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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 machine learning-based analytical framework for employee turnover prediction
Xinlei Wang, Jianing Zhi
Journal of Management Analytics (2021) Vol. 8, Iss. 3, pp. 351-370
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Self-organizing maps: a novel approach to identify and map business clusters
Francis Bowen, Janaína Siegler
Journal of Management Analytics (2024) Vol. 11, Iss. 2, pp. 228-246
Closed Access | Times Cited: 8
Machine learning, knowledge risk, and principal-agent problems in automated trading
Christian Borch
Technology in Society (2022) Vol. 68, pp. 101852-101852
Open Access | Times Cited: 23
Effective machine learning, Meta-heuristic algorithms and multi-criteria decision making to minimizing human resource turnover
Nima Pourkhodabakhsh, Mobina Mousapour Mamoudan, Ali Bozorgi-Amiri
Applied Intelligence (2022) Vol. 53, Iss. 12, pp. 16309-16331
Open Access | Times Cited: 23
A decade of research on machine learning techniques for predicting employee turnover: A systematic literature review
Mariam Al Akasheh, Esraa Faisal Malik, Omar Hujran, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121794-121794
Closed Access | Times Cited: 16
On modeling acquirer delisting post-merger using machine learning techniques
Ephraim Kwashie Thompson, Changki Kim, So-Yeun Kim
Journal of Management Analytics (2024) Vol. 11, Iss. 2, pp. 247-275
Closed Access | Times Cited: 4
What makes companies zombie? Detecting the most important zombification feature using tree-based machine learning
Rayenda Khresna Brahmana
Expert Systems with Applications (2025), pp. 126538-126538
Open Access
The adoption of human resources analytics in construction projects in Jordan: antecedents and consequences
Ahmad Abujraiban, Gabriel J. Assaf, Aladeen Yousef Rashid Hmoud
Journal of Management Analytics (2025), pp. 1-40
Closed Access
Machine Learning Models for Predicting Employee Attrition: A Data Science Perspective
Anber Abraheem Shlash Mohammad, Zeyad Alkhazali, Sulieman Ibraheem Shelash Al-Hawary, et al.
Data & Metadata (2025) Vol. 4, pp. 669-669
Closed Access
Human Resource Analytics: A Hybrid Review
Tulsee Giri Goswami, Mansi
South Asian Journal of Human Resources Management (2025)
Closed Access
Enhancing Employee Churn Prediction with Weibull Time-to-Event Modeling
Hafiza Habiba Shabbir, Muhammad Umar Farooq, Amna Zafar, et al.
Journal of Engineering Research (2025)
Open Access
An ensemble learning model for predicting the intention to quit among employees using classification algorithms
A. K. Biswas, R. Seethalakshmi, Prabha Mariappan, et al.
Decision Analytics Journal (2023) Vol. 9, pp. 100335-100335
Open Access | Times Cited: 10
Identification of Potential Biomarkers in Stomach Adenocarcinoma using Machine Learning Approaches
Elham Nazari, Ghazaleh Pourali, Majid Khazaei, et al.
Current Bioinformatics (2023) Vol. 18, Iss. 4, pp. 320-333
Closed Access | Times Cited: 8
Using a novel ensemble learning framework to detect financial reporting misconduct
Siqi Pan, Qiang Ye, Wen Shi
Journal of Management Analytics (2023) Vol. 10, Iss. 4, pp. 607-624
Closed Access | Times Cited: 7
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 | Times Cited: 2
Towards a Paradigm Shift: How Can Machine Learning Extend the Boundaries of Quantitative Management Scholarship?
Danat Valizade, Felix Schulz, Cezara Nicoara
British Journal of Management (2022) Vol. 35, Iss. 1, pp. 99-114
Open Access | Times Cited: 12
Enhancing the Prediction of Employee Turnover With Knowledge Graphs and Explainable AI
Mariam Al Akasheh, Omar Hujran, Esraa Faisal Malik, et al.
IEEE Access (2024) Vol. 12, pp. 77041-77053
Open Access | Times Cited: 2
Analysis and classification of employee attrition and absenteeism in industry: A sequential pattern mining-based methodology
M. Saqib Nawaz, M. Zohaib Nawaz, Philippe Fournier‐Viger, et al.
Computers in Industry (2024) Vol. 159-160, pp. 104106-104106
Closed Access | Times Cited: 2
Drilling down artificial intelligence in entrepreneurial management: A bibliometric perspective
Xueling Li, Yujie Long, Meixi Fan, et al.
Systems Research and Behavioral Science (2022) Vol. 39, Iss. 3, pp. 379-396
Closed Access | Times Cited: 9
Comparative Analysis of Entropy Weight Method and C5 Classifier for Predicting Employee Churn
Meenu Chaudhary, Loveleen Gaur, Amlan Chakrabarti
2022 3rd International Conference on Intelligent Engineering and Management (ICIEM) (2022), pp. 232-236
Closed Access | Times Cited: 9
Assessment of Personal Values for Data-Driven Human Resource Management
Takuma Kimura
Data Science Journal (2023) Vol. 22
Open Access | Times Cited: 4
Unlocking Potential: A Holistic Approach to Predicting Employee Performance with Business Analytics and Machine Learning
Ibrahim Adeoye
SSRN Electronic Journal (2024)
Closed Access | Times Cited: 1
Machine Learning in Human Resource Analytics: Promotion Classification using Data Balancing Techniques
Adel Ismail Al‐Alawi, Muneera Salem Albuainain
(2024), pp. 1-5
Closed Access | Times Cited: 1
Predicting non-violent work behaviour among employees using machine learning techniques
Kusum Lata, Naval Garg
International Journal of Conflict Management (2023) Vol. 34, Iss. 5, pp. 931-944
Closed Access | Times Cited: 3
An evaluation framework of IT‐enabled service‐oriented manufacturing
Yu Sun, Yuming He, Haiqing Yu, et al.
Systems Research and Behavioral Science (2022) Vol. 39, Iss. 3, pp. 657-667
Closed Access | Times Cited: 5
Management analytics: a bibliometric analysis
Y. Lu, L.A. Ivanov, Fang Wang, et al.
Nanotechnologies in Construction A Scientific Internet-Journal (2024) Vol. 16, Iss. 3, pp. 257-266
Open Access
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