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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:

HyVADRF: Hybrid VADER–Random Forest and GWO for Bitcoin Tweet Sentiment Analysis
Anny Mardjo, Chidchanok Choksuchat
IEEE Access (2022) Vol. 10, pp. 101889-101897
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

A lightweight deep learning model based recommender system by sentiment analysis
Phaneendra Chiranjeevi, A. Rajaram
Journal of Intelligent & Fuzzy Systems (2023) Vol. 44, Iss. 6, pp. 10537-10550
Closed Access | Times Cited: 32
Cryptocurrency Trend Prediction Through Hybrid Deep Transfer Learning
Kia Jahanbin, Mohammad Ali Zare Chahooki
International Journal of Intelligent Systems (2025) Vol. 2025, Iss. 1
Open Access
An explainable ensemble model for revealing the level of depression in social media by considering personality traits and sentiment polarity pattern
Gede Aditra Pradnyana, Wiwik Anggraeni, Eko Mulyanto Yuniarno, et al.
Online Social Networks and Media (2025) Vol. 46, pp. 100307-100307
Closed Access
Sensing the pulse of the pandemic: unveiling the geographical and demographic disparities of public sentiment toward COVID-19 through social media
Binbin Lin, Lei Zou, Bo Zhao, et al.
Cartography and Geographic Information Science (2024) Vol. 51, Iss. 3, pp. 366-384
Closed Access | Times Cited: 4
A random forest-based model for crypto asset forecasts in futures markets with out-of-sample prediction
Francisco Orte, José Mira, María Manzano, et al.
Research in International Business and Finance (2022) Vol. 64, pp. 101829-101829
Open Access | Times Cited: 20
Vaccine Hesitancy Hotspots in Africa: An Insight From Geotagged Twitter Posts
Blessing Ogbuokiri, Ali Ahmadi, Zahra Movahedi Nia, et al.
IEEE Transactions on Computational Social Systems (2023) Vol. 11, Iss. 1, pp. 1325-1338
Open Access | Times Cited: 11
Sentiments analysis of fMRI using automatically generated stimuli labels under naturalistic paradigm
Rimsha Mahrukh, Sadia Shakil, Aamir Saeed Malik
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 10
Enhancing Cryptocurrency Price Forecasting by Integrating Machine Learning with Social Media and Market Data
Loris Belcastro, Domenico Carbone, Cristian Cosentino, et al.
Algorithms (2023) Vol. 16, Iss. 12, pp. 542-542
Open Access | Times Cited: 9
Identifying Users and Developers of Mobile Apps in Social Network Crowd
Ghadah Alamer, Sultan Alyahya, Hmood Al-Dossari
Electronics (2023) Vol. 12, Iss. 16, pp. 3422-3422
Open Access | Times Cited: 8
The Soundtrack of a Crisis: More Positive Music Preferences During Economic and Social Adversity
Marco Palomeque, Juan de-Lucio
Journal of Happiness Studies (2024) Vol. 25, Iss. 5
Open Access | Times Cited: 2
Sentiment analysis model for cryptocurrency tweets using different deep learning techniques
M. Thamban Nair, Laila A. Abd-Elmegid, Mohamed I. Marie
Journal of Intelligent Systems (2024) Vol. 33, Iss. 1
Open Access | Times Cited: 2
A novel self-supervised sentiment classification approach using semantic labeling based on contextual embeddings
Mousa Alizadeh, Azam Seilsepour
Multimedia Tools and Applications (2024)
Open Access | Times Cited: 2
An Enhanced IDBO-CNN-BiLSTM Model for Sentiment Analysis of Natural Disaster Tweets
Guangyu Mu, Jiaxue Li, Xiurong Li, et al.
Biomimetics (2024) Vol. 9, Iss. 9, pp. 533-533
Open Access | Times Cited: 2
HyBiLSTM: Multivariate Bitcoin Price Forecasting Using Hybrid Time-Series Models With Bidirectional LSTM
Anny Mardjo, Chidchanok Choksuchat
IEEE Access (2024) Vol. 12, pp. 50792-50808
Open Access | Times Cited: 1
Sentiment Analysis of Twitter Data: A Review
Simarjeet Singh, Puneet Kumar
(2023), pp. 1-7
Closed Access | Times Cited: 4
Fusion of BERT embeddings and elongation-driven features
Abderrahim Rafae, Mohammed Erritali, Mathieu Roche
Multimedia Tools and Applications (2024) Vol. 83, Iss. 34, pp. 80773-80797
Closed Access | Times Cited: 1
VADER SENTIMENT ANALYSIS ON TWITTER: PREDICTING PRICE TRENDS AND DAILY RETURNS IN INDIA’S STOCK MARKET

Bangladesh Journal of Multidisciplinary Scientific Research (2024), pp. 45-54
Open Access | Times Cited: 1
Uncovering Key Factors That Drive the Impressions of Online Emerging Technology Narratives
Lowri Williams, Eirini Anthi, Pete Burnap
Information (2024) Vol. 15, Iss. 11, pp. 706-706
Open Access | Times Cited: 1
Impact of Negation and AnA-Words on Overall Sentiment Value of the Text Written in the Bosnian Language
Sead Jahić, Jernej Vičič
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7760-7760
Open Access | Times Cited: 3
Multi-class nonparallel support vector machine
Ali Sahleh, Maziar Salahi, Sadegh Eskandari
Progress in Artificial Intelligence (2023) Vol. 12, Iss. 4, pp. 349-361
Closed Access | Times Cited: 2
Financial sentiment analysis: Classic methods vs. deep learning models
Aikaterini Karanikola, Gregory Davrazos, Charalampos M. Liapis, et al.
Intelligent Decision Technologies (2023) Vol. 17, Iss. 4, pp. 893-915
Open Access | Times Cited: 2
Aspect-Based Sentiment Classification of Online Product Reviews Using Hybrid Lexicon-Machine Learning Approach
Daniel Asuquo, Kingsley Attai, Patience U. Usip, et al.
Communications in computer and information science (2024), pp. 124-143
Closed Access
Transfer learning approach for identifying negative sentiment in tweets directed to football players
Nanlir Sallau Mullah, Wan Mohd Nazmee Wan Zainon, Mohd Nadhir Ab Wahab
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108377-108377
Closed Access
A Scalable and Automated Framework for Tracking the Likely Adoption of Emerging Technologies
Lowri Williams, Eirini Anthi, Pete Burnap
Information (2024) Vol. 15, Iss. 4, pp. 237-237
Open Access
Analysis of YouTube Video Comments with NLP Methods
Mironela Pîrnău, Iustin Priescu, Priescu Catalina Mihaela, et al.
2022 14th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) (2024), pp. 1-6
Closed Access
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