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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:

Intelligent Employee Retention System for Attrition Rate Analysis and Churn Prediction
Praveen Ranjan Srivastava, Prajwal Eachempati
Journal of Global Information Management (2021) Vol. 29, Iss. 6, pp. 1-29
Open Access | Times Cited: 50

Showing 26-50 of 50 citing articles:

Cross-influence of information and risk effects on the IPO market: exploring risk disclosure with a machine learning approach
Huosong Xia, Juan Weng, Sabri Boubaker, et al.
Annals of Operations Research (2022) Vol. 334, Iss. 1-3, pp. 761-797
Open Access | Times Cited: 7
An Intelligent omnichannel assortment model to manage webrooming: an optimization approach
Praveen Ranjan Srivastava, Zuopeng Zhang, Prajwal Eachempati, et al.
Journal of Strategic Marketing (2022), pp. 1-25
Closed Access | Times Cited: 5
Salesperson Churn Prediction with Machine Learning Approaches in the Retail Industry
Gizem Deniz Cömert, Tuncay Özcan, Tolga Kaya
Lecture notes in mechanical engineering (2023), pp. 25-31
Closed Access | Times Cited: 2
Human Resources Churning
Olga Alexandra Chinita Pirrolas, Pedro Miguel Alves Ribeiro Correia
Encyclopedia (2023) Vol. 3, Iss. 2, pp. 582-589
Open Access | Times Cited: 2
Integrated Machine Learning Algorithms and MCDM Techniques in Optimal Ranking of Battery Electric Vehicles
Sudha Murthy, Deepak F.X. Edwin, M. Nivetha
E3S Web of Conferences (2023) Vol. 405, pp. 02005-02005
Open Access | Times Cited: 2
Employee Attrition Prediction using Machine Learning
Sanidhya Barara, Umang Soni
(2023), pp. 1-9
Closed Access | Times Cited: 2
Customer Churn Prediction Model Using Artificial Neural Network: A Case Study in Banking
Bestin Baby, Zainb Dawod, Mhd Saeed Sharif, et al.
2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT) (2023) Vol. 4, pp. 154-161
Open Access | Times Cited: 2
Predicting Employee Attrition Using Machine Learning Algorithms
Stebin George, Konda Aiswarya Lakshmi, K. T. Thomas
(2022), pp. 700-705
Closed Access | Times Cited: 4
Explainable Artificial Intelligence in Human Resources: a Computational Study
Abdullah A. Abonamah, Davide La Torre, Marc Poulin, et al.
2021 International Conference on Data Analytics for Business and Industry (ICDABI) (2022), pp. 1-6
Closed Access | Times Cited: 3
Application of Machine Learning Algorithm in Managing Deviant Consumer Behaviors and Enhancing Public Service.
Shantanu Kumar Dubey, Prashant Salwan, Nitin Agarwal
Journal of Global Information Management (2021) Vol. 30, Iss. 5, pp. 1-24
Open Access | Times Cited: 4
Deep Reinforcement Learning for Adaptive Stock Trading
Lei Zhao, Bowen Deng, Liang Wu, et al.
Journal of Organizational and End User Computing (2024) Vol. 36, Iss. 1, pp. 1-27
Open Access
Enhancing Attrition Prediction: A Method Integrating Independent Components and Long Short-Term Memory (Lstm) Network
Saeed Zanganeh, Mohadese Basirati
(2024)
Closed Access
Machine Learning in HR Analytics: A Comparative Study on the Predictive Accuracy of Attrition Models
Md Shaik Amzad Basha, Obulesu Varikunta, A. Uma Devi, et al.
(2024), pp. 475-480
Closed Access
Comparison of information search behavior for different exploratory tasks: Evidence from experiments in online knowledge communities
Yaxi Liu, Chunxiu Qin, Xubu Ma, et al.
Information Processing & Management (2024) Vol. 61, Iss. 5, pp. 103794-103794
Closed Access
Analyzing Employee Attrition: A Visual Perspective
Maya John, Madawi Alharbi, Norah Bin Daham, et al.
(2024), pp. 28-31
Closed Access
Predicting Employee Turnover: Scoping and Benchmarking the State-of-the-Art
Simon De Vos, Christopher Bockel-Rickermann, Jente Van Belle, et al.
Business & Information Systems Engineering (2024)
Closed Access
Validation of a job satisfaction scale for predicting employee churn in commercial airlines in Portugal
António Pimenta de Brito, Ana Moreira, Maria José Sousa
Industrial and Commercial Training (2024)
Closed Access
A Systematic Literature Review of Quantitative Models for Predicting Employee Attrition
Minwir Al‐Shammari, Yahya A. Ghanem
2022 International Conference on Decision Aid Sciences and Applications (DASA) (2024), pp. 1-7
Closed Access
Healthcare Operational Intellectual Ability in Analysing the Factors Affecting Employee Churn
V. Mahalakshmi, D. Chitra, Yabesh Abraham Durairaj Isravel, et al.
EAI/Springer Innovations in Communication and Computing (2023), pp. 363-374
Closed Access | Times Cited: 1
Analysing Theoretical Models for Predicting Employee Attrition: A Comparative Study in the FMCG Sector
Vineet Mangal, Somesh Dhamija
Journal Of Advanced Zoology (2023) Vol. 44, Iss. S-3, pp. 1179-1191
Open Access | Times Cited: 1
Social Context of Turnover-Mixed Methods Study of Indian IT Professionals
Vidya V. Haran, Fred Niederman
Journal of Global Information Management (2022) Vol. 30, Iss. 1, pp. 1-24
Open Access | Times Cited: 2
The Circumplex Model for Structuring Career Anchors of the IT/IS Personnel
Christina Ling-hsing Chang, Sheng Wu
Journal of Global Information Management (2022) Vol. 30, Iss. 1, pp. 1-27
Open Access | Times Cited: 1
Discovering Key Aspects to Reduce Employee Turnover Using a Predictive Model
Paula Andrea Cárdenas López, Marta S. Tabares
Communications in computer and information science (2023), pp. 380-395
Closed Access
The Shared Transportation Industry in China: Examining the Influence of Regional Environmental Factors on New Venture Formation
Yan Zhou, Sangmoon Park, Zuopeng Zhang, et al.
Journal of Advanced Transportation (2022) Vol. 2022, pp. 1-13
Open Access
Churn Analysis for Constructive Employment Using Machine Learning Classifiers
P. B. Sharma, Tushar Agarwal, Aarti Chugh, et al.
(2022), pp. 1-4
Closed Access
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