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:

Unveiling the impact and selectivity of BiVO4/rGO-SiO2 adsorbents for arsenic in ground water: An effective approach for the public safety
Khezina Rafiq, Meryam Sultana, Muhammad Zeeshan Abid, et al.
Journal of Industrial and Engineering Chemistry (2024) Vol. 139, pp. 336-346
Closed Access | Times Cited: 7

Showing 7 citing articles:

Unveiling the surface potential and selectivity of Ti3C2Tx/rGO adsorbents for arsenic removal from water system
Muhammad Zeeshan Abid, Khezina Rafiq, Aqsa Khan Buzdar, et al.
Journal of Cleaner Production (2025) Vol. 490, pp. 144680-144680
Closed Access

Leveraging Industrial Jarosite Waste for Arsenic(V) and Chromium(III) Adsorption from Water: A Preliminary Study
Montserrat Cruz-Hernández, Alondra García-Cerón, R. Maldonado, et al.
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1469-1469
Open Access

Unveiling the potential of Fe2O3/TiO2 system to produce clean water: An effective and low‒cost approach for arsenic removal from ground water
Khezina Rafiq, Sidra Asghar, Muhammad Zeeshan Abid, et al.
Surfaces and Interfaces (2024) Vol. 52, pp. 104913-104913
Closed Access | Times Cited: 4

Catalytic charge synergy on Ni/Sr@rTiO2 system to promote hydrogen evolution for the implementation of green energy technologies
Ejaz Hussain, Sidra Khan, Muhammad Jalil, et al.
Fuel (2024) Vol. 382, pp. 133672-133672
Closed Access | Times Cited: 3

A cutting–edge approach to remove arsenic contents from ground water via sulfur doped copper ferrites (S–CuFe2O4) †
Ejaz Hussain, Aqsa Khan Buzdar, Muhammad Zeeshan Abid, et al.
Journal of Environmental Management (2024) Vol. 370, pp. 122759-122759
Closed Access | Times Cited: 1

Machine learning integration with response surface methodology to enhance the removal efficacy of arsenate (V) through sulfur-functionalized mxene coated QPPO/PVA AEM
Nimra Saher Zain, Ibrahim A. Shaaban, Farhan Zafar, et al.
Journal of Environmental Management (2024) Vol. 371, pp. 123211-123211
Closed Access

Gd-BiVO4: An efficient photoanode for pharmaceuticals degradation in contaminated waters via solar photoelectrocatalysis
M Guardiano, Isabelle M.D. Gonzaga, Lara Kelly Ribeiro, et al.
Chemical Engineering Journal (2024), pp. 158463-158463
Closed Access

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