Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Predicting Chain’s Manufacturing SME Credit Risk in Supply Chain Finance Based on Machine Learning Methods
Yu Xia, Ta Xu, Mingxia Wei, et al.
Sustainability (2023) Vol. 15, Iss. 2, pp. 1087-1087
Open Access | Times Cited: 13

Showing 13 citing articles:

Innovative Machine Learning Approaches for Complexity in Economic Forecasting and SME Growth: A Comprehensive Review
Mustafa I. Al-Karkhi, Grzegorz Rza̧dkowski
Journal of Economy and Technology (2025)
Open Access
Credit Risk Assessment of Green Supply Chain Finance for SMEs Based on Multi-Source Information Fusion
Huipo Wang, Liu Meng
Sustainability (2025) Vol. 17, Iss. 4, pp. 1590-1590
Open Access
Advanced Default Risk Prediction in Small and Medum-Sized Enterprises Using Large Language Models
Haonan Huang, Jing Li, Cuiling Zheng, et al.
Applied Sciences (2025) Vol. 15, Iss. 5, pp. 2733-2733
Open Access
The Impact of Machine Learning (ML) Optimization of supply chain management domain
Kiranmai M V S V, Jeidy Panduro-Ramírez, Anubhuti Dhyani, et al.
(2023), pp. 932-936
Closed Access | Times Cited: 3
The Role of AI and Blockchain in Supply Chain Traceability
K. Sherin, Namita Kaur, Abhishek Joshi, et al.
(2023), pp. 918-922
Closed Access | Times Cited: 3
Credit Scoring Using Machine Learning Algorithms and Blockchain Technology
Mariam Ossama Kotb
(2023)
Closed Access | Times Cited: 3
Supply chain finance, firm performance and industry competition: empirical evidence from Pakistan
Memoona Sajid, Raheel Safdar
Business Process Management Journal (2023) Vol. 29, Iss. 7, pp. 1989-2008
Closed Access | Times Cited: 3
Predicting of Credit Risk Using Machine Learning Algorithms
Tisa Maria Antony, B. Sathish Kumar
Lecture notes in networks and systems (2024), pp. 99-114
Closed Access
A Machine Learning-Based Predictive Model for the Management of Incidents in Small and Medium-Sized Enterprises in Peru
Luis F. Cribillero, Jeyson I. Quispe, Pedro Castañeda
(2024), pp. 456-459
Closed Access
Credit risk contagion of supply chain finance: An empirical analysis of supply chain listed companies
Xinpeng Geng, Bing Han, D Y Yang, et al.
PLoS ONE (2024) Vol. 19, Iss. 8, pp. e0306724-e0306724
Open Access
Tarım & Gıda Pazarlamasında KOBİ'lerin Yeni Teknolojiler (Yapay Zeka, Blokzincir, Makine Öğrenmesi ve Nesnelerin İnterneti) ile Dijital Dönüşümü ve Başarı Faktörleri
Hüseyin Fatih Atlı
İnsan ve Toplum Bilimleri Araştırmaları Dergisi (2024) Vol. 13, Iss. 3, pp. 1192-1218
Open Access
A novel approach to screening patents for securitization: a machine learning-based predictive analysis of high-quality basic asset
Cheng Liu, Shi Yi, Wenjing Xie, et al.
Kybernetes (2023) Vol. 53, Iss. 2, pp. 763-778
Closed Access | Times Cited: 1
Early warning research on enterprise carbon emission reduction credit risk based on deep learning model under unbalanced data
Zhi Long, Xiangzhou Chen
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 1
Page 1

Scroll to top