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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:

Evaluating and elucidating the reactivity of OH radicals with atmospheric organic pollutants: Reaction kinetics and mechanisms by machine learning
Flávio O. Sanches-Neto, Jefferson R. Dias-Silva, Vitor Mendes de Oliveira, et al.
Atmospheric Environment (2022) Vol. 275, pp. 119019-119019
Closed Access | Times Cited: 20

Showing 20 citing articles:

A machine learning method to predict rate constants for various reactions in combustion kinetic models
Ning Li, Sanket Girhe, Mingzhi Zhang, et al.
Combustion and Flame (2024) Vol. 263, pp. 113375-113375
Closed Access | Times Cited: 9
Heterogeneous catalysis mediated by light, electricity and enzyme via machine learning: Paradigms, applications and prospects
Wentao Zhang, Wenguang Huang, Jie Tan, et al.
Chemosphere (2022) Vol. 308, pp. 136447-136447
Closed Access | Times Cited: 19
Theoretical insights into the oxidation of quinmerac herbicide initiated by HO• radical in aqueous media: Mechanism, kinetics, and ecotoxicity
Thị Chinh Ngo, Sonia Taamalli, Zainab Srour, et al.
Journal of environmental chemical engineering (2023) Vol. 11, Iss. 3, pp. 109941-109941
Open Access | Times Cited: 11
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
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
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
Combined DFT and Machine Learning Study of the Dissociation and Migration of H in Pyrrole Derivatives
Xin Wang, Tao Zhang, Hai Zhang, et al.
The Journal of Physical Chemistry A (2023) Vol. 127, Iss. 35, pp. 7383-7399
Closed Access | Times Cited: 4
Opinion: Challenges and needs of tropospheric chemical mechanism development
Barbara Ervens, Andrew R. Rickard, Bernard Aumont, et al.
(2024)
Open Access | Times Cited: 1
Opinion: Challenges and needs of tropospheric chemical mechanism development
Barbara Ervens, Andrew R. Rickard, Bernard Aumont, et al.
Atmospheric chemistry and physics (2024) Vol. 24, Iss. 23, pp. 13317-13339
Open Access | Times Cited: 1
New insight into environmental oxidation of phosmet insecticide initiated by HO˙ radicals in gas and water – a theoretical study
Hisham K. Al Rawas, Reem Al Mawla, Thi Yen Nhi Pham, et al.
Environmental Science Processes & Impacts (2023) Vol. 25, Iss. 12, pp. 2042-2056
Closed Access | Times Cited: 3
Prediction of free radical reactions toward organic pollutants with easily accessible molecular descriptors
Guoyang Zhang, Qiang Zhu, Hongcen Zheng, et al.
Chemosphere (2023) Vol. 346, pp. 140660-140660
Closed Access | Times Cited: 3
Tailoring the mechanistic pathways and kinetics of OH-addition reaction of sulfoxaflor and its ecotoxicity assessment
Gunasekaran Manonmani, L. Sandhiya, K. Senthilkumar
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 17, pp. 50209-50224
Closed Access | Times Cited: 2
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.
(2023)
Open Access | Times Cited: 2
Machine learning strategy on activation energy of environmental heterogeneous reactions and its application to atmospheric formation of typical montmorillonite-bound phenoxy radicals
Wenxiao Pan, Jiamin Chang, Shuming He, et al.
The Science of The Total Environment (2023) Vol. 895, pp. 165117-165117
Closed Access | Times Cited: 2
Machine-Learning-Based Prediction of Plant Cuticle–Air Partition Coefficients for Organic Pollutants: Revealing Mechanisms from a Molecular Structure Perspective
Tianyun Tao, Cuicui Tao, Tengyi Zhu
Molecules (2024) Vol. 29, Iss. 6, pp. 1381-1381
Open Access
Comment on egusphere-2024-1316
John Wenger
(2024)
Open Access
Comment on egusphere-2024-1316

(2024)
Open Access
Predicting reaction rate constants of organic compounds with oxidants in the atmospheric aqueous-phase through multi-task learning
Linghao Gu, Zhongming Chen
Atmospheric Environment (2024) Vol. 337, pp. 120775-120775
Closed Access
Comment on egusphere-2024-1316

(2024)
Open Access
QSAR models on degradation rate constants of atmospheric pollutants
Chao Li, Hong‐Bin Xie, Jingwen Chen
Elsevier eBooks (2023), pp. 459-471
Closed Access
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