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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 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

Showing 1-25 of 633 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 Survey of Ensemble Learning: Concepts, Algorithms, Applications, and Prospects
Ibomoiye Domor Mienye, Yanxia Sun
IEEE Access (2022) Vol. 10, pp. 99129-99149
Open Access | Times Cited: 455
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
Multimodal Sentiment Analysis: A Survey of Methods, Trends, and Challenges
Ringki Das, Thoudam Doren Singh
ACM Computing Surveys (2023) Vol. 55, Iss. 13s, pp. 1-38
Open Access | Times Cited: 97
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
Impact of word embedding models on text analytics in deep learning environment: a review
Deepak Suresh Asudani, Naresh Kumar Nagwani, Pradeep Singh
Artificial Intelligence Review (2023) Vol. 56, Iss. 9, pp. 10345-10425
Open Access | Times Cited: 96
Using artificial intelligence in academic writing and research: An essential productivity tool
Mohamed Khalifa, Mona Albadawy
Computer Methods and Programs in Biomedicine Update (2024) Vol. 5, pp. 100145-100145
Open Access | Times Cited: 66
AI-enhanced blockchain technology: A review of advancements and opportunities
Dalila Ressi, Riccardo Romanello, Carla Piazza, et al.
Journal of Network and Computer Applications (2024) Vol. 225, pp. 103858-103858
Closed Access | Times Cited: 44
Sentiment Analysis of COVID-19 Tweets Using Deep Learning and Lexicon-Based Approaches
Bharati Ainapure, Reshma Pise, P Mahesh Reddy, et al.
Sustainability (2023) Vol. 15, Iss. 3, pp. 2573-2573
Open Access | Times Cited: 43
Recent advancements and challenges of NLP-based sentiment analysis: A state-of-the-art review
Jamin Rahman Jim, Md Apon Riaz Talukder, Partha Malakar, et al.
Natural Language Processing Journal (2024) Vol. 6, pp. 100059-100059
Open Access | Times Cited: 40
Opportunities and Challenges of Generative AI in Construction Industry: Focusing on Adoption of Text-Based Models
Prashnna Ghimire, Kyungki Kim, Manoj Acharya
Buildings (2024) Vol. 14, Iss. 1, pp. 220-220
Open Access | Times Cited: 30
A systematic review of big data innovations in smart grids
Hamed Taherdoost
Results in Engineering (2024) Vol. 22, pp. 102132-102132
Open Access | Times Cited: 20
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
MMTF-DES: A fusion of multimodal transformer models for desire, emotion, and sentiment analysis of social media data
Abdul Aziz, Nihad Karim Chowdhury, Muhammad Ashad Kabir, et al.
Neurocomputing (2025), pp. 129376-129376
Open Access | Times Cited: 1
Predictive Analysis of Economic Vulnerability Using News Data
Klenn Borja, Vivekjeet Singh Chambal, David Wangli
(2025)
Closed Access | Times Cited: 1
Aspect-level sentiment analysis: A survey of graph convolutional network methods
Huyen Trang Phan, Ngoc Thanh Nguyên, Dosam Hwang
Information Fusion (2022) Vol. 91, pp. 149-172
Closed Access | Times Cited: 66
#ThisIsMeChallenge and Music for Empowerment of Marginalized Groups on TikTok
Arantxa Vizcaíno-Verdú, Ignácio Aguaded
Media and Communication (2022) Vol. 10, Iss. 1
Open Access | Times Cited: 60
KnowMIS-ABSA: an overview and a reference model for applications of sentiment analysis and aspect-based sentiment analysis
Giuseppe D’Aniello, Matteo Gaeta, Ilaria La Rocca
Artificial Intelligence Review (2022) Vol. 55, Iss. 7, pp. 5543-5574
Open Access | Times Cited: 55
Consumers’ attitudes and their effects on electric vehicle sales and charging infrastructure construction: An empirical study in China
Yuanyuan Wang, Yuanying Chi, Jin-Hua Xu, et al.
Energy Policy (2022) Vol. 165, pp. 112983-112983
Closed Access | Times Cited: 53
What affects the online ratings of restaurant consumers: a research perspective on text-mining big data analysis
Jun Liu, Yunyun Yu, Fuad Mehraliyev, et al.
International Journal of Contemporary Hospitality Management (2022) Vol. 34, Iss. 10, pp. 3607-3633
Open Access | Times Cited: 46
Deep Learning in Sentiment Analysis: Recent Architectures
Tariq Abdullah, Ahmed Ahmet
ACM Computing Surveys (2022) Vol. 55, Iss. 8, pp. 1-37
Closed Access | Times Cited: 44
MBi-GRUMCONV: A novel Multi Bi-GRU and Multi CNN-Based deep learning model for social media sentiment analysis
Muhammet Sinan Başarslan, Fatih Kayaalp
Journal of Cloud Computing Advances Systems and Applications (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 39
RoBERTa-GRU: A Hybrid Deep Learning Model for Enhanced Sentiment Analysis
Kian Long Tan, Chin Poo Lee, Kian Ming Lim
Applied Sciences (2023) Vol. 13, Iss. 6, pp. 3915-3915
Open Access | Times Cited: 38
Issues and Solutions in Deep Learning-Enabled Recommendation Systems within the E-Commerce Field
Rand Jawad Kadhim Almahmood, Adem Tekerek
Applied Sciences (2022) Vol. 12, Iss. 21, pp. 11256-11256
Open Access | Times Cited: 37
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