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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:

Nitrate concentration analysis and prediction in a shallow aquifer in central-eastern Tunisia using artificial neural network and time series modelling
Asma El Amrı, Soumaia M’nassri, Nessrine Nasri, et al.
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 28, pp. 43300-43318
Closed Access | Times Cited: 14

Showing 14 citing articles:

Revealing the drivers and genesis of NO3-N pollution classification in shallow groundwater of the Shaying River Basin by explainable machine learning and pathway analysis method
Yanjia Chu, Baonan He, Jiangtao He, et al.
The Science of The Total Environment (2024) Vol. 918, pp. 170742-170742
Closed Access | Times Cited: 14
Human health risk of nitrate in groundwater of Tehran–Karaj plain, Iran
Maedeh Alizadeh, Roohollah Noori, Babak Omidvar, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 13
Machine learning-based prediction of toxic metals concentration in an acid mine drainage environment, northern Tunisia
Mariem Trifi, Anis Gasmi, Cristina Carbone, et al.
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 58, pp. 87490-87508
Closed Access | Times Cited: 25
Identification of critical effect factors for prediction of spatial and intra-annual variability of shallow groundwater nitrate in agricultural areas
Chunying Wang, Xinliang Wang, Gengchen Zhang, et al.
The Science of The Total Environment (2023) Vol. 891, pp. 164342-164342
Open Access | Times Cited: 13
A Hybrid Machine Learning Model for Modeling Nitrate Concentration in Water Sources
Adnan Mazraeh, Meysam Bagherifar, Saeid Shabanlou, et al.
Water Air & Soil Pollution (2023) Vol. 234, Iss. 11
Closed Access | Times Cited: 10
A Novel Method to Forecast Nitrate Concentration Levels in Irrigation Areas for Sustainable Agriculture
Halil Karahan, Müge Erkan Can
Agriculture (2025) Vol. 15, Iss. 2, pp. 161-161
Open Access
Prediction and Comparison of In-Vehicle CO2 Concentration Based on ARIMA and LSTM Models
Jie Han, Han Lin, Zhenkai Qin
Applied Sciences (2023) Vol. 13, Iss. 19, pp. 10858-10858
Open Access | Times Cited: 9
Identification of groundwater potential recharge zones in a Tunisian anthropogenic coastal region: Insights from multi-criteria decision-making techniques
Fatma Ezzahra Slimani, Adel Zghibi, Adel Elomri, et al.
Journal of African Earth Sciences (2023) Vol. 209, pp. 105108-105108
Open Access | Times Cited: 9
A parsimonious model for predicting the NO3−-N concentration in shallow groundwater in intensive agricultural areas using few easily accessible indicators and small datasets based on machine learning
Panlei Wang, Dan Zhang, Tao Xiang, et al.
Journal of Hydrology (2023) Vol. 619, pp. 129356-129356
Closed Access | Times Cited: 8
A novel global average temperature prediction model——based on GM-ARIMA combination model
Xiaoxin Chen, Zhansi Jiang, Hao Cheng, et al.
Earth Science Informatics (2023) Vol. 17, Iss. 1, pp. 853-866
Closed Access | Times Cited: 6
Assessment of groundwater vulnerability in coastal zone using SI method and GIS: case study of Bouficha aquifer (northeast Tunisia)
Madiha Arfaoui, Soumaya Aouiti, Fadoua Hamzaoui Azaza, et al.
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 50, pp. 75699-75715
Closed Access | Times Cited: 4
Resource and Environmental Risk Assessment of Groundwater Well Fields in the Beijing-Tianjin-Hebei Region
Chu Wu, Kewang Tang, Chuiyu Lu, et al.
(2024)
Closed Access
Resource and environmental risk assessment of groundwater well fields in the Beijing-Tianjin-Hebei region
Chu Wu, Kewang Tang, Chuiyu Lu, et al.
Groundwater for Sustainable Development (2024) Vol. 26, pp. 101235-101235
Closed Access
Early Warning and Formation Mechanism of Groundwater Environment Based on BP Neural Network and Grey Relational Analysis
Qiying Zhang, Hui Qian, Wenhao Ren, et al.
(2024)
Closed Access
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