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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:

Prediction of Soil Heavy Metal Immobilization by Biochar Using Machine Learning
Kumuduni Niroshika Palansooriya, Jie Li, Pavani Dulanja Dissanayake, et al.
Environmental Science & Technology (2022) Vol. 56, Iss. 7, pp. 4187-4198
Open Access | Times Cited: 290

Showing 1-25 of 290 citing articles:

Waste-derived biochar for water pollution control and sustainable development
Mingjing He, Zibo Xu, Deyi Hou, et al.
Nature Reviews Earth & Environment (2022) Vol. 3, Iss. 7, pp. 444-460
Closed Access | Times Cited: 456
Applications of machine learning in thermochemical conversion of biomass-A review
Muzammil Khan, Salman Raza Naqvi, Zahid Ullah, et al.
Fuel (2022) Vol. 332, pp. 126055-126055
Closed Access | Times Cited: 141
New use for Lentinus edodes bran biochar for tetracycline removal
Xiao Liu, Ziyi Shao, Yuxin Wang, et al.
Environmental Research (2022) Vol. 216, pp. 114651-114651
Closed Access | Times Cited: 111
A review on control and abatement of soil pollution by heavy metals: Emphasis on artificial intelligence in recovery of contaminated soil
Krishna Gautam, Poonam Sharma, Shreya Dwivedi, et al.
Environmental Research (2023) Vol. 225, pp. 115592-115592
Closed Access | Times Cited: 111
Recent advancements and challenges in emerging applications of biochar-based catalysts
Xiangzhou Yuan, Yang Cao, Jie Li, et al.
Biotechnology Advances (2023) Vol. 67, pp. 108181-108181
Open Access | Times Cited: 100
Machine-learning-aided thermochemical treatment of biomass: a review
Hailong Li, Jiefeng Chen, Weijin Zhang, et al.
Biofuel Research Journal (2023) Vol. 10, Iss. 1, pp. 1786-1809
Open Access | Times Cited: 96
Machine learning for hydrothermal treatment of biomass: A review
Weijin Zhang, Qingyue Chen, Jiefeng Chen, et al.
Bioresource Technology (2022) Vol. 370, pp. 128547-128547
Closed Access | Times Cited: 88
Enhancing Biochar-Based Nonradical Persulfate Activation Using Data-Driven Techniques
Rupeng Wang, Shiyu Zhang, Honglin Chen, et al.
Environmental Science & Technology (2023) Vol. 57, Iss. 9, pp. 4050-4059
Closed Access | Times Cited: 87
Modeling phytoremediation of heavy metal contaminated soils through machine learning
Liang Shi, Jie Li, Kumuduni Niroshika Palansooriya, et al.
Journal of Hazardous Materials (2022) Vol. 441, pp. 129904-129904
Closed Access | Times Cited: 77
Machine learning predicting and engineering the yield, N content, and specific surface area of biochar derived from pyrolysis of biomass
Lijian Leng, Lihong Yang, Xinni Lei, et al.
Biochar (2022) Vol. 4, Iss. 1
Open Access | Times Cited: 75
Accurate Prediction of Soil Heavy Metal Pollution Using an Improved Machine Learning Method: A Case Study in the Pearl River Delta, China
Wenhao Zhao, Jin Ma, Qiyuan Liu, et al.
Environmental Science & Technology (2023) Vol. 57, Iss. 46, pp. 17751-17761
Closed Access | Times Cited: 70
Prediction heavy metals accumulation risk in rice using machine learning and mapping pollution risk
Bing Zhao, Wenxuan Zhu, Shefeng Hao, et al.
Journal of Hazardous Materials (2023) Vol. 448, pp. 130879-130879
Closed Access | Times Cited: 64
Recent advances in biochar amendments for immobilization of heavy metals in an agricultural ecosystem: A systematic review
Saloni Sachdeva, Rakesh Kumar, Prafulla Kumar Sahoo, et al.
Environmental Pollution (2023) Vol. 319, pp. 120937-120937
Closed Access | Times Cited: 62
Synthesis optimization and adsorption modeling of biochar for pollutant removal via machine learning
Wentao Zhang, Ronghua Chen, Jie Li, et al.
Biochar (2023) Vol. 5, Iss. 1
Open Access | Times Cited: 49
Tree-based machine learning model for visualizing complex relationships between biochar properties and anaerobic digestion
Yi Zhang, Yijing Feng, Zhonghao Ren, et al.
Bioresource Technology (2023) Vol. 374, pp. 128746-128746
Closed Access | Times Cited: 47
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: 47
Biochar-enhanced bioremediation of eutrophic waters impacted by algal blooms
Yasser Vasseghian, Megha M. Nadagouda, Tejraj M. Aminabhavi
Journal of Environmental Management (2024) Vol. 367, pp. 122044-122044
Closed Access | Times Cited: 46
Prediction of Photochemical Properties of Dissolved Organic Matter Using Machine Learning
Zhiyang Liao, Jinrong Lu, Kunting Xie, et al.
Environmental Science & Technology (2023) Vol. 57, Iss. 46, pp. 17971-17980
Closed Access | Times Cited: 43
Conversion of organic solid waste into energy and functional materials using biochar catalyst: Bibliometric analysis, research progress, and directions
Honghong Lyu, Juin Yau Lim, Qianru Zhang, et al.
Applied Catalysis B Environment and Energy (2023) Vol. 340, pp. 123223-123223
Open Access | Times Cited: 43
Feature engineering for improved machine-learning-aided studying heavy metal adsorption on biochar
Tian Shen, Haoyi Peng, Xingzhong Yuan, et al.
Journal of Hazardous Materials (2024) Vol. 466, pp. 133442-133442
Closed Access | Times Cited: 33
Meta-analysis of impacts of microplastics on plant heavy metal(loid) accumulation
Li Chen, Nan Chang, Tianyi Qiu, et al.
Environmental Pollution (2024) Vol. 348, pp. 123787-123787
Closed Access | Times Cited: 33
Machine learning-based prediction and experimental validation of heavy metal adsorption capacity of bentonite
Lisheng Guo, Xin Xu, Cencen Niu, et al.
The Science of The Total Environment (2024) Vol. 926, pp. 171986-171986
Closed Access | Times Cited: 25
Machine-learning-aided prediction and engineering of nitrogen-containing functional groups of biochar derived from biomass pyrolysis
Lijian Leng, Xinni Lei, Naif Abdullah Al‐Dhabi, et al.
Chemical Engineering Journal (2024) Vol. 485, pp. 149862-149862
Closed Access | Times Cited: 24
Machine learning insights in predicting heavy metals interaction with biochar
Xin Wei, Yang Liu, Lin Shen, et al.
Biochar (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 21
Unveiling Microbial Nitrogen Metabolism in Rivers using a Machine Learning Approach
Yuying Jia, Xiangang Hu, Weilu Kang, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 15, pp. 6605-6615
Closed Access | Times Cited: 21
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