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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:

Combating the menace: A survey on characterization and detection of fake news from a data science perspective
Wazib Ansar, Saptarsi Goswami
International Journal of Information Management Data Insights (2021) Vol. 1, Iss. 2, pp. 100052-100052
Open Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Combating Fake News: Stakeholder Interventions and Potential Solutions
Ankur Gupta, Neeraj Kumar, Purnendu Prabhat, et al.
IEEE Access (2022) Vol. 10, pp. 78268-78289
Open Access | Times Cited: 41
Deep Ensemble Fake News Detection Model Using Sequential Deep Learning Technique
Abdullah Ali, Fuad A. Ghaleb, Bander Ali Saleh Al‐rimy, et al.
Sensors (2022) Vol. 22, Iss. 18, pp. 6970-6970
Open Access | Times Cited: 38
A comprehensive survey of fake news in social networks: Attributes, features, and detection approaches
Medeswara Rao Kondamudi, Somya Ranjan Sahoo, Lokesh Chouhan, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 6, pp. 101571-101571
Open Access | Times Cited: 30
Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey
Sachin Kumar, Vidhisha Balachandran, Lucille Njoo, et al.
(2023)
Open Access | Times Cited: 23
Fact or fake? The search for truth in an infodemic of disinformation, misinformation, and malinformation with deepfake and fake news
Weng Marc Lim
Journal of Strategic Marketing (2023), pp. 1-37
Open Access | Times Cited: 21
Growth of digital brand name through customer satisfaction with big data analytics in the hospitality sector after the COVID-19 crisis
Δαμιανός Π. Σακάς, Dimitrios P. Reklitis, Marina C. Terzi, et al.
International Journal of Information Management Data Insights (2023) Vol. 3, Iss. 2, pp. 100190-100190
Open Access | Times Cited: 21
Not doomed: Examining the path from misinformation exposure to verification and correction in the context of COVID-19 pandemic
Xizhu Xiao
Telematics and Informatics (2022) Vol. 74, pp. 101890-101890
Open Access | Times Cited: 22
PyFin-sentiment: Towards a machine-learning-based model for deriving sentiment from financial tweets
Moritz Wilksch, Olga Abramova
International Journal of Information Management Data Insights (2023) Vol. 3, Iss. 1, pp. 100171-100171
Open Access | Times Cited: 15
Going beyond fact-checking to fight health misinformation: A multi-level analysis of the Twitter response to health news stories
Bu Zhong
International Journal of Information Management (2023) Vol. 70, pp. 102626-102626
Closed Access | Times Cited: 14
An investigation of crowdsourcing methods in enhancing the machine learning approach for detecting online recruitment fraud
Krishnadas Nanath, Liting Olney
International Journal of Information Management Data Insights (2023) Vol. 3, Iss. 1, pp. 100167-100167
Open Access | Times Cited: 13
How did online misinformation impact stockouts in the e-commerce supply chain during COVID-19 – A mixed methods study
Shagun Sarraf, Amit Kushwaha, Arpan Kumar Kar, et al.
International Journal of Production Economics (2023) Vol. 267, pp. 109064-109064
Open Access | Times Cited: 13
Exploring Latent Characteristics of Fake Reviews and Their Intermediary Role in Persuading Buying Decisions
Rahul Kumar, Shubhadeep Mukherjee, Nripendra P. Rana
Information Systems Frontiers (2023) Vol. 26, Iss. 3, pp. 1091-1108
Open Access | Times Cited: 11
GBERT: A Hybrid Deep Learning Model Based on GPT-BERT for Fake News Detection
Pummy Dhiman, Amandeep Kaur, Deepali Gupta, et al.
Heliyon (2024) Vol. 10, Iss. 16, pp. e35865-e35865
Open Access | Times Cited: 3
Detection of fake news campaigns using graph convolutional networks
Dimitrios Michail, Nikos Kanakaris, Iraklis Varlamis
International Journal of Information Management Data Insights (2022) Vol. 2, Iss. 2, pp. 100104-100104
Open Access | Times Cited: 18
Enhancing psychosomatic health using artificial intelligence-based treatment protocol: A data science-driven approach
Swapnil Morandé
International Journal of Information Management Data Insights (2022) Vol. 2, Iss. 2, pp. 100124-100124
Open Access | Times Cited: 18
Assessment of the spread of fake news of Covid-19 amongst social media users in Kano State, Nigeria
Mercy Ojochenemi Ahmed, Aondover Eric Msughter
Computers in Human Behavior Reports (2022) Vol. 6, pp. 100189-100189
Open Access | Times Cited: 15
How AI Can be Used for Governance of Messaging Services: A Study on Spam Classification Leveraging Multi-Channel Convolutional Neural Network
Gopalkrishna Waja, Gaurang Patil, Charmee Mehta, et al.
International Journal of Information Management Data Insights (2022) Vol. 3, Iss. 1, pp. 100147-100147
Open Access | Times Cited: 15
Web-Informed-Augmented Fake News Detection Model Using Stacked Layers of Convolutional Neural Network and Deep Autoencoder
Abdullah Ali, Fuad A. Ghaleb, Mohammed S. Mohammed, et al.
Mathematics (2023) Vol. 11, Iss. 9, pp. 1992-1992
Open Access | Times Cited: 8
Systematic meta-analysis of research on AI tools to deal with misinformation on social media during natural and anthropogenic hazards and disasters
Rosa Vicari, Nadejda Komendatova
Humanities and Social Sciences Communications (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 8
Machine and human roles for mitigation of misinformation harms during crises: An activity theory conceptualization and validation
Thi Tran, Rohit Valecha, H. Raghav Rao
International Journal of Information Management (2023) Vol. 70, pp. 102627-102627
Open Access | Times Cited: 7
Fake Information Detection Using Deep Learning Methods: A Survey
Pummy Dhiman, Amandeep Kaur, Anupam Bonkra
(2023), pp. 858-863
Closed Access | Times Cited: 7
Bubbles bursting: Investigating and measuring the personalisation of social media searches
Can Yang, Xinyuan Xu, Bernardo Pereira Nunes, et al.
Telematics and Informatics (2023) Vol. 82, pp. 101999-101999
Closed Access | Times Cited: 6
How does the development of COVID-19 affect the public's engagement to fake news rebuttal microblogs?
Zongmin Li, Ye Zhao, Xinyu Du, et al.
Telematics and Informatics (2023) Vol. 84, pp. 102029-102029
Closed Access | Times Cited: 6
A Review of Fake News Detection Models: Highlighting the Factors Affecting Model Performance and the Prominent Techniques Used
Suhaib Kh. Hamed, Mohd Juzaiddin Ab Aziz, Mohd Ridzwan Yaakub
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 7
Open Access | Times Cited: 6
Modeling and Comparing Brain Processes in Message and Earned Source Credibility Evaluation
Piotr Schneider, Grzegorz M. Wójcik, Andrzej Kawiak, et al.
Frontiers in Human Neuroscience (2022) Vol. 16
Open Access | Times Cited: 9
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