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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:

A comprehensive survey of anomaly detection techniques for high dimensional big data
Srikanth Thudumu, Philip Branch, Jiong Jin, et al.
Journal Of Big Data (2020) Vol. 7, Iss. 1
Open Access | Times Cited: 289

Showing 1-25 of 289 citing articles:

Using machine learning approaches for multi-omics data analysis: A review
Parminder Singh Reel, Smarti Reel, Ewan R. Pearson, et al.
Biotechnology Advances (2021) Vol. 49, pp. 107739-107739
Open Access | Times Cited: 516
A Comprehensive Survey on Graph Anomaly Detection With Deep Learning
Xiaoxiao Ma, Jia Wu, Shan Xue, et al.
IEEE Transactions on Knowledge and Data Engineering (2021) Vol. 35, Iss. 12, pp. 12012-12038
Open Access | Times Cited: 400
TranAD
Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings
Proceedings of the VLDB Endowment (2022) Vol. 15, Iss. 6, pp. 1201-1214
Closed Access | Times Cited: 326
Deep Learning for Medical Anomaly Detection – A Survey
Tharindu Fernando, Harshala Gammulle, Simon Denman, et al.
ACM Computing Surveys (2021) Vol. 54, Iss. 7, pp. 1-37
Open Access | Times Cited: 210
Machine learning in aerodynamic shape optimization
Jichao Li, Xiaosong Du, Joaquim R. R. A. Martins
Progress in Aerospace Sciences (2022) Vol. 134, pp. 100849-100849
Open Access | Times Cited: 182
Deep Learning-Based Intrusion Detection Systems: A Systematic Review
Jan Lánský, Saqib Ali, Mokhtar Mohammadi, et al.
IEEE Access (2021) Vol. 9, pp. 101574-101599
Open Access | Times Cited: 162
Temporal convolutional autoencoder for unsupervised anomaly detection in time series
Markus Thill, Wolfgang Konen, Hao Wang, et al.
Applied Soft Computing (2021) Vol. 112, pp. 107751-107751
Open Access | Times Cited: 128
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain
Jianye Hao, Tianpei Yang, Hongyao Tang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 7, pp. 8762-8782
Open Access | Times Cited: 64
Deep learning approaches for visual faults diagnosis of photovoltaic systems: State-of-the-Art review
Marium Jalal, Ihsan Ullah Khalil, Azhar ul Haq
Results in Engineering (2024) Vol. 23, pp. 102622-102622
Open Access | Times Cited: 18
Soil moisture forecast for smart irrigation: The primetime for machine learning
Rodrigo Togneri, Diego Felipe dos Santos, Glauber Camponogara, et al.
Expert Systems with Applications (2022) Vol. 207, pp. 117653-117653
Closed Access | Times Cited: 52
Cyber-Attack Prediction Based on Network Intrusion Detection Systems for Alert Correlation Techniques: A Survey
Hashim Albasheer, Maheyzah Md Siraj, Azath Mubarakali, et al.
Sensors (2022) Vol. 22, Iss. 4, pp. 1494-1494
Open Access | Times Cited: 49
BTAD: A binary transformer deep neural network model for anomaly detection in multivariate time series data
Mingrui Ma, Lansheng Han, Chunjie Zhou
Advanced Engineering Informatics (2023) Vol. 56, pp. 101949-101949
Closed Access | Times Cited: 38
Unsupervised Transformer-Based Anomaly Detection in ECG Signals
Abrar Alamr, Abdelmonim M. Artoli
Algorithms (2023) Vol. 16, Iss. 3, pp. 152-152
Open Access | Times Cited: 32
Physics-Informed Machine Learning for Data Anomaly Detection, Classification, Localization, and Mitigation: A Review, Challenges, and Path Forward
Mehdi Jabbari Zideh, Paroma Chatterjee, Anurag K. Srivastava
IEEE Access (2023) Vol. 12, pp. 4597-4617
Open Access | Times Cited: 26
Data-driven water need estimation for IoT-based smart irrigation: A survey
Rodrigo Togneri, Ronaldo C. Prati, Hitoshi Nagano, et al.
Expert Systems with Applications (2023) Vol. 225, pp. 120194-120194
Closed Access | Times Cited: 23
Time series big data: a survey on data stream frameworks, analysis and algorithms
Ana Almeida, Susana Brás, Susana Sargento, et al.
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 23
A Survey of Graph-Based Deep Learning for Anomaly Detection in Distributed Systems
Armin Danesh Pazho, Ghazal Alinezhad Noghre, Arnab A Purkayastha, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 36, Iss. 1, pp. 1-20
Open Access | Times Cited: 22
Credit Risk Assessment Using a Combined Approach of Supervised and Unsupervised Learning
Tianyi Xu
(2024), pp. 1-12
Closed Access | Times Cited: 14
15 years of Big Data: a systematic literature review
Davide Tosi, Redon Kokaj, Marco Roccetti
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 11
Detecting Anomalies in Attributed Networks Through Sparse Canonical Correlation Analysis Combined With Random Masking and Padding
Wasim Khan, Mohammad Ishrat, Ahmad Neyaz Khan, et al.
IEEE Access (2024) Vol. 12, pp. 65555-65569
Open Access | Times Cited: 10
Privacy-Aware Anomaly Detection in IoT Environments using FedGroup: A Group-Based Federated Learning Approach
Yixuan Zhang, Basem Suleiman, Muhammad Johan Alibasa, et al.
Journal of Network and Systems Management (2024) Vol. 32, Iss. 1
Open Access | Times Cited: 8
Detection of Anomaly using Machine Learning: A Comprehensive Survey
Deepak Mane, Sunil Sangve, Gopal D. Upadhye, et al.
International Journal of Emerging Technology and Advanced Engineering (2022) Vol. 12, Iss. 11, pp. 134-152
Open Access | Times Cited: 36
Explainable anomaly detection framework for predictive maintenance in manufacturing systems
Heejeong Choi, Donghwa Kim, Jounghee Kim, et al.
Applied Soft Computing (2022) Vol. 125, pp. 109147-109147
Closed Access | Times Cited: 31
Anomaly Detection in Cybersecurity Datasets via Cooperative Co-evolution-based Feature Selection
Ayesha Rashid, Mohiuddin Ahmed, Leslie F. Sikos, et al.
ACM Transactions on Management Information Systems (2022) Vol. 13, Iss. 3, pp. 1-39
Open Access | Times Cited: 30
Abnormality Detection and Failure Prediction Using Explainable Bayesian Deep Learning: Methodology and Case Study with Industrial Data
Ahmad Kamal Mohd Nor, Srinivasa Rao Pedapati, Masdi Muhammad, et al.
Mathematics (2022) Vol. 10, Iss. 4, pp. 554-554
Open Access | Times Cited: 29
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