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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:

LSTM-CM: a hybrid approach for natural drought prediction based on deep learning and climate models
Tuong Quang Vo, Seon‐Ho Kim, Duc Hai Nguyen, et al.
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 6, pp. 2035-2051
Closed Access | Times Cited: 20

Showing 20 citing articles:

Analysis, characterization, prediction, and attribution of extreme atmospheric events with machine learning and deep learning techniques: a review
Sancho Salcedo‐Sanz, Jorge Pérez‐Aracil, Guido Ascenso, et al.
Theoretical and Applied Climatology (2023) Vol. 155, Iss. 1, pp. 1-44
Open Access | Times Cited: 25
Next-level vegetation health index forecasting: A ConvLSTM study using MODIS Time Series
Serkan Kartal, Muzaffer Can İban, Aliihsan Şekertekin
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 12, pp. 18932-18948
Open Access | Times Cited: 7
Investigation of a transformer-based hybrid artificial neural networks for climate data prediction and analysis
Shangke Liu, Ke Liu, Zheng Wang, et al.
Frontiers in Environmental Science (2025) Vol. 12
Open Access
Enhancing streamflow drought prediction: integrating wavelet decomposition with deep learning and quantile regression neural network models
Babak Mohammadi, Mohammed Abdallah, Rachid Oucheikh, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 2
Open Access
Artificial intelligence for modeling and understanding extreme weather and climate events
Gustau Camps‐Valls, Miguel‐Ángel Fernández‐Torres, Kai-Hendrik Cohrs, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
STAT-LSTM: A multivariate spatiotemporal feature aggregation model for SPEI-based drought prediction
Ying Chen, Huanping Wu, Nengfu Xie, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 3
Open Access
Machine learning models development for accurate multi-months ahead drought forecasting: Case study of the Great Lakes, North America
Mohammed Majeed Hameed, Siti Fatin Mohd Razali, Wan Hanna Melini Wan Mohtar, et al.
PLoS ONE (2023) Vol. 18, Iss. 10, pp. e0290891-e0290891
Open Access | Times Cited: 8
Actionable AI for Climate and Environment
Ziheng Sun
Springer eBooks (2023), pp. 327-354
Closed Access | Times Cited: 5
LSTM Model Integrated Remote Sensing Data for Drought Prediction: A Study on Climate Change Impacts on Water Availability in the Arid Region
Haitham Abdulmohsin Afan, Atheer Saleem Almawla, Basheer Al-Hadeethi, et al.
Water (2024) Vol. 16, Iss. 19, pp. 2799-2799
Open Access | Times Cited: 1
An integrated SWJ-LSTM-ETS modeling strategy for investigating upper morphology dynamics of a stochastic laboratory delta with environmental changes
Xiaolong Song, Haijue Xu, Yuchuan Bai
Geomorphology (2023) Vol. 445, pp. 108977-108977
Closed Access | Times Cited: 2
Water quality analysis based on LSTM and BP optimization with a transfer learning model
Qun Luo, Dingzhi Peng, Wenjian Shang, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 59, pp. 124341-124352
Closed Access | Times Cited: 2
Research on Optimal Selection of Runoff Prediction Models Based on Coupled Machine Learning Methods
Wei Xing, M.M. Chen, Yulin Zhou, et al.
Research Square (Research Square) (2024)
Open Access
The limitation of machine learning methods for water supply and demand forecasting: A case study for Greater Melbourne, Australia
Maryam Mohammadi, Shirley Gato-Trinidad, Kuok King Kuok
Water Science & Technology Water Supply (2024)
Open Access
Focal-TSMP: deep learning for vegetation health prediction and agricultural drought assessment from a regional climate simulation
Mohamad Hakam Shams Eddin, Jüergen Gall
Geoscientific model development (2024) Vol. 17, Iss. 7, pp. 2987-3023
Open Access
STAT-LSTM: A multivariate spatiotemporal feature aggregation model for SPEI-based drought prediction
Ying Chen, Huanping Wu, Nengfu Xie, et al.
Research Square (Research Square) (2024)
Open Access
Prediction and assessment of meteorological drought in southwest China using long short-term memory model
Xiehui Li, Hejia Jia, Lei Wang, et al.
Open Geosciences (2024) Vol. 16, Iss. 1
Open Access
Spatiotemporal Multivariate Weather Prediction Network Based on CNN-Transformer
Ruowu Wu, Yongsheng Liang, Lianlei Lin, et al.
Sensors (2024) Vol. 24, Iss. 23, pp. 7837-7837
Open Access
Advance drought prediction through rainfall forecasting with hybrid deep learning model
Brij B. Gupta, Akshat Gaurav, Razaz Waheeb Attar, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Research on optimal selection of runoff prediction models based on coupled machine learning methods
Wei Xing, Mengen Chen, Yulin Zhou, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Total suspended particulates prediction method for intensive waterfowl farming
Xuehua Zhao, Dengfeng Chen, Jiaqi Dong
(2023), pp. 551-555
Closed Access
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