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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:

Graph convolutional network-based credit default prediction utilizing three types of virtual distances among borrowers
Jong Wook Lee, Won Kyung Lee, So Young Sohn
Expert Systems with Applications (2020) Vol. 168, pp. 114411-114411
Closed Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

Predicting financial distress using multimodal data: An attentive and regularized deep learning method
Wanliu Che, Zhao Wang, Cuiqing Jiang, et al.
Information Processing & Management (2024) Vol. 61, Iss. 4, pp. 103703-103703
Open Access | Times Cited: 15
A Review on Graph Neural Network Methods in Financial Applications
Jianian Wang, Sheng Zhang, Yanghua Xiao, et al.
Journal of Data Science (2022), pp. 111-134
Open Access | Times Cited: 63
A new multi-data-driven spatiotemporal PM2.5 forecasting model based on an ensemble graph reinforcement learning convolutional network
Xinwei Liu, Muchuan Qin, Yue He, et al.
Atmospheric Pollution Research (2021) Vol. 12, Iss. 10, pp. 101197-101197
Closed Access | Times Cited: 56
A new ensemble deep graph reinforcement learning network for spatio-temporal traffic volume forecasting in a freeway network
Pan Shang, Xinwei Liu, Chengqing Yu, et al.
Digital Signal Processing (2022) Vol. 123, pp. 103419-103419
Closed Access | Times Cited: 43
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: 26
Prediction of gas concentration evolution with evolutionary attention-based temporal graph convolutional network
Lei Cheng, Li Li, Sai Li, et al.
Expert Systems with Applications (2022) Vol. 200, pp. 116944-116944
Closed Access | Times Cited: 35
An explainable data-driven decision support framework for strategic customer development
Mohsen Abbaspour Onari, Mustafa Jahangoshai Rezaee, Morteza Saberi, et al.
Knowledge-Based Systems (2024) Vol. 295, pp. 111761-111761
Open Access | Times Cited: 7
Leveraging network topology for credit risk assessment in P2P lending: A comparative study under the lens of machine learning
Yiting Liu, Lennart John Baals, Joerg Osterrieder, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124100-124100
Open Access | Times Cited: 7
Assessing financial distress of SMEs through event propagation: An adaptive interpretable graph contrastive learning model
Jianfei Wang, Cuiqing Jiang, Lina Zhou, et al.
Decision Support Systems (2024) Vol. 180, pp. 114195-114195
Closed Access | Times Cited: 6
Network centrality and credit risk: A comprehensive analysis of peer-to-peer lending dynamics
Yiting Liu, Lennart John Baals, Joerg Osterrieder, et al.
Finance research letters (2024) Vol. 63, pp. 105308-105308
Open Access | Times Cited: 6
Clues from networks: quantifying relational risk for credit risk evaluation of SMEs
Jingjing Long, Cuiqing Jiang, Stanko Dimitrov, et al.
Financial Innovation (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 21
Multiscale patch-based feature graphs for image classification
Matheus Vinícius Todescato, Luan Fonseca Garcia, Dennis Giovani Balreira, et al.
Expert Systems with Applications (2023) Vol. 235, pp. 121116-121116
Closed Access | Times Cited: 12
Attention-based dynamic multilayer graph neural networks for loan default prediction
Sahab Zandi, Kamesh Korangi, María Óskarsdóttir, et al.
European Journal of Operational Research (2024)
Open Access | Times Cited: 4
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
Improved credit risk prediction based on an integrated graph representation learning approach with graph transformation
Yong Shi, Yi Qu, Zhensong Chen, et al.
European Journal of Operational Research (2023) Vol. 315, Iss. 2, pp. 786-801
Closed Access | Times Cited: 9
Two‐stage credit risk prediction framework based on three‐way decisions with automatic threshold learning
Yusheng Li, Mengyi Sha
Journal of Forecasting (2024) Vol. 43, Iss. 5, pp. 1263-1277
Closed Access | Times Cited: 3
Personal credit default prediction fusion framework based on self-attention and cross-network algorithms
Di Han, Wei Guo, Yi Chen, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 107977-107977
Closed Access | Times Cited: 2
Retail atmospherics effect on store performance and personalised shopper behaviour: a cognitive computing approach
Rajat Kumar Behera, Pradip Kumar Bala, Sai Vijay Tata, et al.
International Journal of Emerging Markets (2021) Vol. 18, Iss. 8, pp. 1948-1977
Closed Access | Times Cited: 16
Interpretable high-stakes decision support system for credit default forecasting
Weixin Sun, X. J. Zhang, Ming‐Hao Li, et al.
Technological Forecasting and Social Change (2023) Vol. 196, pp. 122825-122825
Closed Access | Times Cited: 6
Forecasting credit default risk with graph attention networks
Binbin Zhou, Jiayun Jin, Hang Zhou, et al.
Electronic Commerce Research and Applications (2023) Vol. 62, pp. 101332-101332
Closed Access | Times Cited: 6
Assessing bank default determinants via machine learning
Valentina Lagasio, Francesca Pampurini, Annagiulia Pezzola, et al.
Information Sciences (2022) Vol. 618, pp. 87-97
Closed Access | Times Cited: 10
Static or dynamic? Characterize and forecast the evolution of urban crime distribution
Qing Zhu, Fan Zhang, Shan Liu, et al.
Expert Systems with Applications (2021) Vol. 190, pp. 116115-116115
Closed Access | Times Cited: 11
Representing and discovering heterogeneous interactions for financial risk assessment of SMEs
Jianfei Wang, Cuiqing Jiang, Lina Zhou, et al.
Expert Systems with Applications (2024) Vol. 247, pp. 123330-123330
Closed Access | Times Cited: 1
Identifying and predicting default borrowers in P2P lending platform: A machine learning approach
Alok Kumar Sharma, Li-Hua Li, Ramli Ahmad
(2021), pp. 1-5
Closed Access | Times Cited: 6
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