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:
Ensemble Empirical Mode Decomposition and a Long Short-Term Memory Neural Network for Surface Water Quality Prediction of the Xiaofu River, China
Lan Luo, Yanjun Zhang, Wenxun Dong, et al.
Water (2023) Vol. 15, Iss. 8, pp. 1625-1625
Open Access | Times Cited: 7
Lan Luo, Yanjun Zhang, Wenxun Dong, et al.
Water (2023) Vol. 15, Iss. 8, pp. 1625-1625
Open Access | Times Cited: 7
Showing 7 citing articles:
A novel multivariate time series prediction of crucial water quality parameters with Long Short-Term Memory (LSTM) networks
Zhenyu Gao, Jinyue Chen, Guoqiang Wang, et al.
Journal of Contaminant Hydrology (2023) Vol. 259, pp. 104262-104262
Closed Access | Times Cited: 18
Zhenyu Gao, Jinyue Chen, Guoqiang Wang, et al.
Journal of Contaminant Hydrology (2023) Vol. 259, pp. 104262-104262
Closed Access | Times Cited: 18
Combining POA-VMD for multi-machine learning methods to predict ammonia nitrogen in the largest freshwater lake in China (Poyang Lake)
Chengming Luo, Xihua Wang, Y. Jun Xu, et al.
Journal of Water Process Engineering (2025) Vol. 72, pp. 107511-107511
Closed Access
Chengming Luo, Xihua Wang, Y. Jun Xu, et al.
Journal of Water Process Engineering (2025) Vol. 72, pp. 107511-107511
Closed Access
A novel RF-CEEMD-LSTM model for predicting water pollution
Jinlou Ruan, Yang Cui, Yuchen Song, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 6
Jinlou Ruan, Yang Cui, Yuchen Song, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 6
Improved Deep Learning Predictions for Chlorophyll Fluorescence Based on Decomposition Algorithms: The Importance of Data Preprocessing
Lan Wang, Mingjiang Xie, Min Pan, et al.
Water (2023) Vol. 15, Iss. 23, pp. 4104-4104
Open Access | Times Cited: 3
Lan Wang, Mingjiang Xie, Min Pan, et al.
Water (2023) Vol. 15, Iss. 23, pp. 4104-4104
Open Access | Times Cited: 3
Salinity prediction in Qiantang Estuary based on Improved LSTM model
Rong Zheng, Zhilin Sun, Jiange Jiao, et al.
Research Square (Research Square) (2024)
Open Access
Rong Zheng, Zhilin Sun, Jiange Jiao, et al.
Research Square (Research Square) (2024)
Open Access
Salinity Prediction Based on Improved LSTM Model in the Qiantang Estuary, China
Rong Zheng, Zhilin Sun, Jiange Jiao, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 8, pp. 1339-1339
Open Access
Rong Zheng, Zhilin Sun, Jiange Jiao, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 8, pp. 1339-1339
Open Access
A Study on A Hybrid Water Quality Prediction Model Using Sequence to Sequence Learning Based LSTM And Machine Learning
Sukmin Yoon, Jaeho Shin, No‐Suk Park, et al.
Desalination and Water Treatment (2024) Vol. 320, pp. 100895-100895
Open Access
Sukmin Yoon, Jaeho Shin, No‐Suk Park, et al.
Desalination and Water Treatment (2024) Vol. 320, pp. 100895-100895
Open Access
