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:

Determinants of Default in P2P Lending
Carlos Serrano‐Cinca, Begoña Gutiérrez Nieto, Luz López-Palacios
PLoS ONE (2015) Vol. 10, Iss. 10, pp. e0139427-e0139427
Open Access | Times Cited: 300

Showing 1-25 of 300 citing articles:

The emergence of the global fintech market: economic and technological determinants
Christian Haddad, Lars Hornuf
Small Business Economics (2018) Vol. 53, Iss. 1, pp. 81-105
Open Access | Times Cited: 581

Decision support from financial disclosures with deep neural networks and transfer learning
Mathias Kraus, Stefan Feuerriegel
Decision Support Systems (2017) Vol. 104, pp. 38-48
Open Access | Times Cited: 274

The roles of alternative data and machine learning in fintech lending: Evidence from the LendingClub consumer platform
Julapa Jagtiani, Catharine Lemieux
Financial Management (2019) Vol. 48, Iss. 4, pp. 1009-1029
Closed Access | Times Cited: 241

The use of profit scoring as an alternative to credit scoring systems in peer-to-peer (P2P) lending
Carlos Serrano‐Cinca, Begoña Gutiérrez Nieto
Decision Support Systems (2016) Vol. 89, pp. 113-122
Closed Access | Times Cited: 229

Two-stage consumer credit risk modelling using heterogeneous ensemble learning
Monika Papoušková, Petr Hájek
Decision Support Systems (2019) Vol. 118, pp. 33-45
Closed Access | Times Cited: 155

A study on predicting loan default based on the random forest algorithm
Lin Zhu, Dafeng Qiu, Daji Ergu, et al.
Procedia Computer Science (2019) Vol. 162, pp. 503-513
Open Access | Times Cited: 147

Big data, artificial intelligence and machine learning: A transformative symbiosis in favour of financial technology
Duc Khuong Nguyen, Georgios Sermpinis, Charalampos Stasinakis
European Financial Management (2022) Vol. 29, Iss. 2, pp. 517-548
Open Access | Times Cited: 80

How do fintech start-ups affect financial institutions’ performance and default risk?
Christian Haddad, Lars Hornuf
European Journal of Finance (2023) Vol. 29, Iss. 15, pp. 1761-1792
Open Access | Times Cited: 45

P2P Lending Survey
Hongke Zhao, Yong Ge, Qi Liu, et al.
ACM Transactions on Intelligent Systems and Technology (2017) Vol. 8, Iss. 6, pp. 1-28
Closed Access | Times Cited: 121

Explainability of a Machine Learning Granting Scoring Model in Peer-to-Peer Lending
Miller Janny Ariza Garzón, Javier Arroyo, Antonio Caparrini, et al.
IEEE Access (2020) Vol. 8, pp. 64873-64890
Open Access | Times Cited: 118

Multi-class misclassification cost matrix for credit ratings in peer-to-peer lending
Haomin Wang, Gang Kou, Yi Peng
Journal of the Operational Research Society (2020) Vol. 72, Iss. 4, pp. 923-934
Open Access | Times Cited: 96

Wide and deep learning for peer-to-peer lending
Kaveh Bastani, Elham Asgari, Hamed Namavari
Expert Systems with Applications (2019) Vol. 134, pp. 209-224
Open Access | Times Cited: 92

A new aspect on P2P online lending default prediction using meta-level phone usage data in China
Lin Ma, Xi Zhao, Zhili Zhou, et al.
Decision Support Systems (2018) Vol. 111, pp. 60-71
Closed Access | Times Cited: 87

Loan evaluation in P2P lending based on Random Forest optimized by genetic algorithm with profit score
Xin Ye, Lu-an Dong, Da Ma
Electronic Commerce Research and Applications (2018) Vol. 32, pp. 23-36
Closed Access | Times Cited: 86

Predicting loan default in peer‐to‐peer lending using narrative data
Yufei Xia, Lingyun He, Yinguo Li, et al.
Journal of Forecasting (2019) Vol. 39, Iss. 2, pp. 260-280
Closed Access | Times Cited: 83

Financial system modeling using deep neural networks (DNNs) for effective risk assessment and prediction
Jing Duan
Journal of the Franklin Institute (2019) Vol. 356, Iss. 8, pp. 4716-4731
Closed Access | Times Cited: 77

Bio-synthesis of food additives and colorants-a growing trend in future food
Lichao Sun, Fengjiao Xin, Hal S. Alper
Biotechnology Advances (2020) Vol. 47, pp. 107694-107694
Closed Access | Times Cited: 75

Bagging Supervised Autoencoder Classifier for credit scoring
Mahsan Abdoli, Mohammad Akbari, Jamal Shahrabi
Expert Systems with Applications (2022) Vol. 213, pp. 118991-118991
Open Access | Times Cited: 45

Stacking ensemble method for personal credit risk assessment in Peer-to-Peer lending
Wei Yin, Berna Kirkulak-Uludag, Zhu Dongmei, et al.
Applied Soft Computing (2023) Vol. 142, pp. 110302-110302
Closed Access | Times Cited: 26

The role of big data in financial technology toward financial inclusion
David Mhlanga
Frontiers in Big Data (2024) Vol. 7
Open Access | Times Cited: 14

Disrupting Finance
Theo Lynn, John G. Mooney, Pierangelo Rosati, et al.
Palgrave studies in digital business & enabling technologies (2018)
Closed Access | Times Cited: 69

Important factors determining Fintech loan default: Evidence from a lendingclub consumer platform
Christophe Croux, Julapa Jagtiani, Tarunsai Korivi, et al.
Journal of Economic Behavior & Organization (2020) Vol. 173, pp. 270-296
Open Access | Times Cited: 67

Computational approaches and data analytics in financial services: A literature review
Dimitris Andriosopoulos, Michael Doumpos, Pãnos M. Pardalos, et al.
Journal of the Operational Research Society (2019) Vol. 70, Iss. 10, pp. 1581-1599
Open Access | Times Cited: 56

An ensemble semi-supervised learning method for predicting defaults in social lending
Aleum Kim, Sung‐Bae Cho
Engineering Applications of Artificial Intelligence (2019) Vol. 81, pp. 193-199
Closed Access | Times Cited: 55

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