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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:

A Gentle Introduction to Graph Neural Networks
Benjamín Sánchez-Lengeling, Emily Reif, Adam Pearce, et al.
Distill (2021) Vol. 6, Iss. 8
Open Access | Times Cited: 153

Showing 1-25 of 153 citing articles:

Explainability of artificial intelligence methods, applications and challenges: A comprehensive survey
Weiping Ding, Mohamed Abdel‐Basset, Hossam Hawash, et al.
Information Sciences (2022) Vol. 615, pp. 238-292
Closed Access | Times Cited: 109
A principal odor map unifies diverse tasks in olfactory perception
Brian K. Lee, Emily J. Mayhew, Benjamín Sánchez-Lengeling, et al.
Science (2023) Vol. 381, Iss. 6661, pp. 999-1006
Open Access | Times Cited: 85
Evaluating explainability for graph neural networks
Chirag Agarwal, Owen Queen, Himabindu Lakkaraju, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 71
Exploding the myths: An introduction to artificial neural networks for prediction and forecasting
Holger R. Maier, Stefano Galelli, Saman Razavi, et al.
Environmental Modelling & Software (2023) Vol. 167, pp. 105776-105776
Open Access | Times Cited: 53
A Perspective on Explanations of Molecular Prediction Models
Geemi P. Wellawatte, Heta A. Gandhi, Aditi Seshadri, et al.
Journal of Chemical Theory and Computation (2023) Vol. 19, Iss. 8, pp. 2149-2160
Open Access | Times Cited: 48
Fast evaluation of the adsorption energy of organic molecules on metals via graph neural networks
Sergio Pablo‐García, Santiago Morandi, Rodrigo A. Vargas–Hernández, et al.
Nature Computational Science (2023) Vol. 3, Iss. 5, pp. 433-442
Open Access | Times Cited: 47
Self-Driving Laboratories for Chemistry and Materials Science
Gary Tom, Stefan P. Schmid, Sterling G. Baird, et al.
Chemical Reviews (2024) Vol. 124, Iss. 16, pp. 9633-9732
Open Access | Times Cited: 39
Machine learning heralding a new development phase in molecular dynamics simulations
Eva Prašnikar, Martin Ljubič, Andrej Perdih, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 4
Open Access | Times Cited: 24
Leveraging machine learning models for peptide–protein interaction prediction
Yin Song, Xuenan Mi, Diwakar Shukla
RSC Chemical Biology (2024) Vol. 5, Iss. 5, pp. 401-417
Open Access | Times Cited: 21
High cycle fatigue life prediction of titanium alloys based on a novel deep learning approach
Siyao Zhu, Yue Zhang, Beichen Zhu, et al.
International Journal of Fatigue (2024) Vol. 182, pp. 108206-108206
Closed Access | Times Cited: 16
Machine Learning for Chemistry: Basics and Applications
Yunfei Shi, Zhengxin Yang, Sicong Ma, et al.
Engineering (2023) Vol. 27, pp. 70-83
Open Access | Times Cited: 37
On the use of mechanics-informed models to structural engineering systems: Application of graph neural networks for structural analysis
Fabio Parisi, Sergio Ruggieri, Ruggiero Lovreglio, et al.
Structures (2023) Vol. 59, pp. 105712-105712
Open Access | Times Cited: 29
Teal: Learning-Accelerated Optimization of WAN Traffic Engineering
Zhiying Xu, Francis Y. Yan, Rachee Singh, et al.
(2023), pp. 378-393
Open Access | Times Cited: 27
Harnessing deep learning for population genetic inference
Xin Huang, Aigerim Rymbekova, Olga Dolgova, et al.
Nature Reviews Genetics (2023) Vol. 25, Iss. 1, pp. 61-78
Closed Access | Times Cited: 27
STGNNks: Identifying cell types in spatial transcriptomics data based on graph neural network, denoising auto-encoder, and k-sums clustering
Lihong Peng, Xianzhi He, Xinhuai Peng, et al.
Computers in Biology and Medicine (2023) Vol. 166, pp. 107440-107440
Closed Access | Times Cited: 27
Rapid Approximate Subset-Based Spectra Prediction for Electron Ionization–Mass Spectrometry
Richard Licheng Zhu, Eric Jonas
Analytical Chemistry (2023) Vol. 95, Iss. 5, pp. 2653-2663
Open Access | Times Cited: 23
Designing Interactive Explainable AI Tools for Algorithmic Literacy and Transparency
Maalvika Bhat, Duri Long
Designing Interactive Systems Conference (2024), pp. 939-957
Closed Access | Times Cited: 11
Machine learning meets advanced robotic manipulation
Saeid Nahavandi, Roohallah Alizadehsani, Darius Nahavandi, et al.
Information Fusion (2024) Vol. 105, pp. 102221-102221
Open Access | Times Cited: 10
Prediction of emergency department revisits among child and youth mental health outpatients using deep learning techniques
Simran Saggu, Hirad Daneshvar, Reza Samavi, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 8
Graph Neural Network–Based Spatiotemporal Structural Response Modeling in Buildings
Fangyu Liu, Yongjia Xu, Junlin Li, et al.
Journal of Computing in Civil Engineering (2025) Vol. 39, Iss. 2
Closed Access | Times Cited: 1
Retrieval-Augmented Dialogue Knowledge Aggregation for expressive conversational speech synthesis
Rui Liu, Zhenqi Jia, Feilong Bao, et al.
Information Fusion (2025), pp. 102948-102948
Closed Access | Times Cited: 1
HealthAIoT: AIoT-driven smart healthcare system for sustainable cloud computing environments
Han Wang, Kumar Ankur Anurag, Amira Rayane Benamer, et al.
Internet of Things (2025), pp. 101555-101555
Closed Access | Times Cited: 1
Modern machine learning for tackling inverse problems in chemistry: molecular design to realization
Bhuvanesh Sridharan, Manan Goel, U. Deva Priyakumar
Chemical Communications (2022) Vol. 58, Iss. 35, pp. 5316-5331
Closed Access | Times Cited: 32
Medicare Fraud Detection Using Graph Analysis: A Comparative Study of Machine Learning and Graph Neural Networks
Yeeun Yoo, Jin-Ho Shin, S.-H. Kyeong
IEEE Access (2023) Vol. 11, pp. 88278-88294
Open Access | Times Cited: 21
Advances in the Application of Artificial Intelligence-Based Spectral Data Interpretation: A Perspective
Xi Xue, Hanyu Sun, Minjian Yang, et al.
Analytical Chemistry (2023) Vol. 95, Iss. 37, pp. 13733-13745
Closed Access | Times Cited: 21
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