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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:

A Systematic Review of Anomaly Detection for Business Process Event Logs
Jonghyeon Ko, Marco Comuzzi
Business & Information Systems Engineering (2023) Vol. 65, Iss. 4, pp. 441-462
Closed Access | Times Cited: 17

Showing 17 citing articles:

Machine learning in business process management: A systematic literature review
Sven Weinzierl, Sandra Zilker, Sebastian Dunzer, et al.
Expert Systems with Applications (2024) Vol. 253, pp. 124181-124181
Open Access | Times Cited: 9
Control-flow anomaly detection by process mining-based feature extraction and dimensionality reduction
Francesco Vitale, Marco Pegoraro, Wil M. P. van der Aalst, et al.
Knowledge-Based Systems (2025) Vol. 310, pp. 112970-112970
Open Access
ProcessM: Intelligent Process Mining software
Tomasz P. Pawlak, Jędrzej Potoniec
SoftwareX (2025) Vol. 30, pp. 102079-102079
Closed Access
Unsupervised Anomaly Detection of Prefixes in Event Streams Using Online Autoencoders
Zyrako Musaj, Marwan Hassani
Lecture notes in computer science (2025), pp. 93-110
Closed Access
Multi-Graph Anomaly Detection in Business Processes with Scalable Neural Architectures
S.T. Hsu, Ege Gülce, Teoman Berkay Ayaz, et al.
IEEE Access (2025) Vol. 13, pp. 34969-34984
Open Access
Detecting Anomalous Events in Object-Centric Business Processes via Graph Neural Networks
Alessandro Niro, Michael Werner
Lecture notes in business information processing (2024), pp. 179-190
Closed Access | Times Cited: 3
A Two-Level Fusion Framework for Cyber-Physical Anomaly Detection
Simone Guarino, Francesco Vitale, Francesco Flammini, et al.
IEEE Transactions on Industrial Cyber-Physical Systems (2023) Vol. 2, pp. 1-13
Open Access | Times Cited: 8
GAMA: A multi-graph-based anomaly detection framework for business processes via graph neural networks
Wei Guan, Jian Cao, Yang Gu, et al.
Information Systems (2024) Vol. 124, pp. 102405-102405
Open Access | Times Cited: 2
MADMM: microservice system anomaly detection via multi-modal data and multi-feature extraction
Peipeng Wang, Xiuguo Zhang, Zhiying Cao, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 25, pp. 15739-15757
Closed Access | Times Cited: 1
A Process Mining-based unsupervised Anomaly Detection technique for the Industrial Internet of Things
Francesco Vitale, Fabrizio De Vita, Nicola Mazzocca, et al.
Internet of Things (2023) Vol. 24, pp. 100993-100993
Open Access | Times Cited: 2
LogMS: a multi-stage log anomaly detection method based on multi-source information fusion and probability label estimation
Zhongjiang Yu, Yang Shao-ping, Zhong-tai LI, et al.
Frontiers in Physics (2024) Vol. 12
Open Access
Business Process Anomaly Detection and Root Cause Analysis Using BLSTM-VAE With Attention
Eman Abd El-Aziz, Radwa Fathalla, Yasser Ismail, et al.
IEEE Access (2024) Vol. 12, pp. 101390-101406
Open Access
Multivariate Anomaly Detection in Object-Centric Event Data
Luka Abb, Jana-Rebecca Rehse
Lecture notes in business information processing (2024), pp. 20-36
Closed Access
Data-driven assessment of business process resilience
A. Kraus, Jana-Rebecca Rehse, Han van der Aa
Deleted Journal (2024) Vol. 1, Iss. 1
Open Access
Navigating the moral maze: a literature review of ethical values in business process management
Christopher Julian Kern, Leo Poss, Julia Kroenung, et al.
Business Process Management Journal (2024) Vol. 30, Iss. 8, pp. 343-370
Open Access
Processm: Intelligent Process Mining Software
Tomasz P. Pawlak, Jędrzej Potoniec
(2024)
Closed Access
Learning Context-Based Representations of Events in Complex Processes
Pedro Gamallo-Fernandez, Juan C. Vidal, Manuel Lama
(2023), pp. 214-223
Closed Access
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