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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:

Exploiting BERT for End-to-End Aspect-based Sentiment Analysis
Xin Li, Lidong Bing, Wenxuan Zhang, et al.
(2019)
Open Access | Times Cited: 292

Showing 1-25 of 292 citing articles:

A survey on sentiment analysis methods, applications, and challenges
Mayur Wankhade, Annavarapu Chandra Sekhara Rao, Chaitanya Kulkarni
Artificial Intelligence Review (2022) Vol. 55, Iss. 7, pp. 5731-5780
Open Access | Times Cited: 698
Recent Advances in Natural Language Processing via Large Pre-trained Language Models: A Survey
Bonan Min, Hayley Ross, Elior Sulem, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 2, pp. 1-40
Open Access | Times Cited: 539
Pre-trained models for natural language processing: A survey
Xipeng Qiu, Tianxiang Sun, Yige Xu, et al.
Science China Technological Sciences (2020) Vol. 63, Iss. 10, pp. 1872-1897
Closed Access | Times Cited: 439
A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges
Wenxuan Zhang, Xin Li, Yang Deng, et al.
IEEE Transactions on Knowledge and Data Engineering (2022) Vol. 35, Iss. 11, pp. 11019-11038
Open Access | Times Cited: 243
A benchmark study of machine learning models for online fake news detection
Junaed Younus Khan, Md. Tawkat Islam Khondaker, Sadia Afroz, et al.
Machine Learning with Applications (2021) Vol. 4, pp. 100032-100032
Open Access | Times Cited: 166
A Joint Training Dual-MRC Framework for Aspect Based Sentiment Analysis
Yue Mao, Yi Shen, Chao Yu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2021) Vol. 35, Iss. 15, pp. 13543-13551
Open Access | Times Cited: 162
Knowledge-enabled BERT for aspect-based sentiment analysis
Anping Zhao, Yu Yu
Knowledge-Based Systems (2021) Vol. 227, pp. 107220-107220
Closed Access | Times Cited: 141
Towards Generative Aspect-Based Sentiment Analysis
Wenxuan Zhang, Xin Li, Yang Deng, et al.
(2021)
Open Access | Times Cited: 135
Aspect Sentiment Quad Prediction as Paraphrase Generation
Wenxuan Zhang, Yang Deng, Xin Li, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
Open Access | Times Cited: 130
A comparative study of automated legal text classification using random forests and deep learning
Haihua Chen, Lei Wu, Jiangping Chen, et al.
Information Processing & Management (2021) Vol. 59, Iss. 2, pp. 102798-102798
Open Access | Times Cited: 122
Automated Concatenation of Embeddings for Structured Prediction
Xinyu Wang, Yong Jiang, Nguyễn Bách, et al.
(2021)
Open Access | Times Cited: 117
Back to common sense: Oxford dictionary descriptive knowledge augmentation for aspect-based sentiment analysis
Weiqiang Jin, Biao Zhao, Liwen Zhang, et al.
Information Processing & Management (2023) Vol. 60, Iss. 3, pp. 103260-103260
Closed Access | Times Cited: 53
Foundation and large language models: fundamentals, challenges, opportunities, and social impacts
Devon Myers, Rami Mohawesh, Venkata Ishwarya Chellaboina, et al.
Cluster Computing (2023) Vol. 27, Iss. 1, pp. 1-26
Closed Access | Times Cited: 47
DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks
Bosheng Ding, Linlin Liu, Lidong Bing, et al.
(2020)
Open Access | Times Cited: 122
Exploiting BERT for Multimodal Target Sentiment Classification through Input Space Translation
Zaid Khan, Yun Fu
Proceedings of the 30th ACM International Conference on Multimedia (2021), pp. 3034-3042
Open Access | Times Cited: 99
Investigating Typed Syntactic Dependencies for Targeted Sentiment Classification Using Graph Attention Neural Network
Xuefeng Bai, Pengbo Liu, Yue Zhang
IEEE/ACM Transactions on Audio Speech and Language Processing (2020) Vol. 29, pp. 503-514
Open Access | Times Cited: 91
Arabic aspect based sentiment analysis using bidirectional GRU based models
Mohammed M. Abdelgwad, Taysir Hassan A. Soliman, Ahmed I. Taloba, et al.
Journal of King Saud University - Computer and Information Sciences (2021) Vol. 34, Iss. 9, pp. 6652-6662
Open Access | Times Cited: 76
Context-Guided BERT for Targeted Aspect-Based Sentiment Analysis
Zhengxuan Wu, Desmond C. Ong
Proceedings of the AAAI Conference on Artificial Intelligence (2021) Vol. 35, Iss. 16, pp. 14094-14102
Open Access | Times Cited: 74
A dependency syntactic knowledge augmented interactive architecture for end-to-end aspect-based sentiment analysis
Yunlong Liang, Fandong Meng, Jinchao Zhang, et al.
Neurocomputing (2021) Vol. 454, pp. 291-302
Open Access | Times Cited: 70
Abusive Bangla comments detection on Facebook using transformer-based deep learning models
Tanjim Taharat Aurpa, Rifat Sadik, Md Shoaib Ahmed
Social Network Analysis and Mining (2021) Vol. 12, Iss. 1
Closed Access | Times Cited: 66
Aggregated graph convolutional networks for aspect-based sentiment classification
Meng Zhao, Jing Yang, Jianpei Zhang, et al.
Information Sciences (2022) Vol. 600, pp. 73-93
Closed Access | Times Cited: 53
Aspect sentiment analysis with heterogeneous graph neural networks
Guangquan Lu, Jiecheng Li, Jian Wei
Information Processing & Management (2022) Vol. 59, Iss. 4, pp. 102953-102953
Closed Access | Times Cited: 51
Bangla Natural Language Processing: A Comprehensive Analysis of Classical, Machine Learning, and Deep Learning-Based Methods
Ovishake Sen, Mohtasim Fuad, Md. Nazrul Islam, et al.
IEEE Access (2022) Vol. 10, pp. 38999-39044
Open Access | Times Cited: 49
Deep learning for aspect-based sentiment analysis: a review
Linan Zhu, Minhao Xu, Yinwei Bao, et al.
PeerJ Computer Science (2022) Vol. 8, pp. e1044-e1044
Open Access | Times Cited: 43
Aspect based sentiment analysis using deep learning approaches: A survey
Ganpat Singh Chauhan, Ravi Nahta, Yogesh Kumar Meena, et al.
Computer Science Review (2023) Vol. 49, pp. 100576-100576
Closed Access | Times Cited: 31
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