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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:

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

Showing 1-25 of 92 citing articles:

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
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
Resampling ensemble model based on data distribution for imbalanced credit risk evaluation in P2P lending
Kun Niu, Zaimei Zhang, Yan Liu, et al.
Information Sciences (2020) Vol. 536, pp. 120-134
Closed Access | Times Cited: 97
Making costly manufacturing smart with transfer learning under limited data: A case study on composites autoclave processing
Milad Ramezankhani, Bryn Crawford, Apurva Narayan, et al.
Journal of Manufacturing Systems (2021) Vol. 59, pp. 345-354
Closed Access | Times Cited: 56
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
Credit scoring methods: Latest trends and points to consider
Anton Markov, Zinaida Seleznyova, Victor Lapshin
The Journal of Finance and Data Science (2022) Vol. 8, pp. 180-201
Open Access | Times Cited: 40
Consumer credit risk assessment: A review from the state-of-the-art classification algorithms, data traits, and learning methods
Xiaoming Zhang, Lean Yu
Expert Systems with Applications (2023) Vol. 237, pp. 121484-121484
Closed Access | Times Cited: 27
A novel approach to define the local region of dynamic selection techniques in imbalanced credit scoring problems
Leopoldo Melo, Franco Maria Nardini, Chiara Renso, et al.
Expert Systems with Applications (2020) Vol. 152, pp. 113351-113351
Open Access | Times Cited: 55
Modelling customers credit card behaviour using bidirectional LSTM neural networks
Maher Alaraj, Maysam Abbod, Munir Majdalawieh
Journal Of Big Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 46
A novel hybrid ensemble model based on tree-based method and deep learning method for default prediction
Hongliang He, Yanli Fan
Expert Systems with Applications (2021) Vol. 176, pp. 114899-114899
Closed Access | Times Cited: 44
Default or profit scoring credit systems? Evidence from European and US peer-to-peer lending markets
Štefan Lyócsa, Petra Vašaničová, Branka Hadji Misheva, et al.
Financial Innovation (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 30
Explainable FinTech lending
Golnoosh Babaei, Paolo Giudici, Emanuela Raffinetti
Journal of Economics and Business (2023) Vol. 125-126, pp. 106126-106126
Open Access | Times Cited: 22
A multi-objective instance-based decision support system for investment recommendation in peer-to-peer lending
Golnoosh Babaei, Shahrooz Bamdad
Expert Systems with Applications (2020) Vol. 150, pp. 113278-113278
Closed Access | Times Cited: 47
A Novel Method for Credit Scoring Based on Cost-Sensitive Neural Network Ensemble
Wirot Yotsawat, Pakaket Wattuya, Anongnart Srivihok
IEEE Access (2021) Vol. 9, pp. 78521-78537
Open Access | Times Cited: 36
A deep learning model for behavioural credit scoring in banks
Maher Alaraj, Maysam Abbod, Munir Majdalawieh, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 8, pp. 5839-5866
Closed Access | Times Cited: 27
Construction of a financial default risk prediction model based on the LightGBM algorithm
Bo Gao, Vipin Balyan
Journal of Intelligent Systems (2022) Vol. 31, Iss. 1, pp. 767-779
Open Access | Times Cited: 23
Forecasting peer-to-peer platform default rate with LSTM neural network
Longyue Liang, Xuanye Cai
Electronic Commerce Research and Applications (2020) Vol. 43, pp. 100997-100997
Closed Access | Times Cited: 39
Credit risk modeling on data with two timestamps in peer-to-peer lending by gradient boosting
Ligang Zhou, Hamido Fujita, Hao Ding, et al.
Applied Soft Computing (2021) Vol. 110, pp. 107672-107672
Closed Access | Times Cited: 30
Crowdlending: mapping the core literature and research frontiers
Samuel Ribeiro‐Navarrete, Juan Piñeiro Chousa, Ángeles López Cabarcos, et al.
Review of Managerial Science (2021) Vol. 16, Iss. 8, pp. 2381-2411
Open Access | Times Cited: 29
A predictive intelligence system of credit scoring based on deep multiple kernel learning
Cheng-Feng Wu, Shian-Chang Huang, Chei‐Chang Chiou, et al.
Applied Soft Computing (2021) Vol. 111, pp. 107668-107668
Closed Access | Times Cited: 28
Profit scoring for credit unions using the multilayer perceptron, XGBoost and TabNet algorithms: Evidence from Peru
Rodrigo Asencios, Christian Asencios, Efrain Ramos
Expert Systems with Applications (2022) Vol. 213, pp. 119201-119201
Closed Access | Times Cited: 22
Deep reinforcement learning based on balanced stratified prioritized experience replay for customer credit scoring in peer-to-peer lending
Yadong Wang, Yanlin Jia, Sha Fan, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 4
Open Access | Times Cited: 4
A Bivariate Model for Correlated and Mixed Outcomes: A Case Study on the Simultaneous Prediction of Credit Risk and Profitability of Peer-to-Peer (P2P) Loans
Yan Wang, Xuelei Sherry Ni, Huan Ni, et al.
Risks (2025) Vol. 13, Iss. 2, pp. 33-33
Open Access
α -threshold networks in credit risk models
Eduard Baumöhl, Štefan Lyócsa
Quantitative Finance (2025), pp. 1-23
Open Access
Investment decision making for large-scale Peer-to-Peer lending data: A Bayesian Neural Network approach
Yanhong Guo, Yonghui Zhai, Shuai Jiang
International Review of Financial Analysis (2025), pp. 104100-104100
Closed Access
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