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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: 139

Showing 51-75 of 139 citing articles:

EMD-EmLSTM: A QoS Analysis and Prediction Method for Industrial Internet of Things
Anying Chai, Mingshi Li, Haibo Yang, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 20, pp. 32730-32744
Closed Access | Times Cited: 4
A Logging Data Based Method for Evaluating the Fracability of a Gas Storage in Eastern China
Famu Huang, Lei Huang, Ziheng Zhu, et al.
Sustainability (2024) Vol. 16, Iss. 8, pp. 3165-3165
Open Access | Times Cited: 4
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
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
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
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
Optimized modal decomposition techniques for robust leakage detection in noisy environments: A comparative study
Jialin Cui, Xianqiang Qu, Chunwang Lv, et al.
Measurement (2025), pp. 117390-117390
Closed Access
Application of an improved LSTM model based on FECA and CEEMDAN VMD decomposition in water quality prediction
Jie Long, Chong Lu, Yiming Lei, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A long-term water quality prediction model for marine ranch based on time-graph convolutional neural network
Dashe Li, Weijie Zhao, Jingzhe Hu, et al.
Ecological Indicators (2023) Vol. 154, pp. 110782-110782
Open Access | Times Cited: 10
Deep-Learning-Based Water Quality Monitoring and Early Warning Methods: A Case Study of Ammonia Nitrogen Prediction in Rivers
Xianhe Wang, Mu Qiao, Ying Li, et al.
Electronics (2023) Vol. 12, Iss. 22, pp. 4645-4645
Open Access | Times Cited: 10
Water quality multivariate forecasting using deep learning in a West Australian estuary
Amina Saeed, Areej Alsini, Dawood Amin
Environmental Modelling & Software (2023) Vol. 171, pp. 105884-105884
Closed Access | Times Cited: 10
A combined optimization prediction model for earth-rock dam seepage pressure using multi-machine learning fusion with decomposition data-driven
Bo Liu, Weijun Cen, Changhai Zheng, et al.
Expert Systems with Applications (2023) Vol. 242, pp. 122798-122798
Closed Access | Times Cited: 9
A new multi-objective ensemble wind speed forecasting system: Mixed-frequency interval-valued modeling paradigm
Wendong Yang, Xinyi Zang, C.L. Wu, et al.
Energy (2024) Vol. 304, pp. 131963-131963
Closed Access | Times Cited: 3
Effluent quality prediction of the sewage treatment based on a hybrid neural network model: Comparison and application
Zeyu Wang, Hongliang Dai, Beiyue Chen, et al.
Journal of Environmental Management (2023) Vol. 351, pp. 119900-119900
Closed Access | Times Cited: 8
Quantifying uncertainty of marine water quality forecasts for environmental management using a dynamic multi-factor analysis and multi-resolution ensemble approach
Rui Yang, Hui Liu, Yanfei Li
Chemosphere (2023) Vol. 331, pp. 138831-138831
Closed Access | Times Cited: 7
Evaluation of surface water quality in Heilongjiang Province, China: Based on different quantities of water quality indicators
Wei Qi, Wei Qi, Siying Li, et al.
Ecological Indicators (2023) Vol. 154, pp. 110472-110472
Open Access | Times Cited: 7
LSTM combined with BIM technology in the management of small and medium-sized span highway concrete beam bridges
Cheng Shen, Baolong Jiang, Ling Yue
Results in Engineering (2023) Vol. 20, pp. 101539-101539
Open Access | Times Cited: 7
Fault Diagnosis Method of Weak Vibration Signal Based on Improved VMD and MCKD
Zeyang Ke, Hanzhong Liu, Jianquan Shi, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 2, pp. 025113-025113
Closed Access | Times Cited: 7
Investigation on spatter characteristics of liquid phase and life span of submerged lance in the top-blown smelting process using hydraulic modelling
Kai Yang, Bo Yu, Wuliang Yin, et al.
Advanced Powder Technology (2024) Vol. 35, Iss. 6, pp. 104492-104492
Closed Access | Times Cited: 2
A New Data-Driven Model to Predict Monthly Runoff at Watershed Scale: Insights from Deep Learning Method Applied in Data-Driven Model
Shunqing Jia, Xihua Wang, Y. Jun Xu, et al.
Water Resources Management (2024)
Closed Access | Times Cited: 2
Enhanced Prediction of Dissolved Oxygen Concentration using a Hybrid Deep Learning Approach with Sinusoidal Geometric Mode Decomposition
Wenhao Li, Zhongtian Dong, Tao Chen, et al.
Water Air & Soil Pollution (2024) Vol. 235, Iss. 7
Closed Access | Times Cited: 2
Real-time water quality prediction of wastewater treatment plants using advanced deep learning networks
Wafaa Mohamed Shaban, Dongxi Xie, Khalid Elbaz, et al.
Journal of Water Process Engineering (2024) Vol. 65, pp. 105775-105775
Closed Access | Times Cited: 2
Integrated ensemble learning approach for multi-depth water quality estimation in reservoir environments
Mohammad Sadegh Zare, Mohammad Reza Nikoo, Ghazi Al-Rawas, et al.
Journal of Water Process Engineering (2024) Vol. 66, pp. 105840-105840
Closed Access | Times Cited: 2
Predictive modeling of BOD throughout wastewater treatment: a generalizable machine learning approach for improved effluent quality
Offir Inbar, Moni Shahar, Dror Avisar
Environmental Science Water Research & Technology (2024) Vol. 10, Iss. 10, pp. 2577-2588
Closed Access | Times Cited: 2

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