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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:

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: 74

Showing 1-25 of 74 citing articles:

Financial applications of machine learning: A literature review
Noella Nazareth, Y.V. Reddy
Expert Systems with Applications (2023) Vol. 219, pp. 119640-119640
Closed Access | Times Cited: 99
Forecasting movements of stock time series based on hidden state guided deep learning approach
Junji Jiang, Likang Wu, Hongke Zhao, et al.
Information Processing & Management (2023) Vol. 60, Iss. 3, pp. 103328-103328
Closed Access | Times Cited: 27
A novel federated learning approach with knowledge transfer for credit scoring
Zhongyi Wang, Jin Xiao, Lu Wang, et al.
Decision Support Systems (2023) Vol. 177, pp. 114084-114084
Closed Access | Times Cited: 18
Profit- and risk-driven credit scoring under parameter uncertainty: A multiobjective approach
Yong Xu, Gang Kou, Yi Peng, et al.
Omega (2023) Vol. 125, pp. 103004-103004
Open Access | Times Cited: 15
Revolutionizing fluid identification in well logging data with a novel framework of progressive gated transformers and multi-scale temporal features
Wenjing Yin, Hengxiao Li, Zhiyuan Zhao, et al.
Physics of Fluids (2025) Vol. 37, Iss. 1
Closed Access
Predicting financial distress in high-dimensional imbalanced datasets: a multi-heterogeneous self-paced ensemble learning framework
Ruize Gao, Shaoze Cui, Yu Wang, et al.
Financial Innovation (2025) Vol. 11, Iss. 1
Open Access
The Contemporary Landscape of Artificial Intelligence Research: A Systematic Review Approach
Alexandra Adriani Widjaja, Amir Hossein Ghapanchi, Afrooz Purarjomandlangrudi
Communications in computer and information science (2025), pp. 188-205
Closed Access
Optimizing Microchannel Heat Sinks with Rhomboid Vortex Generators: An Artificial Neural Network Approach and its Application in Superconducting Synchronous Condensers
Jiacheng Zhang, Baojun Ge, Jiancheng Zhang, et al.
Case Studies in Thermal Engineering (2025), pp. 105911-105911
Open Access
Profit-based uncertainty estimation with application to credit scoring
Yong Xu, Gang Kou, Daji Ergu
European Journal of Operational Research (2025)
Closed Access
Exploring Trends and Advancements in Financial Distress Prediction Research: A Bibliometric Study
Soumya Ranjan Sethi, Dushyant Mahadik, Rajkiran V. Bilolikar
International Journal of Economics and Financial Issues (2024) Vol. 14, Iss. 1, pp. 164-179
Open Access | Times Cited: 4
Diagnosis with incomplete multi-view data: A variational deep financial distress prediction method
Yating Huang, Zhao Wang, Cuiqing Jiang
Technological Forecasting and Social Change (2024) Vol. 201, pp. 123269-123269
Closed Access | Times Cited: 4
A two-stage case-based reasoning driven classification paradigm for financial distress prediction with missing and imbalanced data
Lean Yu, Mengxin Li, Xiaojun Liu
Expert Systems with Applications (2024) Vol. 249, pp. 123745-123745
Closed Access | Times Cited: 4
Cognitive Modelling of Bankruptcy Risk: A Comparative Analysis of Machine Learning Models to Predict the Bankruptcy
Jahirul Islam, Sabuj Saha, Mahadi Hasan, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 4
Cost-sensitive stacking ensemble learning for company financial distress prediction
Shanshan Wang, Guotai Chi
Expert Systems with Applications (2024) Vol. 255, pp. 124525-124525
Closed Access | Times Cited: 4
Mapping the knowledge structure of artificial neural network research in the stock market: a bibliometric analysis and future research pathways
Manpreet Kaur, Amit Kumar, Anil Kumar Mittal
Benchmarking An International Journal (2024)
Closed Access | Times Cited: 3
Explainable hybrid quantum neural networks for analyzing the influence of tweets on stock price prediction
Manoranjan Gandhudi, Alphonse P.J.A., Ugo Fiore, et al.
Computers & Electrical Engineering (2024) Vol. 118, pp. 109302-109302
Closed Access | Times Cited: 3
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
Enhancing corporate governance through AI: a systematic literature review
Manal Ahdadou, Abdellah Aajly, Mohamed Tahrouch
Technology Analysis and Strategic Management (2024), pp. 1-14
Closed Access | Times Cited: 2
Neural additive time-series models: Explainable deep learning for multivariate time-series prediction
Wonkeun Jo, Dongil Kim
Expert Systems with Applications (2023) Vol. 228, pp. 120307-120307
Closed Access | Times Cited: 7
Coverage Area Maximization Using MOFAC-GA-PSO Hybrid Algorithm in Energy Efficient WSN Design
Sudip Kumar De, A. Banerjee, Koushik Majumder, et al.
IEEE Access (2023) Vol. 11, pp. 99901-99917
Open Access | Times Cited: 5
The Ability of Altman’s Z”-score Model to Detect the Economic Distress of Kazakh Banks
Aigul P. Salina, Xin Zhang, Tong Jiao, et al.
Transformations in banking, finance and regulation (2024), pp. 347-373
Open Access | Times Cited: 1
Enhancing financial distress prediction through integrated Chinese Whisper clustering and federated learning
Amel Ibrahim Al Ali, Sheeja Rani S, Ahmed M. Khedr
Journal of Open Innovation Technology Market and Complexity (2024) Vol. 10, Iss. 3, pp. 100344-100344
Open Access | Times Cited: 1
Are Indonesian construction companies financially distressed? A prediction using artificial neural networks
Farida Titik Kristanti, Zahra Safriza, Dwi Fitrizal Salim
Investment Management and Financial Innovations (2023) Vol. 20, Iss. 2, pp. 41-52
Open Access | Times Cited: 4
Instance-dependent misclassification cost-sensitive learning for default prediction
Jin Xing, Guotai Chi, Ancheng Pan
Research in International Business and Finance (2024) Vol. 69, pp. 102265-102265
Closed Access | Times Cited: 1
Financial Modelling of Metal and Mineral Mining Companies in Indonesia using Altman Z-scores
Titin Agustin Nengsih
Shirkah Journal of Economics and Business (2024) Vol. 9, Iss. 2, pp. 184-197
Open Access | Times Cited: 1
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