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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:

“pySiRC”: Machine Learning Combined with Molecular Fingerprints to Predict the Reaction Rate Constant of the Radical-Based Oxidation Processes of Aqueous Organic Contaminants
Flávio O. Sanches-Neto, Jefferson R. Dias-Silva, Luiz Henrique Keng Queiroz Júnior, et al.
Environmental Science & Technology (2021) Vol. 55, Iss. 18, pp. 12437-12448
Closed Access | Times Cited: 74

Showing 26-50 of 74 citing articles:

Unveiling similarities and differences in oxidation processes of oxidants and derived reactive oxygen species through machine learning interpretation of oxidation rate constants
Zuhong Lin, Siyuan Pan, Haipu Li, et al.
Separation and Purification Technology (2024), pp. 126649-126649
Closed Access | Times Cited: 4
Predicting Rate Constants of Alkane Cracking Reactions Using Machine Learning
Yu Zhang, Min Xia, Hongwei Song, et al.
The Journal of Physical Chemistry A (2024) Vol. 128, Iss. 12, pp. 2383-2392
Closed Access | Times Cited: 4
Beyond the reaction kinetics: Interpretable machine learning reveals unique pathways of sulfate and carbonate radicals
Yuanxi Huang, Lingjun Bu, Jian Ao, et al.
Journal of Hazardous Materials (2025) Vol. 491, pp. 137899-137899
Closed Access
Molecular Descriptor for Catalytic Direct Oxidative Transfer Process Based on Thermodynamic State Changes during Reactions
Zhaohua Wang, Gui‐Xiang Huang, Yingjie Zhang, et al.
Environmental Science & Technology (2025)
Closed Access
Evaluating Degradation Efficiency of Pesticides by Persulfate, Fenton, and Ozonation Oxidation Processes with Machine Learning
Jingrui Wang, Xiaoliu Huangfu, Ruixing Huang, et al.
Environmental Research (2025), pp. 121548-121548
Closed Access
Predicting Rate Constants of Reactive Chlorine Species toward Organic Compounds by Combining Machine Learning and Quantum Chemical Calculation
Shanshan Zheng, Wenlei Qin, He Ji, et al.
Environmental Science & Technology Letters (2023) Vol. 10, Iss. 9, pp. 804-809
Closed Access | Times Cited: 10
Transfer Learning Approach to Multitarget Temperature-Dependent Reaction Rate Prediction
Emad Al Ibrahim, Aamir Farooq
The Journal of Physical Chemistry A (2022) Vol. 126, Iss. 28, pp. 4617-4629
Open Access | Times Cited: 14
A new perspective on predicting the reaction rate constants of hydrated electrons for organic contaminants: Exploring molecular structure characterization methods and ambient conditions
Tengyi Zhu, Shuyin Li, Lili Li, et al.
The Science of The Total Environment (2023) Vol. 904, pp. 166316-166316
Closed Access | Times Cited: 8
SpectraFP: a new spectra-based descriptor to aid in cheminformatics, molecular characterization and search algorithm applications
Jefferson R. Dias-Silva, Vitor Mendes de Oliveira, Flávio O. Sanches-Neto, et al.
Physical Chemistry Chemical Physics (2023) Vol. 25, Iss. 27, pp. 18038-18047
Closed Access | Times Cited: 7
Solar photo-Fenton and persulphate-based processes for landfill leachate treatment: A critical review
E. Clemente, Eva Domingues, Rosa M. Quinta‐Ferreira, et al.
The Science of The Total Environment (2023) Vol. 912, pp. 169471-169471
Open Access | Times Cited: 7
Prediction of PFAS bioaccumulation in different plant tissues with machine learning models based on molecular fingerprints
Chenzhuo Song, Qian Gu, Dengke Zhang, et al.
The Science of The Total Environment (2024) Vol. 950, pp. 175091-175091
Closed Access | Times Cited: 2
Sonophotocatalytic degradation of 17β-estradiol by Er3+-CdS/MoS2: The role and transformation of reactive oxygen species
Banghao Du, Gongduan Fan, Shangwu Yang, et al.
Journal of Cleaner Production (2021) Vol. 333, pp. 130203-130203
Closed Access | Times Cited: 17
“pySewage”: a hybrid approach to predict the number of SARS-CoV-2-infected people from wastewater in Brazil
Adriano Roberto Vieira de Sousa, Lívia do Carmo Silva, Juliana Santana de Curcio, et al.
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 44, pp. 67260-67269
Open Access | Times Cited: 11
Assessment of organic micropollutants rejection by forward osmosis system using interpretable machine learning-assisted approach: A new perspective on optimization of multifactorial forward osmosis process
Tengyi Zhu, Yu Zhang, Yi Li, et al.
Journal of environmental chemical engineering (2023) Vol. 11, Iss. 5, pp. 110847-110847
Closed Access | Times Cited: 6
Developing a hybrid model for predicting the reaction kinetics between chlorine and micropollutants in water
Jing Zhao, Chii Shang, Ran Yin
Water Research (2023) Vol. 247, pp. 120794-120794
Closed Access | Times Cited: 6
Precisely Identifying the Sources of Magnetic Particles by Hierarchical Classification-Aided Isotopic Fingerprinting
Hang Yang, Xuezhi Yang, Qinghua Zhang, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 22, pp. 9770-9781
Closed Access | Times Cited: 2
(E)-2-Benzylidenecyclanones: Part XVIII Study the Possible Link between Glutathione Reactivity and Cancer Cell Cytotoxic Effects of Some Cyclic Chalcone Analogs A Comparison of the Reactivity of the Open-Chain and the Seven-Membered Homologs
Fatemeh Kenari, Szilárd Molnár, Igor D. Borges, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 10, pp. 8557-8557
Open Access | Times Cited: 5
Structure-Based Reaction Descriptors for Predicting Rate Constants by Machine Learning: Application to Hydrogen Abstraction from Alkanes by CH3/H/O Radicals
Yu Zhang, Jinhui Yu, Hongwei Song, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 16, pp. 5097-5106
Closed Access | Times Cited: 5
Machine learning approaches to predict the apparent rate constants for aqueous organic compounds by ferrate
Shanshan Zheng, Wanqian Guo, Hao Lü, et al.
Journal of Environmental Management (2022) Vol. 329, pp. 116904-116904
Closed Access | Times Cited: 8
Optimizing Photodegradation Rate Prediction of Organic Contaminants: Models with Fine-Tuned Hyperparameters and SHAP Feature Analysis for Informed Decision Making
Rodrigo Teixeira Schossler, Samuel Ojo, Xiong Yu
ACS ES&T Water (2023) Vol. 4, Iss. 3, pp. 1131-1145
Closed Access | Times Cited: 4
Holo-Mol: An explainable hybrid deep learning framework for predicting reactivity of hydroxyl radical to water contaminants based on holographic fused molecular representations
Dianhui Mao, J Q Liu, Xuebo Li, et al.
Chemical Engineering Journal (2024) Vol. 482, pp. 148652-148652
Closed Access | Times Cited: 1
Development of Machine Learning Models for Ion-Selective Electrode Cation Sensor Design
Yuankai Huang, Shifa Zhong, Lan Gan, et al.
ACS ES&T Engineering (2024) Vol. 4, Iss. 7, pp. 1702-1711
Open Access | Times Cited: 1
Ecotoxicological assessment of UV filters benzophenone-3 and TiO 2 nanoparticles, isolated and in a mixture, in developing zebrafish ( Danio rerio )
Jéssyca Moreira Morais, Rafaella da Silva Brito, Patrícia Thieme Onofri Saiki, et al.
Journal of Toxicology and Environmental Health (2024) Vol. 87, Iss. 17, pp. 687-700
Closed Access | Times Cited: 1
Linear Graphlet Models for Accurate and Interpretable Cheminformatics
Michael Tynes, Michael G. Taylor, Jan Janßen, et al.
Digital Discovery (2024)
Open Access | Times Cited: 1
Graph Neural Network Integrating Self-Supervised Pretraining for Precise and Interpretable Prediction of Micropollutant Treatability by HO•-Based Advanced Oxidation Processes
Jingyi Zhu, Yuanxi Huang, Lingjun Bu, et al.
ACS ES&T Engineering (2024)
Closed Access | Times Cited: 1

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