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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:

Detection and Classification of Anomalies in Large Datasets on the Basis of Information Granules
Adam Kiersztyn, Paweł Karczmarek, Krystyna Kiersztyn, et al.
IEEE Transactions on Fuzzy Systems (2021) Vol. 30, Iss. 8, pp. 2850-2860
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Interpretable Anomaly Detection with DIFFI: Depth-based feature importance of Isolation Forest
Mattia Carletti, Matteo Terzi, Gian Antonio Susto
Engineering Applications of Artificial Intelligence (2022) Vol. 119, pp. 105730-105730
Closed Access | Times Cited: 66
Efficient density and cluster based incremental outlier detection in data streams
Ali Değırmencı, Ömer Karal
Information Sciences (2022) Vol. 607, pp. 901-920
Closed Access | Times Cited: 61
A probabilistic generalization of isolation forest
Mikhail Tokovarov, Paweł Karczmarek
Information Sciences (2021) Vol. 584, pp. 433-449
Open Access | Times Cited: 48
Random clustering-based outlier detector
Adam Kiersztyn, Dorota Pylak, Michał Horodelski, et al.
Information Sciences (2024) Vol. 667, pp. 120498-120498
Closed Access | Times Cited: 4
Data Integrity vs. Inference Accuracy in Large AIS Datasets
Adam Kiersztyn, Dariusz Czerwiński, Aneta Oniszczuk-Jastrząbek, et al.
(2025)
Open Access
The Use of Fuzzy Sets in the Classification of Metagenomic Data
Adam Kiersztyn, Krystyna Kiersztyn, Rafał Łopucki, et al.
Lecture notes in computer science (2025), pp. 104-113
Closed Access
Analyzing anomalies in industrial networks: A data-driven approach to enhance security in manufacturing processes
Karel Kuchař, Radek Fujdiak
Computers & Security (2025) Vol. 153, pp. 104395-104395
Closed Access
Valuation of marine areas for merchant shipping: an attempt at shipping spatial rent valuation based on Polish Marine Areas
Ernest Czermański, Jacek Zaucha, Aneta Oniszczuk-Jastrząbek, et al.
Frontiers in Marine Science (2024) Vol. 11
Open Access | Times Cited: 2
Takagi-Sugeno-Kang Fuzzy System Towards Label-scarce Incomplete Multi-View Data Classification
Wei Zhang, Zhaohong Deng, Qiongdan Lou, et al.
Information Sciences (2023) Vol. 647, pp. 119466-119466
Closed Access | Times Cited: 6
The use of information granules to detect anomalies in spatial behavior of animals
Adam Kiersztyn, Paweł Karczmarek, Rafał Łopucki, et al.
Ecological Indicators (2022) Vol. 136, pp. 108583-108583
Open Access | Times Cited: 8
Integrating granular computing with density estimation for anomaly detection in high-dimensional heterogeneous data
Baiyang Chen, Zhong Yuan, Dezhong Peng, et al.
Information Sciences (2024), pp. 121566-121566
Closed Access | Times Cited: 1
Choquet Integral-Based Aggregation for the Analysis of Anomalies Occurrence in Sustainable Transportation Systems
Paweł Karczmarek, Łukasz Gałka, Adam Kiersztyn, et al.
IEEE Transactions on Fuzzy Systems (2022) Vol. 31, Iss. 2, pp. 536-546
Closed Access | Times Cited: 7
A novel adaptive kernel-guided multi-condition abnormal data detection method
Qiqiang Wu, Xianmin Zhang, Bo Zhao
Measurement (2022) Vol. 206, pp. 112257-112257
Closed Access | Times Cited: 6
Optimal Window-Symbolic Time Series Analysis for Pattern Classification and Anomaly Detection
Ibrahim Fahad Jasim Ghalyan, Najah F. Ghalyan, Asok Ray
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 4, pp. 2614-2621
Closed Access | Times Cited: 8
Granular data representation under privacy protection: Tradeoff between data utility and privacy via information granularity
Ge Zhang, Xiubin Zhu, Yin Li, et al.
Applied Soft Computing (2022) Vol. 131, pp. 109808-109808
Closed Access | Times Cited: 4
Fuzzy Rule-based Outlier Detector
Krystyna Kiersztyn, Adam Kiersztyn
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (2022), pp. 1-7
Closed Access | Times Cited: 3
PRZEGLĄD OSIĄGNIĘĆ PRACOWNIKÓW POLITECHNIKI LUBELSKIEJ W DZIEDZINIE WYKORZYSTANIA ZBIORÓW ROZMYTYCH
Maciej Celiński, Adam Kiersztyn
Informatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska (2024) Vol. 14, Iss. 2, pp. 133-140
Open Access
KRF-AD: Innovating anomaly detection with KDE-KL and random forest fusion
G. Aarthi, S. Sharon Priya, W. Aisha Banu
Intelligent Decision Technologies (2024) Vol. 18, Iss. 3, pp. 2275-2287
Closed Access
A clustering algorithm for detecting differential deviations in the multivariate time-series IoT data based on sensor relationship
Rabbia Idrees, Ananda Maiti, Saurabh Garg
Knowledge and Information Systems (2024)
Closed Access
Classification of Complex Ecological Objects with the Use of Information Granules
Adam Kiersztyn, Krystyna Kiersztyn, Paweł Karczmarek, et al.
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (2021), pp. 1-6
Closed Access | Times Cited: 4
The Impact of Data Preprocessing on Prediction Effectiveness
Adam Kiersztyn, Krystyna Kiersztyn
Lecture notes in computer science (2023), pp. 353-362
Closed Access
A dynamic programming-based data-adaptive information granulation approach and its distributed implementation
Yashuang Mu, Kai Hou, Zihao Zhang, et al.
Applied Intelligence (2023) Vol. 53, Iss. 20, pp. 24217-24236
Closed Access
An Application of Fuzzy Techniques to Predict the Polymorphism of Selected Microsatellite Sequences
Adam Kiersztyn, Krystyna Kiersztyn, Grzegorz Panasiewicz, et al.
Lecture notes in computer science (2023), pp. 123-133
Closed Access
The Concept of a City Bike Network Management System Using Fuzzy Sets
Adam Kiersztyn, Krystyna Kiersztyn, Michał Dolecki
(2023), pp. 1-6
Closed Access
Application of association rules in filling gaps in survey data
K Z
Scientific Papers of Silesian University of Technology Organization and Management Series (2023) Vol. 2023, Iss. 184
Open Access
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