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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 26-50 of 86 citing articles:

Towards Groundwater-Level Prediction Using Prophet Forecasting Method by Exploiting a High-Resolution Hydrogeological Monitoring System
Davide Fronzi, Gagan Narang, Alessandro Galdelli, et al.
Water (2023) Vol. 16, Iss. 1, pp. 152-152
Open Access | Times Cited: 10
Forecasting Water Demand With the Long Short-Term Memory Deep Learning Mode
Junhua Xu
International Journal of Information Technologies and Systems Approach (2024) Vol. 17, Iss. 1, pp. 1-18
Open Access | Times Cited: 3
Autoregressive Integrated Moving Average Model for Time Series Analysis
Dinesh Kumar Yadav, K Soumya, Laxmi Goswami
(2024), pp. 1-6
Closed Access | Times Cited: 3
Pressure prediction for air cyclone centrifugal classifier based on CNN-LSTM enhanced by attention mechanism
Wenhao Li, Xinhao Li, Jiale Yuan, et al.
Process Safety and Environmental Protection (2024) Vol. 205, pp. 775-791
Closed Access | Times Cited: 3
A technical perspective on integrating artificial intelligence to solid-state welding
S. Yaknesh, Rajamurugu Natarajan, K.B. Prakash, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 132, Iss. 9-10, pp. 4223-4248
Open Access | Times Cited: 3
Precision in Insurance Forecasting: Enhancing Potential with Ensemble and Combination Models based on the Adaptive Neuro-Fuzzy Inference System in the Egyptian Insurance Industry
Ahmed A. Khalil, Zaiming Liu, Ahmed Ali
Applied Artificial Intelligence (2024) Vol. 38, Iss. 1
Open Access | Times Cited: 3
New memory-based hybrid model for middle-term water demand forecasting in irrigated areas
R. González Perea, Ileana Fernández García, Emilio Camacho Poyato, et al.
Agricultural Water Management (2023) Vol. 284, pp. 108367-108367
Open Access | Times Cited: 9
B-AMA: A Python-coded protocol to enhance the application of data-driven models in hydrology
Alessandro Amaranto, Maurizio Mazzoleni
Environmental Modelling & Software (2022) Vol. 160, pp. 105609-105609
Open Access | Times Cited: 14
An Enhanced Multioperator Runge–Kutta Algorithm for Optimizing Complex Water Engineering Problems
Iman Ahmadianfar, Bijay Halder, Salim Heddam, et al.
Sustainability (2023) Vol. 15, Iss. 3, pp. 1825-1825
Open Access | Times Cited: 8
Predicting daily solar radiation using a novel hybrid long short-term memory network across four climate regions of China
Liwen Xing, Ningbo Cui, Li Guo, et al.
Computers and Electronics in Agriculture (2023) Vol. 212, pp. 108139-108139
Open Access | Times Cited: 8
Exploring the feasibility of Support Vector Machine for short-term hydrological forecasting in South Tyrol: challenges and prospects
Daniele Dalla Torre, Andrea Lombardi, Andrea Menapace, et al.
Deleted Journal (2024) Vol. 6, Iss. 4
Open Access | Times Cited: 2
A groundwater level spatiotemporal prediction model based on graph convolutional networks with a long short-term memory
Lifang Wang, Zhengwen Jiang, Lei Song, et al.
Journal of Hydroinformatics (2024) Vol. 26, Iss. 11, pp. 2962-2979
Closed Access | Times Cited: 2
Detection Sensitivity of a Modified EWMA Control Chart with a Time Series Model with Fractionality and Integration
Piyatida Phanthuna, Yupaporn Areepong
Emerging Science Journal (2022) Vol. 6, Iss. 5, pp. 1134-1152
Open Access | Times Cited: 13
Application of inclusive multiple model for the prediction of saffron water footprint
Zahra Gerkani Nezhad Moshizi, Ommolbanin Bazrafshan, Hadi Ramezani Etedali, et al.
Agricultural Water Management (2023) Vol. 277, pp. 108125-108125
Open Access | Times Cited: 7
A compound accumulation grey model and its prediction of new energy generation in BRICS countries
Jianlong Guo, Xi Li, Yali Mu, et al.
Energy Strategy Reviews (2023) Vol. 50, pp. 101221-101221
Open Access | Times Cited: 7
A new strategy for groundwater level prediction using a hybrid deep learning model under Ecological Water Replenishment
Zihao Jia, Qin Zhang, Bowen Shi, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 16, pp. 23951-23967
Closed Access | Times Cited: 2
Integrated adversarial long short-term memory deep networks for reheater tube temperature forecasting of ultra-supercritical turbo-generators
Linfei Yin, Xiaoying Wei
Applied Soft Computing (2023) Vol. 142, pp. 110347-110347
Closed Access | Times Cited: 6
Harnessing Big Data: Strategic Insights for IT Management
Asfar H Siddiqui, Vara Swetha, Harish Chowdhary, et al.
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 7
Open Access | Times Cited: 1
Study on the measurement and prediction of the ecological structure for water efficiency in China: from the perspective of “production-living-ecological” function
Yan Tang, Yunpei Cheng, Shan Gao, et al.
Environment Development and Sustainability (2024)
Closed Access | Times Cited: 1
PMformer: A Novel Informer-based Model for Accurate Long-Term Time Series Prediction
Yuewei Xue, Shaopeng Guan, Wanhai Jia
Information Sciences (2024), pp. 121586-121586
Closed Access | Times Cited: 1
Long-Term AI Prediction of Ammonium Levels in River Lee in London Using Transformer and Ensemble Models
Ali J. Ali, Ashraf Ahmed
Cleaner Water (2024), pp. 100051-100051
Open Access | Times Cited: 1
Application of machine learning and deep learning for predicting groundwater levels in the West Coast Aquifer System, South Africa
Ndubuisi Igwebuike, Moyinoluwa Ajayi, Chukwuma Okolie, et al.
Earth Science Informatics (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 1
A Developed Multiple Linear Regression (MLR) Model for Monthly Groundwater Level Prediction
Mohammad Ehteram, Fatemeh Barzegari Banadkooki
Water (2023) Vol. 15, Iss. 22, pp. 3940-3940
Open Access | Times Cited: 4
Urban Water Supply Forecasting Based on CNN-LSTM-AM Spatiotemporal Deep Learning Model
Yaxin Zhao, Yuebing Xu, Jiadong Ye, et al.
IEEE Access (2023) Vol. 11, pp. 144204-144212
Open Access | Times Cited: 4
Forecasting hospital outpatient volume using an optimized medical two-stage hybrid grey model
Youyang Ren, Yuhong Wang, Lin Xia, et al.
Grey Systems Theory and Application (2024) Vol. 14, Iss. 4, pp. 671-707
Closed Access | Times Cited: 1

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