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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 of Twitter Data
Yili Wang, Jiaxuan Guo, Chengsheng Yuan, et al.
Applied Sciences (2022) Vol. 12, Iss. 22, pp. 11775-11775
Open Access | Times Cited: 59

Showing 1-25 of 59 citing articles:

Study of Twitter Sentiment Analysis using Machine Learning Algorithms on Python
Bhumika Gupta, Monika Negi, Kanika Vishwakarma, et al.
International Journal of Computer Applications (2017) Vol. 165, Iss. 9, pp. 29-34
Open Access | Times Cited: 106
Advances in Sentiment Analysis - Techniques, Applications, and Challenges
Jinfeng Li
Artificial intelligence (2023)
Open Access | Times Cited: 25
Multi-level deep Q-networks for Bitcoin trading strategies
Otabek Sattarov, Jaeyoung Choi
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
An Efficient Sentiment Classification Model Using Fusion of BERT and Deep Learning RNN Variants
Raja Rao PBV, Prasad Maddula, Pokkuluri Kiran Sree, et al.
(2025), pp. 268-278
Closed Access
Sentiment evolution on social media: An in-depth study using Naive bayes for Twitter sentiment analysis
Vandana Raturi, Daksh Rawat, H.K. Narang, et al.
AIP conference proceedings (2025) Vol. 3224, pp. 020022-020022
Closed Access
The Media Spatial Diffusion Effect and Distribution Characteristics of AI in Education: An Empirical Analysis of Public Sentiments Across Provincial Regions in China
Bowen Chen, Jinqiao Zhou, Hongfeng Zhang
Applied Sciences (2025) Vol. 15, Iss. 6, pp. 3184-3184
Open Access
Emotion-Semantic-Enhanced Neural Network
Guang Yang, Haibo He, Qian Chen
IEEE/ACM Transactions on Audio Speech and Language Processing (2018) Vol. 27, Iss. 3, pp. 531-543
Closed Access | Times Cited: 48
Predicting depression using deep learning and ensemble algorithms on raw twitter data
Nisha P. Shetty, Balachandra Muniyal, Arshia Anand, et al.
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2020) Vol. 10, Iss. 4, pp. 3751-3751
Open Access | Times Cited: 42
Aspect-Based Sentiment Analysis using Machine Learning and Deep Learning Approaches
Dinesh Kumar, Avdhesh Gupta, Vishan Kumar Gupta, et al.
International Journal on Recent and Innovation Trends in Computing and Communication (2023) Vol. 11, Iss. 5s, pp. 118-138
Open Access | Times Cited: 15
Sentiment Analysis of Arabic Tweets in e-Learning
Hamed AL-Rubaiee, Renxi Qiu, Khalid Alomar, et al.
Journal of Computer Science (2016) Vol. 12, Iss. 11, pp. 553-563
Open Access | Times Cited: 46
Sentiment Analysis of Financial Textual data Using Machine Learning and Deep Learning Models
Hero O. Ahmad, Shahla U. Umar
Informatica (2023) Vol. 47, Iss. 5
Open Access | Times Cited: 9
Twitter Sentiment Analysis
Hamid Bagheri, Md Johirul Islam
(2017)
Closed Access | Times Cited: 25
Opinion Mining for the Tweets in Healthcare Sector using Fuzzy Association Rule
Mamta Mittal, Iqbaldeep Kaur, Subhash C. Pandey, et al.
EAI Endorsed Transactions on Pervasive Health and Technology (2018) Vol. 4, Iss. 16, pp. e2-e2
Open Access | Times Cited: 24
Innovative Forward Fusion Feature Selection Algorithm for Sentiment Analysis Using Supervised Classification
Ayman Mohamed Mostafa, Meeaad Aljasir, Meshrif Alruily, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2074-2074
Open Access | Times Cited: 7
Text emotion analysis in aquaculture communication via Twitter: The case of Spain
Elisa Baraibar‐Diez, Ignacio Llorente, María D. Odriozola
Marine Policy (2023) Vol. 152, pp. 105605-105605
Open Access | Times Cited: 7
NLP - Powered Sentiment Analysis on the Twitter
K Darshan, Jerusha Samuel, Manjunatha Swamy, et al.
Saudi Journal of Engineering and Technology (2024) Vol. 9, Iss. 01, pp. 1-11
Open Access | Times Cited: 2
Twitter Sentiment Analysis
Dr. Md Lutful Islam, Momin Mustufa, Sahil Shaikh, et al.
International Journal of Advanced Research in Science Communication and Technology (2023), pp. 476-481
Open Access | Times Cited: 6
Combing Semantic and Prior Polarity Features for Boosting Twitter Sentiment Analysis Using Ensemble Learning
Zhao Jianqiang
(2016), pp. 709-714
Closed Access | Times Cited: 19
Classification of Arabic Social Media Texts Based on a Deep Learning Multi-Tasks Model
Ali A. Jalil, Ahmed H. Aliwy
Deleted Journal (2023) Vol. 2, Iss. 2
Open Access | Times Cited: 5
Sentiment Analysis from Twitter Regarding E-SIM Services by Smartfren Using the Naïve Bayes Classifier Method
Jhody Bintang Sarrang, Ahmad Zuhdi, Anung B Ariwibowo
Intelmatics (2024) Vol. 4, Iss. 1, pp. 38-41
Open Access | Times Cited: 1
Depressive and Non-depressive Tweets Classification using a Sequential Deep Learning Model
Anupam Agrawal, Sharmistha Dey, Gopal Chandra Jana
(2023), pp. 1-6
Closed Access | Times Cited: 4
Analyzing Public Reactions, Perceptions, and Attitudes during the MPox Outbreak: Findings from Topic Modeling of Tweets
Nirmalya Thakur, Yuvraj Nihal Duggal, Zihui Liu
Computers (2023) Vol. 12, Iss. 10, pp. 191-191
Open Access | Times Cited: 4
Hybrid Deep Learning Approach for Classification and Analysis of X Posts on Russia Ukraine War
Amrit Suman, Sudeep Varshney, Kuldeep Chouhan, et al.
International Journal of Computing and Digital Systems (2024) Vol. 15, Iss. 1, pp. 837-853
Open Access | Times Cited: 1
ANALISIS SENTIMEN PENGGUNA TWITTER(X) TENTANG PIALA DUNIA USIA 17 MENGGUNAKAN METODE NAIVE BAYES
Mohammad Kholilullah, Martanto Martanto, Umi Hayati
JATI (Jurnal Mahasiswa Teknik Informatika) (2024) Vol. 8, Iss. 1, pp. 392-398
Open Access | Times Cited: 1
Prediction of COVID-19 Related Information Spreading on Twitter
Karlo Babić, Milan Petrović, Slobodan Beliga, et al.
(2021), pp. 395-399
Closed Access | Times Cited: 10
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