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:

Spatially adaptive machine learning models for predicting water quality in Hong Kong
Qiaoli Wang, Zijun Li, Jiannan Cai, et al.
Journal of Hydrology (2023) Vol. 622, pp. 129649-129649
Closed Access | Times Cited: 17

Showing 17 citing articles:

Assessing and predicting water quality index with key water parameters by machine learning models in coastal cities, China
Jing Xu, Yuming Mo, Senlin Zhu, et al.
Heliyon (2024) Vol. 10, Iss. 13, pp. e33695-e33695
Open Access | Times Cited: 5

An enhanced combined model for water quality prediction utilizing spatiotemporal features and physical-informed constraints
Jiaming Zhu, Dai Wan, Jingyi Shao, et al.
Expert Systems with Applications (2025), pp. 126937-126937
Closed Access

Machine learning and artificial intelligence application in automotive water quality monitoring, analysis, and management
Arvind Kumar, Abdul Gaffar Sheik, Faizal Bux, et al.
Elsevier eBooks (2025), pp. 89-109
Closed Access

A COMPARATIVE STUDY OF CATBOOST AND ARTIFICIAL NEURAL NETWORKS IN ENHANCING TRIP GENERATION MODELLING FOR ILORIN CITY
Oreoluwa Temidayo Biala
Journal of Civil Engineering Science and Technology (2024) Vol. 15, Iss. 1, pp. 18-29
Open Access | Times Cited: 3

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

Understanding Social Inequality in Individual Perceived Exposures to Air Pollution in Residential and Visited Neighborhoods: A Study Using Association Rule Mining
Jiannan Cai, Mei‐Po Kwan
Annals of the American Association of Geographers (2023) Vol. 113, Iss. 10, pp. 2392-2416
Closed Access | Times Cited: 5

A fascinating exploration into nitrite accumulation into low concentration reactors using cutting-edge machine learning techniques
Hareef Ahmed Keerio, Sabab Ali Shah, Zouhaib Ali, et al.
Process Biochemistry (2024) Vol. 146, pp. 160-168
Closed Access | Times Cited: 1

Machine Learning Methods for the Prediction of Wastewater Treatment Efficiency and Anomaly Classification with Lack of Historical Data
Igor Gulshin, Olga Kuzina
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10689-10689
Open Access | Times Cited: 1

Investigating the Causal Effects of Anthropogenic Factors on Urban Streams and Lakes Water Quality by Integrating Causal Inference with Interpretable Machine Learning
Shuying Liu, Jing Xu, Runzi Wang, et al.
Journal of Cleaner Production (2024), pp. 144626-144626
Closed Access | Times Cited: 1

Water quality analysis based on LSTM and BP optimization with a transfer learning model
Qun Luo, Dingzhi Peng, Wenjian Shang, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 59, pp. 124341-124352
Closed Access | Times Cited: 2

Water Quality by Spectral Proper Orthogonal Decomposition and Deep Learning Algorithms
Shaogeng Zhang, Junqiang Lin, Youkun Li, et al.
Sustainability (2024) Vol. 17, Iss. 1, pp. 114-114
Open Access

Improving crop rotation classification using a random forest model incorporating spatial heterogeneity
Xiaomi Wang, Qi Tang, Kang Yang
Geocarto International (2024) Vol. 39, Iss. 1
Open Access

Long-term prediction of multiple river water quality indexes based on hybrid deep learning models
Yankun Hu, Lyu Li, Ning Wang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 12, pp. 125803-125803
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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