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:

Progress in Outlier Detection Techniques: A Survey
Hongzhi Wang, Mohamed Jaward Bah, Mohamed Hammad
IEEE Access (2019) Vol. 7, pp. 107964-108000
Open Access | Times Cited: 426

Showing 26-50 of 426 citing articles:

Sentiment Analysis of before and after Elections: Twitter Data of U.S. Election 2020
Hassan Nazeer Chaudhry, Yasir Javed, Farzana Kulsoom, et al.
Electronics (2021) Vol. 10, Iss. 17, pp. 2082-2082
Open Access | Times Cited: 51

Data analysis with Shapley values for automatic subject selection in Alzheimer’s disease data sets using interpretable machine learning
Louise Bloch, Christoph M. Friedrich
Alzheimer s Research & Therapy (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 47

Systematic Review of Financial Distress Identification using Artificial Intelligence Methods
Dovilė Kuizinienė, Tomas Krilavičius, Robertas Damaševičius, et al.
Applied Artificial Intelligence (2022) Vol. 36, Iss. 1
Open Access | Times Cited: 31

A procedure for anomaly detection and analysis
Oded Koren, Michal Koren, Or Peretz
Engineering Applications of Artificial Intelligence (2022) Vol. 117, pp. 105503-105503
Open Access | Times Cited: 30

Cluster Analysis with K-Mean versus K-Medoid in Financial Performance Evaluation
Emilia Herman, Kinga Emese Zsidó, Veronika Fenyves
Applied Sciences (2022) Vol. 12, Iss. 16, pp. 7985-7985
Open Access | Times Cited: 29

Detecting outliers from pairwise proximities: Proximity isolation forests
Antonella Mensi, David M. J. Tax, Manuele Bicego
Pattern Recognition (2023) Vol. 138, pp. 109334-109334
Open Access | Times Cited: 17

A machine learning framework for intelligent development of Ultra-High performance concrete (UHPC): From dataset cleaning to performance predicting
Liuliu Xu, Dingqiang Fan, Kangning Liu, et al.
Expert Systems with Applications (2023) Vol. 242, pp. 122790-122790
Closed Access | Times Cited: 16

Synergistic Feature Engineering and Ensemble Learning for Early Chronic Disease Prediction
Hamdi A. Al-Jamimi
IEEE Access (2024) Vol. 12, pp. 62215-62233
Open Access | Times Cited: 7

A critical review on system architecture, techniques, trends and challenges in intelligent predictive maintenance
Suraj Gupta, Akhilesh Kumar, J. Maiti
Safety Science (2024) Vol. 177, pp. 106590-106590
Closed Access | Times Cited: 7

Improving the outlier detection method in concrete mix design by combining the isolation forest and local outlier factor
Raed Alsini, Abdullah Almakrab, Ahmed Ibrahim, et al.
Construction and Building Materials (2020) Vol. 270, pp. 121396-121396
Closed Access | Times Cited: 41

A Benchmark of Medical Out of Distribution Detection
Tianshi Cao, Chin‐Wei Huang, David Yu-Tung Hui, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 39

Anomaly detection in autonomous electric vehicles using AI techniques: A comprehensive survey
Palak Dixit, Pronaya Bhattacharya, Sudeep Tanwar, et al.
Expert Systems (2021) Vol. 39, Iss. 5
Closed Access | Times Cited: 39

Deep Learning-Driven Data Curation and Model Interpretation for Smart Manufacturing
Jianjing Zhang, Robert X. Gao
Chinese Journal of Mechanical Engineering (2021) Vol. 34, Iss. 1
Open Access | Times Cited: 38

A Novel Multivariate Time-Series Anomaly Detection Approach Using an Unsupervised Deep Neural Network
Peihai Zhao, Xiaoyan Chang, Mimi Wang
IEEE Access (2021) Vol. 9, pp. 109025-109041
Open Access | Times Cited: 35

A network-based positive and unlabeled learning approach for fake news detection
Mariana Caravanti de Souza, Bruno Magalhães Nogueira, Rafael Geraldeli Rossi, et al.
Machine Learning (2021) Vol. 111, Iss. 10, pp. 3549-3592
Open Access | Times Cited: 34

An efficient method for autoencoder based outlier detection
Abhaya Abhaya, Bidyut Kr. Patra
Expert Systems with Applications (2022) Vol. 213, pp. 118904-118904
Closed Access | Times Cited: 26

Using Machine Learning for Dynamic Authentication in Telehealth: A Tutorial
Seyed Mehdi Hazrati Fard, Fayez Gebali, Mohammad Mamun
Sensors (2022) Vol. 22, Iss. 19, pp. 7655-7655
Open Access | Times Cited: 26

Survey on extreme learning machines for outlier detection
Rasoul Kiani, Wei Jin, Victor S. Sheng
Machine Learning (2024) Vol. 113, Iss. 8, pp. 5495-5531
Closed Access | Times Cited: 5

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: 5

Quantifying nano‐domain size and orientation in relaxor ferroelectrics using transmission electron microscopy
Nathan M. Brichta, Levi Tegg, Luke W. Giles, et al.
Journal of the American Ceramic Society (2025)
Closed Access

A robust approach for outlier detection based on the ratio of number of reverse neighbors to neighbors
Reza Heydari-Gharaei, Rouhalah Sharifi, Shima Kashef, et al.
Pattern Analysis and Applications (2025) Vol. 28, Iss. 1
Closed Access

A Novel Intelligent Learning Method for Identifying Gross Errors in Dam Deformation Monitoring Series
Chunhui Fang, Handong Wang, Jianchao Li, et al.
Water (2025) Vol. 17, Iss. 2, pp. 148-148
Open Access

Stream Data Analysis and Processing Frameworks for Detecting Outliers in Human Activities: A Review
Mohammed Sabha, Bülent Tuğrul
WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS (2025) Vol. 22, pp. 104-117
Open Access

Navigating the unknown: out-of-distribution detection for medical imaging
Moritz Fuchs, Anastasios N. Angelopoulos, Magdalini Paschali, et al.
Elsevier eBooks (2025), pp. 73-99
Closed Access

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