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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:

Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach
You Zhu, Li Zhou, Chi Xie, et al.
International Journal of Production Economics (2019) Vol. 211, pp. 22-33
Open Access | Times Cited: 295

Showing 1-25 of 295 citing articles:

Supply Chain Finance Innovation Using Blockchain
Mingxiao Du, Qijun Chen, Jie Xiao, et al.
IEEE Transactions on Engineering Management (2020) Vol. 67, Iss. 4, pp. 1045-1058
Closed Access | Times Cited: 321
Artificial intelligence in operations management and supply chain management: an exploratory case study
Petri Helo, Yuqiuge Hao
Production Planning & Control (2021) Vol. 33, Iss. 16, pp. 1573-1590
Open Access | Times Cited: 256
Future of artificial intelligence and its influence on supply chain risk management – A systematic review
A. Deiva Ganesh, P. Kalpana
Computers & Industrial Engineering (2022) Vol. 169, pp. 108206-108206
Closed Access | Times Cited: 115
Supply chain risk management with machine learning technology: A literature review and future research directions
Mei Yang, Ming K. Lim, Yingchi Qu, et al.
Computers & Industrial Engineering (2022) Vol. 175, pp. 108859-108859
Open Access | Times Cited: 72
Data science and big data analytics: a systematic review of methodologies used in the supply chain and logistics research
Hamed Jahani, Richa Jain, Dmitry Ivanov
Annals of Operations Research (2023)
Open Access | Times Cited: 72
Credit risk prediction of SMEs in supply chain finance by fusing demographic and behavioral data
Wen Zhang, Shaoshan Yan, Jian Li, et al.
Transportation Research Part E Logistics and Transportation Review (2022) Vol. 158, pp. 102611-102611
Closed Access | Times Cited: 68
The role of artificial intelligence in the procurement process: State of the art and research agenda
Michela Guida, Federico Caniato, Antonella Moretto, et al.
Journal of Purchasing and Supply Management (2023) Vol. 29, Iss. 2, pp. 100823-100823
Open Access | Times Cited: 41
Examining the research taxonomy of artificial intelligence, deep learning & machine learning in the financial sphere—a bibliometric analysis
Ajithakumari Vijayappan Nair Biju, Ann Susan Thomas, J Thasneem
Quality & Quantity (2023) Vol. 58, Iss. 1, pp. 849-878
Open Access | Times Cited: 41
FinTech: a literature review of emerging financial technologies and applications
Gang Kou, Yang Lu
Financial Innovation (2025) Vol. 11, Iss. 1
Open Access | Times Cited: 4
Predicting customer demand for remanufactured products: A data-mining approach
Truong Van Nguyen, Li Zhou, Alain Yee‐Loong Chong, et al.
European Journal of Operational Research (2019) Vol. 281, Iss. 3, pp. 543-558
Open Access | Times Cited: 143
Forecasting credit ratings of decarbonized firms: Comparative assessment of machine learning models
Baojun Yu, Changming Li, Nawazish Mirza, et al.
Technological Forecasting and Social Change (2021) Vol. 174, pp. 121255-121255
Closed Access | Times Cited: 101
Machine learning towards intelligent systems: applications, challenges, and opportunities
MohammadNoor Injadat, Abdallah Moubayed, Ali Bou Nassif, et al.
Artificial Intelligence Review (2021) Vol. 54, Iss. 5, pp. 3299-3348
Closed Access | Times Cited: 99
A model integrating lean and green practices for viable, sustainable, and digital supply chain performance
Kamar Zekhnini, Anass Cherrafi, Imane Bouhaddou, et al.
International Journal of Production Research (2021) Vol. 60, Iss. 21, pp. 6529-6555
Closed Access | Times Cited: 96
The role of digital transformation to empower supply chain finance: current research status and future research directions (Guest editorial)
Lujie Chen, Antonella Moretto, Fu Jia, et al.
International Journal of Operations & Production Management (2021) Vol. 41, Iss. 4, pp. 277-288
Open Access | Times Cited: 91
Financial distress prediction using a corrected feature selection measure and gradient boosted decision tree
Hongyi Qian, Baohui Wang, Minghe Yuan, et al.
Expert Systems with Applications (2021) Vol. 190, pp. 116202-116202
Closed Access | Times Cited: 85
A novel dynamic credit risk evaluation method using data envelopment analysis with common weights and combination of multi-attribute decision-making methods
Jalil Heidary Dahooie, Seyed Hossein Razavi Hajiagha, Shima Farazmehr, et al.
Computers & Operations Research (2021) Vol. 129, pp. 105223-105223
Closed Access | Times Cited: 80
Operations strategy for supply chain finance with asset-backed securitization: Centralization and blockchain adoption
Ciwei Dong, Chenyi Chen, Xiutian Shi, et al.
International Journal of Production Economics (2021) Vol. 241, pp. 108261-108261
Closed Access | Times Cited: 80
Log-flock: A blockchain-enabled platform for digital asset valuation and risk assessment in E-commerce logistics financing
Arjun Rachana Harish, X.L. Liu, Ray Y. Zhong, et al.
Computers & Industrial Engineering (2020) Vol. 151, pp. 107001-107001
Closed Access | Times Cited: 73
An ensemble machine learning approach for forecasting credit risk of agricultural SMEs’ investments in agriculture 4.0 through supply chain finance
Amine Belhadi, Sachin Kamble, Venkatesh Mani, et al.
Annals of Operations Research (2021)
Open Access | Times Cited: 69
Mitigating information asymmetry in inventory pledge financing through the Internet of things and blockchain
Li-Xin Liu, Zuopeng Zhang, Wu He, et al.
Journal of Enterprise Information Management (2021) Vol. 34, Iss. 5, pp. 1429-1451
Closed Access | Times Cited: 68
Forecasting SMEs’ credit risk in supply chain finance with a sampling strategy based on machine learning techniques
Liukai Wang, Fu Jia, Lujie Chen, et al.
Annals of Operations Research (2022) Vol. 331, Iss. 1, pp. 1-33
Closed Access | Times Cited: 65
Sustainable Supply Chain Finance and Supply Networks: The Role of Artificial Intelligence
Femi Olan, Emmanuel Ogiemwonyi Arakpogun, Uchitha Jayawickrama, et al.
IEEE Transactions on Engineering Management (2022), pp. 1-16
Open Access | Times Cited: 61
A novel ensemble feature selection method by integrating multiple ranking information combined with an SVM ensemble model for enterprise credit risk prediction in the supply chain
Gang Yao, Xiaojian Hu, Guanxiong Wang
Expert Systems with Applications (2022) Vol. 200, pp. 117002-117002
Closed Access | Times Cited: 54
Combining weighted SMOTE with ensemble learning for the class-imbalanced prediction of small business credit risk
Mohammad Zoynul Abedin, Guotai Chi, Petr Hájek, et al.
Complex & Intelligent Systems (2022) Vol. 9, Iss. 4, pp. 3559-3579
Open Access | Times Cited: 50
Risk assessment in supply chains: a state-of-the-art review of methodologies and their applications
Nishat Alam Choudhary, Shalabh Singh, Tobias Schoenherr, et al.
Annals of Operations Research (2022) Vol. 322, Iss. 2, pp. 565-607
Open Access | Times Cited: 41
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