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:

An explainable ensemble of multi-view deep learning model for fake review detection
Rami Mohawesh, Shuxiang Xu, Matthew Springer, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 8, pp. 101644-101644
Open Access | Times Cited: 8

Showing 8 citing articles:

Foundation and large language models: fundamentals, challenges, opportunities, and social impacts
Devon Myers, Rami Mohawesh, Venkata Ishwarya Chellaboina, et al.
Cluster Computing (2023) Vol. 27, Iss. 1, pp. 1-26
Closed Access | Times Cited: 51

Fake review detection using transformer-based enhanced LSTM and RoBERTa
Rami Mohawesh, Haythem Bany Salameh, Yaser Jararweh, et al.
International Journal of Cognitive Computing in Engineering (2024) Vol. 5, pp. 250-258
Open Access | Times Cited: 6

A Comprehensive Survey of Fake Review Detection Technology
Tayybaha Quyyam, Qicheng Yu
Smart innovation, systems and technologies (2025), pp. 57-72
Closed Access

Stacking GA 2 M for inherently interpretable fraudulent reviewer identification by fusing target and non-target features
Wen Zhang, Xuan Zhang, Jindong Chen, et al.
International Journal of General Systems (2024), pp. 1-36
Closed Access | Times Cited: 3

Leveraging Stacking Framework for Fake Review Detection in the Hospitality Sector
Syed Abdullah Ashraf, Aariz Faizan Javed, Sreevatsa Bellary, et al.
Journal of theoretical and applied electronic commerce research (2024) Vol. 19, Iss. 2, pp. 1517-1558
Open Access | Times Cited: 1

Advancing E-Commerce Authenticity: A Novel Fusion Approach Based on Deep Learning and Aspect Features for Detecting False Reviews
Samia M. Abd-Alhalem, Hesham Ali, Naglaa F. Soliman, et al.
IEEE Access (2024) Vol. 12, pp. 116055-116070
Open Access

Towards Effective Local Financial Cybercrime Detection using Machine Learning
Marouane Dirchaoui, Abdallah Abarda
(2024), pp. 1-6
Closed Access

Building Trust in Online Reviews by Mixing Automation and Decentralization: A Review
Km Ritu, Monika Saxena
SSRN Electronic Journal (2023)
Closed Access

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