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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:

Leveraging unstructured call log data for customer churn prediction
Nhi N.Y. Vo, Shaowu Liu, Xitong Li, et al.
Knowledge-Based Systems (2020) Vol. 212, pp. 106586-106586
Open Access | Times Cited: 83

Showing 1-25 of 83 citing articles:

Technology status and trends of industrial wastewater treatment: A patent analysis
Guozhu Mao, Yixin Han, Xi Liu, et al.
Chemosphere (2021) Vol. 288, pp. 132483-132483
Closed Access | Times Cited: 111
Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media
Hamad Zogan, Imran Razzak, Xianzhi Wang, et al.
World Wide Web (2022) Vol. 25, Iss. 1, pp. 281-304
Open Access | Times Cited: 105
Perspectives of Digital Marketing for the Restaurant Industry
Mohammad Badruddoza Talukder, Sanjeev Kumar, Iva Rani Das
Advances in media, entertainment and the arts (AMEA) book series (2024), pp. 118-134
Closed Access | Times Cited: 24
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
A Data-Driven Approach to Improve Customer Churn Prediction Based on Telecom Customer Segmentation
Zhang Tianyuan, Sérgio Moro, Ricardo F. Ramos
Future Internet (2022) Vol. 14, Iss. 3, pp. 94-94
Open Access | Times Cited: 47
Extreme gradient boosting trees with efficient Bayesian optimization for profit-driven customer churn prediction
Zhenkun Liu, Ping Jiang, Koen W. De Bock, et al.
Technological Forecasting and Social Change (2023) Vol. 198, pp. 122945-122945
Closed Access | Times Cited: 38
Deep Churn Prediction Method for Telecommunication Industry
Lewlisa Saha, Hrudaya Kumar Tripathy, Tarek Gaber, et al.
Sustainability (2023) Vol. 15, Iss. 5, pp. 4543-4543
Open Access | Times Cited: 32
Investigating customer churn in banking: a machine learning approach and visualization app for data science and management
Pahul Singh, Fahim Islam Anik, Rahul Senapati, et al.
Data Science and Management (2023) Vol. 7, Iss. 1, pp. 7-16
Open Access | Times Cited: 29
An integrated approach of ensemble learning methods for stock index prediction using investor sentiments
Shangkun Deng, Yingke Zhu, Yiting Yu, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121710-121710
Closed Access | Times Cited: 28
Ensemble Methods in Customer Churn Prediction: A Comparative Analysis of the State-of-the-Art
Matthias Bogaert, Lex Delaere
Mathematics (2023) Vol. 11, Iss. 5, pp. 1137-1137
Open Access | Times Cited: 26
Dynamic customer churn prediction strategy for business intelligence using text analytics with evolutionary optimization algorithms
Irina V. Pustokhina, Denis A. Pustokhin, Aswathy RH, et al.
Information Processing & Management (2021) Vol. 58, Iss. 6, pp. 102706-102706
Closed Access | Times Cited: 41
Hospitality order cancellation prediction from a profit-driven perspective
Zhenkun Liu, Ping Jiang, Jianzhou Wang, et al.
International Journal of Contemporary Hospitality Management (2022) Vol. 35, Iss. 6, pp. 2084-2112
Closed Access | Times Cited: 31
A methodological and theoretical framework for implementing explainable artificial intelligence (XAI) in business applications
Dieudonné Tchuente, Jerry Lonlac, Bernard Kamsu-Foguem
Computers in Industry (2023) Vol. 155, pp. 104044-104044
Open Access | Times Cited: 22
A decision support framework to incorporate textual data for early student dropout prediction in higher education
Minh Hieu Phan, Arno De Caigny, Kristof Coussement
Decision Support Systems (2023) Vol. 168, pp. 113940-113940
Open Access | Times Cited: 20
A PCA-AdaBoost model for E-commerce customer churn prediction
Zengyuan Wu, Lizheng Jing, Bei Wu, et al.
Annals of Operations Research (2022)
Closed Access | Times Cited: 28
Alert-Driven Customer Relationship Management in Online Travel Agencies
Mimi Mei Wa Chan, Dickson K.W. Chiu
Advances in marketing, customer relationship management, and e-services book series (2022), pp. 286-303
Closed Access | Times Cited: 26
Clairvoyant: AdaBoost with Cost-Enabled Cost-Sensitive Classifier for Customer Churn Prediction
Hiren Kumar Thakkar, Ankit Desai, Subrata Ghosh, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 25
Development of a Customer Churn Model for Banking Industry Based on Hard and Soft Data Fusion
Masoud Alizadeh, Danial Sadrian Zadeh, Behzad Moshiri, et al.
IEEE Access (2023) Vol. 11, pp. 29759-29768
Open Access | Times Cited: 14
A novel classification algorithm for customer churn prediction based on hybrid Ensemble-Fusion model
Chenggang He, Chris Ding
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
A competing risks model based on latent Dirichlet Allocation for predicting churn reasons
Dorenda Slof, Flavius Frăsincar, Vladyslav Matsiiako
Decision Support Systems (2021) Vol. 146, pp. 113541-113541
Open Access | Times Cited: 31
High-frequency forecasting of the crude oil futures price with multiple timeframe predictions fusion
Shangkun Deng, Yingke Zhu, Shuangyang Duan, et al.
Expert Systems with Applications (2023) Vol. 217, pp. 119580-119580
Closed Access | Times Cited: 12
Predicting customer churn using grey wolf optimization‐based support vector machine with principal component analysis
Betul Durkaya Kurtcan, Tuncay Özcan
Journal of Forecasting (2023) Vol. 42, Iss. 6, pp. 1329-1340
Closed Access | Times Cited: 11
A Big Data-Driven Hybrid Model for Enhancing Streaming Service Customer Retention Through Churn Prediction Integrated With Explainable AI
Usman Gani Joy, Kazi Ekramul Hoque, Mohammed Nazim Uddin, et al.
IEEE Access (2024) Vol. 12, pp. 69130-69150
Open Access | Times Cited: 4
Predicting the churn patterns of monetizers and non-monetizers: exploring the influence of behavioral variability in churn prediction
Riga Wu, Ya‐Han Hu, En-Yi Chou
Internet Research (2025)
Closed Access
Investigating the impact of undersampling and bagging: an empirical investigation for customer attrition modeling
Arno De Caigny, Kristof Coussement, Matthijs Meire, et al.
Annals of Operations Research (2025)
Closed Access
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