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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:

Graph attention convolutional neural network model for chemical poisoning of honey bees’ prediction
Fan Wang, Jing‐Fang Yang, Mengyao Wang, et al.
Science Bulletin (2020) Vol. 65, Iss. 14, pp. 1184-1191
Closed Access | Times Cited: 111

Showing 1-25 of 111 citing articles:

Graph neural networks for materials science and chemistry
Patrick Reiser, Marlen Neubert, André Eberhard, et al.
Communications Materials (2022) Vol. 3, Iss. 1
Open Access | Times Cited: 350
InteractionGraphNet: A Novel and Efficient Deep Graph Representation Learning Framework for Accurate Protein–Ligand Interaction Predictions
Dejun Jiang, Chang‐Yu Hsieh, Zhenhua Wu, et al.
Journal of Medicinal Chemistry (2021) Vol. 64, Iss. 24, pp. 18209-18232
Closed Access | Times Cited: 169
A multi-factor driven spatiotemporal wind power prediction model based on ensemble deep graph attention reinforcement learning networks
Chengqing Yu, Guangxi Yan, Chengming Yu, et al.
Energy (2022) Vol. 263, pp. 126034-126034
Closed Access | Times Cited: 90
An improved GNN using dynamic graph embedding mechanism: A novel end-to-end framework for rolling bearing fault diagnosis under variable working conditions
Zidong Yu, Changhe Zhang, Chao Deng
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110534-110534
Closed Access | Times Cited: 56
Deep learning predicts boiling heat transfer
Youngjoon Suh, Ramin Bostanabad, Yoonjin Won
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 66
RELATION: A Deep Generative Model for Structure-Based De Novo Drug Design
Mingyang Wang, Chang‐Yu Hsieh, Jike Wang, et al.
Journal of Medicinal Chemistry (2022) Vol. 65, Iss. 13, pp. 9478-9492
Closed Access | Times Cited: 62
A new ensemble deep graph reinforcement learning network for spatio-temporal traffic volume forecasting in a freeway network
Pan Shang, Xinwei Liu, Chengqing Yu, et al.
Digital Signal Processing (2022) Vol. 123, pp. 103419-103419
Closed Access | Times Cited: 44
Review of machine learning and deep learning models for toxicity prediction
Wenjing Guo, Jie Liu, Fan Dong, et al.
Experimental Biology and Medicine (2023)
Open Access | Times Cited: 30
Discovery of Pyrazine-Carboxamide-Diphenyl-Ethers as Novel Succinate Dehydrogenase Inhibitors via Fragment Recombination
Hua Li, Mengqi Gao, Yan Chen, et al.
Journal of Agricultural and Food Chemistry (2020) Vol. 68, Iss. 47, pp. 14001-14008
Closed Access | Times Cited: 61
Cloud 3D-QSAR: a web tool for the development of quantitative structure–activity relationship models in drug discovery
Yuliang Wang, Fan Wang, Xing-Xing Shi, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 4
Closed Access | Times Cited: 59
Chemical toxicity prediction based on semi-supervised learning and graph convolutional neural network
Jiarui Chen, Yain‐Whar Si, Chon-Wai Un, et al.
Journal of Cheminformatics (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 49
Hyperbolic relational graph convolution networks plus: a simple but highly efficient QSAR-modeling method
Zhenhua Wu, Dejun Jiang, Chang‐Yu Hsieh, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 5
Closed Access | Times Cited: 45
Pesticide Informatics Platform (PIP): An International Platform for Pesticide Discovery, Residue, and Risk Evaluation
Long‐Can Mei, Huimin Chen, An-Yu Dong, et al.
Journal of Agricultural and Food Chemistry (2022) Vol. 70, Iss. 22, pp. 6617-6623
Closed Access | Times Cited: 38
PDDD-PreTrain: A Series of Commonly Used Pre-Trained Models Support Image-Based Plant Disease Diagnosis
Xinyu Dong, Qi Wang, Qianding Huang, et al.
Plant Phenomics (2023) Vol. 5
Open Access | Times Cited: 20
Structure-Guided Discovery of Silicon-Containing Subnanomolar Inhibitor of Hydroxyphenylpyruvate Dioxygenase as a Potential Herbicide
Ren‐Yu Qu, Jia-Xu Nan, Yao-Chao Yan, et al.
Journal of Agricultural and Food Chemistry (2021) Vol. 69, Iss. 1, pp. 459-473
Closed Access | Times Cited: 40
Insights into the degradation and toxicity difference mechanism of neonicotinoid pesticides in honeybees by mass spectrometry imaging
Yue Zhang, Dong Chen, Mingyi Du, et al.
The Science of The Total Environment (2021) Vol. 774, pp. 145170-145170
Closed Access | Times Cited: 39
BeeToxAI: An artificial intelligence-based web app to assess acute toxicity of chemicals to honey bees
José Teófilo Moreira-Filho, Rodolpho C. Braga, Jade Milhomem Lemos, et al.
Artificial Intelligence in the Life Sciences (2021) Vol. 1, pp. 100013-100013
Open Access | Times Cited: 37
Toxicological assessment of agrochemicals on bees using machine learning tools
Rodrigo Cupertino Bernardes, Lorena Lisbetd Botina, Fernanda Pereira da Silva, et al.
Journal of Hazardous Materials (2021) Vol. 424, pp. 127344-127344
Closed Access | Times Cited: 34
cropCSM: designing safe and potent herbicides with graph-based signatures
Douglas E. V. Pires, Keith A. Stubbs, Joshua S. Mylne, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 2
Open Access | Times Cited: 26
Design, synthesis, and biological activity of novel spiro‐pyrazolo[1,5‐a]quinazolines derivatives as potential insecticides
Guangkai Yao, Mengfan Wang, Benjie Li, et al.
Pest Management Science (2022) Vol. 79, Iss. 3, pp. 1164-1174
Closed Access | Times Cited: 24
Anthranilic Diamides Containing Monofluoroalkene Amide Linkers as Potential Insect RyR Activators: Design, Synthesis, Bio-evaluation, and Computational Study
Guantian Yang, Cong Zhou, Yutong Wang, et al.
Journal of Agricultural and Food Chemistry (2023) Vol. 71, Iss. 6, pp. 2827-2841
Closed Access | Times Cited: 14
ToxMPNN: A deep learning model for small molecule toxicity prediction
Yini Zhou, Chao Ning, Yijun Tan, et al.
Journal of Applied Toxicology (2024) Vol. 44, Iss. 7, pp. 953-964
Closed Access | Times Cited: 6
Genetic Algorithm-Based Receptor Ligand: A Genetic Algorithm-Guided Generative Model to Boost the Novelty and Drug-Likeness of Molecules in a Sampling Chemical Space
Mingyang Wang, Zhengjian Wu, Jike Wang, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 4, pp. 1213-1228
Closed Access | Times Cited: 5
AquaticTox: A Web-Based Tool for Aquatic Toxicity Evaluation Based on Ensemble Learning to Facilitate the Screening of Green Chemicals
Xing-Xing Shi, Zhi-Zheng Wang, Yuliang Wang, et al.
Environment & Health (2024) Vol. 2, Iss. 4, pp. 202-211
Open Access | Times Cited: 5
A Potential Multitarget Insect Growth Regulator Candidate: Design, Synthesis, and Biological Activity of Novel Acetamido Derivatives Containing Hexacyclic Pyrazole Carboxamides
Bingbo Guo, Lei Chen, Shihui Luo, et al.
Journal of Agricultural and Food Chemistry (2024) Vol. 72, Iss. 18, pp. 10271-10281
Closed Access | Times Cited: 5
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