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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:

Feature Encoding With Autoencoders for Weakly Supervised Anomaly Detection
Yingjie Zhou, Xucheng Song, Yanru Zhang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 6, pp. 2454-2465
Open Access | Times Cited: 99

Showing 1-25 of 99 citing articles:

Weakly supervised machine learning
Zeyu Ren, Shuihua Wang‎, Yudong Zhang
CAAI Transactions on Intelligence Technology (2023) Vol. 8, Iss. 3, pp. 549-580
Open Access | Times Cited: 82
Deep Weakly-supervised Anomaly Detection
Guansong Pang, Chunhua Shen, Huidong Jin, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 1795-1807
Open Access | Times Cited: 44
Semi-supervised multivariate time series anomaly detection for wind turbines using generator SCADA data
Minglei Zheng, Junfeng Man, Dian Wang, et al.
Reliability Engineering & System Safety (2023) Vol. 235, pp. 109235-109235
Closed Access | Times Cited: 43
Towards more reliable photovoltaic energy conversion systems: A weakly-supervised learning perspective on anomaly detection
Zhonghao Chang, Kaiwen Jia, Te Han, et al.
Energy Conversion and Management (2024) Vol. 316, pp. 118845-118845
Closed Access | Times Cited: 16
A real-time electrical load forecasting and unsupervised anomaly detection framework
Xinlin Wang, Zhihao Yao, Marios Papaefthymiou
Applied Energy (2022) Vol. 330, pp. 120279-120279
Open Access | Times Cited: 51
DTAAD: Dual Tcn-attention networks for anomaly detection in multivariate time series data
Lingrui Yu, Qiuhong Lu, Yang Xue
Knowledge-Based Systems (2024) Vol. 295, pp. 111849-111849
Open Access | Times Cited: 9
Unsupervised anomaly detection in time-series: An extensive evaluation and analysis of state-of-the-art methods
Nesryne Mejri, Laura Lopez-Fuentes, Kankana Roy, et al.
Expert Systems with Applications (2024) Vol. 256, pp. 124922-124922
Open Access | Times Cited: 8
Trustworthy AI-based Performance Diagnosis Systems for Cloud Applications: A Review
Ruyue Xin, Jingye Wang, Peng Chen, et al.
ACM Computing Surveys (2025) Vol. 57, Iss. 5, pp. 1-37
Open Access | Times Cited: 1
RoSAS: Deep semi-supervised anomaly detection with contamination-resilient continuous supervision
Hongzuo Xu, Yijie Wang, Guansong Pang, et al.
Information Processing & Management (2023) Vol. 60, Iss. 5, pp. 103459-103459
Open Access | Times Cited: 21
Unsupervised Deep Learning for IoT Time Series
Ya Liu, Yingjie Zhou, Kai Yang, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 16, pp. 14285-14306
Open Access | Times Cited: 19
Semi-Supervised Anomaly Detection Via Neural Process
Fan Zhou, Guanyu Wang, Kunpeng Zhang, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 35, Iss. 10, pp. 10423-10435
Closed Access | Times Cited: 16
Enhanced Pseudo-Label Generation With Self-Supervised Training for Weakly- Supervised Semantic Segmentation
Zhen Qin, Yujie Chen, Guosong Zhu, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2024) Vol. 34, Iss. 8, pp. 7017-7028
Closed Access | Times Cited: 6
Consistency-guided semi-supervised outlier detection in heterogeneous data using fuzzy rough sets
Baiyang Chen, Zhong Yuan, Dezhong Peng, et al.
Applied Soft Computing (2024) Vol. 165, pp. 112070-112070
Closed Access | Times Cited: 6
Anomaly Detection for Agricultural Vehicles Using Autoencoders
Esma Mujkic, Mark Philip Philipsen, Thomas B. Moeslund, et al.
Sensors (2022) Vol. 22, Iss. 10, pp. 3608-3608
Open Access | Times Cited: 25
A Comprehensive Survey of Machine Learning Methods for Surveillance Videos Anomaly Detection
Nomica Choudhry, Jemal Abawajy, Shamsul Huda, et al.
IEEE Access (2023) Vol. 11, pp. 114680-114713
Open Access | Times Cited: 14
FADngs: Federated Learning for Anomaly Detection
Boyu Dong, Dong Chen, Yu Wu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 36, Iss. 2, pp. 2578-2592
Closed Access | Times Cited: 5
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
Outlier detection in mixed-attribute data: a semi-supervised approach with fuzzy approximations and relative entropy
Baiyang Chen, Zhong Yuan, Zheng Liu, et al.
International Journal of Approximate Reasoning (2025), pp. 109373-109373
Closed Access
An Efficient Incentive Mechanism for Collaborative Anomaly Detection in Internet of Things
W.F. He⁎, J Li, Cheng Qiao, et al.
Lecture notes in computer science (2025), pp. 363-371
Closed Access
Ground Truth-Free 3-D Seismic Random Noise Attenuation via Deep Tensor Convolutional Neural Networks in the Time-Frequency Domain
Feng Qian, Zhangbo Liu, Yan Wang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-17
Closed Access | Times Cited: 20
Privacy-Preserving Anomaly Detection in Cloud Manufacturing Via Federated Transformer
Shiyao Ma, Jiangtian Nie, Jiawen Kang, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 18, Iss. 12, pp. 8977-8987
Open Access | Times Cited: 18
A self-supervised algorithm to detect signs of social isolation in the elderly from daily activity sequences
Bardh Prenkaj, Dario Aragona, Alessandro Flaborea, et al.
Artificial Intelligence in Medicine (2022) Vol. 135, pp. 102454-102454
Open Access | Times Cited: 16
A methodology to determine the optimal train-set size for autoencoders applied to energy systems
Piero Danti, Alessandro Innocenti
Advanced Engineering Informatics (2023) Vol. 58, pp. 102139-102139
Closed Access | Times Cited: 9
Semi-supervised attack detection in industrial control systems with deviation networks and feature selection
Yanhua Liu, Wentao Deng, Zhihuang Liu, et al.
The Journal of Supercomputing (2024) Vol. 80, Iss. 10, pp. 14600-14621
Open Access | Times Cited: 3
U.S.-U.K. PETs Prize Challenge: Anomaly Detection via Privacy-Enhanced Federated Learning
Hafiz Asif, Sitao Min, Xinyue Wang, et al.
IEEE Transactions on Privacy (2024) Vol. 1, pp. 3-18
Open Access | Times Cited: 3
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