Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 survey of sentiment analysis in social media
Lin Yue, Weitong Chen, Xue Li, et al.
Knowledge and Information Systems (2018) Vol. 60, Iss. 2, pp. 617-663
Closed Access | Times Cited: 442

Showing 1-25 of 442 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
Transformer models for text-based emotion detection: a review of BERT-based approaches
Francisca Adoma Acheampong, Henry Nunoo‐Mensah, Wenyu Chen
Artificial Intelligence Review (2021) Vol. 54, Iss. 8, pp. 5789-5829
Closed Access | Times Cited: 393
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
Issues and Challenges of Aspect-based Sentiment Analysis: A Comprehensive Survey
Ambreen Nazir, Yuan Rao, Lianwei Wu, et al.
IEEE Transactions on Affective Computing (2020) Vol. 13, Iss. 2, pp. 845-863
Closed Access | Times Cited: 224
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
Image-Text Multimodal Emotion Classification via Multi-View Attentional Network
Xiaocui Yang, Shi Feng, Daling Wang, et al.
IEEE Transactions on Multimedia (2020) Vol. 23, pp. 4014-4026
Closed Access | Times Cited: 159
Attention-Emotion-Enhanced Convolutional LSTM for Sentiment Analysis
Faliang Huang, Xuelong Li, Changan Yuan, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 9, pp. 4332-4345
Closed Access | Times Cited: 157
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
Detection of fintech P2P lending issues in Indonesia
Ryan Randy Suryono, Indra Budi, Betty Purwandari
Heliyon (2021) Vol. 7, Iss. 4, pp. e06782-e06782
Open Access | Times Cited: 110
Multimodal Sentiment Analysis With Image-Text Interaction Network
Tong Zhu, Leida Li, Jufeng Yang, et al.
IEEE Transactions on Multimedia (2022) Vol. 25, pp. 3375-3385
Open Access | Times Cited: 108
Deep learning and multilingual sentiment analysis on social media data: An overview
Marvin M. Agüero-Torales, José Ignacio Abreu Salas, A.G. López‐Herrera
Applied Soft Computing (2021) Vol. 107, pp. 107373-107373
Closed Access | Times Cited: 105
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 of public services for smart society: Literature review and future research directions
Sanjeev Verma
Government Information Quarterly (2022) Vol. 39, Iss. 3, pp. 101708-101708
Closed Access | Times Cited: 94
Social media user behavior analysis applied to the fashion and apparel industry in the big data era
Zhebin Xue, Qing Li, Xianyi Zeng
Journal of Retailing and Consumer Services (2023) Vol. 72, pp. 103299-103299
Closed Access | Times Cited: 41
A systematic review of the 15-minute city framework: implications for environmental heritage preservation in the Anthropocene
Madiha Bencekri, Juhyeon Kwak, Doyun Lee, et al.
International Journal of Urban Sciences (2025), pp. 1-30
Closed Access | Times Cited: 2
A comparative study of effective approaches for Arabic sentiment analysis
Ibrahim Abu Farha, Walid Magdy
Information Processing & Management (2020) Vol. 58, Iss. 2, pp. 102438-102438
Open Access | Times Cited: 87
A Multitask Framework to Detect Depression, Sentiment and Multi-label Emotion from Suicide Notes
Soumitra Ghosh, Asif Ekbal, Pushpak Bhattacharyya
Cognitive Computation (2021) Vol. 14, Iss. 1, pp. 110-129
Closed Access | Times Cited: 85
Multimodal Sentiment Detection Based on Multi-channel Graph Neural Networks
Xiaocui Yang, Shi Feng, Yifei Zhang, et al.
(2021)
Open Access | Times Cited: 73
Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications
Shaoxiong Ji, Shirui Pan, Xue Li, et al.
IEEE Transactions on Computational Social Systems (2020) Vol. 8, Iss. 1, pp. 214-226
Open Access | Times Cited: 70
Stock Price Forecast Based on CNN-BiLSTM-ECA Model
Yu Chen, Ruixin Fang, Ting Liang, et al.
Scientific Programming (2021) Vol. 2021, pp. 1-20
Open Access | Times Cited: 55
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
Emotion fusion for mental illness detection from social media: A survey
Tianlin Zhang, Kailai Yang, Shaoxiong Ji, et al.
Information Fusion (2022) Vol. 92, pp. 231-246
Open Access | Times Cited: 52
CLMLF:A Contrastive Learning and Multi-Layer Fusion Method for Multimodal Sentiment Detection
Zhen Li, Bing Xu, Conghui Zhu, et al.
Findings of the Association for Computational Linguistics: NAACL 2022 (2022)
Open Access | Times Cited: 46
TBCOV: Two Billion Multilingual COVID-19 Tweets with Sentiment, Entity, Geo, and Gender Labels
Muhammad Imran, Umair Qazi, Ferda Ofli
Data (2022) Vol. 7, Iss. 1, pp. 8-8
Open Access | Times Cited: 42
Page 1 - Next Page

Scroll to top