Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

MACLA-LSTM: A Novel Approach for Forecasting Water Demand
Ke Wang, Zanting Ye, Zhangquan Wang, et al.
Sustainability (2023) Vol. 15, Iss. 4, pp. 3628-3628
Open Access | Times Cited: 13

Showing 13 citing articles:

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
A simple and high-accuracy method for minute-level water demand forecasting in district metering areas
Haidong Huang, Guangqi Que, Meiqiong Wu
Journal of Hydrology (2025) Vol. 652, pp. 132698-132698
Closed Access
A Hierarchical Hybrid Deep-Net Framework for Water Demand Forecasting Using OPHO Optimization and Deep Learning Techniques
Subha Jeyavelu, K. Aditya Mohan
Iranian Journal of Science and Technology Transactions of Civil Engineering (2025)
Closed Access
Forecasting regional water demand using multi-fidelity data and harris hawks optimization of generalized regression neural network models – A case study of Heilongjiang Province, China
Qiuxiang Jiang, Weipeng Guo, Zilong Wang, et al.
Journal of Hydrology (2024) Vol. 634, pp. 131084-131084
Closed Access | Times Cited: 3
Reliable multi-horizon water demand forecasting model: A temporal deep learning approach
Ke Wang, Xiang Xie, Banteng Liu, et al.
Sustainable Cities and Society (2024) Vol. 112, pp. 105595-105595
Closed Access | Times Cited: 2
Chinese Water Demand Forecast Based on iTransformer Model
Zhi-Wei Tian, Ru-Liang Qian
IEEE Access (2024) Vol. 12, pp. 115853-115867
Open Access | Times Cited: 2
Prediction of Total Phosphorus Based on Distance Correlation and Machine Learning Methods—a Case Study of Dongjiang River, China
Yongkai Huang, Yiling Chen
Water Air & Soil Pollution (2024) Vol. 235, Iss. 2
Closed Access | Times Cited: 1
Short-term water demand prediction based on decomposition technique optimization and a multihead attention mechanism
Haidong Huang, Meiqiong Wu
Journal of Hydroinformatics (2024) Vol. 26, Iss. 7, pp. 1589-1605
Open Access | Times Cited: 1
Short-Term Multi-Step Wind Direction Prediction Based on OVMD Quadratic Decomposition and LSTM
Banteng Liu, Yangqing Xie, Ke Wang, et al.
Sustainability (2023) Vol. 15, Iss. 15, pp. 11746-11746
Open Access | Times Cited: 4
Combining wavelet-enhanced feature selection and deep learning techniques for multi-step forecasting of urban water demand
Wenjin Hao, Andrea Cominola, Andrea Castelletti
Environmental Research Infrastructure and Sustainability (2024) Vol. 4, Iss. 3, pp. 035005-035005
Open Access
Battle of Water Demand Forecasting: An Optimized Deep Learning Model
Mohammadali Geranmehr, Alemtsehay G. Seyoum, Mostapha Kalami Heris
(2024) Vol. 33, pp. 56-56
Open Access
Short-Term Water Demand Forecasting from Univariate Time Series of Water Reservoir Stations
Georgios Myllis, Alkiviadis Tsimpiris, Vasiliki Vrana
Information (2024) Vol. 15, Iss. 10, pp. 605-605
Open Access
A Multi-Granularity Hybrid Prediction Method for Water Supply Based on Periodic Feature Extraction
Can Zhou, YUNJIN Xu, Tianhao Liu, et al.
(2023)
Closed Access
Page 1

Scroll to top