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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:

Study on turbidity prediction method of reservoirs based on long short term memory neural network
Chenyu Song, Haiping Zhang
Ecological Modelling (2020) Vol. 432, pp. 109210-109210
Closed Access | Times Cited: 22

Showing 22 citing articles:

Applications of deep learning in water quality management: A state-of-the-art review
Kok Poh Wai, Min Yan Chia, Chai Hoon Koo, et al.
Journal of Hydrology (2022) Vol. 613, pp. 128332-128332
Closed Access | Times Cited: 67
Deep learning for Multi-horizon Water levelForecasting in KRS reservoir, India
Abhinav Dayal, Sridevi Bonthu, Vamsi Nagaraju T, et al.
Results in Engineering (2024) Vol. 21, pp. 101828-101828
Open Access | Times Cited: 14
Turbidity prediction of lake-type raw water using random forest model based on meteorological data: A case study of Tai lake, China
Yiping Zhang, Xinyu Yao, Qiang Wu, et al.
Journal of Environmental Management (2021) Vol. 290, pp. 112657-112657
Closed Access | Times Cited: 45
Prediction of water turbidity in a marine environment using machine learning: A case study of Hong Kong
Lalit Kumar, Mohammad Saud Afzal, Ashad Ahmad
Regional Studies in Marine Science (2022) Vol. 52, pp. 102260-102260
Closed Access | Times Cited: 23
Comparison of machine learning algorithms to predict dissolved oxygen in an urban stream
Madeleine M. Bolick, Christopher J. Post, Mohannad-Zeyad Naser, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 32, pp. 78075-78096
Closed Access | Times Cited: 13
Monitoring the vertical distribution of HABs using hyperspectral imagery and deep learning models
Seok Min Hong, Sang‐Soo Baek, Daeun Yun, et al.
The Science of The Total Environment (2021) Vol. 794, pp. 148592-148592
Closed Access | Times Cited: 32
Modeling and optimization of coagulant dosage in water treatment plants using hybridized random forest model with genetic algorithm optimization
Mohammed Achite, Saeed Samadianfard, Nehal Elshaboury, et al.
Environment Development and Sustainability (2022) Vol. 25, Iss. 10, pp. 11189-11207
Closed Access | Times Cited: 21
Evaluation of Optimization Algorithms for Measurement of Suspended Solids
Daniela López-Betancur, Efrén González, Carlos Guerrero-Méndez, et al.
Water (2024) Vol. 16, Iss. 13, pp. 1761-1761
Open Access | Times Cited: 3
Leveraging explainable machine learning for enhanced management of lake water quality
Sajad Soleymani Hasani, Mauricio E. Arias, Hung Quang Nguyen, et al.
Journal of Environmental Management (2024) Vol. 370, pp. 122890-122890
Closed Access | Times Cited: 3
Successful prediction for coagulant dosage and effluent turbidity of a coagulation process in a drinking water treatment plant based on the Elman neural network and random forest models
Dongsheng Wang, Le Chen, Taiyang Li, et al.
Environmental Science Water Research & Technology (2023) Vol. 9, Iss. 9, pp. 2263-2274
Closed Access | Times Cited: 8
Water, Soil and Air Pollutants’ Interaction on Mangrove Ecosystem and Corresponding Artificial Intelligence Techniques Used in Decision Support Systems - A Review
Wen Yee Wong, Ayman Al-Ani, Khairunnisa Hasikin‬, et al.
IEEE Access (2021) Vol. 9, pp. 105532-105563
Open Access | Times Cited: 20
Impact of Input Filtering and Architecture Selection Strategies on GRU Runoff Forecasting: A Case Study in the Wei River Basin, Shaanxi, China
Qianyang Wang, Yuan Liu, Qimeng Yue, et al.
Water (2020) Vol. 12, Iss. 12, pp. 3532-3532
Open Access | Times Cited: 17
A hybrid PCA-SEM-ANN model for the prediction of water use efficiency
Na Lu, Jun Niu, Shaozhong Kang, et al.
Ecological Modelling (2021) Vol. 460, pp. 109754-109754
Closed Access | Times Cited: 10
Application of a Hybrid Model Based on ICEEMDAN, Bayesian Hyperparameter Optimization GRU and the ARIMA in Nonferrous Metal Price Prediction
Yu-ting Huang, Yulong Bai, Lin Ding, et al.
Cybernetics & Systems (2022) Vol. 54, Iss. 1, pp. 27-59
Closed Access | Times Cited: 7
Estimating effluent turbidity in the drinking water flocculation process with an improved random forest model
Dongsheng Wang, Xiao Chang, Kaiwei Ma, et al.
Water Science & Technology Water Supply (2021) Vol. 22, Iss. 1, pp. 1107-1119
Closed Access | Times Cited: 9
Dynamic Resource Prediction in Cloud Computing for Complex System Simulatiuon: A Probabilistic Approach Using Stacking Ensemble Learning
Shuai Wang, Yiping Yao, Yuhao Xiao, et al.
(2020), pp. 198-201
Closed Access | Times Cited: 8
Harmful algal blooms (HAB) open issues: A review of ecological data challenges, factor analysis and prediction approaches using data-driven method
Nur Aqilah Paskhal Rostam, Nurul Hashimah Ahamed Hassain Malim, Nur Afzalina Azmee, et al.
Computing and artificial intelligence. (2023) Vol. 1, Iss. 1, pp. 100-100
Closed Access | Times Cited: 2
The application of artificial neural network for quality prediction of industrial standard water
Yusraini Muharni, Kulsum, Apriliawati Denisa, et al.
IOP Conference Series Earth and Environmental Science (2021) Vol. 926, Iss. 1, pp. 012048-012048
Open Access | Times Cited: 1
Comparison between Machine-Learning-Based Turbidity Models Developed for Different Lake Zones in a Large Shallow Lake
Runtao Hu, Wangchen Xu, Wenming Yan, et al.
Water (2023) Vol. 15, Iss. 3, pp. 387-387
Open Access
An application of multiple regression for predicting Turbidity of standard water quality for industrial and household consumption
Yusraini Muharni, Natalia Hartono
Journal Industrial Servicess (2021) Vol. 7, Iss. 1, pp. 8-8
Open Access
Research on a Time Series Deep Learning Model of Non-point Source Water Pollution in a River Basin
Rui Xu, Meng Zhang, Shiming Shen, et al.
(2021), pp. 74-79
Closed Access
Research on Credit Loan Risk Control of Big Data Platform Based on Long and Cycle Memory Neural Network
Hengwei Dai
2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA) (2021), pp. 349-352
Closed Access
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