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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:

Deep Learning for Aspect-Based Sentiment Analysis: A Comparative Review
Hai Duong Ha, PWC Prasad, Angelika Maag, et al.
Expert Systems with Applications (2018) Vol. 118, pp. 272-299
Closed Access | Times Cited: 514

Showing 1-25 of 514 citing articles:

Sentiment analysis using deep learning architectures: a review
Ashima Yadav, Dinesh Kumar Vishwakarma
Artificial Intelligence Review (2019) Vol. 53, Iss. 6, pp. 4335-4385
Closed Access | Times Cited: 649
A comprehensive survey on sentiment analysis: Approaches, challenges and trends
Marouane Birjali, Mohammed Kasri, Abderrahim Beni‐Hssane
Knowledge-Based Systems (2021) Vol. 226, pp. 107134-107134
Closed Access | Times Cited: 633
Sentiment Analysis Based on Deep Learning: A Comparative Study
Cach N. Dang, Marı́a N. Moreno Garcı́a, Fernando De la Prieta
Electronics (2020) Vol. 9, Iss. 3, pp. 483-483
Open Access | Times Cited: 522
A systematic review on affective computing: emotion models, databases, and recent advances
Yan Wang, Wei Song, Wei Tao, et al.
Information Fusion (2022) Vol. 83-84, pp. 19-52
Open Access | Times Cited: 290
A systematic literature review on machine learning applications for consumer sentiment analysis using online reviews
Praphula Kumar Jain, Rajendra Pamula, Gautam Srivastava
Computer Science Review (2021) Vol. 41, pp. 100413-100413
Open Access | Times Cited: 247
Systematic reviews in sentiment analysis: a tertiary study
Alexander Ligthart, Cagatay Catal, Bedir Teki̇nerdoğan
Artificial Intelligence Review (2021) Vol. 54, Iss. 7, pp. 4997-5053
Open Access | Times Cited: 223
Toward multi-label sentiment analysis: a transfer learning based approach
Jie Tao, Xing Fang
Journal Of Big Data (2020) Vol. 7, Iss. 1
Open Access | Times Cited: 192
A Proposed Sentiment Analysis Deep Learning Algorithm for Analyzing COVID-19 Tweets
Harleen Kaur, Shafqat Ul Ahsaan, Bhavya Alankar, et al.
Information Systems Frontiers (2021) Vol. 23, Iss. 6, pp. 1417-1429
Open Access | Times Cited: 178
Natural Language Processing Advancements By Deep Learning: A Survey
Amirsina Torfi, Rouzbeh A. Shirvani, Yaser Keneshloo, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 169
Medical deep learning—A systematic meta-review
Jan Egger, Christina Gsaxner, Antonio Pepe, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 221, pp. 106874-106874
Open Access | Times Cited: 169
DNNRec: A novel deep learning based hybrid recommender system
Kiran Rama, Pradeep Kumar, Bharat Bhasker
Expert Systems with Applications (2019) Vol. 144, pp. 113054-113054
Closed Access | Times Cited: 166
Sentiment Analysis for Fake News Detection
Miguel Á. Alonso, David Vilares, Carlos Gómez‐Rodríguez, et al.
Electronics (2021) Vol. 10, Iss. 11, pp. 1348-1348
Open Access | Times Cited: 157
Improving the Performance of Sentiment Analysis of Tweets Containing Fuzzy Sentiment Using the Feature Ensemble Model
Huyen Trang Phan, Cuong Tran, Ngoc Thanh Nguyên, et al.
IEEE Access (2020) Vol. 8, pp. 14630-14641
Open Access | Times Cited: 138
Performance Evaluation and Comparison using Deep Learning Techniques in Sentiment Analysis
Pasumpon Pandian A.
Journal of Soft Computing Paradigm (2021) Vol. 3, Iss. 2, pp. 123-134
Open Access | Times Cited: 132
State of the art: a review of sentiment analysis based on sequential transfer learning
Jireh Yi-Le Chan, Khean Thye Bea, Steven Mun Hong Leow, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 1, pp. 749-780
Closed Access | Times Cited: 122
A Survey on Aspect-Based Sentiment Classification
Gianni Brauwers, Flavius Frăsincar
ACM Computing Surveys (2021) Vol. 55, Iss. 4, pp. 1-37
Open Access | Times Cited: 102
Multi-class sentiment analysis of urdu text using multilingual BERT
Lal Khan, Ammar Amjad, Noman Ashraf, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 76
Multi-class sentiment classification on Bengali social media comments using machine learning
Rezaul Haque, Naimul Islam, Mayisha Tasneem, et al.
International Journal of Cognitive Computing in Engineering (2023) Vol. 4, pp. 21-35
Open Access | Times Cited: 61
Sentiment analysis classification system using hybrid BERT models
Amira Samy Talaat
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 60
A Survey of Text Classification With Transformers: How Wide? How Large? How Long? How Accurate? How Expensive? How Safe?
John Fields, Kevin Chovanec, Praveen Madiraju
IEEE Access (2024) Vol. 12, pp. 6518-6531
Open Access | Times Cited: 23
Aspect category sentiment analysis based on multiple attention mechanisms and pre-trained models
Xiaoan Zhan, Chenxi Shi, Lianwei Li, et al.
Applied and Computational Engineering (2024) Vol. 71, Iss. 1, pp. 21-26
Closed Access | Times Cited: 21
"Challenges and future in deep learning for sentiment analysis: a comprehensive review and a proposed novel hybrid approach"
Md Shofiqul Islam, Muhammad Nomani Kabir, Ngahzaifa Ab Ghani, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 3
Open Access | Times Cited: 18
Analyzing Amazon Products Sentiment: A Comparative Study of Machine and Deep Learning, and Transformer-Based Techniques
H. Karamath Ali, Ehtesham Hashmi, Sule Yildirim Yayilgan, et al.
Electronics (2024) Vol. 13, Iss. 7, pp. 1305-1305
Open Access | Times Cited: 16
A review of sentiment analysis: tasks, applications, and deep learning techniques
Neeraj Sharma, A. B. M. Shawkat Ali, Muhammad Ashad Kabir
International Journal of Data Science and Analytics (2024)
Closed Access | Times Cited: 15
A novel method for sentiment classification of drug reviews using fusion of deep and machine learning techniques
Mohammad Ehsan Basiri, Moloud Abdar, Mehmet Akif Çifçi, et al.
Knowledge-Based Systems (2020) Vol. 198, pp. 105949-105949
Closed Access | Times Cited: 129
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