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:
Forecasting of E-Commerce System for Sale Prediction Using Deep Learning Modified Neural Networks
S. Neelakandan, V. Ohm Prakash, M. S. PranavKumar, et al.
(2023), pp. 1-5
Closed Access | Times Cited: 6
S. Neelakandan, V. Ohm Prakash, M. S. PranavKumar, et al.
(2023), pp. 1-5
Closed Access | Times Cited: 6
Showing 6 citing articles:
WSN-Assisted Consumer Purchasing Power Prediction via Barracuda Swarm Optimization-Driven Deep Learning for E-Commerce Systems
Latifah Almuqren, Nuha Alruwais, Asma A. Alhashmi, et al.
IEEE Transactions on Consumer Electronics (2024) Vol. 70, Iss. 1, pp. 1694-1701
Closed Access | Times Cited: 4
Latifah Almuqren, Nuha Alruwais, Asma A. Alhashmi, et al.
IEEE Transactions on Consumer Electronics (2024) Vol. 70, Iss. 1, pp. 1694-1701
Closed Access | Times Cited: 4
A New Hybrid Approach for Product Management in E-Commerce
Hacire Oya Yüregir, Metin Özşahin, Serap Akcan
Applied Sciences (2024) Vol. 14, Iss. 13, pp. 5735-5735
Open Access | Times Cited: 1
Hacire Oya Yüregir, Metin Özşahin, Serap Akcan
Applied Sciences (2024) Vol. 14, Iss. 13, pp. 5735-5735
Open Access | Times Cited: 1
Development of machine learning based demand forecasting models for the e-commerce sector
Alim Toprak Fırat, Onur Aygün, Mustafa Göğebakan, et al.
(2024) Vol. 7, Iss. 1, pp. 13-20
Open Access | Times Cited: 1
Alim Toprak Fırat, Onur Aygün, Mustafa Göğebakan, et al.
(2024) Vol. 7, Iss. 1, pp. 13-20
Open Access | Times Cited: 1
Twitter Based Emotion Recognition Using Bi-LSTM
K. Anbazhagan, Supriya Kurlekar, T. Brindha, et al.
(2024), pp. 1-5
Closed Access
K. Anbazhagan, Supriya Kurlekar, T. Brindha, et al.
(2024), pp. 1-5
Closed Access
Revenue Forecasting Using Distributed Machine Learning In Online Advertising Systems
Pallikonda Rajasekaran Murugan, S Esakkiammal, N. Kanagavalli, et al.
(2023), pp. 1-6
Closed Access
Pallikonda Rajasekaran Murugan, S Esakkiammal, N. Kanagavalli, et al.
(2023), pp. 1-6
Closed Access
Big Data Mining And Clustering Using Distributed Bayesian Matrix Decomposition
Bappaditya Das, Thejovathi Murari, Chandan Bikash Das, et al.
(2023), pp. 1-6
Closed Access
Bappaditya Das, Thejovathi Murari, Chandan Bikash Das, et al.
(2023), pp. 1-6
Closed Access
