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:

Developing an advanced prediction model for new employee turnover intention utilizing machine learning techniques
Jungryeol Park, Yituo Feng, Seon-Phil Jeong
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7

Showing 7 citing articles:

Optimization-based Techniques Prediction Model in Determining Employee Turnover
James Cloyd M. Bustillo
Procedia Computer Science (2025) Vol. 252, pp. 440-449
Open Access

Modeling the Dynamic Behaviors of Bank Account Fraudsters Using Combined Simultaneous Game Theory with Neural Networks
Abdullahi Ubale Usman, Sunusi Bala Abdullahi, Jin Ran, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1

Employee Attrition Prediction using Machine Learning Models: A Review Paper
Haya Alqahtani, Hana Almagrabi, Amal Alharbi
International Journal of Artificial Intelligence & Applications (2024) Vol. 15, Iss. 2, pp. 23-49
Open Access

Classification and Prediction of Employee Attrition Rate using Machine Learning Classifiers
Umang Garg, Neha Gupta, Mahesh Manchanda, et al.
2022 International Conference on Inventive Computation Technologies (ICICT) (2024), pp. 608-613
Closed Access

Enhancing Nurses' Organizational Citizenship Behaviors in Hospitals: Examining the Mediating Role of Culture Between Seniority and OCB
Carolina Novalien, Selfiena Lewaherilla, Wilda Rukmuin
Journal of System and Management Sciences (2024)
Open Access

Explainable Machine Learning and Graph Neural Network Approaches for Predicting Employee Attrition
Christopher Makanga, Dennis Mukwaba, Clare Linda Agaba, et al.
(2024), pp. 243-255
Closed Access

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