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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:

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

Showing 1-25 of 649 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
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
Deep learning in food category recognition
Yudong Zhang, Lijia Deng, Hengde Zhu, et al.
Information Fusion (2023) Vol. 98, pp. 101859-101859
Open Access | Times Cited: 239
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
InstaCovNet-19: A deep learning classification model for the detection of COVID-19 patients using Chest X-ray
Anunay Gupta, Anjum Ansari, Shreyansh Gupta, et al.
Applied Soft Computing (2020) Vol. 99, pp. 106859-106859
Open Access | Times Cited: 217
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
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
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
The emergence of social media data and sentiment analysis in election prediction
Priyavrat Chauhan, Nonita Sharma, Geeta Sikka
Journal of Ambient Intelligence and Humanized Computing (2020) Vol. 12, Iss. 2, pp. 2601-2627
Closed Access | Times Cited: 154
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 review on sentiment analysis from social media platforms
Margarita Rodríguez-Ibáñez, Antonio Casánez-Ventura, Félix Castejón-Mateos, et al.
Expert Systems with Applications (2023) Vol. 223, pp. 119862-119862
Open Access | Times Cited: 117
A Review of the Trends and Challenges in Adopting Natural Language Processing Methods for Education Feedback Analysis
Thanveer Shaik, Xiaohui Tao, Yan Li, et al.
IEEE Access (2022) Vol. 10, pp. 56720-56739
Open Access | Times Cited: 113
Transformer-based deep learning models for the sentiment analysis of social media data
Sayyida Tabinda Kokab, Sohail Asghar, Shehneela Naz
Array (2022) Vol. 14, pp. 100157-100157
Open Access | Times Cited: 99
Lexicon-Based vs. Bert-Based Sentiment Analysis: A Comparative Study in Italian
Rosario Catelli, Serena Pelosi, Massimo Esposito
Electronics (2022) Vol. 11, Iss. 3, pp. 374-374
Open Access | Times Cited: 94
Deep Sentiment Analysis Using CNN-LSTM Architecture of English and Roman Urdu Text Shared in Social Media
Lal Khan, Ammar Amjad, Kanwar Muhammad Afaq, et al.
Applied Sciences (2022) Vol. 12, Iss. 5, pp. 2694-2694
Open Access | Times Cited: 94
A Survey of CNN-Based Network Intrusion Detection
Leila Mohammadpour, Teck Chaw Ling, Chee Sun Liew, et al.
Applied Sciences (2022) Vol. 12, Iss. 16, pp. 8162-8162
Open Access | Times Cited: 91
What Does it Mean for a Language Model to Preserve Privacy?
Hannah Brown, Katherine Lee, Fatemehsadat Mireshghallah, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 2280-2292
Open Access | Times Cited: 89
A Novel Text Mining Approach for Mental Health Prediction Using Bi-LSTM and BERT Model
Kamil Zeberga, Muhammad Attique, Babar Shah, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-18
Open Access | Times Cited: 80
Sentiment analysis: A survey on design framework, applications and future scopes
Monali Bordoloi, Saroj Kumar Biswas
Artificial Intelligence Review (2023) Vol. 56, Iss. 11, pp. 12505-12560
Open Access | Times Cited: 80
Machine Learning Approaches in Stock Price Prediction: A Systematic Review
Payal Soni, Yogya Tewari, Deepa Krishnan
Journal of Physics Conference Series (2022) Vol. 2161, Iss. 1, pp. 012065-012065
Open Access | Times Cited: 76
Deep learning-based multimodal emotion recognition from audio, visual, and text modalities: A systematic review of recent advancements and future prospects
Shiqing Zhang, Yijiao Yang, Chen Chen, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121692-121692
Closed Access | Times Cited: 73
Forecasting Stock Market Prices Using Machine Learning and Deep Learning Models: A Systematic Review, Performance Analysis and Discussion of Implications
Gaurang Sonkavde, Deepak Dharrao, Anupkumar M. Bongale, et al.
International Journal of Financial Studies (2023) Vol. 11, Iss. 3, pp. 94-94
Open Access | Times Cited: 67
Impact of extreme weather in production economics: Extracting evidence from user-generated content
José Ramón Saura, Samuel Ribeiro‐Navarrete, Daniel Palacios‐Marqués, et al.
International Journal of Production Economics (2023) Vol. 260, pp. 108861-108861
Open Access | Times Cited: 41
A multimodal approach to cross-lingual sentiment analysis with ensemble of transformer and LLM
M. Saef Ullah Miah, Md. Mohsin Kabir, Talha Bin Sarwar, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 28
How to build a competitive advantage for your brand using generative AI
Yuanyuan Cui, Patrick van Esch, Steven E. Phelan
Business Horizons (2024) Vol. 67, Iss. 5, pp. 583-594
Closed Access | Times Cited: 24
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