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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:

A Novel Hybrid Deep Learning Model for Sentiment Classification
Mehmet Umut Salur, İlhan Aydın
IEEE Access (2020) Vol. 8, pp. 58080-58093
Open Access | Times Cited: 174

Showing 1-25 of 174 citing articles:

Deep Residual Learning for Image Recognition: A Survey
Muhammad Shafiq, Zhaoquan Gu
Applied Sciences (2022) Vol. 12, Iss. 18, pp. 8972-8972
Open Access | Times Cited: 436
Bi-LSTM Model to Increase Accuracy in Text Classification: Combining Word2vec CNN and Attention Mechanism
Beakcheol Jang, Myeonghwi Kim, Gaspard Harerimana, et al.
Applied Sciences (2020) Vol. 10, Iss. 17, pp. 5841-5841
Open Access | Times Cited: 317
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
Sentiment Analysis in Social Media Data for Depression Detection Using Artificial Intelligence: A Review
Nirmal Varghese Babu, E. Grace Mary Kanaga
SN Computer Science (2021) Vol. 3, Iss. 1
Open Access | Times Cited: 178
Artificial intelligence-based hybrid deep learning models for image classification: The first narrative review
Biswajit Jena, Sanjay Saxena, Gopal Krishna Nayak, et al.
Computers in Biology and Medicine (2021) Vol. 137, pp. 104803-104803
Closed Access | Times Cited: 135
A systematic review of social media-based sentiment analysis: Emerging trends and challenges
Qianwen Xu, Victor Chang, Chrisina Jayne
Decision Analytics Journal (2022) Vol. 3, pp. 100073-100073
Open Access | Times Cited: 100
Survey on sentiment analysis: evolution of research methods and topics
Jingfeng Cui, Zhaoxia Wang, Seng-Beng Ho, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 8, pp. 8469-8510
Open Access | Times Cited: 96
Sentiment Analysis With Ensemble Hybrid Deep Learning Model
Kian Long Tan, Chin Poo Lee, Kian Ming Lim, et al.
IEEE Access (2022) Vol. 10, pp. 103694-103704
Open Access | Times Cited: 81
A Survey of Text Representation and Embedding Techniques in NLP
Rajvardhan Patil, Sorio Boit, Venkat N. Gudivada, et al.
IEEE Access (2023) Vol. 11, pp. 36120-36146
Open Access | Times Cited: 60
Deep Learning for Credit Card Fraud Detection: A Review of Algorithms, Challenges, and Solutions
Ibomoiye Domor Mienye, Nobert Jere
IEEE Access (2024) Vol. 12, pp. 96893-96910
Open Access | Times Cited: 21
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
Hybrid Deep Learning Models for Sentiment Analysis
Cach N. Dang, Marı́a N. Moreno Garcı́a, Fernando De la Prieta
Complexity (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 99
Deep Learning Techniques on Text Classification Using Natural Language Processing (NLP) In Social Healthcare Network: A Comprehensive Survey
P. Lavanya, E. Sasikala
(2021), pp. 603-609
Closed Access | Times Cited: 76
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
On the cost-effectiveness of neural and non-neural approaches and representations for text classification: A comprehensive comparative study
Washington Cunha, Vítor Mangaravite, Christian Gomes, et al.
Information Processing & Management (2021) Vol. 58, Iss. 3, pp. 102481-102481
Closed Access | Times Cited: 65
A Novel Deep Learning based Sentiment Analysis of Twitter Data for US Airline Service
Khan Md. Hasib, Md. Ahsan Habib, Nurul Akter Towhid, et al.
(2021), pp. 450-455
Closed Access | Times Cited: 63
Brain tumor categorization from imbalanced MRI dataset using weighted loss and deep feature fusion
S. Deepak, P. M. Ameer
Neurocomputing (2022) Vol. 520, pp. 94-102
Closed Access | Times Cited: 47
Sentiment and Context-Aware Hybrid DNN With Attention for Text Sentiment Classification
Jawad Khan, Niaz Ahmad, Shah Khalid, et al.
IEEE Access (2023) Vol. 11, pp. 28162-28179
Open Access | Times Cited: 36
Machine Learning Techniques for Sentiment Analysis of COVID-19-Related Twitter Data
Niklas Braig, Alina Benz, Soeren Voth, et al.
IEEE Access (2023) Vol. 11, pp. 14778-14803
Open Access | Times Cited: 29
A MapReduce Opinion Mining for COVID-19-Related Tweets Classification Using Enhanced ID3 Decision Tree Classifier
Fatima Es-sabery, Khadija Es-sabery, Junaid Qadir, et al.
IEEE Access (2021) Vol. 9, pp. 58706-58739
Open Access | Times Cited: 50
A Tweet Sentiment Classification Approach Using a Hybrid Stacked Ensemble Technique
Babacar Gaye, Dezheng Zhang, Aziguli Wulamu
Information (2021) Vol. 12, Iss. 9, pp. 374-374
Open Access | Times Cited: 44
Aspect-based sentiment analysis: an overview in the use of Arabic language
Rajae Bensoltane, Taher Zaki
Artificial Intelligence Review (2022) Vol. 56, Iss. 3, pp. 2325-2363
Closed Access | Times Cited: 28
Deep learning-based user experience evaluation in distance learning
Rahim Sadigov, Elif Yıldırım, Büşra Kocaçınar, et al.
Cluster Computing (2023) Vol. 27, Iss. 1, pp. 443-455
Open Access | Times Cited: 17
An Efficient Deep Learning for Thai Sentiment Analysis
Nattawat Khamphakdee, Pusadee Seresangtakul
Data (2023) Vol. 8, Iss. 5, pp. 90-90
Open Access | Times Cited: 16
Hybrid approach of deep feature extraction using BERT– OPCNN & FIAC with customized Bi-LSTM for rumor text classification
K. Nithya, M Krishnamoorthi, V E Sathishkumar, et al.
Alexandria Engineering Journal (2024) Vol. 90, pp. 65-75
Open Access | Times Cited: 5
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