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:

Local outlier detection reconsidered: a generalized view on locality with applications to spatial, video, and network outlier detection
Erich Schubert, Arthur Zimek, Hans‐Peter Kriegel
Data Mining and Knowledge Discovery (2012) Vol. 28, Iss. 1, pp. 190-237
Closed Access | Times Cited: 278

Showing 1-25 of 278 citing articles:

Graph based anomaly detection and description: a survey
Leman Akoglu, Hanghang Tong, Danai Koutra
Data Mining and Knowledge Discovery (2014) Vol. 29, Iss. 3, pp. 626-688
Closed Access | Times Cited: 1238

A Unifying Review of Deep and Shallow Anomaly Detection
Lukas Ruff, Jacob Kauffmann, Robert A. Vandermeulen, et al.
Proceedings of the IEEE (2021) Vol. 109, Iss. 5, pp. 756-795
Open Access | Times Cited: 695

Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection
Ricardo J. G. B. Campello, Davoud Moulavi, Arthur Zimek, et al.
ACM Transactions on Knowledge Discovery from Data (2015) Vol. 10, Iss. 1, pp. 1-51
Closed Access | Times Cited: 654

On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study
Guilherme O. Campos, Arthur Zimek, Jörg Sander, et al.
Data Mining and Knowledge Discovery (2016) Vol. 30, Iss. 4, pp. 891-927
Closed Access | Times Cited: 649

Efficient GAN-Based Anomaly Detection
Houssam Zenati, Chuan-Sheng Foo, Bruno Lecouat, et al.
arXiv (Cornell University) (2018)
Open Access | Times Cited: 487

Progress in Outlier Detection Techniques: A Survey
Hongzhi Wang, Mohamed Jaward Bah, Mohamed Hammad
IEEE Access (2019) Vol. 7, pp. 107964-108000
Open Access | Times Cited: 428

Adversarially Learned Anomaly Detection
Houssam Zenati, Manon Romain, Chuan-Sheng Foo, et al.
2021 IEEE International Conference on Data Mining (ICDM) (2018), pp. 727-736
Open Access | Times Cited: 349

Geographic Data Mining and Knowledge Discovery
Harvey J. Miller, Jiawei Han
CRC Press eBooks (2009)
Open Access | Times Cited: 341

Ensembles for unsupervised outlier detection
Arthur Zimek, Ricardo J. G. B. Campello, Jörg Sander
ACM SIGKDD Explorations Newsletter (2014) Vol. 15, Iss. 1, pp. 11-22
Closed Access | Times Cited: 248

Reverse Nearest Neighbors in Unsupervised Distance-Based Outlier Detection
Miloš Radovanović, Αλέξανδρος Νανόπουλος, Mirjana Ivanović
IEEE Transactions on Knowledge and Data Engineering (2014) Vol. 27, Iss. 5, pp. 1369-1382
Closed Access | Times Cited: 226

The (black) art of runtime evaluation: Are we comparing algorithms or implementations?
Hans‐Peter Kriegel, Erich Schubert, Arthur Zimek
Knowledge and Information Systems (2016) Vol. 52, Iss. 2, pp. 341-378
Closed Access | Times Cited: 213

Spatiotemporal Data Mining: A Computational Perspective
Shashi Shekhar, Zhe Jiang, Reem Y. Ali, et al.
ISPRS International Journal of Geo-Information (2015) Vol. 4, Iss. 4, pp. 2306-2338
Open Access | Times Cited: 188

There and back again: Outlier detection between statistical reasoning and data mining algorithms
Arthur Zimek, Peter Filzmoser
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2018) Vol. 8, Iss. 6
Open Access | Times Cited: 169

Outlier detection and robust normal-curvature estimation in mobile laser scanning 3D point cloud data
Abdul Nurunnabi, Geoff West, David Belton
Pattern Recognition (2014) Vol. 48, Iss. 4, pp. 1404-1419
Open Access | Times Cited: 183

Subsampling for efficient and effective unsupervised outlier detection ensembles
Arthur Zimek, Matthew Gaudet, Ricardo J. G. B. Campello, et al.
(2013)
Open Access | Times Cited: 182

Generalized Outlier Detection with Flexible Kernel Density Estimates
Erich Schubert, Arthur Zimek, Hans‐Peter Kriegel
(2014)
Open Access | Times Cited: 143

Fast Memory Efficient Local Outlier Detection in Data Streams
Mahsa Salehi, Christopher Leckie, James C. Bezdek, et al.
IEEE Transactions on Knowledge and Data Engineering (2016) Vol. 28, Iss. 12, pp. 3246-3260
Closed Access | Times Cited: 142

Chemoinformatic Classification Methods and their Applicability Domain
Miriam Mathea, Waldemar Klingspohn, Knut Baumann
Molecular Informatics (2016) Vol. 35, Iss. 5, pp. 160-180
Open Access | Times Cited: 138

Spatial anomaly detection in sensor networks using neighborhood information
H.H.W.J. Bosman, Giovanni Iacca, Arturo Tejada, et al.
Information Fusion (2016) Vol. 33, pp. 41-56
Open Access | Times Cited: 131

Isolation‐based anomaly detection using nearest‐neighbor ensembles
Tharindu Bandaragoda, Kai Ming Ting, David Albrecht, et al.
Computational Intelligence (2018) Vol. 34, Iss. 4, pp. 968-998
Closed Access | Times Cited: 125

LSCP: Locally Selective Combination in Parallel Outlier Ensembles
Yue Zhao, Zain Nasrullah, Maciej K. Hryniewicki, et al.
Society for Industrial and Applied Mathematics eBooks (2019), pp. 585-593
Open Access | Times Cited: 122

Adaptive kernel density-based anomaly detection for nonlinear systems
Liangwei Zhang, Jing Lin, Ramin Karim
Knowledge-Based Systems (2017) Vol. 139, pp. 50-63
Open Access | Times Cited: 120

Assessment of Data Suitability for Machine Prognosis Using Maximum Mean Discrepancy
Xiaodong Jia, Ming Zhao, Di Yuan, et al.
IEEE Transactions on Industrial Electronics (2017) Vol. 65, Iss. 7, pp. 5872-5881
Closed Access | Times Cited: 110

A Survey on Urban Traffic Anomalies Detection Algorithms
Youcef Djenouri, Asma Belhadi, Jerry Chun‐Wei Lin, et al.
IEEE Access (2019) Vol. 7, pp. 12192-12205
Open Access | Times Cited: 108

Adapted K-Nearest Neighbors for Detecting Anomalies on Spatio–Temporal Traffic Flow
Youcef Djenouri, Asma Belhadi, Jerry Chun‐Wei Lin, et al.
IEEE Access (2019) Vol. 7, pp. 10015-10027
Open Access | Times Cited: 103

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