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 Complete VADER-Based Sentiment Analysis of Bitcoin (BTC) Tweets during the Era of COVID-19
Toni Pano, Rasha Kashef
Big Data and Cognitive Computing (2020) Vol. 4, Iss. 4, pp. 33-33
Open Access | Times Cited: 160

Showing 1-25 of 160 citing articles:

Leveraging Twitter data to understand public sentiment for the COVID‐19 outbreak in Singapore
Khairiyah Mohamed Ridhwan, Carol Anne Hargreaves
International Journal of Information Management Data Insights (2021) Vol. 1, Iss. 2, pp. 100021-100021
Open Access | Times Cited: 143

A Machine Learning-Sentiment Analysis on Monkeypox Outbreak: An Extensive Dataset to Show the Polarity of Public Opinion From Twitter Tweets
Staphord Bengesi, Timothy Oladunni, Ruth Olusegun, et al.
IEEE Access (2023) Vol. 11, pp. 11811-11826
Open Access | Times Cited: 49

COVID-19 Vaccination Awareness and Aftermath: Public Sentiment Analysis on Twitter Data and Vaccinated Population Prediction in the USA
Naw Safrin Sattar, Shaikh Arifuzzaman
Applied Sciences (2021) Vol. 11, Iss. 13, pp. 6128-6128
Open Access | Times Cited: 87

Emotional and the normative aspects of customers’ reviews
Yana Pashchenko, Mst Farjana Rahman, Md Shamim Hossain, et al.
Journal of Retailing and Consumer Services (2022) Vol. 68, pp. 103011-103011
Closed Access | Times Cited: 46

Enhancing the government accounting information systems using social media information: An application of text mining and machine learning
Huijue Kelly Duan, Miklos A. Vasarhelyi, Maurí­cio Mello Codesso, et al.
International Journal of Accounting Information Systems (2022) Vol. 48, pp. 100600-100600
Closed Access | Times Cited: 42

“I just like the stock”: The role of Reddit sentiment in the GameStop share rally
Suwan Long, Brian M. Lucey, Ying Xie, et al.
Financial Review (2022) Vol. 58, Iss. 1, pp. 19-37
Open Access | Times Cited: 41

Blockchain Based E-Analysis of Social Media Forums for Crypto Currency Phase Shifts
Sharda Kumari, Vipin Kumar, A. Sharmila, et al.
2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA) (2023), pp. 1222-1225
Closed Access | Times Cited: 32

Detection of potential customers’ empathy behavior towards customers' reviews
Md Shamim Hossain, Mst Farjana Rahman
Journal of Retailing and Consumer Services (2021) Vol. 65, pp. 102881-102881
Closed Access | Times Cited: 52

"I Just Like the Stock" versus "Fear and Loathing on Main Street" : The Role of Reddit Sentiment in the GameStop Short Squeeze
Suwan Long, Brian M. Lucey, Larisa Yarovaya, et al.
SSRN Electronic Journal (2021)
Closed Access | Times Cited: 43

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

Stock trend prediction using sentiment analysis
Qianyi Xiao, Baha Ihnaini
PeerJ Computer Science (2023) Vol. 9, pp. e1293-e1293
Open Access | Times Cited: 19

Predicting Bitcoin Trends Through Machine Learning Using Sentiment Analysis with Technical Indicators
Hae Sun Jung, Seon Hong Lee, Haein Lee, et al.
Computer Systems Science and Engineering (2023) Vol. 46, Iss. 2, pp. 2231-2246
Open Access | Times Cited: 16

High on Bitcoin: Evidence of emotional contagion in the YouTube crypto influencer space
Eva Andrea Meyer, Philipp Sandner, Bernard Cloutier, et al.
Journal of Business Research (2023) Vol. 164, pp. 113850-113850
Closed Access | Times Cited: 16

Psycholinguistic and emotion analysis of cryptocurrency discourse on X platform
Moein Shahiki Tash, Olga Kolesnikova, Zahra Ahani, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5

LLMs and NLP Models in Cryptocurrency Sentiment Analysis: A Comparative Classification Study
Konstantinos I. Roumeliotis, Nikolaos D. Tselikas, Dimitrios Κ. Nasiopoulos
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 6, pp. 63-63
Open Access | Times Cited: 5

Do stock markets care about ESG and sentiments? Impact of ESG and investors' sentiment on share price prediction using machine learning
Sougata Banerjee, Divya Aggarwal, Pooja Sengupta
Annals of Operations Research (2025)
Closed Access

I know your stance! Analyzing Twitter users’ political stance on diverse perspectives
Jisu Kim, Dongjae Kim, Eunil Park
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access

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

Forecasting the Bitcoin price using the various Machine Learning: A systematic review in data-driven marketing
Payam Boozary, Sohgand Sheykhan, Hamed GhorbanTanhaei
Systems and Soft Computing (2025), pp. 200209-200209
Open Access

Click me…! The influence of clickbait on user engagement in social media and the role of digital nudging
Anna-Katharina Jung, Stefan Stieglitz, Tobias Kißmer, et al.
PLoS ONE (2022) Vol. 17, Iss. 6, pp. e0266743-e0266743
Open Access | Times Cited: 23

What Tweets and YouTube comments have in common? Sentiment and graph analysis on data related to US elections 2020
Alexander Shevtsov, Maria Oikonomidou, Despoina Antonakaki, et al.
PLoS ONE (2023) Vol. 18, Iss. 1, pp. e0270542-e0270542
Open Access | Times Cited: 14

Predicting the Price of Bitcoin Using Sentiment-Enriched Time Series Forecasting
Markus Frohmann, Manuel Karner, Said Khudoyan, et al.
Big Data and Cognitive Computing (2023) Vol. 7, Iss. 3, pp. 137-137
Open Access | Times Cited: 13

Understanding rate of return dynamics of cryptocurrencies: an experimental campaign
Krzysztof Koszewski, Somnath Mazumdar, Anoop Kumar
Artificial Intelligence Review (2024) Vol. 57, Iss. 1
Open Access | Times Cited: 4

Tourism Development through the Sense of UNESCO World Heritage: The Case of Hegra, Saudi Arabia
Sara Sampieri, Abdellah Saoualih, Larbi Safaa, et al.
Heritage (2024) Vol. 7, Iss. 4, pp. 2195-2216
Open Access | Times Cited: 4

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