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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:

Spectral ranking and unsupervised feature selection for point, collective, and contextual anomaly detection
Haofan Zhang, Ke Nian, Thomas F. Coleman, et al.
International Journal of Data Science and Analytics (2018) Vol. 9, Iss. 1, pp. 57-75
Closed Access | Times Cited: 11

Showing 11 citing articles:

Anomalous Example Detection in Deep Learning: A Survey
Saikiran Bulusu, Bhavya Kailkhura, Bo Li, et al.
IEEE Access (2020) Vol. 8, pp. 132330-132347
Open Access | Times Cited: 153
On the Improvement of the Isolation Forest Algorithm for Outlier Detection with Streaming Data
Michael Heigl, K. Anand, Andreas Urmann, et al.
Electronics (2021) Vol. 10, Iss. 13, pp. 1534-1534
Open Access | Times Cited: 35
Unsupervised online detection and prediction of outliers in streams of sensor data
Niko Reunanen, Tomi Räty, Juho J. Jokinen, et al.
International Journal of Data Science and Analytics (2019) Vol. 9, Iss. 3, pp. 285-314
Open Access | Times Cited: 32
Anomalous Instance Detection in Deep Learning: A Survey.
Saikiran Bulusu, Bhavya Kailkhura, Bo Li, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 31
Hybrid and co-learning approach for anomalies prediction and explanation of wind turbine systems
Lala Rajaoarisoa, Michał Kuk, Szymon Bobek, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108046-108046
Closed Access | Times Cited: 3
Learning with Hilbert–Schmidt independence criterion: A review and new perspectives
Tinghua Wang, Xiaolu Dai, Yuze Liu
Knowledge-Based Systems (2021) Vol. 234, pp. 107567-107567
Closed Access | Times Cited: 22
Anomalous Example Detection in Deep Learning: A Survey
Saikiran Bulusu, Bhavya Kailkhura, Bo Li, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 9
Unsupervised Feature Selection for Outlier Detection on Streaming Data to Enhance Network Security
Michael Heigl, Enrico Weigelt, Dalibor Fiala, et al.
Applied Sciences (2021) Vol. 11, Iss. 24, pp. 12073-12073
Open Access | Times Cited: 8
Wind Turbine Generator Bearing Anomaly Detection and Explanation Using RRCF Approach
Raubertin Randrianandraina, Julien Chapuy, Lala Rajaoarisoa, et al.
(2023), pp. 1574-1581
Closed Access | Times Cited: 1
An Overview of Outliers and Detection Methods in General for Time Series from IoT Devices
Bin Sun, Liyao Ma
Advances in intelligent systems and computing (2020), pp. 1180-1186
Closed Access | Times Cited: 3
Fraud Analytics: A Decade of Research -- Organizing Challenges and Solutions in the Field
Christopher Bockel-Rickermann, Tim Verdonck, Wouter Verbeke
arXiv (Cornell University) (2022)
Open Access | Times Cited: 2
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