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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:

Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs
Martin Simonovsky, Nikos Komodakis
(2017), pp. 29-38
Open Access | Times Cited: 1224

Showing 1-25 of 1224 citing articles:

Dynamic Graph CNN for Learning on Point Clouds
Yue Wang, Yongbin Sun, Ziwei Liu, et al.
ACM Transactions on Graphics (2019) Vol. 38, Iss. 5, pp. 1-12
Open Access | Times Cited: 5204
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu, Shirui Pan, Fengwen Chen, et al.
IEEE Transactions on Neural Networks and Learning Systems (2020) Vol. 32, Iss. 1, pp. 4-24
Open Access | Times Cited: 3357
KPConv: Flexible and Deformable Convolution for Point Clouds
Hugues Thomas, Charles R. Qi, Jean‐Emmanuel Deschaud, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2019), pp. 6410-6419
Open Access | Times Cited: 2246
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting
Shengnan Guo, Youfang Lin, Ning Feng, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2019) Vol. 33, Iss. 01, pp. 922-929
Open Access | Times Cited: 1872
Deep Learning for 3D Point Clouds: A Survey
Yulan Guo, Hanyun Wang, Qingyong Hu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2020) Vol. 43, Iss. 12, pp. 4338-4364
Open Access | Times Cited: 1620
PointConv: Deep Convolutional Networks on 3D Point Clouds
Wenxuan Wu, Zhongang Qi, Fuxin Li
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019), pp. 9613-9622
Open Access | Times Cited: 1610
An End-to-End Deep Learning Architecture for Graph Classification
Muhan Zhang, Zhicheng Cui, Marion Neumann, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2018) Vol. 32, Iss. 1
Open Access | Times Cited: 1341
Large-Scale Point Cloud Semantic Segmentation with Superpoint Graphs
Loïc Landrieu, Martin Simonovsky
(2018), pp. 4558-4567
Open Access | Times Cited: 1285
Point Transformer
Hengshuang Zhao, Li Jiang, Jiaya Jia, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Closed Access | Times Cited: 1234
Deep Learning on Graphs: A Survey
Ziwei Zhang, Peng Cui, Wenwu Zhu
IEEE Transactions on Knowledge and Data Engineering (2020) Vol. 34, Iss. 1, pp. 249-270
Open Access | Times Cited: 1230
FoldingNet: Point Cloud Auto-Encoder via Deep Grid Deformation
Yaoqing Yang, Chen Feng, Yiru Shen, et al.
(2018), pp. 206-215
Open Access | Times Cited: 1161
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou, Ganqu Cui, Shengding Hu, et al.
arXiv (Cornell University) (2018)
Open Access | Times Cited: 1157
Graph convolutional networks: a comprehensive review
Si Zhang, Hanghang Tong, Jiejun Xu, et al.
Computational Social Networks (2019) Vol. 6, Iss. 1
Open Access | Times Cited: 1139
DeepGCNs: Can GCNs Go As Deep As CNNs?
Guohao Li, Matthias Müller, Ali Thabet, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2019)
Open Access | Times Cited: 1102
Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models
Roman Klokov, Victor Lempitsky
(2017), pp. 863-872
Open Access | Times Cited: 1036
SO-Net: Self-Organizing Network for Point Cloud Analysis
Jiaxin Li, Ben M. Chen, Gim Hee Lee
(2018), pp. 9397-9406
Open Access | Times Cited: 905
Relation-Shape Convolutional Neural Network for Point Cloud Analysis
Yongcheng Liu, Bin Fan, Shiming Xiang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019), pp. 8887-8896
Closed Access | Times Cited: 856
An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition
Chenyang Si, Wentao Chen, Wei Wang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
Open Access | Times Cited: 815
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
Yifan Xu, Tianqi Fan, Mingye Xu, et al.
Lecture notes in computer science (2018), pp. 90-105
Closed Access | Times Cited: 809
Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting
Zhiyong Cui, Kristian Henrickson, Ruimin Ke, et al.
IEEE Transactions on Intelligent Transportation Systems (2019) Vol. 21, Iss. 11, pp. 4883-4894
Open Access | Times Cited: 796
Deep Continuous Fusion for Multi-sensor 3D Object Detection
Ming Liang, Bin Yang, Shenlong Wang, et al.
Lecture notes in computer science (2018), pp. 663-678
Closed Access | Times Cited: 751
Adaptive Graph Convolutional Neural Networks
Ruoyu Li, Sheng Wang, Feiyun Zhu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2018) Vol. 32, Iss. 1
Open Access | Times Cited: 677
Graph Attention Convolution for Point Cloud Semantic Segmentation
Lei Wang, Yuchun Huang, Yaolin Hou, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019), pp. 10288-10297
Closed Access | Times Cited: 674
Deep learning for molecular design—a review of the state of the art
Daniel C. Elton, Zois Boukouvalas, Mark Fuge, et al.
Molecular Systems Design & Engineering (2019) Vol. 4, Iss. 4, pp. 828-849
Open Access | Times Cited: 593
Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer’s disease
Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, et al.
Medical Image Analysis (2018) Vol. 48, pp. 117-130
Closed Access | Times Cited: 573
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