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:

GP-GCN: Global features of orthogonal projection and local dependency fused graph convolutional networks for aspect-level sentiment classification
Subo Wei, Guangli Zhu, Zhengyan Sun, et al.
Connection Science (2022) Vol. 34, Iss. 1, pp. 1785-1806
Open Access | Times Cited: 15

Showing 15 citing articles:

Aspect-based sentiment classification with aspect-specific hypergraph attention networks
Jihong Ouyang, Chang Xuan, Bing Wang, et al.
Expert Systems with Applications (2024) Vol. 248, pp. 123412-123412
Closed Access | Times Cited: 13

A user demand acquisition method for cloud services based on user sentiment analysis and long- and short-term preferences
Huining Pei, Mingzhe Xu, Xinyu Liu, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103122-103122
Closed Access

Sentiment Analysis and Emotion Recognition in Social Media: A Comprehensive Survey
Mrunmayee Mayuresh Bachate, S. Suchitra
Applied Soft Computing (2025), pp. 112958-112958
Closed Access

Bi-graph attention network for aspect category sentiment classification
Yongxue Shan, Chao Che, Xiaopeng Wei, et al.
Knowledge-Based Systems (2022) Vol. 258, pp. 109972-109972
Closed Access | Times Cited: 16

Lightweight multilayer interactive attention network for aspect-based sentiment analysis
Wenjun Zheng, Shunxiang Zhang, Cheng Yang, et al.
Connection Science (2023) Vol. 35, Iss. 1
Open Access | Times Cited: 8

Aspect-Level sentiment analysis based on fusion graph double convolutional neural networks
Zhihao Zhang, Mingwei Tang, Xiaoliang Chen, et al.
International Journal of Parallel Emergent and Distributed Systems (2024) Vol. 39, Iss. 5, pp. 525-541
Closed Access | Times Cited: 1

Causality extraction model based on two-stage GCN
Guangli Zhu, Zhengyan Sun, Shunxiang Zhang, et al.
Soft Computing (2022) Vol. 26, Iss. 24, pp. 13815-13828
Closed Access | Times Cited: 5

Affective feature knowledge interaction for empathetic conversation generation
Ensi Chen, Huan Zhao, Bo Li, et al.
Connection Science (2022) Vol. 34, Iss. 1, pp. 2559-2576
Open Access | Times Cited: 4

Event Type and Relationship Extraction Based on Dependent Syntactic Semantic Augmented Graph Networks
Min Zuo, Zexi Song, Yueheng Liu, et al.
Research Square (Research Square) (2024)
Open Access

A review of deep learning models for the prediction of chromatin interactions with DNA and epigenomic profiles
Yunlong Wang, Siyuan Kong, Cong Zhou, et al.
Briefings in Bioinformatics (2024) Vol. 26, Iss. 1
Open Access

Word distance assisted dual graph convolutional networks for accurate and fast aspect-level sentiment analysis
Jiajia Jiao, Haijie Wang, Ruirui Shen, et al.
Mathematical Biosciences & Engineering (2024) Vol. 21, Iss. 3, pp. 3498-3518
Open Access

Anomaly Detection of Electrical Load in Power Systems Based on Graph Neural Networks
Siqi Bai
Proceedings of the 7th International Conference on Cyber Security and Information Engineering (2024), pp. 529-534
Closed Access

An enhanced text classification model by the inverted attention orthogonal projection module
Hong Zhao, Chenpeng Zhang, Aolong Wang
Connection Science (2023) Vol. 35, Iss. 1
Open Access | Times Cited: 1

O$$^2$$-Bert: Two-Stage Target-Based Sentiment Analysis
Yan Yan, Bowen Zhang, Guanwen Ding, et al.
Cognitive Computation (2023) Vol. 16, Iss. 1, pp. 158-176
Open Access

Multi-Task Aspect-Based Sentiment: A Hybrid Sampling and Stance Detection Approach
Samer Abdulateef Waheeb
Applied Sciences (2023) Vol. 14, Iss. 1, pp. 300-300
Open Access

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