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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:

Combining autoregressive integrated moving average with Long Short-Term Memory neural network and optimisation algorithms for predicting ground water level
Zohreh Sheikh Khozani, Fatemeh Barzegari Banadkooki, Mohammad Ehteram, et al.
Journal of Cleaner Production (2022) Vol. 348, pp. 131224-131224
Closed Access | Times Cited: 86

Showing 1-25 of 86 citing articles:

Groundwater level forecasting with machine learning models: A review
Kenneth Beng Wee Boo, Ahmed El‐Shafie, Faridah Othman, et al.
Water Research (2024) Vol. 252, pp. 121249-121249
Closed Access | Times Cited: 24
Deep learning for Multi-horizon Water levelForecasting in KRS reservoir, India
Abhinav Dayal, Sridevi Bonthu, Vamsi Nagaraju T, et al.
Results in Engineering (2024) Vol. 21, pp. 101828-101828
Open Access | Times Cited: 14
Drought Prediction: A Comprehensive Review of Different Drought Prediction Models and Adopted Technologies
Neeta Nandgude, T. P. Singh, Sachin Nandgude, et al.
Sustainability (2023) Vol. 15, Iss. 15, pp. 11684-11684
Open Access | Times Cited: 26
A novel wind power prediction model improved with feature enhancement and autoregressive error compensation
Jianing Wang, Hongqiu Zhu, Fei Cheng, et al.
Journal of Cleaner Production (2023) Vol. 420, pp. 138386-138386
Closed Access | Times Cited: 25
Streamflow forecasting using a hybrid LSTM-PSO approach: the case of Seyhan Basin
Bülent Haznedar, Hüseyin Çağan Kılınç, Furkan Ozkan, et al.
Natural Hazards (2023) Vol. 117, Iss. 1, pp. 681-701
Closed Access | Times Cited: 23
Self-attention (SA) temporal convolutional network (SATCN)-long short-term memory neural network (SATCN-LSTM): an advanced python code for predicting groundwater level
Mohammad Ehteram, Elham Ghanbari-Adivi
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 40, pp. 92903-92921
Closed Access | Times Cited: 23
Forecasting China's hydropower generation using a novel seasonal optimized multivariate grey model
Youyang Ren, Lin Xia, Yuhong Wang
Technological Forecasting and Social Change (2023) Vol. 194, pp. 122677-122677
Closed Access | Times Cited: 22
Towards efficient irrigation management at field scale using new technologies: A systematic literature review
Afaf Bounajra, Kamal El Guemmat, Khalifa Mansouri, et al.
Agricultural Water Management (2024) Vol. 295, pp. 108758-108758
Open Access | Times Cited: 9
A Multi-Scenario Simulation and Dynamic Assessment of the Ecosystem Service Values in Key Ecological Functional Areas: A Case Study of the Sichuan Province, China
Wei Li, Xi Chen, Jianghua Zheng, et al.
Land (2024) Vol. 13, Iss. 4, pp. 468-468
Open Access | Times Cited: 9
A state-of-the-art review of long short-term memory models with applications in hydrology and water resources
Zhong-kai Feng, J. Zhang, Wen-jing Niu
Applied Soft Computing (2024), pp. 112352-112352
Closed Access | Times Cited: 8
Long-Short Term Memory Technique for Monthly Rainfall Prediction in Thale Sap Songkhla River Basin, Thailand
Nureehan Salaeh, Pakorn Ditthakit, Sirimon Pinthong, et al.
Symmetry (2022) Vol. 14, Iss. 8, pp. 1599-1599
Open Access | Times Cited: 27
A multi-source data-driven model of lake water level based on variational modal decomposition and external factors with optimized bi-directional long short-term memory neural network
Ruiqin Tan, Yuan Hu, Zhaocai Wang
Environmental Modelling & Software (2023) Vol. 167, pp. 105766-105766
Closed Access | Times Cited: 18
Research on a multiparameter water quality prediction method based on a hybrid model
Zhiqiang Zheng, Hao Ding, Zhi Weng, et al.
Ecological Informatics (2023) Vol. 76, pp. 102125-102125
Closed Access | Times Cited: 15
Prediction of groundwater level changes based on machine learning technique in highly groundwater irrigated alluvial aquifers of south-central Punjab, India
Sushindra Kumar Gupta, Sashikanta Sahoo, Bibhuti Bhusan Sahoo, et al.
Physics and Chemistry of the Earth Parts A/B/C (2024) Vol. 135, pp. 103603-103603
Closed Access | Times Cited: 6
Attention is all water need: Multistep time series irrigation water demand forecasting in irrigation disctrics
R. González Perea, Emilio Camacho Poyato, Juan Antonio Rodríguez Díaz
Computers and Electronics in Agriculture (2024) Vol. 218, pp. 108723-108723
Open Access | Times Cited: 5
An Efficient Water Quality Prediction and Assessment Method Based on the Improved Deep Belief Network—Long Short-Term Memory Model
Zhiyao Zhao, Bing Fan, Yuqin Zhou
Water (2024) Vol. 16, Iss. 10, pp. 1362-1362
Open Access | Times Cited: 5
Dynamic characteristics of the internal flow field of a rotary centrifugal air classifier and pressure prediction through attention mechanism-enhanced CNN-LSTM
Long Huang, Wenhao Li, Runyu Liu, et al.
Advanced Powder Technology (2024) Vol. 35, Iss. 8, pp. 104578-104578
Closed Access | Times Cited: 5
Analysis of the Style Characteristics of Regional Folk Songs and Music Classification Algorithms
Lin Liu, Hao Liang
Journal of Advanced Computational Intelligence and Intelligent Informatics (2025) Vol. 29, Iss. 1, pp. 33-40
Open Access
Simulation and prediction of hydraulic jump characteristics over expanding rough beds using FLOW-3D and soft computing techniques
Morteza Ziari, Hojat Karami, Ali Ostadi, et al.
Journal of Hydroinformatics (2025)
Open Access
Robust adaptive optimization for sustainable water demand prediction in water distribution systems
Ke Wang, Jiayang Meng, Zhangquan Wang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Evidential-bio-inspired algorithms for modeling groundwater total hardness: A pioneering implementation of evidential neural network for feature selection in water resources management
A. G. Usman, Abdulhayat M. Jibrin, Sagiru Mati, et al.
Environmental Chemistry and Ecotoxicology (2025)
Open Access
Enhancing seasonal streamflow prediction using multistage hybrid stochastic data-driven deep learning methodology with deep feature selection
Asif Iqbal, Tanveer Ahmed Siddiqi
Environmental and Ecological Statistics (2025)
Closed Access
Hilbert–Huang Time-Delay Compensation Control Strategy Based on Gauss-DeepAR for Ship Heave Motion Prediction
Qin Zhang, Dongmei He, Bangping Gu, et al.
China Ocean Engineering (2025)
Closed Access
Hybrid time series models with exogenous variable for improved yield forecasting of major Rabi crops in India
Pramit Pandit, Atish Sagar, Bikramjeet Ghose, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 12
Multi-step ahead groundwater level forecasting in Grand Est, France: Comparison between stacked machine learning model and radial basis function neural network
Fabio Di Nunno, Carlo Giudicianni, Enrico Creaco, et al.
Groundwater for Sustainable Development (2023) Vol. 23, pp. 101042-101042
Closed Access | Times Cited: 11
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