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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:

Machine learning prediction of dye adsorption by hydrochar: Parameter optimization and experimental validation
Chong Liu, P. Balasubramanian, Fayong Li, et al.
Journal of Hazardous Materials (2024) Vol. 480, pp. 135853-135853
Closed Access | Times Cited: 11

Showing 11 citing articles:

Phosphoric acid based geopolymer foam-activated carbon composite for methylene blue adsorption: isotherm, kinetics, thermodynamics, and machine learning studies
Muhammad Irfan Khan, Suriati Sufian, Farrukh Hassan, et al.
RSC Advances (2025) Vol. 15, Iss. 3, pp. 1989-2010
Open Access | Times Cited: 2
Machine learning prediction of ammonia nitrogen adsorption on biochar with model evaluation and optimization
Chong Liu, P. Balasubramanian, Jingxian An, et al.
npj Clean Water (2025) Vol. 8, Iss. 1
Open Access | Times Cited: 1
Chitosan-based materials for emerging contaminants removal: Bibliometric analysis, research progress, and directions
Chong Liu, Grégorio Crini, Éric Lichtfouse, et al.
Journal of Water Process Engineering (2025) Vol. 71, pp. 107327-107327
Closed Access | Times Cited: 1
Machine learning-driven prediction of biochar adsorption capacity for effective removal of Congo red dye
Shubham Yadav, P. K. Rajput, P. Balasubramanian, et al.
Carbon Research (2025) Vol. 4, Iss. 1
Open Access
Enhanced fluoride removal by modified water hyacinth: response surface methodology and machine learning approach
Jagadish H. Patil, Raviraj Kusanur, Poornima G. Hiremath, et al.
Biomass Conversion and Biorefinery (2025)
Closed Access
Areca Catechu Biochar and Nano-Biochar as Adsorbents for Congo Red: Synthesis, Characterization, and Performance Evaluation
Robiatul Adawiyah, Nova Yuliasari, Yulizah Hanifah, et al.
BULLETIN OF CHEMICAL REACTION ENGINEERING AND CATALYSIS (2025) Vol. 20, Iss. 1, pp. 112-128
Open Access
Leveraging Artificial Intelligence Models (GBR, SVR, and GA) for Efficient Chromium Reduction via UV/Trichlorophenol/Sulfite Reaction
Amir H. Mohammadi, Parsa Khakzad, Tayebeh Rasolevandi, et al.
Results in Engineering (2025), pp. 104599-104599
Open Access
Predictive Capability of Dye Removal from Wastewater Using Biochar by a Rough Set Machine Learning Model
P. Balasubramanian, Muhil Raj Prabhakar, Chong Liu, et al.
ACS ES&T Water (2025)
Closed Access
Synthesis of Copper-Impregnated MCM-41 from Synthetic and Rice Husk-Derived Silica for Efficient Adsorption of Levofloxacin: A Machine Learning Approach
Gayatri Rajput, Vijayalakshmi Gosu, Verraboina Subbaramaiah
Journal of environmental chemical engineering (2025), pp. 115634-115634
Closed Access
Design optimization of bimetal-modified biochar for enhanced phosphate removal performance in livestock wastewater using machine learning
Weilin Fu, Xia Yao, Lisheng Zhang, et al.
Bioresource Technology (2024), pp. 131898-131898
Closed Access | Times Cited: 3
Unravelling heterogenous adsorption performance of hydrochar particle and key properties in heavy metal immobilization relative to corresponding residual bulk hydrochar
Wenjing Guo, Zhiyong Zhang, Yan‐Fang Feng, et al.
Process Safety and Environmental Protection (2024)
Closed Access | Times Cited: 2
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