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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:

Research on a multiparameter water quality prediction method based on a hybrid model
Zhiqiang Zheng, Hao Ding, Zhi Weng, et al.
Ecological Informatics (2023) Vol. 76, pp. 102125-102125
Closed Access | Times Cited: 15

Showing 15 citing articles:

Water quality prediction in the Yellow River source area based on the DeepTCN-GRU model
Qingqing Tian, Wei Luo, Lei Guo
Journal of Water Process Engineering (2024) Vol. 59, pp. 105052-105052
Closed Access | Times Cited: 19
A stacking ANN ensemble model of ML models for stream water quality prediction of Godavari River Basin, India
Nagalapalli Satish, Jagadeesh Anmala, K. Rajitha, et al.
Ecological Informatics (2024) Vol. 80, pp. 102500-102500
Open Access | Times Cited: 14
Coupling coordination degree analysis and spatiotemporal heterogeneity between water ecosystem service value and water system in Yellow River Basin cities
Donghai Yuan, Manrui Du, Chenling Yan, et al.
Ecological Informatics (2023) Vol. 79, pp. 102440-102440
Open Access | Times Cited: 25
A deep learning-based biomonitoring system for detecting water pollution using Caenorhabditis elegans swimming behaviors
Seung‐Ho Kang, In-Seon Jeong, Hyeong-Seok Lim
Ecological Informatics (2024) Vol. 80, pp. 102482-102482
Open Access | Times Cited: 6
Forecasting biochemical oxygen demand (BOD) in River Ganga: a case study employing supervised machine learning and ANN techniques
Rohan Mishra, Rupanjali Singh, C. B. Majumder
Sustainable Water Resources Management (2025) Vol. 11, Iss. 1
Closed Access
GA-ML: enhancing the prediction of water electrical conductivity through genetic algorithm-based end-to-end hyperparameter tuning
Muhammed Furkan Gül, Halit Bakır
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access
Dissolved Oxygen Prediction in the Dianchi River Basin with Explainable Artificial Intelligence based on Physical Prior Knowledge
Tunhua Wu, Xi Chen, Jinghan Dong, et al.
Environmental Modelling & Software (2025) Vol. 188, pp. 106412-106412
Closed Access
Pattern detection and prediction using deep learning for intelligent decision support to identify fish behaviour in aquaculture
S Shreesha, M. M. Manohara Pai, Radhika M. Pai, et al.
Ecological Informatics (2023) Vol. 78, pp. 102287-102287
Closed Access | Times Cited: 13
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 long-term multivariate time series prediction model for dissolved oxygen
Jingzhe Hu, Peixuan Wang, Dashe Li, et al.
Ecological Informatics (2024) Vol. 82, pp. 102695-102695
Open Access | Times Cited: 3
A novel hybrid deep learning model for real-time monitoring of water pollution using sensor data
Majid Bagheri, Karim Bagheri, Nakisa Farshforoush, et al.
Journal of Water Process Engineering (2024) Vol. 68, pp. 106595-106595
Closed Access | Times Cited: 2
Recent Progress on Surface Water Quality Models Utilizing Machine Learning Techniques
Mengjie He, Qin Qian, Xinyu Liu, et al.
Water (2024) Vol. 16, Iss. 24, pp. 3616-3616
Open Access | Times Cited: 1
Short-term forecasting of dissolved oxygen based on spatial-temporal attention mechanism and kernel-based loss function
Neha Pant, Durga Toshniwal, Bhola R. Gurjar
Journal of Water Process Engineering (2024) Vol. 69, pp. 106677-106677
Closed Access
Environmental water quality prediction based on COOT-CSO-LSTM deep learning
S. Rajagopal, S. Sankar Ganesh, Alagar Karthick, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 42, pp. 54525-54533
Closed Access
Quality control prediction of electrolytic copper using novel hybrid nonlinear analysis algorithm
Yuzhen Su, Weichuan Ye, Kai Yang, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 1
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