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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:

Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks
Chuang Liu, Xueqi Ma, Yibing Zhan, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 10, pp. 14903-14917
Open Access | Times Cited: 13

Showing 13 citing articles:

A pruned-optimized weighted graph convolutional network for axial flow pump fault diagnosis with hydrophone signals
Xin Zhang, Li Jiang, Lei Wang, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102365-102365
Closed Access | Times Cited: 18
Multiscale Channel Attention-Driven Graph Dynamic Fusion Learning Method for Robust Fault Diagnosis
Xin Zhang, Jie Liu, Xi Zhang, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 9, pp. 11002-11013
Closed Access | Times Cited: 8
Mitigating Overfitting in Graph Neural Networks via Feature and Hyperplane Perturbation
Yoonhyuk Choi, Jiho Choi, Taewook Ko, et al.
(2025), pp. 50-59
Closed Access
Gapformer: Graph Transformer with Graph Pooling for Node Classification
Chuang Liu, Yibing Zhan, Xueqi Ma, et al.
(2023), pp. 2196-2205
Open Access | Times Cited: 9
Exploring sparsity in graph transformers
Chuang Liu, Yibing Zhan, Xueqi Ma, et al.
Neural Networks (2024) Vol. 174, pp. 106265-106265
Open Access | Times Cited: 2
Data Pruning-enabled High Performance and Reliable Graph Neural Network Training on ReRAM-based Processing-in-Memory Accelerators
Chukwufumnanya Ogbogu, Biresh Kumar Joardar, Krishnendu Chakrabarty, et al.
ACM Transactions on Design Automation of Electronic Systems (2024) Vol. 29, Iss. 5, pp. 1-29
Open Access | Times Cited: 2
Pruning techniques for artificial intelligence networks: a deeper look at their engineering design and bias: the first review of its kind
Lopamudra Mohanty, Ashish Kumar, Vivek Mehta, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 2
Stellar: Energy-Efficient and Low-Latency SNN Algorithm and Hardware Co-Design with Spatiotemporal Computation
Ruixin Mao, Lin Tang, Xingyu Yuan, et al.
(2024) Vol. 34, pp. 172-185
Closed Access | Times Cited: 1
An Analog-Digital Hardware for Parzen-Based Nonparametric Probability Density Estimation
Djordje Stanković, Andjela Draganić, Nedjeljko Lekić, et al.
IEEE Access (2024) Vol. 12, pp. 116226-116237
Open Access | Times Cited: 1
Zero-shot Sharpness-Aware Quantization for Pre-trained Language Models
Miaoxi Zhu, Qihuang Zhong, Li Shen, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 11305-11327
Open Access | Times Cited: 2
Quantized Graph Neural Networks for Image Classification
X. W. Xu, Liyan Ma, Tieyong Zeng, et al.
Mathematics (2023) Vol. 11, Iss. 24, pp. 4927-4927
Open Access | Times Cited: 2
Joint Entropy Enhanced Multi-objective Bayesian Optimization for Graph Pruning
Weiwei Zhang, Meiling Xu, Lixin Tang
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2024), pp. 117-118
Closed Access
Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery Tickets
Yuwen Wang, Shunyu Liu, Kaixuan Chen, et al.
Frontiers in artificial intelligence and applications (2023)
Open Access | Times Cited: 1
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