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:

Fuzzy Isolation Forest for Anomaly Detection
Meriem Chater, Amel Borgi, Mohamed Taieb Slama, et al.
Procedia Computer Science (2022) Vol. 207, pp. 916-925
Open Access | Times Cited: 8

Showing 8 citing articles:

Integrating Embedding and LSHiForest in English Text Anomaly Detection
Qing‐Xiao Tong, Rongju Yao
Concurrency and Computation Practice and Experience (2025) Vol. 37, Iss. 3
Closed Access

Real-time anomaly detection on time series of industrial furnaces: A comparison of autoencoder architectures
Marco Pota, Giuseppe De Pietro, Massimo Esposito
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106597-106597
Open Access | Times Cited: 15

Comparative Analysis Between Fuzzy Theorem and KNN Methodology for Fault and Anomaly Detection
Anubhav Dogra, Vinayak Kumawat, Neetu Gupta
(2025), pp. 25-38
Closed Access

A comparative study of feature selection and feature extraction methods for financial distress identification
Dovilė Kuizinienė, Paulius Savickas, Rimantė Kunickaitė, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1956-e1956
Open Access

Reliability Evaluation of Advanced Metering Infrastructure Based on Isolation Forest Anomalies Detection
Hadi Christian, Justin Pradipta, Irsyad Nashirul Haq, et al.
(2024), pp. 1-7
Closed Access

Detecting Anomalies for corn crop disease using Isolation forest
K. Sowmiya, M. Thenmozhi
(2023) Vol. 119, pp. 1-7
Closed Access | Times Cited: 1

Innovative Analytical and Statistical Technology in Election Forensics
Yuliia Yatsyna, Igor Kudinov
Regional Formation and Development Studies (2023), pp. 28-42
Open Access

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