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:

Decoding river pollution trends and their landscape determinants in an ecologically fragile karst basin using a machine learning model
Guoyu Xu, Hongxiang Fan, David M. Oliver, et al.
Environmental Research (2022) Vol. 214, pp. 113843-113843
Open Access | Times Cited: 23

Showing 23 citing articles:

Applications of XGBoost in water resources engineering: A systematic literature review (Dec 2018–May 2023)
Majid Niazkar, Andrea Menapace, Bruno Brentan, et al.
Environmental Modelling & Software (2024) Vol. 174, pp. 105971-105971
Closed Access | Times Cited: 57

Exploring the association between the built environment and positive sentiments of tourists in traditional villages in Fuzhou, China
Zhengyan Chen, Honghui Yang, Yishan Lin, et al.
Ecological Informatics (2024) Vol. 80, pp. 102465-102465
Open Access | Times Cited: 12

Immune, metabolic landscapes of prognostic signatures for lung adenocarcinoma based on a novel deep learning framework
Shimei Qin, Shibin Sun, Yahui Wang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6

Atmospheric water demand constrains net ecosystem production in subtropical mangrove forests
Ruikun Gou, Jinshu Chi, Jiangong Liu, et al.
Journal of Hydrology (2024) Vol. 630, pp. 130651-130651
Closed Access | Times Cited: 6

Prediction of phytoplankton biomass and identification of key influencing factors using interpretable machine learning models
Yi Xu, Di Zhang, Junqiang Lin, et al.
Ecological Indicators (2023) Vol. 158, pp. 111320-111320
Open Access | Times Cited: 15

An Overall Perspective for the Study of Emerging Contaminants in Karst Aquifers
Claudia Campanale, Daniela Losacco, Mariangela Triozzi, et al.
Resources (2022) Vol. 11, Iss. 11, pp. 105-105
Open Access | Times Cited: 20

Predictive modeling of nitrogen and phosphorus concentrations in rivers using a machine learning framework: A case study in an urban-rural transitional area in Wenzhou China
Jingyuan Xue, Can Yuan, Xiaoliang Ji, et al.
The Science of The Total Environment (2023) Vol. 910, pp. 168521-168521
Open Access | Times Cited: 11

Pollution loads in the Middle-Lower Yangtze River by coupling water quality models with machine learning
Huang Sheng, Jun Xia, Yueling Wang, et al.
Water Research (2024) Vol. 263, pp. 122191-122191
Closed Access | Times Cited: 3

Anthropogenic gadolinium sources and remediation in highly urbanized river in the Beijing-Tianjin-Hebei (BTH) region, China: Insights from buffer zone and three-dimensional tracer system
Xi Gao, Guilin Han, Shitong Zhang, et al.
Process Safety and Environmental Protection (2024) Vol. 186, pp. 37-48
Closed Access | Times Cited: 2

Developing a data-driven modeling framework for simulating a chemical accident in freshwater
Soobin Kim, Ather Abbas, JongCheol Pyo, et al.
Journal of Cleaner Production (2023) Vol. 425, pp. 138842-138842
Closed Access | Times Cited: 5

A Multifunctional Conceptual Framework for Ecological Disturbance Assessment
Vahideh Moradzadeh, Zeinab Hazbavi, اباذر اسمعلی عوری, et al.
Earth Systems and Environment (2024) Vol. 9, Iss. 1, pp. 51-69
Closed Access | Times Cited: 1

Water quality assessment in a large plateau lake in China from 2014 to 2021 with machine learning models: Implications for future water quality management
Bo Xu, Ting Zhou, Chenyi Kuang, et al.
The Science of The Total Environment (2024) Vol. 946, pp. 174212-174212
Closed Access | Times Cited: 1

Groundwater Vulnerability and Groundwater Contamination Risk in Karst Area of Southwest China
Jingchao Liu, Jin Wu, Shaowei Rong, et al.
Sustainability (2022) Vol. 14, Iss. 21, pp. 14483-14483
Open Access | Times Cited: 4

Modeling Hydrodynamic Behavior of the Ottawa River: Harnessing the Power of Numerical Simulation and Machine Learning for Enhanced Predictability
Jean Cardi, Antony Dussel, Clara Letessier, et al.
Hydrology (2023) Vol. 10, Iss. 9, pp. 177-177
Open Access | Times Cited: 2

Spatial Analysis of Water Quality Trends in Wastewater Treatment Using GIS and Machine Learning
Akshay Kumar, Farhan Mohammad Khan, Rajiv Gupta
World Environmental and Water Resources Congress 2011 (2024), pp. 1451-1470
Closed Access

Evaluating the Performance of Ce-Qual-W2 Sediment Diagenesis Model
Manuel Almeida, Pedro Coelho
(2024)
Closed Access

Machine Learning Approaches for Ecological Compensation in Transboundary Waters
Hongli Diao, Yuan Jiang, Shibin Xia
Environmental Pollution and Management (2024)
Open Access

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