Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Neural-based modeling adsorption capacity of metal organic framework materials with application in wastewater treatment
Mozhgan Parsaei, E Shafiee Roudbari, Farhad Piri, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 11

Showing 11 citing articles:

Metal-organic frameworks in separations: A review
Sepideh Khaki Firooz, Daniel W. Armstrong
Analytica Chimica Acta (2022) Vol. 1234, pp. 340208-340208
Closed Access | Times Cited: 47
Water and wastewater quality prediction: current trends and challenges in the implementation of artificial neural network
Anuja Jadhav, Pranav D. Pathak, Roshani Raut
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 2
Closed Access | Times Cited: 23
Artificial intelligence and machine learning algorithms in the detection of heavy metals in water and wastewater: Methodological and ethical challenges
Brij Mohan Maurya, Nidhi Yadav, T. Amudha, et al.
Chemosphere (2024) Vol. 353, pp. 141474-141474
Closed Access | Times Cited: 10
Metal–organic framework composites from a mechanochemical process
Wupeng Wang, Milton Chai, Muhammad Yazid Bin Zulkifli, et al.
Molecular Systems Design & Engineering (2022) Vol. 8, Iss. 5, pp. 560-579
Open Access | Times Cited: 28
Computational Fluid Dynamics Analysis of Mercury Adsorption by Inverse-Vulcanized Porous Sulfur Copolymers
Riffat Amna, Kabbir Ali, Saeed M. Alhassan
Industrial & Engineering Chemistry Research (2023) Vol. 62, Iss. 31, pp. 12277-12290
Open Access | Times Cited: 11
Artificial intelligence integration in conventional wastewater treatment techniques: techno-economic evaluation, recent progress and its future direction
B. Senthil Rathi, P. Senthil Kumar, S Sanjay, et al.
International Journal of Environmental Science and Technology (2024)
Closed Access | Times Cited: 2
Prediction of Oil Sorption Capacity on Carbonized Mixtures of Shungite Using Artificial Neural Networks
Mircea Vasile Cristea, Moldir Baigulbayeva, Yerdos Ongarbayev, et al.
Processes (2023) Vol. 11, Iss. 2, pp. 518-518
Open Access | Times Cited: 6
Drug delivery system tailoring via metal-organic framework property prediction using machine learning: A disregarded approach
Niki Pouyanfar, Mahnaz Ahmadi, Seyed Mohammad Ayyoubzadeh, et al.
Materials Today Communications (2023) Vol. 38, pp. 107938-107938
Closed Access | Times Cited: 6
Synthesis of Eco-friendly Polyaniline-Zeolite Nanocomposite for Pollutant Remediation: Empowered by Robust Machine Learning Algorithm
Megha Parmar, Vipin Shukla, Mahuya Bandyopadhyay, et al.
Journal of Cleaner Production (2024) Vol. 470, pp. 143339-143339
Closed Access | Times Cited: 1
Cobalt Biosorption in Fixed-Bed Column Using Greenhouse Crop Residue as Natural Sorbent
G. Blázquez, M.A. Martín‐Lara, I. Iáñez-Rodríguez, et al.
Separations (2022) Vol. 9, Iss. 10, pp. 316-316
Open Access | Times Cited: 4
Predictive Modeling for Pollutant Removal: Machine Learning Algorithms for Predictive Analysis
Aparna Monga, Durgesh Nandini
(2024), pp. 175-203
Closed Access
Page 1

Scroll to top