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 Taxonomy of Machine Learning Clustering Algorithms, Challenges, and Future Realms
Shahneela Pitafi, Toni Anwar, Zubair Sharif
Applied Sciences (2023) Vol. 13, Iss. 6, pp. 3529-3529
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Rough neighborhood graph: A method for proximity modeling and data clustering
Tomasz Hachaj, Jarosław Wąs
Applied Soft Computing (2025), pp. 112789-112789
Closed Access | Times Cited: 1

Enhancing electrical load profile segmentation for smart campus energy management
Luís H.T. Bandória, Walquiria N. Silva, Madson C. de Almeida, et al.
Energy and Buildings (2025), pp. 115232-115232
Closed Access

Effective initialization via lightweight coresets for large-scale Gaussian mixture clustering
Haijun Wang, Chuanli Wang, Chutian Wu, et al.
Applied Soft Computing (2025), pp. 112791-112791
Closed Access

ERASMO: Leveraging Large Language Models for Enhanced Clustering Segmentation
Fillipe dos Santos Silva, Gabriel Kenzo Kakimoto, Júlio Cesar dos Reis, et al.
Lecture notes in computer science (2025), pp. 414-429
Closed Access

Finding innovation patterns of mobile services using update histories: a data-driven taxonomy approach
Yong Jin Park, N Kim, Youngjung Geum
Technology Analysis and Strategic Management (2025), pp. 1-19
Closed Access

Anomaly Detection in Binary Time Series Data: An unsupervised Machine Learning Approach for Condition Monitoring
Gábor Princz, Masoud Shaloo, Selim Erol
Procedia Computer Science (2024) Vol. 232, pp. 1065-1078
Open Access | Times Cited: 3

An innovative method integrating run theory and DBSCAN for complete three-dimensional drought structures
Jing Zhang, Min Zhang, Yang Yu, et al.
The Science of The Total Environment (2024) Vol. 926, pp. 171901-171901
Open Access | Times Cited: 3

Revolutionizing Perimeter Intrusion Detection: A Machine Learning-Driven Approach With Curated Dataset Generation for Enhanced Security
Shahneela Pitafi, Toni Anwar, I Dewa Made Widia, et al.
IEEE Access (2023) Vol. 11, pp. 106954-106966
Open Access | Times Cited: 9

Distributed Fire Classification and Localization Model Based on Federated Learning with Image Clustering
Jiwon Lee, Jeongheun Kang, Chun‐Su Park, et al.
Applied Sciences (2024) Vol. 14, Iss. 20, pp. 9162-9162
Open Access | Times Cited: 2

Industrial Big Data‐Driven Modeling and Prediction for Hot‐Rolled Strip Crown with Multigrade and Multispecification Data
Dewei Xu, Chengyan Ding, Yu Liu, et al.
steel research international (2024) Vol. 95, Iss. 7
Closed Access | Times Cited: 1

The Improvement of Density Peaks Clustering Algorithm and Its Application to Point Cloud Segmentation of LiDAR
Zheng Wang, Xintong Fang, Yandan Jiang, et al.
Sensors (2024) Vol. 24, Iss. 17, pp. 5693-5693
Open Access | Times Cited: 1

Evaluation of Cluster Algorithms for Radar-Based Object Recognition in Autonomous and Assisted Driving
D. Ramos, L. Ferreira, Max Mauro Dias Santos, et al.
Sensors (2024) Vol. 24, Iss. 22, pp. 7219-7219
Open Access | Times Cited: 1

Optimizing Mean Fragment Size Prediction in Rock Blasting: A Synergistic Approach Combining Clustering, Hyperparameter Tuning, and Data Augmentation
Ian Krop, Takashi Sasaoka, Hideki Shimada, et al.
Eng—Advances in Engineering (2024) Vol. 5, Iss. 3, pp. 1905-1936
Open Access | Times Cited: 1

A comparative analysis of unsupervised machine‐learning methods in PSG‐related phenotyping
Mohammadreza Ghorvei, Tuomas Karhu, Salla Hietakoste, et al.
Journal of Sleep Research (2024)
Open Access | Times Cited: 1

Prediction of wind energy location by parallel programming using MPI-based KMEANS clustering algorithm
P. Priya Ponnuswamy, Shabariram Chokkalingam Palaniappan
Energy Sources Part A Recovery Utilization and Environmental Effects (2024) Vol. 46, Iss. 1, pp. 5451-5473
Closed Access

Curated Dataset Generation for Enhanced Security: ST-PID Dataset
Shahneela Pitafi, Toni Anwar, Zubair Sharif, et al.
(2024), pp. 85-90
Closed Access

Client Segmentation and Customization in E-Commerce: Applications of Machine Learning from a Management Perspective
K. Sriprasadh, Shamik Palit, B Pravallika, et al.
(2024), pp. 1423-1427
Closed Access

Usage of clustering algorithms for automating route planning in transportation routing tasks
О. С. Чорна, П. Ю. Дідик, С.В. Тітов, et al.
Системи обробки інформації (2024), Iss. 1 (176), pp. 115-123
Open Access

Интеллектуальный анализ данныхпри построении графа знаний мультидисциплинарного журнала
Olga Muratovna Ataeva, Л.В. Массель, В.А. Серебряков, et al.
Информационные и математические технологии в науке и управлении (2024), Iss. 3(35), pp. 5-19
Open Access

Tensorized diversity and consistency with Laplacian manifold for multi-view clustering
Tong Wu, Gui-Fu Lu
Information Sciences (2024), pp. 121575-121575
Closed Access

Urban Natural Gas Pipeline Operational Vulnerability Under the Influence of a Social Spatial Distribution Structure: A Case Study of the Safety Risk Patterns in Kunming, China.
Jiarui Xu, Chunhou Ji, Lihong Yang, et al.
Reliability Engineering & System Safety (2024), pp. 110593-110593
Closed Access

Enhancing the Understanding of Subsurface Relations: Machine Learning Approaches for Well Data Analysis in the Drava Basin, Pannonian Super Basin
Ana Brcković, Jasna Orešković, Marko Cvetković, et al.
Applied Sciences (2024) Vol. 14, Iss. 14, pp. 6039-6039
Open Access

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