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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 models with multiple machine learning algorithms for POPs: The calculation of PDMS-air partition coefficient from molecular descriptor
Tengyi Zhu, Cuicui Tao
Journal of Hazardous Materials (2021) Vol. 423, pp. 127037-127037
Closed Access | Times Cited: 19

Showing 19 citing articles:

Prediction of organic contaminant rejection by nanofiltration and reverse osmosis membranes using interpretable machine learning models
Tengyi Zhu, Yu Zhang, Cuicui Tao, et al.
The Science of The Total Environment (2022) Vol. 857, pp. 159348-159348
Closed Access | Times Cited: 44
Prediction models for bioavailability of Cu and Zn during composting: Insights into machine learning
Bing Bai, Lixia Wang, Fachun Guan, et al.
Journal of Hazardous Materials (2024) Vol. 471, pp. 134392-134392
Closed Access | Times Cited: 9
Screening of the Antagonistic Activity of Potential Bisphenol A Alternatives toward the Androgen Receptor Using Machine Learning and Molecular Dynamics Simulation
Zeguo Yang, Ling Wang, Ying Yang, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 6, pp. 2817-2829
Closed Access | Times Cited: 5
Classification and regression machine learning models for predicting mixed toxicity of carbamazepine and its transformation products
Xiaohan Huang, Haoran Wang, Zujian Wu, et al.
Environmental Research (2025), pp. 121089-121089
Closed Access
Versatile in silico modelling of microplastics adsorption capacity in aqueous environment based on molecular descriptor and machine learning
Tengyi Zhu, Cuicui Tao, Haomiao Cheng, et al.
The Science of The Total Environment (2022) Vol. 846, pp. 157455-157455
Closed Access | Times Cited: 23
Spatial distribution of lead concentration in peri-urban soil: Threshold and interaction effects of environmental variables
Zihao Wu, Yiyun Chen, Zhen Yang, et al.
Geoderma (2022) Vol. 429, pp. 116193-116193
Open Access | Times Cited: 23
Development of Abraham model correlations for predicting the solubility of crystalline organic compounds and inorganic gases in ethyl formate
Chelsi Wilson, Allison Kabin, C. T. Prewitt, et al.
Physics and Chemistry of Liquids (2024), pp. 1-11
Closed Access | Times Cited: 3
Accurate Prediction of Rat Acute Oral Toxicity and Reference Dose for Thousands of Polycyclic Aromatic Hydrocarbon Derivatives Based on Chemometric QSAR and Machine Learning
Shuang Wu, Shixin Li, Jing Qiu, et al.
Environmental Science & Technology (2024)
Closed Access | Times Cited: 2
A chemical derivatization-based pseudotargeted LC-MS/MS method for high coverage determination of dipeptides
Shaoran Tang, Pei Zhang, Meiyu Gao, et al.
Analytica Chimica Acta (2023) Vol. 1274, pp. 341570-341570
Closed Access | Times Cited: 7
Multiple machine learning algorithms assisted QSPR models for aqueous solubility: Comprehensive assessment with CRITIC-TOPSIS
Tengyi Zhu, Ying Chen, Cuicui Tao
The Science of The Total Environment (2022) Vol. 857, pp. 159448-159448
Closed Access | Times Cited: 10
Mapping Soil Organic Carbon in Floodplain Farmland: Implications of Effective Range of Environmental Variables
Zihao Wu, Yiyun Chen, Yuanli Zhu, et al.
Land (2023) Vol. 12, Iss. 6, pp. 1198-1198
Open Access | Times Cited: 5
An Intelligent Data Analysis System Combining ARIMA and LSTM for Persistent Organic Pollutants Concentration Prediction
Yu Lu, Chunxue Wu, Naixue Xiong
Electronics (2022) Vol. 11, Iss. 4, pp. 652-652
Open Access | Times Cited: 6
Abraham Solvation Parameter Model: Revised Predictive Expressions for Solute Transfer into Polydimethylsiloxane Based on Much Larger and Chemically Diverse Datasets
Amy Zhou, Laine Longacre, Ramya Motati, et al.
Compounds (2023) Vol. 3, Iss. 1, pp. 205-223
Open Access | Times Cited: 3
New QSPR models for predicting critical temperature of binary organic mixtures using linear and nonlinear methods
Yachao Pan, Fubin Yang, Hongguang Zhang, et al.
Fluid Phase Equilibria (2023) Vol. 575, pp. 113916-113916
Closed Access | Times Cited: 3
Contribution of molecular structures and quantum chemistry technique to root concentration factor: An innovative application of interpretable machine learning
Tengyi Zhu, Yu Zhang, Yi Li, et al.
Journal of Hazardous Materials (2023) Vol. 459, pp. 132320-132320
Closed Access | Times Cited: 2
Least Absolute Shrinkage and Selection Operator-Based Prediction of the Binding Constant of p-Sulfonatocalix[6]/[8]arenes with Alkaloids
Yu Yin, Zhen Yang, Na Li, et al.
Journal of Chemical Information and Modeling (2024)
Closed Access
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
A comprehensive evaluation of liposome/water partition coefficient prediction models based on the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method: Challenges from different descriptor dimension reduction methods and machine learning algorithms
Tengyi Zhu, Yan Yu, Tianyun Tao
Journal of Hazardous Materials (2022) Vol. 443, pp. 130181-130181
Closed Access | Times Cited: 3
Application of Machine Learning Methods to Predict the Air Half-Lives of Persistent Organic Pollutants
Ying Zhang, Liangxu Xie, Dawei Zhang, et al.
Molecules (2023) Vol. 28, Iss. 22, pp. 7457-7457
Open Access | Times Cited: 1
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