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:

PerMetrics: A Framework of Performance Metrics for Machine Learning Models
Nguyen Van Thieu
The Journal of Open Source Software (2024) Vol. 9, Iss. 95, pp. 6143-6143
Open Access | Times Cited: 11

Showing 11 citing articles:

MetaPerceptron: A Standardized Framework for Metaheuristic-Driven Multi-Layer Perceptron Optimization
Nguyen Van Thieu, Seyedali Mirjalili, Harish Garg, et al.
Computer Standards & Interfaces (2025), pp. 103977-103977
Closed Access

Optimizing the Design of Metal Organic Frameworks for Drug Delivery Applications Through Machine Learning Integration
Minoosh Lalinia, Nahid Hassanzadeh Nemati, Tu C. Le, et al.
(2025)
Closed Access

Spatiotemporal Patterns Differentiate Hippocampal Sharp-Wave Ripples from Interictal Epileptiform Discharges in Mice and Humans
Anna Maslarova, Jiyun N. Shin, Andrea Navas-Olivé, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Closed Access

Real-time anti-sleep alert algorithm to prevent road accidents to ensure road safety
Abhishek Kumar Pathak, Ankit Kumar Singh, Pankaj Kumar, et al.
Frontiers in Future Transportation (2025) Vol. 6
Open Access

Integrated metaheuristic algorithms with extreme learning machine models for river streamflow prediction
Nguyen Van Thieu, Ngoc Hung Nguyen, Mohsen Sherif, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4

Machine learning for medical image classification
Gulam Mohammed Husain, Jonathan Mayer, Molly Bekbolatova, et al.
Academia Medicine (2024) Vol. 1, Iss. 4
Closed Access | Times Cited: 3

deforce: Derivative-free algorithms for optimizing Cascade Forward Neural Networks
Nguyen Van Thieu, Hoang Nguyen, Harish Garg, et al.
Software Impacts (2024) Vol. 21, pp. 100675-100675
Closed Access | Times Cited: 2

WooDensECEfier: A Machine Learning-Driven Approach for Accurate Wood Density Prediction Using Random Forest Regression Analysis
Robert G. de Luna, Jhea Camille M. Alegre, R. Martinez, et al.
(2024), pp. 103-108
Closed Access | Times Cited: 1

IntelELM: A Python Framework for Intelligent Metaheuristic-based Extreme Learning Machine
Nguyen Van Thieu, Essam H. Houssein, Diego Oliva, et al.
Neurocomputing (2024), pp. 129062-129062
Closed Access | Times Cited: 1

Agricultural GDP exposure to drought and its machine learning-based prediction in the Jialing River Basin, China
Xinzhi Wang, Qingxia Lin, Zhiyong Wu, et al.
Agricultural Water Management (2024) Vol. 307, pp. 109265-109265
Open Access

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