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:
Graph Learning for Fake Review Detection
Shuo Yu, Jing Ren, Shihao Li, et al.
Frontiers in Artificial Intelligence (2022) Vol. 5
Open Access | Times Cited: 15
Shuo Yu, Jing Ren, Shihao Li, et al.
Frontiers in Artificial Intelligence (2022) Vol. 5
Open Access | Times Cited: 15
Showing 15 citing articles:
Financial fraud detection using quantum graph neural networks
Nouhaila Innan, Abhishek Sawaika, Ashim Dhor, et al.
Quantum Machine Intelligence (2024) Vol. 6, Iss. 1
Closed Access | Times Cited: 21
Nouhaila Innan, Abhishek Sawaika, Ashim Dhor, et al.
Quantum Machine Intelligence (2024) Vol. 6, Iss. 1
Closed Access | Times Cited: 21
Fake review detection techniques, issues, and future research directions: a literature review
Ramadhani Ally Duma, Zhendong Niu, Ally S. Nyamawe, et al.
Knowledge and Information Systems (2024) Vol. 66, Iss. 9, pp. 5071-5112
Closed Access | Times Cited: 6
Ramadhani Ally Duma, Zhendong Niu, Ally S. Nyamawe, et al.
Knowledge and Information Systems (2024) Vol. 66, Iss. 9, pp. 5071-5112
Closed Access | Times Cited: 6
An analysis of graph neural networks for fake review detection: A systematic literature review
Ramadhani Ally Duma, Zhendong Niu, Ally S. Nyamawe, et al.
Neurocomputing (2025), pp. 129341-129341
Closed Access
Ramadhani Ally Duma, Zhendong Niu, Ally S. Nyamawe, et al.
Neurocomputing (2025), pp. 129341-129341
Closed Access
Fraud detection at eBay
Susie Xi Rao, Zhichao Han, Hang Yin, et al.
Emerging Markets Review (2025), pp. 101277-101277
Closed Access
Susie Xi Rao, Zhichao Han, Hang Yin, et al.
Emerging Markets Review (2025), pp. 101277-101277
Closed Access
Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges
Jing Ren, Feng Xia, Ivan Lee, et al.
ACM Transactions on Intelligent Systems and Technology (2022) Vol. 14, Iss. 2, pp. 1-29
Open Access | Times Cited: 22
Jing Ren, Feng Xia, Ivan Lee, et al.
ACM Transactions on Intelligent Systems and Technology (2022) Vol. 14, Iss. 2, pp. 1-29
Open Access | Times Cited: 22
RHGNN: Fake reviewer detection based on reinforced heterogeneous graph neural networks
Jun Zhao, Minglai Shao, Hailiang Tang, et al.
Knowledge-Based Systems (2023) Vol. 280, pp. 111029-111029
Closed Access | Times Cited: 13
Jun Zhao, Minglai Shao, Hailiang Tang, et al.
Knowledge-Based Systems (2023) Vol. 280, pp. 111029-111029
Closed Access | Times Cited: 13
Node embedding approach for accurate detection of fake reviews: a graph-based machine learning approach with explainable AI
Nazar Zaki, Anusuya Krishnan, Sherzod Turaev, et al.
International Journal of Data Science and Analytics (2024) Vol. 18, Iss. 3, pp. 295-315
Closed Access | Times Cited: 4
Nazar Zaki, Anusuya Krishnan, Sherzod Turaev, et al.
International Journal of Data Science and Analytics (2024) Vol. 18, Iss. 3, pp. 295-315
Closed Access | Times Cited: 4
Node Embedding Approach for Accurate Detection of Fake Reviews: A Graph-Based Machine Learning Approach with Explainable AI
Nazar Zaki, Anusuya Krishnan, Sherzod Turaev, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 4
Nazar Zaki, Anusuya Krishnan, Sherzod Turaev, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 4
A deep feature interaction and fusion model for fake review detection: Advocating heterogeneous graph convolutional network
Ramadhani Ally Duma, Zhendong Niu, Ally S. Nyamawe, et al.
Neurocomputing (2024) Vol. 598, pp. 128097-128097
Closed Access | Times Cited: 1
Ramadhani Ally Duma, Zhendong Niu, Ally S. Nyamawe, et al.
Neurocomputing (2024) Vol. 598, pp. 128097-128097
Closed Access | Times Cited: 1
A novel ensemble model for detecting fake news
Nissrine Bensouda, Sanaa El Fkihi, Rdouan Faizi
IAES International Journal of Artificial Intelligence (2023) Vol. 13, Iss. 1, pp. 1160-1160
Open Access | Times Cited: 2
Nissrine Bensouda, Sanaa El Fkihi, Rdouan Faizi
IAES International Journal of Artificial Intelligence (2023) Vol. 13, Iss. 1, pp. 1160-1160
Open Access | Times Cited: 2
Comparing the efficiency of K nearest neighbor and Naive Bayes for classifying anonymous spam
Kummuneni Naveen Kumar, V Sheeja Kumari, S. Ramesh
AIP conference proceedings (2024) Vol. 3168, pp. 020032-020032
Closed Access
Kummuneni Naveen Kumar, V Sheeja Kumari, S. Ramesh
AIP conference proceedings (2024) Vol. 3168, pp. 020032-020032
Closed Access
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
Samia M. Abd-Alhalem, Hesham Ali, Naglaa F. Soliman, et al.
IEEE Access (2024) Vol. 12, pp. 116055-116070
Open Access
Fake It Till You Make It—A Statistical Assessment of the Proportion of Fake Reviews in Closed Reputation Systems
Florian Schneider, Timm Teubner
International Journal of Electronic Commerce (2024) Vol. 28, Iss. 4, pp. 450-480
Open Access
Florian Schneider, Timm Teubner
International Journal of Electronic Commerce (2024) Vol. 28, Iss. 4, pp. 450-480
Open Access
EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection
Jing Ren, Mingliang Hou, Zhixuan Liu, et al.
IEEE Intelligent Systems (2022) Vol. 38, Iss. 2, pp. 55-63
Closed Access | Times Cited: 1
Jing Ren, Mingliang Hou, Zhixuan Liu, et al.
IEEE Intelligent Systems (2022) Vol. 38, Iss. 2, pp. 55-63
Closed Access | Times Cited: 1
A Machine Learning Approach to Prediction of Online Reviews Reliability
Giuseppe Sansonetti, Fabio Gasparetti, Alessandro Micarelli
Lecture notes in computer science (2023), pp. 131-145
Closed Access
Giuseppe Sansonetti, Fabio Gasparetti, Alessandro Micarelli
Lecture notes in computer science (2023), pp. 131-145
Closed Access
