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:

Online and Unsupervised Anomaly Detection for Streaming Data Using an Array of Sliding Windows and PDDs
Lingyu Zhang, Jiabao Zhao, Wei Li
IEEE Transactions on Cybernetics (2019) Vol. 51, Iss. 4, pp. 2284-2289
Closed Access | Times Cited: 44

Showing 1-25 of 44 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

Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks
Piotr S. Maciąg, Marzena Kryszkiewicz, Robert Bembenik, et al.
Neural Networks (2021) Vol. 139, pp. 118-139
Open Access | Times Cited: 48

Pneumonia detection based on RSNA dataset and anchor-free deep learning detector
Linghua Wu, Jing Zhang, Yilin Wang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5

Weakly Supervised Video Anomaly Detection via Self-Guided Temporal Discriminative Transformer
Chao Huang, Chengliang Liu, Jie Wen, et al.
IEEE Transactions on Cybernetics (2022) Vol. 54, Iss. 5, pp. 3197-3210
Closed Access | Times Cited: 25

Anomaly detection for streaming data based on grid-clustering and Gaussian distribution
Beiji Zou, Kangkang Yang, Xiaoyan Kui, et al.
Information Sciences (2023) Vol. 638, pp. 118989-118989
Closed Access | Times Cited: 14

Discovering temporal, spatial, and contextual anomalous social activities from streaming social media datasets
Mete Çelik, Ahmet Şakir Dokuz, Alper Ecemiş, et al.
Engineering Science and Technology an International Journal (2025) Vol. 64, pp. 102006-102006
Closed Access

Unsupervised Deep Multitask Anomaly Detection With Robust Alarm Strategy for Online Evaluation of Bearing Early Fault Occurrence
Wentao Mao, Huadong Shi, Gangsheng Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-13
Closed Access | Times Cited: 19

Double locality sensitive hashing Bloom filter for high-dimensional streaming anomaly detection
Zhixia Zeng, Ruliang Xiao, Xinhong Lin, et al.
Information Processing & Management (2023) Vol. 60, Iss. 3, pp. 103306-103306
Closed Access | Times Cited: 11

Distributed Online Anomaly Detection for Virtualized Network Slicing Environment
Weili Wang, Chengchao Liang, Qianbin Chen, et al.
IEEE Transactions on Vehicular Technology (2022) Vol. 71, Iss. 11, pp. 12235-12249
Open Access | Times Cited: 18

Memory Shapelet Learning for Early Classification of Streaming Time Series
Xiaoxue Wan, Lihui Cen, Xiaofang Chen, et al.
IEEE Transactions on Cybernetics (2023) Vol. 54, Iss. 5, pp. 2757-2770
Closed Access | Times Cited: 10

Label-Free Multivariate Time Series Anomaly Detection
Qihang Zhou, Shibo He, Haoyu Liu, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 7, pp. 3166-3179
Open Access | Times Cited: 3

Detecting Multivariate Time Series Anomalies with Zero Known Label
Qihang Zhou, Jiming Chen, Haoyu Liu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 4, pp. 4963-4971
Open Access | Times Cited: 8

Concept Drift Detection Based on Typicality and Eccentricity
Yuri Thomas Pinheiro Nunes, Luiz Affonso Guedes
IEEE Access (2024) Vol. 12, pp. 13795-13808
Open Access | Times Cited: 2

Unsupervised anomaly detection of multivariate time series based on multi-standard fusion
Huixin Tian, Hao Kong, Shikang Lu, et al.
Neurocomputing (2024), pp. 128634-128634
Closed Access | Times Cited: 1

Predicting quality decay in continuously passaged mesenchymal stem cells by detecting morphological anomalies
Yuto Takemoto, Yuta Imai, Kei Kanie, et al.
Journal of Bioscience and Bioengineering (2020) Vol. 131, Iss. 2, pp. 198-206
Closed Access | Times Cited: 12

A robust supervised subspace learning approach for output-relevant prediction and detection against outliers
Wenqing Li, Yue Wang
Journal of Process Control (2021) Vol. 106, pp. 184-194
Closed Access | Times Cited: 11

Searching Density-Increasing Path to Local Density Peaks for Unsupervised Anomaly Detection
Jiachen Zhao, Fang Deng, Jiaqi Zhu, et al.
IEEE Transactions on Big Data (2023) Vol. 9, Iss. 4, pp. 1198-1209
Closed Access | Times Cited: 4

Adversarial Data Augmentation for HMM-Based Anomaly Detection
Alberto Castellini, Francesco Masillo, Davide Azzalini, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 45, Iss. 12, pp. 14131-14143
Open Access | Times Cited: 4

Satellite Unsupervised Anomaly Detection Based on Deconvolution-Reconstructed Temporal Convolutional Autoencoder
Haotian Zhao, Ming Liu, Shi Qiu, et al.
IEEE Transactions on Consumer Electronics (2023) Vol. 70, Iss. 1, pp. 2989-2998
Closed Access | Times Cited: 4

Interpretable Anomaly Detection with DIFFI: Depth-based Isolation Forest Feature Importance
Mattia Carletti, Matteo Terzi, Gian Antonio Susto
arXiv (Cornell University) (2020)
Open Access | Times Cited: 11

Learning-Aided Asynchronous ADMM for Optimal Power Flow
Ali Mohammadi, Amin Kargarian
IEEE Transactions on Power Systems (2021) Vol. 37, Iss. 3, pp. 1671-1681
Open Access | Times Cited: 9

Self-Supervised Deep Clustering Method for Detecting Abnormal Data of Wastewater Treatment Process
Honggui Han, Meiting Sun, Fangyu Li, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 2, pp. 1155-1166
Closed Access | Times Cited: 3

Fuzzy Rank Based Parallel Online Feature Selection Method using Multiple Sliding Windows
B. Venkatesh, J. Anuradha
Open Computer Science (2021) Vol. 11, Iss. 1, pp. 275-287
Open Access | Times Cited: 8

Addressing Concept Drifts Using Deep Learning for Heart Disease Prediction: A Review
Ketan Sanjay Desale, Swati Shinde
Advances in intelligent systems and computing (2021), pp. 157-167
Closed Access | Times Cited: 7

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