Open Access Helper

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:

Private Graph Data Release: A Survey
Yang Li, Michael Purcell, Thierry Rakotoarivelo, et al.
ACM Computing Surveys (2023) Vol. 55, Iss. 11, pp. 1-39
Open Access | Times Cited: 12

Showing 12 citing articles:

What drives MLOps adoption? An analysis using the TOE framework
Sibanjan Debeeprasad Das, Pradip Kumar Bala
Journal of Decision System (2023) Vol. 33, Iss. 3, pp. 376-412
Closed Access | Times Cited: 18
Leveraging synthetic data to tackle machine learning challenges in supply chains: challenges, methods, applications, and research opportunities
Y. F. Long, Sebastian Kroeger, Michael F. Zaeh, et al.
International Journal of Production Research (2025), pp. 1-22
Open Access
Temporal Variations Dataset for Indoor Environmental Parameters in Northern Saudi Arabia
Talal Alshammari, Rabie Α. Ramadan, Aakash Ahmad
Applied Sciences (2023) Vol. 13, Iss. 12, pp. 7326-7326
Open Access | Times Cited: 4
A Crypto-Assisted Approach for Publishing Graph Statistics with Node Local Differential Privacy
Shang Liu, Yang Cao, Takao Murakami, et al.
2021 IEEE International Conference on Big Data (Big Data) (2022), pp. 5765-5774
Open Access | Times Cited: 4
MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage
Ying Song, Balaji Palanisamy
Research Square (Research Square) (2024)
Open Access
Dpang-Gcn: Differentially Private Adaptive Noise Gradient for Graph Convolutional Network in Graph Classification
Yong Li, Kaiqi Gong, Songsong Liu, et al.
(2024)
Closed Access
A Privacy Preservation Method for Attributed Social Network Based on Negative Representation of Information
Hao Jiang, Yuerong Liao, Dongdong Zhao, et al.
Computer Modeling in Engineering & Sciences (2024) Vol. 140, Iss. 1, pp. 1045-1075
Open Access
Decentralized Privacy Preservation for Critical Connections in Graphs
Conggai Li, Wei Ni, Ming Ding, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 11, pp. 5911-5925
Open Access
MAPPING: debiasing graph neural networks for fair node classification with limited sensitive information leakage
Ying Song, Balaji Palanisamy
World Wide Web (2024) Vol. 27, Iss. 6
Closed Access
Toward Secure Graph Data Collaboration in a Data-Sharing-Free Manner: A Novel Privacy-Preserving Graph Pre-training Model
Jiarong Xu, Zenan Zhou, Jiaan Wang, et al.
SSRN Electronic Journal (2023)
Closed Access
The effect of distant connections on node anonymity in complex networks
Rachel G. de Jong, Mark van der Loo, Frank W. Takes
arXiv (Cornell University) (2023)
Open Access
Differentially Private Range Query on Shortest Paths
Chengyuan Deng, Jie Gao, Jalaj Upadhyay, et al.
Lecture notes in computer science (2023), pp. 340-370
Closed Access
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