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:

Machine learning for the selection of carbon-based materials for tetracycline and sulfamethoxazole adsorption
Xinzhe Zhu, Zhonghao Wan, Daniel C.W. Tsang, et al.
Chemical Engineering Journal (2020) Vol. 406, pp. 126782-126782
Closed Access | Times Cited: 193

Showing 1-25 of 193 citing articles:

Insights into the adsorption of pharmaceuticals and personal care products (PPCPs) on biochar and activated carbon with the aid of machine learning
Xinzhe Zhu, Mingjing He, Yuqing Sun, et al.
Journal of Hazardous Materials (2021) Vol. 423, pp. 127060-127060
Closed Access | Times Cited: 157
Machine learning aided supercritical water gasification for H2-rich syngas production with process optimization and catalyst screening
Jie Li, Lanjia Pan, Manu Suvarna, et al.
Chemical Engineering Journal (2021) Vol. 426, pp. 131285-131285
Open Access | Times Cited: 131
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: 110
The state of art on the prediction of efficiency and modeling of the processes of pollutants removal based on machine learning
Nawal Taoufik, Wafaa Boumya, Mounia Achak, et al.
The Science of The Total Environment (2021) Vol. 807, pp. 150554-150554
Closed Access | Times Cited: 109
Data to intelligence: The role of data-driven models in wastewater treatment
Majid Bahramian, Recep Kaan Dereli, Wanqing Zhao, et al.
Expert Systems with Applications (2022) Vol. 217, pp. 119453-119453
Open Access | Times Cited: 97
Machine-learning-based prediction and optimization of emerging contaminants' adsorption capacity on biochar materials
Zeeshan Haider Jaffari, Heewon Jeong, Jaegwan Shin, et al.
Chemical Engineering Journal (2023) Vol. 466, pp. 143073-143073
Closed Access | Times Cited: 97
Machine learning approaches to predict the photocatalytic performance of bismuth ferrite-based materials in the removal of malachite green
Zeeshan Haider Jaffari, Ather Abbas, Sze–Mun Lam, et al.
Journal of Hazardous Materials (2022) Vol. 442, pp. 130031-130031
Closed Access | Times Cited: 91
Wheat straw derived biochar with hierarchically porous structure for bisphenol A removal: Preparation, characterization, and adsorption properties
Wen Shi, Hui Wang, Jinlong Yan, et al.
Separation and Purification Technology (2022) Vol. 289, pp. 120796-120796
Closed Access | Times Cited: 90
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
Machine learning assisted predicting and engineering specific surface area and total pore volume of biochar
Hailong Li, Zejian Ai, Lihong Yang, et al.
Bioresource Technology (2022) Vol. 369, pp. 128417-128417
Closed Access | Times Cited: 75
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: 74
Advances in machine learning-aided design of reinforced polymer composite and hybrid material systems
Christian Emeka Okafor, Sunday Iweriolor, Okwuchukwu Innocent Ani, et al.
Hybrid Advances (2023) Vol. 2, pp. 100026-100026
Open Access | Times Cited: 63
Construction of a novel double S-scheme heterojunction CeO2/g-C3N4/Bi2O4 for significantly boosted degradation of tetracycline: Insight into the dual charge transfer mode
Shenggeng Zhao, Jiale Jiang, Chengfang Zhang, et al.
Chemical Engineering Journal (2023) Vol. 479, pp. 147333-147333
Closed Access | Times Cited: 58
Artificial intelligence in wastewater treatment: A data-driven analysis of status and trends
Shubo Zhang, Ying Jin, Wenkang Chen, et al.
Chemosphere (2023) Vol. 336, pp. 139163-139163
Closed Access | Times Cited: 49
Non-toxic and biodegradable κ-carrageenan/ZnO hydrogel for adsorptive removal of norfloxacin: Optimization using response surface methodology
Priya Sharma, Manish Sharma, Harshita Laddha, et al.
International Journal of Biological Macromolecules (2023) Vol. 238, pp. 124145-124145
Closed Access | Times Cited: 46
Machine-learning-aided prediction and engineering of nitrogen-containing functional groups of biochar derived from biomass pyrolysis
Lijian Leng, Xinni Lei, Naïf Abdullah Al-Dhabi, et al.
Chemical Engineering Journal (2024) Vol. 485, pp. 149862-149862
Closed Access | Times Cited: 24
A review on cleaner strategies for extraction of chitosan and its application in toxic pollutant removal
M. Abhinaya, R. Parthiban, P. Senthil Kumar, et al.
Environmental Research (2021) Vol. 196, pp. 110996-110996
Closed Access | Times Cited: 79
Machine learning exploration of the direct and indirect roles of Fe impregnation on Cr(VI) removal by engineered biochar
Xinzhe Zhu, Zibo Xu, Siming You, et al.
Chemical Engineering Journal (2021) Vol. 428, pp. 131967-131967
Open Access | Times Cited: 77
VIRS based detection in combination with machine learning for mapping soil pollution
Xiyue Jia, David O’Connor, Zhou Shi, et al.
Environmental Pollution (2020) Vol. 268, pp. 115845-115845
Open Access | Times Cited: 76
A computational workflow to study particle transport and filtration in porous media: Coupling CFD and deep learning
Agnese Marcato, Gianluca Boccardo, Daniele Marchisio
Chemical Engineering Journal (2021) Vol. 417, pp. 128936-128936
Open Access | Times Cited: 67
Activated carbons from waste Cassia bakeriana seed pods as high-performance adsorbents for toxic anionic dye and ciprofloxacin antibiotic remediation
Nidchakarn Theamwong, Wimonsiri Intarabumrung, Suwiwat Sangon, et al.
Bioresource Technology (2021) Vol. 341, pp. 125832-125832
Closed Access | Times Cited: 61
Potential application of machine learning for exploring adsorption mechanisms of pharmaceuticals onto biochars
Xuan Cuong Nguyen, Quang Viet Ly, Thi Thanh Huyen Nguyen, et al.
Chemosphere (2021) Vol. 287, pp. 132203-132203
Closed Access | Times Cited: 60
One-pot synthesis of Ca-based magnetic hydrochar derived from consecutive hydrothermal and pyrolysis processing of bamboo for high-performance scavenging of Pb(Ⅱ) and tetracycline from water
Jianhua Qu, Xiufeng Lin, Ziyang Liu, et al.
Bioresource Technology (2021) Vol. 343, pp. 126046-126046
Closed Access | Times Cited: 60
Modeling, optimization and understanding of adsorption process for pollutant removal via machine learning: Recent progress and future perspectives
Wentao Zhang, Wenguang Huang, Jie Tan, et al.
Chemosphere (2022) Vol. 311, pp. 137044-137044
Open Access | Times Cited: 58
Machine learning predicting wastewater properties of the aqueous phase derived from hydrothermal treatment of biomass
Lijian Leng, Weijin Zhang, Tonggui Liu, et al.
Bioresource Technology (2022) Vol. 358, pp. 127348-127348
Closed Access | Times Cited: 54
Page 1 - Next Page

Scroll to top