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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:

Accurate prediction of water quality in urban drainage network with integrated EMD-LSTM model
Yituo Zhang, Chaolin Li, Yiqi Jiang, et al.
Journal of Cleaner Production (2022) Vol. 354, pp. 131724-131724
Closed Access | Times Cited: 137

Showing 26-50 of 137 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: 20
A hybrid model combining mode decomposition and deep learning algorithms for detecting TP in urban sewer networks
Yituo Zhang, Chaolin Li, Yiqi Jiang, et al.
Applied Energy (2023) Vol. 333, pp. 120600-120600
Closed Access | Times Cited: 19
Stock market index prediction using transformer neural network models and frequency decomposition
Camilo Yañez, Werner Kristjanpoller, Marcel C. Minutolo
Neural Computing and Applications (2024) Vol. 36, Iss. 25, pp. 15777-15797
Closed Access | Times Cited: 7
Spatial weighting EMD-LSTM based approach for short-term PM2.5 prediction research
Qian Yu, Hongwu Yuan, Zhao-long Liu, et al.
Atmospheric Pollution Research (2024) Vol. 15, Iss. 10, pp. 102256-102256
Closed Access | Times Cited: 7
Water quality prediction using LSTM with combined normalizer for efficient water management
N. Mahesh, J. Jagan Babu, K. Nithya, et al.
Desalination and Water Treatment (2024) Vol. 317, pp. 100183-100183
Open Access | Times Cited: 6
A state-of-the-art review for the prediction of overflow in urban sewer systems
Shihui Ma, Tarek Zayed, Jiduo Xing, et al.
Journal of Cleaner Production (2023) Vol. 434, pp. 139923-139923
Closed Access | Times Cited: 15
Water quality assessment of deep learning-improved comprehensive pollution index: a case study of Dagu River, Jiaozhou Bay, China
Haitao Yang, Chao Jia, Fan Yang, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 25, pp. 66853-66866
Closed Access | Times Cited: 13
Spatiotemporal evolution of deformation and LSTM prediction model over the slope of the deep excavation section at the head of the South-North Water Transfer Middle Route Canal
Laizhong Ding, Chunyi Li, Zhen Lei, et al.
Heliyon (2024) Vol. 10, Iss. 4, pp. e26301-e26301
Open Access | Times Cited: 5
Enhancing water quality monitoring through the integration of deep learning neural networks and fuzzy method
Marzieh Mokarram, Hamid Reza Pourghasemi, Tam Minh Pham
Marine Pollution Bulletin (2024) Vol. 206, pp. 116698-116698
Closed Access | Times Cited: 5
Short-term air quality prediction based on EMD-transformer-BiLSTM
Jie Dong, Yaoli Zhang, Jiang Hu
Scientific Reports (2024) Vol. 14, Iss. 1
Closed Access | Times Cited: 5
Predicting water quality in municipal water management systems using a hybrid deep learning model
Wenxian Luo, Leijun Huang, Jiabin Shu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108420-108420
Closed Access | Times Cited: 4
A Water Quality Prediction Model Based on Modal Decomposition and Hybrid Deep Learning Models
Shuo Zhao, Ruru Liu, Yahui Liu, et al.
Water (2025) Vol. 17, Iss. 2, pp. 184-184
Open Access
Enhancing BOD5 Forecasting Accuracy with the ANN-Enhanced Runge Kutta Model
Rana Muhammad Adnan, Ahmed A. Ewees, Mo Wang, et al.
Journal of environmental chemical engineering (2025), pp. 115430-115430
Closed Access
The Role of Digitalization on Carbon Emissions: Spatial DDML Test and Neural Networks Prediction
Mao Wu, Fanrui Liu
Research Square (Research Square) (2025)
Open Access
Attention-based Deep learning Models for Predicting Anomalous Shock of Wastewater Treatment Plants
Yituo Zhang, Jihong Wang, Chaolin Li, et al.
Water Research (2025) Vol. 275, pp. 123192-123192
Closed Access
Spatio-temporal analysis and prediction for raw water quality of drinking water source by improved RNN algorithm
Dongsheng Wang, Congcong Zhang, Ao Li, et al.
Journal of Water Process Engineering (2025) Vol. 71, pp. 107164-107164
Closed Access
Load Forecasting Method of Power System Based on LSTM Artificial Neural Network
Zhiqi Chen, Junlin Li, Yingjie Li, et al.
Lecture notes in electrical engineering (2025), pp. 279-288
Closed Access
Failure prediction of overhead transmission lines incorporating time series prediction model for wind-ice loads
Xiangrui Meng, Li Tian, Juncai Liu, et al.
Reliability Engineering & System Safety (2025), pp. 110927-110927
Closed Access
Driving analysis and prediction of COD based on frequency division
Mei Li, Kexing Chen, Deke Wang, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Closed Access
Data-driven prediction of effluent quality in wastewater treatment processes: Model performance optimization and missing-data handling
Zhicheng Deng, Jinquan Wan, Gang Ye, et al.
Journal of Water Process Engineering (2025) Vol. 71, pp. 107352-107352
Closed Access
Flood resilience through hybrid deep learning: Advanced forecasting for Taipei's urban drainage system
Li‐Chiu Chang, Ming-Ting Yang, Fi‐John Chang
Journal of Environmental Management (2025) Vol. 379, pp. 124835-124835
Closed Access
Transforming Prediction into Decision: Leveraging Transformer-Long Short-Term Memory Networks and Automatic Control for Enhanced Water Treatment Efficiency and Sustainability
Cheng Qiu, Qingchuan Li, Jing Jiang, et al.
Sensors (2025) Vol. 25, Iss. 6, pp. 1652-1652
Open Access
A multi-component concentration spectral modeling method with parallel drift resistance based on disorderly difference
Qilong Wan, Hongqiu Zhu, Chunhua Yang, et al.
Talanta (2025) Vol. 292, pp. 127943-127943
Closed Access
Coupled hydrologic, hydraulic, and surface water quality models for pollution management in urban–rural areas
Matteo Masi, Daniele Masseroni, Fabio Castelli
Journal of Hydrology (2025), pp. 133172-133172
Open Access
A parameter adaptive EEFO VMD method to mitigate noise and trend interference of blast vibration signals
Zhenyang Xu, Zuofu Zhang, Fuqiang Ren, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

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