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:

Using social media information to predict the credit risk of listed enterprises in the supply chain
Gang Yao, Xiaojian Hu, Liangcheng Xu, et al.
Kybernetes (2022) Vol. 52, Iss. 11, pp. 4993-5016
Closed Access | Times Cited: 8

Showing 8 citing articles:

Innovative Credit Risk Assessment: Leveraging Social Media Data for Inclusive Credit Scoring in Indonesia’s Fintech Sector
Andry Alamsyah, Aufa Azhari Hafidh, Annisa Dwiyanti Mulya
Journal of risk and financial management (2025) Vol. 18, Iss. 2, pp. 74-74
Open Access

Modelling supply chain risk events by considering their contributing events: a systematic literature review
Maryam Shahsavari, Omar Khadeer Hussain, Pankaj Sharma, et al.
Enterprise Information Systems (2025)
Open Access

Assessment of text-generated supply chain risks considering news and social media during disruptive events
Soumik Nafis Sadeek, Shinya Hanaoka
Social Network Analysis and Mining (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 6

Social media and expert analysis cast light on the mechanisms of underlying problems in pharmaceutical supply chain: An exploratory approach
Mohammad Reza Seddigh, Aida Targholizadeh, Sajjad Shokouhyar‎, et al.
Technological Forecasting and Social Change (2023) Vol. 191, pp. 122533-122533
Closed Access | Times Cited: 4

Supplier selection enhanced by big data analytics using deep learning
Asma A. Mohammed Ali, Alla Eldin H. Kassam
AIP conference proceedings (2024) Vol. 3232, pp. 020038-020038
Closed Access

AdaFNDFS: An AdaBoost Ensemble Model with Fast Nondominated Feature Selection for Predicting Enterprise Credit Risk in the Supply Chain
Gang Yao, Xiaojian Hu, Pingfan Song, et al.
International Journal of Intelligent Systems (2024) Vol. 2024, Iss. 1
Open Access

Prof. Vladas Gronskas International Scientific Conference
Ingrida Šarkiūnaitė
Vilnius University Proceedings (2023) Vol. 37, pp. 1-120
Open Access

The Role of Artificial Intelligence, Financial and Non-Financial Data in Credit Risk Prediction: Literature Review
Laura Miliūnaitė, Gerda Žigienė
Vilnius University Proceedings (2023) Vol. 37, pp. 69-74
Open Access

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