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:
Machine learning for predicting propensity-to-pay energy bills
Md Abul Bashar, Richi Nayak, Kieren Astin-Walmsley, et al.
Intelligent Systems with Applications (2023) Vol. 17, pp. 200176-200176
Open Access | Times Cited: 8
Md Abul Bashar, Richi Nayak, Kieren Astin-Walmsley, et al.
Intelligent Systems with Applications (2023) Vol. 17, pp. 200176-200176
Open Access | Times Cited: 8
Showing 8 citing articles:
Intelligent attribution modeling for enhanced digital marketing performance
Ali Ben Mrad, Brahim Hnich
Intelligent Systems with Applications (2024) Vol. 21, pp. 200337-200337
Open Access | Times Cited: 5
Ali Ben Mrad, Brahim Hnich
Intelligent Systems with Applications (2024) Vol. 21, pp. 200337-200337
Open Access | Times Cited: 5
Pre-gating and contextual attention gate — A new fusion method for multi-modal data tasks
Duoyi Zhang, Richi Nayak, Md Abul Bashar
Neural Networks (2024) Vol. 179, pp. 106553-106553
Open Access | Times Cited: 1
Duoyi Zhang, Richi Nayak, Md Abul Bashar
Neural Networks (2024) Vol. 179, pp. 106553-106553
Open Access | Times Cited: 1
Review of the opportunities and challenges to accelerate mass‐scale application of smart grids with large‐language models
Heng Shi, Lurui Fang, Xiaoyang Chen, et al.
IET Smart Grid (2024)
Open Access | Times Cited: 1
Heng Shi, Lurui Fang, Xiaoyang Chen, et al.
IET Smart Grid (2024)
Open Access | Times Cited: 1
Electricity Billing and Consumption Prediction using Machine Learning
Mrunalini Bhandarkar, Ashok Suryawanshi, Seema Deoghare, et al.
2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA (2023)
Closed Access | Times Cited: 2
Mrunalini Bhandarkar, Ashok Suryawanshi, Seema Deoghare, et al.
2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA (2023)
Closed Access | Times Cited: 2
A Quantitative Analysis of Default Risk Using Machine Learning and SHAP Value Interpretation
Coralia Tanasuica Zotic
Proceedings of the ... International Conference on Business Excellence (2024) Vol. 18, Iss. 1, pp. 233-245
Closed Access
Coralia Tanasuica Zotic
Proceedings of the ... International Conference on Business Excellence (2024) Vol. 18, Iss. 1, pp. 233-245
Closed Access
Application of Machine Learning Techniques to Classify Intention to Pay for Forest Ecosystem Services
Phąm Thu Thúy, Nguyễn Thanh Tùng, Luu Quoc Dat
(2024), pp. 54-69
Closed Access
Phąm Thu Thúy, Nguyễn Thanh Tùng, Luu Quoc Dat
(2024), pp. 54-69
Closed Access
Predicting the Propensity of Customers to Pay via Mobile Applications with Machine Learning Methods
Ece Özkan, Berkan Ceran, Buse Mert, et al.
Lecture notes in networks and systems (2024), pp. 162-168
Closed Access
Ece Özkan, Berkan Ceran, Buse Mert, et al.
Lecture notes in networks and systems (2024), pp. 162-168
Closed Access
Measurement of energy poverty in the Colombian Caribbean region: a comparative analysis
Etna Bayona-Velásquez, José Ricardo Núñez Álvarez, Ana Pirela-Ríos, et al.
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2023) Vol. 13, Iss. 6, pp. 6016-6016
Open Access
Etna Bayona-Velásquez, José Ricardo Núñez Álvarez, Ana Pirela-Ríos, et al.
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2023) Vol. 13, Iss. 6, pp. 6016-6016
Open Access
