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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:

Text FCG: Fusing Contextual Information via Graph Learning for text classification
Yizhao Wang, Chenxi Wang, Jieyu Zhan, et al.
Expert Systems with Applications (2023) Vol. 219, pp. 119658-119658
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Hierarchical graph-based text classification framework with contextual node embedding and BERT-based dynamic fusion
Aytuğ Onan
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 7, pp. 101610-101610
Open Access | Times Cited: 55
Evaluating text classification: A benchmark study
Manon Reusens, Alexander Stevens, Jonathan Tonglet, et al.
Expert Systems with Applications (2024) Vol. 254, pp. 124302-124302
Open Access | Times Cited: 7
Capturing word positions does help: A multi-element hypergraph gated attention network for document classification
Yilun Jin, Wei Yin, Haosen Wang, et al.
Expert Systems with Applications (2024) Vol. 251, pp. 124002-124002
Closed Access | Times Cited: 4
SE-GCL: an event-based simple and effective graph contrastive learning for text representation
Tao Meng, Wei Ai, Jian‐Bin Li, et al.
Neural Computing and Applications (2025)
Open Access
MMPD-DTA: Integrating Multi-Modal Deep Learning with Pocket-Drug Graphs for Drug-Target Binding Affinity Prediction
Guishen Wang, H. Zhang, Mengting Shao, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
Healing with hierarchy: Hierarchical attention empowered graph neural networks for predictive analysis in medical data
Shivani Gupta, Saurabh Sharma, Rajesh Kumar Sharma, et al.
Artificial Intelligence in Medicine (2025) Vol. 165, pp. 103134-103134
Closed Access
Coupling Fault Diagnosis Based on Dynamic Vertex Interpretable Graph Neural Network
Shenglong Wang, Bo Jing, Jinxin Pan, et al.
(2024)
Open Access | Times Cited: 3
ZDDR: A Zero-Shot Defender for Adversarial Samples Detection and Restoration
Musheng Chen, Guowei He, Junhua Wu
IEEE Access (2024) Vol. 12, pp. 39081-39094
Open Access | Times Cited: 2
Chinese text classification by combining Chinese-BERTology-wwm and GCN
Xue Xu, Yu Chang, AN Jian-ye, et al.
PeerJ Computer Science (2023) Vol. 9, pp. e1544-e1544
Open Access | Times Cited: 6
Text Classification Model Based on Graph Attention Networks and Adversarial Training
Jing Li, Yumei Jian, Yujie Xiong
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4906-4906
Open Access | Times Cited: 1
Dialectic Feature-Based Fuzzy Graph Learning for Label Propagation Assisting Text Classification
Cherukula Madhu, M. Sudhakar
IEEE Transactions on Fuzzy Systems (2024) Vol. 32, Iss. 10, pp. 5598-5612
Open Access | Times Cited: 1
Contrastive multi-graph learning with neighbor hierarchical sifting for semi-supervised text classification
Wei Ai, Jian‐Bin Li, Ze Wang, et al.
Expert Systems with Applications (2024) Vol. 266, pp. 125952-125952
Open Access | Times Cited: 1
Multi-Dimensional Training Data Construction Strategies for Text Classification by Exploiting Large Language Models
Jian Lyu, Jingfeng Xue, Weijie Han, et al.
(2024)
Closed Access
Coupling Fault Diagnosis Based on Dynamic Vertex Interpretable Graph Neural Network
Shenglong Wang, Bo Jing, Jinxin Pan, et al.
Sensors (2024) Vol. 24, Iss. 13, pp. 4356-4356
Open Access
Improving text classification via computing category correlation matrix from text graph
Zhen Zhang, Mengqiu Liu, Xiyuan Jia, et al.
Computer Speech & Language (2024) Vol. 89, pp. 101688-101688
Closed Access
Early identification of high attention content for online mental health community users based on multi-level fusion model
Song Wang, Ying Luo, Xinmin Liu
Data Technologies and Applications (2024) Vol. 58, Iss. 5, pp. 838-857
Closed Access
Research paper classification model based on deep learning network and text fine-grained features
Li Gao, Hongjun Li, Qingkui Chen, et al.
Research Square (Research Square) (2024)
Closed Access
SIGAN: Self-inhibited Graph Attention Network for Text Classification
Jiaqi Fang, Kun Ma
Lecture notes in networks and systems (2024), pp. 127-136
Closed Access
Enhanced Text Classification with Label-Aware Graph Convolutional Networks
Ming-Yen Lin, H. Liu, Sue-Chen Hsush
Electronics (2024) Vol. 13, Iss. 15, pp. 2944-2944
Open Access
The Security Detection of Internet Behavior Based on DEDF-Network
Jianwei Guo, Aibing Dai, Yiou Wang, et al.
(2024), pp. 41-46
Closed Access
Enhancing Review Classification Via Llm-Based Data Annotation and Multi-Perspective Feature Representation Learning
Jiangping Huang, B Yi, Weisong Sun, et al.
(2024)
Closed Access
Spoken language understanding via graph contrastive learning on the context-aware graph convolutional network
Ze Cao, Jian‐wei Liu
Pattern Analysis and Applications (2024) Vol. 27, Iss. 4
Closed Access
Connecting the Dots: What Graph-Based Text Representations Work Best for Text Classification using Graph Neural Networks?
Margarita Bugueño, Gerard de Melo
(2023), pp. 8943-8960
Open Access | Times Cited: 1
Connecting the Dots: What Graph-Based Text Representations Work Best for Text Classification Using Graph Neural Networks?
Margarita Bugueño, Gerard de Melo
arXiv (Cornell University) (2023)
Open Access
A review and analysis for the text-based classification
Prince Kumar, Animesh Kumar Dubey
International Journal of Advanced Computer Research (2023) Vol. 13, Iss. 63
Open Access
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