammad Waqas, Usa Wannasingha Humphries, Bunthid Chueasa, et al.
Natural Hazards Research (2024)
Open Access | Times Cited: 3
Risk of groundwater depletion in Jaipur district, India: a prediction of groundwater for 2028 using artificial neural network
M. K. Mondal
Rendiconti lincei. Scienze fisiche e naturali (2024)
Closed Access | Times Cited: 1
M. K. Mondal
Rendiconti lincei. Scienze fisiche e naturali (2024)
Closed Access | Times Cited: 1