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:

Evaluating the efficiency of nanofiltration and reverse osmosis membranes for the removal of micro-pollutants using a machine learning approach
Parnian Masuodi, Fatemeh Bahmanzadegan, Alireza Hemmati, et al.
Case Studies in Chemical and Environmental Engineering (2024) Vol. 9, pp. 100750-100750
Open Access | Times Cited: 6

Showing 6 citing articles:

Predicting micropollutant removal through nanopore-sized membranes using several machine-learning approaches based on feature engineering
Lukka Thuyavan Yogarathinam, Sani I. Abba, Jamilu Usman, et al.
RSC Advances (2024) Vol. 14, Iss. 27, pp. 19331-19348
Open Access | Times Cited: 1

A Comprehensive Review of AI Algorithms for Performance Prediction, Optimization, and Process Control in Desalination Systems.
Mahmoud Ibnouf, Hadi Jaber, Hadil Abu Khalifeh, et al.
Desalination and Water Treatment (2024) Vol. 321, pp. 100892-100892
Open Access | Times Cited: 1

Predictive Modeling of the Long-term Effects of Combined Chemical Admixtures on Concrete Compressive Strength Using Machine Learning Algorithms
S. Heidari, Majid Safehian, Faramarz Moodi, et al.
Case Studies in Chemical and Environmental Engineering (2024) Vol. 10, pp. 101008-101008
Open Access

Micropollutants removal from aquaculture water using layer-by-layer self-assembled nanofiltration membranes
Bowen Zhou, Juan Luo, Jin Meng, et al.
Water Research (2024) Vol. 271, pp. 122933-122933
Closed Access

A Machine Learning Framework to Predict PPCP Removal Through Various Wastewater and Water Reuse Treatment Trains
Joung Min Choi, Vineeth Manthapuri, Ishi Keenum, et al.
Environmental Science Water Research & Technology (2024)
Open Access

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