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:

Profit-driven weighted classifier with interpretable ability for customer churn prediction
Ping Jiang, Zhenkun Liu, Mohammad Zoynul Abedin, et al.
Omega (2024) Vol. 125, pp. 103034-103034
Closed Access | Times Cited: 37

Showing 1-25 of 37 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: 16

Developing a hybrid system for stock selection and portfolio optimization with many-objective optimization based on deep learning and improved NSGA-III
Mengzheng Lv, Jianzhou Wang, Shuai Wang, et al.
Information Sciences (2024) Vol. 670, pp. 120549-120549
Closed Access | Times Cited: 13

Profit-driven fusion framework based on bagging and boosting classifiers for potential purchaser prediction
Zhenkun Liu, Ying Zhang, Mohammad Zoynul Abedin, et al.
Journal of Retailing and Consumer Services (2024) Vol. 79, pp. 103854-103854
Open Access | Times Cited: 11

Modeling and forecasting carbon dioxide emission in Pakistan using a hybrid combination of regression and time series models
Hasnain Iftikhar, Murad Khan, Justyna Żywiołek, et al.
Heliyon (2024) Vol. 10, Iss. 13, pp. e33148-e33148
Open Access | Times Cited: 8

Explainable Profit-Driven Hotel Booking Cancellation Prediction based on Heterogeneous Stacking-Based Ensemble Classification
Zhenkun Liu, Koen W. De Bock, Lifang Zhang
European Journal of Operational Research (2024) Vol. 321, Iss. 1, pp. 284-301
Closed Access | Times Cited: 6

Using explainable deep learning to improve decision quality: Evidence from carbon trading market
Yang Zhao, Jianzhou Wang, Shuai Wang, et al.
Omega (2025), pp. 103281-103281
Closed Access

An Ensemble Model Minimising Misjudgment Cost: Empirical Evidence From Chinese Listed Companies
Kunpeng Yuan, Mohammad Zoynul Abedin, Petr Hájek
International Journal of Finance & Economics (2025)
Open Access

A predict-and-optimize approach to profit-driven churn prevention
Nuria Gómez-Vargas, Sebastián Maldonado, Carla Vairetti
European Journal of Operational Research (2025)
Closed Access

Demystifying deep credit models in e-commerce lending: An explainable approach to consumer creditworthiness
Chaoqun Wang, Yijun Li, Siyi Wang, et al.
Knowledge-Based Systems (2025), pp. 113141-113141
Closed Access

Optimized churn prediction using ensemble-based feature selection via second-order cone programming
Batuhan Ulug, Süreyya Özöğür‐Akyüz
Annals of Operations Research (2025)
Closed Access

Improving customer retention in taxi industry using travel data analytics: A churn prediction study
A.L.D. Loureiro, Vera Miguéis, Álvaro Costa, et al.
Journal of Retailing and Consumer Services (2025) Vol. 85, pp. 104288-104288
Open Access

Diffusion prediction of competitive information with time-varying attractiveness in social networks
Xiaojun Liu, Narisa Zhao, Wei Wei, et al.
Information Processing & Management (2024) Vol. 61, Iss. 4, pp. 103739-103739
Open Access | Times Cited: 4

A Hybrid Model Based on CEEMDAN-GRU and Error Compensation for Predicting Sunspot Numbers
Jianzhong Yang, Song Liu, Shili Xuan, et al.
Electronics (2024) Vol. 13, Iss. 10, pp. 1904-1904
Open Access | Times Cited: 3

Mid-term electricity demand forecasting using improved multi-mode reconstruction and particle swarm-enhanced support vector regression
Lei Wang, Xinyu Wang, Zhongchao Zhao
Energy (2024) Vol. 304, pp. 132021-132021
Closed Access | Times Cited: 3

Interpretable wind power forecasting combing seasonal-trend representations learning with temporal fusion transformers architecture
Zhewen Niu, Xiaoqing Han, Dongxia Zhang, et al.
Energy (2024) Vol. 306, pp. 132482-132482
Closed Access | Times Cited: 3

Soil temperature prediction based on explainable artificial intelligence and LSTM
Qingtian Geng, Leilei Wang, Qingliang Li
Frontiers in Environmental Science (2024) Vol. 12
Open Access | Times Cited: 3

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

Urban Flood Depth Prediction and Visualization Based on the XGBoost-SHAP Model
Yuan Liu, Hongfa Wang, Xinjian Guan, et al.
Water Resources Management (2024)
Closed Access | Times Cited: 2

Application of aggregation operators for forecasting PM10 fluctuations: From available Caribbean data sites to unequipped ones
Thomas Plocoste, Sébastien Regis, Silvère Paul Nuiro, et al.
Atmospheric Pollution Research (2024) Vol. 15, Iss. 6, pp. 102116-102116
Closed Access | Times Cited: 1

An Interpretable Time Series Forecasting Model for Predicting NOx Emission Concentration in Ferroalloy Electric Arc Furnace Plants
Youngjin Seol, Seung‐Hyun Lee, Jiho Lee, et al.
Mathematics (2024) Vol. 12, Iss. 6, pp. 878-878
Open Access | Times Cited: 1

AI-based seagrass morphology measurement
S. Halder, Nahina Islam, Biplob Ray, et al.
Journal of Environmental Management (2024) Vol. 369, pp. 122246-122246
Open Access | Times Cited: 1

A three-stage prediction model for firm default risk: An integration of text sentiment analysis
Xuejiao Ma, T. Che, Qichuan Jiang
Omega (2024), pp. 103207-103207
Closed Access | Times Cited: 1

Application of deep forest algorithm incorporating seasonality and temporal correlation for wind speed prediction in offshore wind farm
Haipeng Fang, Shuo Lin, Jun Zhu, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access | Times Cited: 1

Research on stock prediction based on CED-PSO-StockNet time series model
Xinying Chen, Fengjiao Yang, Qianhan Sun, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1

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