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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:

Loan default prediction of Chinese P2P market: a machine learning methodology
Junhui Xu, Zekai Lu, Ying Xie
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Financial distress prediction using integrated Z-score and multilayer perceptron neural networks
Desheng Wu, Xiyuan Ma, David L. Olson
Decision Support Systems (2022) Vol. 159, pp. 113814-113814
Open Access | Times Cited: 73
An improved Grey Wolf Optimization based heuristic initialization algorithm for feature selection in P2P lending default prediction
Muhammad Sam’an, Mustafa Mat Deris, Farikhin
International Journal of Computers and Applications (2025), pp. 1-11
Closed Access
Leveraging Multi-source Data for Local Government Financing Vehicles Debt Risk Assessment Via Random Forests
Kejia Li, Zhen‐Song Chen
International Journal of Computational Intelligence Systems (2025) Vol. 18, Iss. 1
Open Access
Artificial intelligence-driven rechargeable batteries in multiple fields of development and application towards energy storage
Zheng Li, Shuqing Zhang, Hao Huang, et al.
Journal of Energy Storage (2023) Vol. 73, pp. 108926-108926
Closed Access | Times Cited: 15
Current update and prospects in the development of conductive metal-organic framework electrodes for lithium-based batteries
Samuel O. Ajayi, Tarekegn Heliso Dolla, Ludwe L. Sikeyi, et al.
Materials Today Sustainability (2024) Vol. 27, pp. 100899-100899
Open Access | Times Cited: 4
Machine Learning Models for Predicting Bank Loan Eligibility
Ugochukwu Orji, Chikodili Ugwuishiwu, Joseph. C. N. Nguemaleu, et al.
2022 IEEE Nigeria 4th International Conference on Disruptive Technologies for Sustainable Development (NIGERCON) (2022), pp. 1-5
Closed Access | Times Cited: 13
Improving credit risk assessment in P2P lending with explainable machine learning survival analysis
Gero Friedrich Bone-Winkel, Felix Reichenbach
Digital Finance (2024) Vol. 6, Iss. 3, pp. 501-542
Open Access | Times Cited: 2
Application of Support Vector Machine Algorithm in Automated Lending Protocols for Decentralized Finance Platforms
C. V. Suresh Babu, M. Sudhir, George Kishore L., et al.
Advances in finance, accounting, and economics book series (2024), pp. 1-20
Closed Access | Times Cited: 2
Feature selection in peer-to-peer lending based on hybrid modified grey wolf optimization with optimized decision tree for credit risk assessment
Muhammad Sam’an, Mustafa Mat Deris, Farikhin
International Journal of Management Science and Engineering Management (2024), pp. 1-18
Closed Access | Times Cited: 2
Ensemble based Machine Learning Algorithm for Loan Default Risk Prediction
Abisola Akinjole, Olamilekan Shobayo, Jumoke Popoola, et al.
(2024)
Open Access | Times Cited: 2
Using machine learning to investigate the determinants of loan default in P2P lending: Are there differences between before and during COVID-19?
Qi Xu, Caixia Liu, Jing Luo, et al.
Pacific-Basin Finance Journal (2024), pp. 102550-102550
Closed Access | Times Cited: 1
Reimagining Peer-to-Peer Lending Sustainability: Unveiling Predictive Insights with Innovative Machine Learning Approaches for Loan Default Anticipation
Ly Nguyen, Mominul Ahsan, Julfikar Haider
FinTech (2024) Vol. 3, Iss. 1, pp. 184-215
Open Access | Times Cited: 1
Ensemble-Based Machine Learning Algorithm for Loan Default Risk Prediction
Abisola Akinjole, Olamilekan Shobayo, Jumoke Popoola, et al.
Mathematics (2024) Vol. 12, Iss. 21, pp. 3423-3423
Open Access | Times Cited: 1
Loan Prediction Software for Financial Institutions
Narayana Darapaneni, Akshay Kumar, Archanna Dixet, et al.
(2022), pp. 1-8
Closed Access | Times Cited: 7
Machine Learning based Loan Eligibility Prediction using Random Forest Model
Chenchireddygari Sudharshan Reddy, Adoni Salauddin Siddiq, N. Jayapandian
2022 7th International Conference on Communication and Electronics Systems (ICCES) (2022), pp. 1073-1079
Closed Access | Times Cited: 7
Predicting acceptance of the bank loan offers by using support vector machines
Mehmet Furkan Akça, Onur Sevli
International Advanced Researches and Engineering Journal (2022) Vol. 6, Iss. 2, pp. 142-147
Open Access | Times Cited: 6
The relevance of traditional and non-traditional borrower data in predicting default in financial co-operatives
Silas Juma, David Mathuva
Journal of Co-operative Organization and Management (2023) Vol. 11, Iss. 1, pp. 100202-100202
Closed Access | Times Cited: 3
Loan Default Prediction Based on Machine Learning Methods
Yuran Zhou
(2023)
Open Access | Times Cited: 3
Machine Learning and Non-Investment Crowdfunding Research: A Tutorial
Ramy Elitzur
Journal of Alternative Finance (2023) Vol. 1, Iss. 1, pp. 109-127
Open Access | Times Cited: 3
Global peer-to-peer lending market
Neslihan Turguttopbaş, İhsan Erdem Kayral
Pressacademia (2023)
Open Access | Times Cited: 2
Artificial Intelligence in Credit Risk Management of Peer-to-Peer Lending Financial Technology: Systematic Literature Review
Ika Diyah Candra Arifah, Ina Uswatun Nihaya
2021 4th International Conference of Computer and Informatics Engineering (IC2IE) (2023), pp. 329-334
Closed Access | Times Cited: 2
Predicting the Risk of SME Loan Repayment using AI Technology-Machine Learning Techniques: A Perspective of Malaysian Financing Institutions
Syahida Abdullah, Zakirah Othman, Roshayu Mohamad
Journal of Advanced Research in Applied Sciences and Engineering Technology (2023) Vol. 31, Iss. 2, pp. 320-326
Open Access | Times Cited: 2
Drivers and consequences of borrowers' voluntary privacy information disclosure—Evidence from a Chinese online consumer financing platform
Xiaodan Zhang, Guoqun Fu, Maiju Guo, et al.
Journal of Consumer Affairs (2024) Vol. 58, Iss. 1, pp. 254-279
Closed Access
Machine Learning-Based Loan Default Prediction in Peer-to-Peer Lending
Ruyi Yang
Highlights in Science Engineering and Technology (2024) Vol. 94, pp. 310-318
Open Access
The Impact of Financial Stress on New Energy Vehicles Industry from Cross-correlation to Explainable Machine Learning: Proof from China
Xingyue Gong, Guozhu Jia
Computational Economics (2024)
Closed Access
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