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Cited by in F6Publishing
For: Feng H, Zhang L, Li S, Liu L, Yang T, Yang P, Zhao J, Arkin IT, Liu H. Predicting the reproductive toxicity of chemicals using ensemble learning methods and molecular fingerprints. Toxicol Lett 2021;340:4-14. [PMID: 33421549 DOI: 10.1016/j.toxlet.2021.01.002] [Cited by in Crossref: 4] [Cited by in F6Publishing: 1] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Ding W, Nan Y, Wu J, Han C, Xin X, Li S, Liu H, Zhang L. Combining multi-dimensional molecular fingerprints to predict the hERG cardiotoxicity of compounds. Computers in Biology and Medicine 2022;144:105390. [DOI: 10.1016/j.compbiomed.2022.105390] [Reference Citation Analysis]
2 Xing Y, Wang Z, Li X, Hou C, Chai J, Li X, Su J, Gao J, Xu H. A new method for predicting the acute toxicity of carbamate pesticides based on the perspective of binding information with carrier protein. Spectrochim Acta A Mol Biomol Spectrosc 2021;264:120188. [PMID: 34358782 DOI: 10.1016/j.saa.2021.120188] [Reference Citation Analysis]
3 Zhang J, Wang Q, Shen W. Message-passing neural network based multi-task deep-learning framework for COSMO-SAC based σ-profile and VCOSMO prediction. Chemical Engineering Science 2022;254:117624. [DOI: 10.1016/j.ces.2022.117624] [Reference Citation Analysis]
4 Wang H, Qiu X, Zeng F, Shao W, Ma Q, Li M. Detection of physical descaling damage in carp based on hyperspectral images and dimension reduction of principal component analysis combined with pixel values. J Food Sci 2022. [PMID: 35478170 DOI: 10.1111/1750-3841.16144] [Reference Citation Analysis]