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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:

Applications of artificial intelligence technologies in water environments: From basic techniques to novel tiny machine learning systems
Majid Bagheri, Nakisa Farshforoush, Karim Bagheri, et al.
Process Safety and Environmental Protection (2023) Vol. 180, pp. 10-22
Open Access | Times Cited: 14

Showing 14 citing articles:

An artificial intelligence study on energy, exergy, and environmental aspects of upcycling face mask waste to a hydrogen-rich syngas through a thermal conversion process
Parisa Mojaver, Shahram Khalilarya
Process Safety and Environmental Protection (2024) Vol. 187, pp. 1189-1200
Closed Access | Times Cited: 17
Current Status of Emerging Contaminant Models and Their Applications Concerning the Aquatic Environment: A Review
Zhuang Liu, Yonghai Gan, Jun Luo, et al.
Water (2025) Vol. 17, Iss. 1, pp. 85-85
Open Access | Times Cited: 1
Artificial intelligence and water quality: From drinking water to wastewater
Christian Hazael Pérez-Beltrán, Alicia Robles, N. Rodríguez, et al.
TrAC Trends in Analytical Chemistry (2024) Vol. 172, pp. 117597-117597
Closed Access | Times Cited: 14
Integrating artificial intelligence modeling and membrane technologies for advanced wastewater treatment: Research progress and future perspectives
Stefano Cairone, Shadi W. Hasan, Kwang‐Ho Choo, et al.
The Science of The Total Environment (2024) Vol. 944, pp. 173999-173999
Open Access | Times Cited: 10
AI-driven modelling approaches for predicting oxygen levels in aquatic environments
Rosysmita Bikram Singh, Agnieszka I. Olbert, Avinash Samantra, et al.
Journal of Water Process Engineering (2024) Vol. 66, pp. 105940-105940
Open Access | Times Cited: 9
Advanced Temporal Deep Learning Framework for Enhanced Predictive Modeling in Industrial Treatment Systems
S Ramya, S Srinath, Pushpa Tuppad
Results in Engineering (2025), pp. 104158-104158
Open Access
Enhancing water quality management: the role of predictive modeling and IoT in monitoring, analysis, and intervention
Kartavya Mathur, Parbodh Chander Sharma, Nisha Gaur, et al.
Elsevier eBooks (2025), pp. 43-68
Closed Access
AI-Enhanced Real-Time Monitoring of Marine Pollution: Part 2—A Spectral Analysis Approach
Navya Prakash, Oliver Zielinski
Journal of Marine Science and Engineering (2025) Vol. 13, Iss. 4, pp. 636-636
Open Access
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
Assessing the Impacts of Climate and Land Use Change on Water Conservation in the Three-River Headstreams Region of China Based on the Integration of the InVEST Model and Machine Learning
Xinyue Xie, Min Peng, Linglei Zhang, et al.
Land (2024) Vol. 13, Iss. 3, pp. 352-352
Open Access | Times Cited: 1
Predicting social welfare in Madrid neighbourhoods using machine learning
Carlos Alberto Lastras Rodríguez
Regional Studies Regional Science (2024) Vol. 11, Iss. 1, pp. 496-522
Open Access
TinyML-Raman: A Novel IoT Based Field-Deployable Spectra Analysis for Accurate Identification of Pharmaceuticals and Trace Dye-Pesticide Mixtures from Facile SERS method
Venkat Suprabath Bitra, Shweta Verma, B. Tirumala Rao
Analytica Chimica Acta (2024) Vol. 1322, pp. 343063-343063
Closed Access
Su Dalga Enerjisi Üretimi ve Yapay Zekâ: Türkiye’nin Dünyadaki Yeri
Selma Kaymaz, Tuğrul Bayraktar, Çağrı Sel
Yüzüncü Yıl Üniversitesi Fen Bilimleri Enstitüsü Dergisi (2024) Vol. 29, Iss. 2, pp. 798-822
Open Access
Characterization of Water Consumers in Urban Areas Based on Data Visualization Techniques
Manuel Rubiños, Paula Arcano-Bea, Antonio Díaz-Longueira, et al.
Lecture notes in computer science (2024), pp. 88-99
Closed Access
Spatiotemporal monitoring of groundwater supply and active energy for irrigation practice in semi-arid regions of Tunisia with machine learning
Sana Ben Mariem, Sabri Kanzari, Adel Zghibi, et al.
Water Practice & Technology (2024)
Closed Access
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