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 C-Means-based Isolation Forest
Paweł Karczmarek, Adam Kiersztyn, Witold Pedrycz, et al.
Applied Soft Computing (2021) Vol. 106, pp. 107354-107354
Closed Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

A new method for fault detection of aero-engine based on isolation forest
Hongfei Wang, Wen Jiang, Xinyang Deng, et al.
Measurement (2021) Vol. 185, pp. 110064-110064
Closed Access | Times Cited: 44

Sparse random projection isolation forest for outlier detection
Xu Tan, Jiawei Yang, Susanto Rahardja
Pattern Recognition Letters (2022) Vol. 163, pp. 65-73
Closed Access | Times Cited: 27

Adaptive fuzzy multi-neighborhood feature selection with hybrid sampling and its application for class-imbalanced data
Lin Sun, Mengmeng Li, Weiping Ding, et al.
Applied Soft Computing (2023) Vol. 149, pp. 110968-110968
Closed Access | Times Cited: 13

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

Reject inference for default prediction based on three-way decision theory and bagging ensemble model: Evidence from Chinese MSEs
Zhe Li, Promise Li, Yuxin Hu, et al.
Expert Systems with Applications (2025), pp. 126448-126448
Closed Access

Data Integrity vs. Inference Accuracy in Large AIS Datasets
Adam Kiersztyn, Dariusz Czerwiński, Aneta Oniszczuk-Jastrząbek, et al.
(2025)
Open Access

Evaluation of hybrid forecasting methods for organic Rankine cycle: Unsupervised learning-based outlier removal and partial mutual information-based feature selection
Xu Ping, Fubin Yang, Hongguang Zhang, et al.
Applied Energy (2022) Vol. 311, pp. 118682-118682
Closed Access | Times Cited: 21

Data cleaning survey and challenges – improving outlier detection algorithm in machine learning
Sanae Borrohou, Rachida Fissoune, Hassan Badir
Journal of Smart Cities and Society (2023) Vol. 2, Iss. 3, pp. 125-140
Open Access | Times Cited: 9

Isolation Forest Based on Minimal Spanning Tree
Łukasz Gałka, Paweł Karczmarek, Mikhail Tokovarov
IEEE Access (2022) Vol. 10, pp. 74175-74186
Open Access | Times Cited: 12

An ensemble transfer learning for nutrient deficiency identification and yield-loss prediction in crop
Kummari Venkatesh, K. Jairam Naik
Multimedia Tools and Applications (2024) Vol. 83, Iss. 32, pp. 78535-78561
Closed Access | Times Cited: 2

Deterministic attribute selection for isolation forest
Łukasz Gałka, Paweł Karczmarek
Pattern Recognition (2024) Vol. 151, pp. 110395-110395
Closed Access | Times Cited: 2

Information theory-based dynamic feature capture and global multi-objective optimization approach for organic Rankine cycle (ORC) considering road environment
Xu Ping, Fubin Yang, Hongguang Zhang, et al.
Applied Energy (2023) Vol. 348, pp. 121569-121569
Closed Access | Times Cited: 5

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

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

Fuzzy anomaly scores for Isolation Forest
Kyoungok Kim
Applied Soft Computing (2024) Vol. 166, pp. 112193-112193
Closed Access | Times Cited: 1

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

Effective enhancement of isolation Forest method based on Minimal Spanning tree clustering
Łukasz Gałka, Paweł Karczmarek, Mikhail Tokovarov
Information Sciences (2023) Vol. 628, pp. 320-338
Closed Access | Times Cited: 4

Effectively predicting cyber‐attacks through isolation forest learning‐based outlier detection
Rony Chowdhury Ripan, Md. Moinul Islam, Hamed Alqahtani, et al.
Security and Privacy (2022) Vol. 5, Iss. 3
Closed Access | Times Cited: 7

An ensemble-based outlier detection method for clustered and local outliers with differential potential spread loss
Xin Gao, Jiahao Yu, Sen Zha, et al.
Knowledge-Based Systems (2022) Vol. 258, pp. 110003-110003
Closed Access | Times Cited: 7

Minimal spanning tree-based isolation forest with anomaly score function built on the basis of fuzzy rules
Łukasz Gałka, Paweł Karczmarek
Applied Soft Computing (2023) Vol. 148, pp. 110935-110935
Closed Access | Times Cited: 3

On a Combination of Clustering Methods and Isolation Forest
Michał Koziara, Paweł Karczmarek
Lecture notes in computer science (2023), pp. 114-126
Closed Access | Times Cited: 2

FUZZY C-MEANS Based Extended Isolation Forest for Anomaly Detection
Mniai Ayoub, Jebari Khalid, Paweł Karczmarek
Lecture notes in networks and systems (2023), pp. 411-418
Closed Access | Times Cited: 2

Choosing allowability boundaries for describing objects in subject areas
Musulmon Lolaev, Shavkat Madrakhimov, Kodirbek Makharov, et al.
IAES International Journal of Artificial Intelligence (2023) Vol. 13, Iss. 1, pp. 329-329
Open Access | Times Cited: 2

Anomaly Detection with Generalized Isolation Forest
Brett E. Downey, Carson K. Leung, Adam G.M. Pazdor, et al.
Lecture notes on data engineering and communications technologies (2024), pp. 356-368
Closed 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

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