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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:

TMac: Temporal Multi-Modal Graph Learning for Acoustic Event Classification
Meng Liu, Ke Liang, Dayu Hu, et al.
(2023), pp. 3365-3374
Open Access | Times Cited: 15

Showing 15 citing articles:

Self-Supervised Temporal Graph Learning With Temporal and Structural Intensity Alignment
Meng Liu, Ke Liang, Yawei Zhao, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024), pp. 1-13
Open Access | Times Cited: 43
Transferable graph auto-encoders for cross-network node classification
Hanrui Wu, Lei Tian, Yanxin Wu, et al.
Pattern Recognition (2024) Vol. 150, pp. 110334-110334
Closed Access | Times Cited: 5
Dual representations: A novel variant of Self-Supervised Audio Spectrogram Transformer with multi-layer feature fusion and pooling combinations for sound classification
Hyosun Choi, Li Zhang, Chris Watkins
Neurocomputing (2025), pp. 129415-129415
Open Access
MDF-FND: A dynamic fusion model for multimodal fake news detection
Hongzhen Lv, Wenzhong Yang, Yonghao Yin, et al.
Knowledge-Based Systems (2025), pp. 113417-113417
Open Access
Simple Yet Effective: Structure Guided Pre-trained Transformer for Multi-modal Knowledge Graph Reasoning
Ke Liang, Lingyuan Meng, Yue Liu, et al.
(2024), pp. 1554-1563
Closed Access | Times Cited: 2
A survey of graph neural networks and their industrial applications
Haoran Lu, Lei Wang, Xiaoliang Ma, et al.
Neurocomputing (2024) Vol. 614, pp. 128761-128761
Closed Access | Times Cited: 1
Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment
Meng Liu, Ke Liang, Yawei Zhao, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 3
Self-Supervised Contrastive Graph Clustering Network via Structural Information Fusion
Xiaoyang Ji, Yuchen Zhou, Haofu Yang, et al.
(2024), pp. 254-259
Closed Access
Information Diffusion Prediction with Graph Neural Ordinary Differential Equation Network
Ding Wang, Wei Zhou, Songlin Hu
(2024), pp. 9699-9708
Closed Access
MMDFND: Multi-modal Multi-Domain Fake News Detection
Yu Tong, Weihai Lu, Zhe Zhao, et al.
(2024), pp. 1178-1186
Closed Access
Time-Frequency Domain Fusion Enhancement for Audio Super-Resolution
Ye Tian, Zhe Wang, Jianguo Sun, et al.
(2024), pp. 2879-2887
Closed Access
Multi-modal cross-domain self-supervised pre-training for fMRI and EEG fusion
Xinxu Wei, Kanhao Zhao, Yong Jiao, et al.
Neural Networks (2024), pp. 107066-107066
Closed Access
TACL: A Trusted Action-enhanced Curriculum Learning approach to Multimodal Affective Computing
Tan Yu, Jingjing Wang, Jiamin Luo, et al.
Neurocomputing (2024), pp. 129195-129195
Closed Access
Distributed and Joint Evidential K-Nearest Neighbor Classification
Chaoyu Gong, Jim Demmel, Yang You
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 36, Iss. 11, pp. 5972-5985
Closed Access | Times Cited: 1
Structural Embedding Pre-Training for Deep Temporal Graph Learning
Meng Liu, Wenxuan Tu, Ke Liang, et al.
2021 China Automation Congress (CAC) (2023), pp. 7615-7620
Closed Access
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