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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:

Identifying hidden patterns of fake COVID-19 news: An in-depth sentiment analysis and topic modeling approach
Tanvir Ahammad
Natural Language Processing Journal (2024) Vol. 6, pp. 100053-100053
Open Access | Times Cited: 12

Showing 12 citing articles:

Advanced AI Applications for Drug Discovery
Bancha Yingngam, Benjabhorn Sethabouppha
Advances in medical technologies and clinical practice book series (2024), pp. 42-86
Closed Access | Times Cited: 4
Enhanced Sentiment Analysis and Topic Modeling during the Pandemic using Automated Latent Dirichlet Allocation
Amreen Batool, Yung-Cheol Byun
IEEE Access (2024) Vol. 12, pp. 81206-81220
Open Access | Times Cited: 4
Performance Comparison of Text Weighting Schemas on NMF-Based Topic Analysis
Tolga Berber, Melek Eriş Büyükkaya
Deu Muhendislik Fakultesi Fen ve Muhendislik (2025) Vol. 27, Iss. 79, pp. 46-53
Closed Access
Longitudinal analysis of Covid-19 vaccine-related tweets in india: linking sentiment fluctuations with topic modeling
Seba Susan, Anmol Bansal, Arjun Choudhry, et al.
Social Network Analysis and Mining (2025) Vol. 15, Iss. 1
Open Access
Cutting through the noise to motivate people: A comprehensive analysis of COVID-19 social media posts de/motivating vaccination
Ashiqur Rahman, Ehsan Mohammadi, Hamed Alhoori
Natural Language Processing Journal (2024) Vol. 8, pp. 100085-100085
Open Access | Times Cited: 1
Topic specificity: A descriptive metric for algorithm selection and finding the right number of topics
Emil Rijcken, Kalliopi Zervanou, Pablo Mosteiro, et al.
Natural Language Processing Journal (2024) Vol. 8, pp. 100082-100082
Open Access
An Evolutionary Embedded Model Fake News Detector Using an Optimized Support Vectors Machines
Ala’ M. Al-Zoubi, Mohammad A. Hassonah, Laila Al-Qaisi, et al.
Authorea (Authorea) (2024)
Open Access
OLTW-TEC: online learning with sliding windows for text classifier ensembles
Khrystyna Lipianina-Honcharenko, Yevgeniy Bodyanskiy, Nataliia Kustra, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access
Analysing Psychological Sentiment Prediction Across Modalities: Harnessing Emotion Datasets within Natural Language Processing (NLP)
N Li, Rong Kong
ACM Transactions on Asian and Low-Resource Language Information Processing (2024)
Closed Access
Decoding Online Narratives and Unraveling Complexities in the Rohingya Refugee Crisis
Tanvir Ahammad, S Mansour Ahmed, Selina Sharmin
Social Media + Society (2024) Vol. 10, Iss. 4
Open Access
DFN-SCNC: Detecting Fake News based on Social Context and News Content: A Hybrid Approach using BERT and Bi-GRU
Sara Safdar, Muhammad Wasim
(2024), pp. 1-6
Closed Access
Labeled data and models for COVID-19 vaccine related tweets with stance, location, and topics
Anonymous Anonymous
Zenodo (CERN European Organization for Nuclear Research) (2022)
Open Access
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