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:
Machine learning screening tools for the prediction of extraction yields of pharmaceutical compounds from wastewaters
Ana Casas, Diego RodrÃguez-Llorente, Guillermo RodrÃguez-Llorente, et al.
Journal of Water Process Engineering (2024) Vol. 62, pp. 105379-105379
Open Access | Times Cited: 4
Ana Casas, Diego RodrÃguez-Llorente, Guillermo RodrÃguez-Llorente, et al.
Journal of Water Process Engineering (2024) Vol. 62, pp. 105379-105379
Open Access | Times Cited: 4
Showing 4 citing articles:
A data driven machine learning approach for predicting and optimizing sulfur compound adsorption on metal organic frameworks
Mohsen Shayanmehr, Sepehr Aarabi, Ahad Ghaemi, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Mohsen Shayanmehr, Sepehr Aarabi, Ahad Ghaemi, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A novel interpretable machine learning and metaheuristic-based protocol to predict and optimize ciprofloxacin antibiotic adsorption with nano-adsorbent
Yunus Ahmed, Akser Alam Siddiqua Maya, Parul Akhtar, et al.
Journal of Environmental Management (2024) Vol. 370, pp. 122614-122614
Closed Access | Times Cited: 5
Yunus Ahmed, Akser Alam Siddiqua Maya, Parul Akhtar, et al.
Journal of Environmental Management (2024) Vol. 370, pp. 122614-122614
Closed Access | Times Cited: 5
Optimizing Photocatalytic Dye Degradation: A Machine Learning and Metaheuristic Approach for Predicting Methylene Blue in Contaminated Water
Yunus Ahmed, Krishna Dutta, Sharmin Nahar Chowdhury Nepu, et al.
Results in Engineering (2024), pp. 103538-103538
Open Access | Times Cited: 4
Yunus Ahmed, Krishna Dutta, Sharmin Nahar Chowdhury Nepu, et al.
Results in Engineering (2024), pp. 103538-103538
Open Access | Times Cited: 4
Advanced Ciprofloxacin Quantification: A Machine Learning and Metaheuristic Approach Using Ultrasensitive Chitosan-Gold Nanoparticle Based Electrochemical Sensor
Yunus Ahmed, Tahmina Akter, Meherunnesa Prima, et al.
Journal of environmental chemical engineering (2024), pp. 115094-115094
Closed Access | Times Cited: 1
Yunus Ahmed, Tahmina Akter, Meherunnesa Prima, et al.
Journal of environmental chemical engineering (2024), pp. 115094-115094
Closed Access | Times Cited: 1
Efficient Machine-Learning-Based New Tools to Design Eutectic Mixtures and Predict Their Viscosity
Stella Christodoulou, Camille Cousseau, Emmanuelle Limanton, et al.
ACS Sustainable Chemistry & Engineering (2024) Vol. 12, Iss. 52, pp. 18537-18554
Closed Access
Stella Christodoulou, Camille Cousseau, Emmanuelle Limanton, et al.
ACS Sustainable Chemistry & Engineering (2024) Vol. 12, Iss. 52, pp. 18537-18554
Closed Access
