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:

On the platform but will they buy? Predicting customers' purchase behavior using deep learning
Neha Chaudhuri, Gaurav Gupta, Vallurupalli Vamsi, et al.
Decision Support Systems (2021) Vol. 149, pp. 113622-113622
Open Access | Times Cited: 101

Showing 1-25 of 101 citing articles:

Artificial intelligence in E-Commerce: a bibliometric study and literature review
Ransome Epie Bawack, Samuel Fosso Wamba, Kévin Carillo, et al.
Electronic Markets (2022) Vol. 32, Iss. 1, pp. 297-338
Open Access | Times Cited: 173

Factors influencing consumers’ continuous purchase intention on fresh food e-commerce platforms: An organic foods-centric empirical investigation
Jiabao Lin, Ting Li, Jinyuan Guo
Electronic Commerce Research and Applications (2021) Vol. 50, pp. 101103-101103
Closed Access | Times Cited: 116

Forecasting sustainability of healthcare supply chains using deep learning and network data envelopment analysis
Majid Azadi, Saeed Yousefi, Reza Farzipoor Saen, et al.
Journal of Business Research (2022) Vol. 154, pp. 113357-113357
Closed Access | Times Cited: 44

Impact of different platform promotions on online sales and conversion rate: The role of business model and product line length
Tingting Tong, Xun Xu, Nina Yan, et al.
Decision Support Systems (2022) Vol. 156, pp. 113746-113746
Closed Access | Times Cited: 38

How does incorporating ChatGPT within a firm reinforce agility-mediated performance? The moderating role of innovation infusion and firms’ ethical identity
Amir Talaei‐Khoei, Alan Yang, Masialeti Masialeti
Technovation (2024) Vol. 132, pp. 102975-102975
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

The importance of online customer reviews characteristics on remanufactured product sales: Evidence from the mobile phone market on Amazon.com
Mengfan Zhai, Xinyue Wang, Xijie Zhao
Journal of Retailing and Consumer Services (2023) Vol. 77, pp. 103677-103677
Closed Access | Times Cited: 20

A novel weight-optimized LSTM for dynamic pricing solutions in e-commerce platforms based on customer buying behaviour
S. Suresh Kumar, Martin Margala, S. Siva Shankar, et al.
Soft Computing (2023)
Closed Access | Times Cited: 17

The implications of multi-sided platforms in managing digital business ecosystems
Sami Suuronen, Juhani Ukko, Minna Saunila, et al.
Journal of Business Research (2024) Vol. 175, pp. 114544-114544
Open Access | Times Cited: 7

From User Behavior to Subscription Sales: An Insight Into E-Book Platform Leveraging Customer Segmentation and A/B Testing
Farid Hashemian, Negar Maleki, Yasser Zeinali
Services Marketing Quarterly (2024) Vol. 45, Iss. 2, pp. 153-181
Closed Access | Times Cited: 7

Explainable causal variational autoencoders based equivariant graph neural networks for analyzing the consumer purchase behavior in E-commerce
Manoranjan Gandhudi, P. J. A. Alphonse, Vasanth Velayudham, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108988-108988
Closed Access | Times Cited: 5

The Contemporary Landscape of Artificial Intelligence Research: A Systematic Review Approach
Alexandra Adriani Widjaja, Amir Hossein Ghapanchi, Afrooz Purarjomandlangrudi
Communications in computer and information science (2025), pp. 188-205
Closed Access

Does e-commerce development reduce carbon emissions? Empirical analysis based on spatial durbin difference-in-difference model
Xinlei Qian, Yi Wang, Minjie Pan, et al.
Computers & Industrial Engineering (2025), pp. 110954-110954
Closed Access

Bayesian non-parametric method for decision support: Forecasting online product sales
Ziyue Wu, Xi Chen, Zhaoxing Gao
Decision Support Systems (2023) Vol. 174, pp. 114019-114019
Closed Access | Times Cited: 14

Handling missing values and imbalanced classes in machine learning to predict consumer preference: Demonstrations and comparisons to prominent methods
Yahui Liu, Бин Ли, Shuai Yang, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121694-121694
Closed Access | Times Cited: 14

Live streaming recommendations based on dynamic representation learning
Ge Gao, Hongyan Liu, Kang Zhao
Decision Support Systems (2023) Vol. 169, pp. 113957-113957
Closed Access | Times Cited: 13

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

An Analysis of Consumer Purchase Behavior Following Cart Addition in E-Commerce Utilizing Explainable Artificial Intelligence
Ramazan Esmeli, Aytac Gokce
Journal of theoretical and applied electronic commerce research (2025) Vol. 20, Iss. 1, pp. 28-28
Open Access

Machine learning-based predictive modeling for brain tumor analysis in a society 5.0 framework
Olalekan J. Awujoola, Abidemi Elizabeth Awujoola, Olayinka Racheal Adelegan, et al.
Elsevier eBooks (2025), pp. 127-146
Closed Access

An approach for sales forecasting
Rendra Gustriansyah, Ermatita Ermatita, Dian Palupi Rini
Expert Systems with Applications (2022) Vol. 207, pp. 118043-118043
Closed Access | Times Cited: 21

A User Purchase Behavior Prediction Method Based on XGBoost
Wenle Wang, Wentao Xiong, Jing Wang, et al.
Electronics (2023) Vol. 12, Iss. 9, pp. 2047-2047
Open Access | Times Cited: 11

All eyes on me: Predicting consumer intentions on social commerce platforms using eye-tracking data and ensemble learning
Patrick Mikalef, Kshitij Sharma, Sheshadri Chatterjee, et al.
Decision Support Systems (2023) Vol. 175, pp. 114039-114039
Open Access | Times Cited: 11

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