Open Access Helper

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:

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

Showing 4 citing articles:

Advanced Forecasting of Drought Zones in Canada Using Deep Learning and CMIP6 Projections
Keyvan Soltani, Afshin Amiri, Isa Ebtehaj, et al.
Climate (2024) Vol. 12, Iss. 8, pp. 119-119
Open Access | Times Cited: 2
Fusion Technology-Based CNN-LSTM-ASAN for RUL Estimation of Lithium-Ion Batteries
Yanming Li, Xiaojuan Qin, Furong Ma, et al.
Sustainability (2024) Vol. 16, Iss. 21, pp. 9223-9223
Open Access | Times Cited: 2
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
Advanced data augmentation techniques coupled with enhanced particle swarm optimization for predicting total phosphorus concentrations in limited transmission spectra samples: A case study on the Yangtze River
Guohao Zhang, Cailing Wang, Hongwei Wang, et al.
Journal of Water Process Engineering (2024) Vol. 68, pp. 106547-106547
Closed Access
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