OpenAlex Citation Counts

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:

A deep learning neural network approach for predicting the factors influencing heavy-metal adsorption by clay minerals
Rui Liu, Lei Zuo, Peng Zhang, et al.
Clay Minerals (2022) Vol. 57, Iss. 1, pp. 70-76
Open Access | Times Cited: 4

Showing 4 citing articles:

Digital exploration of selected heavy metals using Random Forest and a set of environmental covariates at the watershed scale
Shohreh Moradpour, Mojgan Entezari, Shamsollah Ayoubi, et al.
Journal of Hazardous Materials (2023) Vol. 455, pp. 131609-131609
Closed Access | Times Cited: 39

Tracking the impact of heavy metals on human health and ecological environments in complex coastal aquifers using improved machine learning optimization
Abdulhayat M. Jibrin, Sani I. Abba, Jamilu Usman, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 40, pp. 53219-53236
Closed Access | Times Cited: 1

Unraveling the Complexity of Iron Oxide and Organic Matter Expression in Heavy Metal Sorption: Insights from Artificially Composited Sediments
Hao-Qin Xiong, Yuan Wang, Yu-Jin Yang, et al.
(2024)
Closed Access

Prediction of arsenic (III) adsorption from aqueous solution using non-neural network algorithms
Nazmul Hassan Mirza, Takeshi Fujino
Water Emerging Contaminants & Nanoplastics (2024) Vol. 3, Iss. 4
Open Access

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Requested Article:

Showing 4 citing articles:

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