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:

Swarm intelligence goal-oriented approach to data-driven innovation in customer churn management
Jan Kozák, Krzysztof Kania, Przemysław Juszczuk, et al.
International Journal of Information Management (2021) Vol. 60, pp. 102357-102357
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Algorithmic bias in data-driven innovation in the age of AI
Shahriar Akter, Grace McCarthy, Shahriar Sajib, et al.
International Journal of Information Management (2021) Vol. 60, pp. 102387-102387
Closed Access | Times Cited: 257

Competitive advantage: A longitudinal analysis of the roles of data-driven innovation capabilities, marketing agility, and market turbulence
Omar Alghamdi, Gomaa Agag
Journal of Retailing and Consumer Services (2023) Vol. 76, pp. 103547-103547
Open Access | Times Cited: 49

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

Digital marketing capability: the mystery of business capabilities
Darlin Apasrawirote, Kritcha Yawised, Paisarn Muneesawang
Marketing Intelligence & Planning (2022) Vol. 40, Iss. 4, pp. 477-496
Closed Access | Times Cited: 41

Revealing the role of explainable AI: How does updating AI applications generate agility-driven performance?
Masialeti Masialeti, Amir Talaei‐Khoei, Alan Yang
International Journal of Information Management (2024) Vol. 77, pp. 102779-102779
Closed Access | Times Cited: 8

Hybrid model for profit-driven churn prediction based on cost minimization and return maximization
Ping Jiang, Zhenkun Liu, Lifang Zhang, et al.
Expert Systems with Applications (2023) Vol. 228, pp. 120354-120354
Closed Access | Times Cited: 18

Realistic Data Delays and Alternative Inactivity Definitions in Telecom Churn: Investigating Concept Drift Using a Sliding-Window Approach
Andrej Bugajev, Rima Kriauzienė, Viktoras Chadyšas
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1599-1599
Open Access

New external driving force of enterprises’ commercial innovation: Revealing the role of internet platforms
Fang Zhao, Guoliang Jiang, Yi Xu, et al.
Journal of Innovation & Knowledge (2025) Vol. 10, Iss. 2, pp. 100686-100686
Open Access

On a Certain Research Gap in Big Data Mining for Customer Insights
Maria Mach‐Król, Bartłomiej Hadasik
Applied Sciences (2021) Vol. 11, Iss. 15, pp. 6993-6993
Open Access | Times Cited: 24

Data-driven innovation development: an empirical analysis of the antecedents using PLS-SEM and fsQCA
Mohammad Alamgir Hossain, Mohammed Quaddus, Md Moazzem Hossain, et al.
Annals of Operations Research (2022) Vol. 333, Iss. 2-3, pp. 895-937
Open Access | Times Cited: 17

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: 3

Turning digital technology to immersive marketing strategy: a strategic perspective on flexibility, agility and adaptability for businesses
Kritcha Yawised, Darlin Apasrawirote, Maneerut Chatrangsan, et al.
Journal of Entrepreneurship in Emerging Economies (2022) Vol. 16, Iss. 3, pp. 742-766
Closed Access | Times Cited: 14

Customer Churn Prediction Using AdaBoost Classifier and BP Neural Network Techniques in the E-Commerce Industry
Xiancheng Xiahou, Yoshio Harada
American Journal of Industrial and Business Management (2022) Vol. 12, Iss. 03, pp. 277-293
Open Access | Times Cited: 13

Data-Driven Innovation: A Literature Review, Conceptual Framework, and Research Agenda
David T.W. Wong, Eric W.T. Ngai
IEEE Transactions on Engineering Management (2024) Vol. 71, pp. 5815-5828
Closed Access | Times Cited: 2

Enhancing e-commerce customer churn management with a profit- and AUC-focused prescriptive analytics approach
Yi Feng, Yunqiang Yin, Dujuan Wang, et al.
Journal of Business Research (2024) Vol. 184, pp. 114872-114872
Closed Access | Times Cited: 2

Archimedes Optimization Algorithm-Based Feature Selection with Hybrid Deep-Learning-Based Churn Prediction in Telecom Industries
Hanan Abdullah Mengash, Nuha Alruwais, Fadoua Kouki, et al.
Biomimetics (2023) Vol. 9, Iss. 1, pp. 1-1
Open Access | Times Cited: 6

Three-stage churn management framework based on DCN with asymmetric loss
Xiaohuan Wen, Yanhong Wang, Xiaodong Ji, et al.
Expert Systems with Applications (2022) Vol. 207, pp. 117998-117998
Closed Access | Times Cited: 9

Data Democratization
Sasari Samarasinghe, Sachithra Lokuge
Advances in business information systems and analytics book series (2023), pp. 155-183
Closed Access | Times Cited: 5

Decision making mechanism in resource based theory: A literature review, synthesis, and future research
Mochammad Ridwan Ristyawan, Utomo Sarjono Putro, Manahan Siallagan
Cogent Business & Management (2023) Vol. 10, Iss. 2
Open Access | Times Cited: 4

The application of machine learning for demand prediction under macroeconomic volatility: a systematic literature review
Manuel Muth, Michael Lingenfelder, Gerd Nufer
Management Review Quarterly (2024)
Open Access | Times Cited: 1

Recent Trends of Customer Relationship Management in AI: A Scientometric Analysis
Maciej Hoffmann, Weronika Marchewka, Bartosz Piotrowski, et al.
Annales Universitatis Mariae Curie-Skłodowska sectio H Oeconomia (2024) Vol. 58, Iss. 3, pp. 181-202
Open Access | Times Cited: 1

Intelligent Prediction of Customer Churn with a Fused Attentional Deep Learning Model
Yunjie Liu, Shengdong Mu, Gu Jijian, et al.
Mathematics (2022) Vol. 10, Iss. 24, pp. 4733-4733
Open Access | Times Cited: 5

Innovations In Hr Analytics By Using Swarm Based Ann For Employee Performance Prediction
Madhu Latha Veerapaneni, K. Malarkodi, Venkata Dharani Vandanapu, et al.
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2024), pp. 1-5
Closed Access

Preliminary Results on the use of Artificial Intelligence for Managing Customer Life Cycles
Jim Ahlstrand, Martin Boldt, Anton Borg, et al.
Linköping electronic conference proceedings (2023) Vol. 199, pp. 68-76
Open Access | Times Cited: 1

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