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:

Envisaging Employee Churn Using MCDM and Machine Learning
Meenu Chaudhary, Loveleen Gaur, N. Z. Jhanjhi, et al.
Intelligent Automation & Soft Computing (2022) Vol. 33, Iss. 2, pp. 1009-1024
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners
Awais Manzoor, M. Atif Qureshi, Etain Kidney, et al.
IEEE Access (2024) Vol. 12, pp. 70434-70463
Closed Access | Times Cited: 17

Reimagining multi-criterion decision making by data-driven methods based on machine learning: A literature review
Huchang Liao, Yangpeipei He, Xueyao Wu, et al.
Information Fusion (2023) Vol. 100, pp. 101970-101970
Closed Access | Times Cited: 37

Analysing Influential Factors in Student Academic Achievement: Prediction Modelling and Insight
Fahmida Faiza Ananna, Ruchira Nowreen, Sakhar Saad Rashid Al Jahwari, et al.
International Journal of Emerging Multidisciplinaries Computer Science & Artificial Intelligence (2023) Vol. 2, Iss. 1
Open Access | Times Cited: 23

Optimising customer retention: An AI-driven personalised pricing approach
Yasin Ortakcı, Hüseyin Şeker
Computers & Industrial Engineering (2024) Vol. 188, pp. 109920-109920
Closed Access | Times Cited: 6

Analyzing Employee Attrition Using Explainable AI for Strategic HR Decision-Making
Gabriel Marín Díaz, José Javier Galán Hernández, José Luis Galdón Salvador
Mathematics (2023) Vol. 11, Iss. 22, pp. 4677-4677
Open Access | Times Cited: 13

Ethical Considerations in the Use of the Metaverse for Healthcare
Loveleen Gaur, Devanshi Gaur, Anam Afaq
Advances in medical technologies and clinical practice book series (2023), pp. 248-273
Closed Access | Times Cited: 11

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 integrated model to evaluate the transparency in predicting employee churn using explainable artificial intelligence
Meenu Chaudhary, Loveleen Gaur, Amlan Chakrabarti, et al.
Journal of Innovation & Knowledge (2025) Vol. 10, Iss. 3, pp. 100700-100700
Closed Access

A Latent Dirichlet Allocation Technique for Opinion Mining of Online Reviews of Global Chain Hotels
Anam Afaq, Loveleen Gaur, Gurmeet Singh
2022 3rd International Conference on Intelligent Engineering and Management (ICIEM) (2022), pp. 201-206
Closed Access | Times Cited: 18

The Function of Driver Categorisation in the Ride-Hailing Industry: A study on On-demand Transport
Meenu Chaudhary, Ajay Gangele, Mohd Naved, et al.
(2022), pp. 1-6
Closed Access | Times Cited: 17

Aspect-Based Opinion Mining of Customer Reviews in the Hospitality Industry: Leveraging Recursive Neural Tensor Network Algorithm
Anam Afaq, Gurinder Singh, Loveleen Gaur, et al.
(2023) Vol. 20, pp. 1392-1397
Closed Access | Times Cited: 10

Machine learning embedded hybrid MCDM model to mitigate decision uncertainty in transport safety planning for OAS countries
Weijie Zhou, H.Y. Feng, Zeyu Guo, et al.
Socio-Economic Planning Sciences (2024), pp. 102082-102082
Closed Access | Times Cited: 3

Introduction to Explainable AI and Intelligent Transportation
Loveleen Gaur, Biswa Mohan Sahoo
Springer eBooks (2022), pp. 1-25
Closed Access | Times Cited: 13

Detecting the Employee Satisfaction in Retail: A Latent Dirichlet Allocation and Machine Learning approach
Meenu Chaudhary, Loveleen Gaur, Amlan Chakrabarti
(2022), pp. 1-6
Closed Access | Times Cited: 13

Investigation of Classification Model for Text-Based Sentiment Analysis
Ian Cedric Ng Man King, Yang Li, Teoh Yan Qin, et al.
(2024), pp. 1-8
Closed Access | Times Cited: 2

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

Leveraging Unity 3D and Vuforia Engine for Augmented Reality Application Development
Meenu Chaudhary, Gurinder Singh, Loveleen Gaur, et al.
(2023) Vol. 13, pp. 1139-1144
Closed Access | Times Cited: 4

Unboxing the mystery: employee churn in the retail industry using machine learning approach
Meenu Chaudhary, Anam Afaq, Gurinder Singh, et al.
International Journal of Systems Assurance Engineering and Management (2024)
Closed Access | Times Cited: 1

Classifying Customers’ Journey from Online Reviews of Amazon Fresh via Sentiment Analysis and Topic Modelling
Jyoti Rana, Loveleen Gaur, K. C. Santosh
(2022)
Closed Access | Times Cited: 6

Explainable AI in ITS: Ethical Concerns
Loveleen Gaur, Biswa Mohan Sahoo
Springer eBooks (2022), pp. 79-90
Closed Access | Times Cited: 5

Envisaging and Retaining College Workforce Attrition using Machine Learning and Ensemble Learning
Avinash Golande, Vasudev Surwase, Neha Patil, et al.
2022 International Conference for Advancement in Technology (ICONAT) (2023), pp. 1-6
Closed Access | Times Cited: 2

Intelligent Transportation System: Modern Business Models
Loveleen Gaur, Biswa Mohan Sahoo
Springer eBooks (2022), pp. 67-77
Closed Access | Times Cited: 4

Envisaging College Personnel Turnover Using Machine Learning and Ensemble Learning Techniques
Avinash Golande, Vasudev Surwase, Neha Patil, et al.
2022 IEEE 7th International conference for Convergence in Technology (I2CT) (2024)
Closed Access

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