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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:

Corporation financial distress prediction with deep learning: analysis of public listed companies in Malaysia
Zulkifli Halim, Shuhaida Mohamed Shuhidan, Zuraidah Mohd Sanusi
Business Process Management Journal (2021) Vol. 27, Iss. 4, pp. 1163-1178
Closed Access | Times Cited: 19

Showing 19 citing articles:

An explainable artificial intelligence approach for financial distress prediction
Zijiao Zhang, Chong Wu, Shiyou Qu, et al.
Information Processing & Management (2022) Vol. 59, Iss. 4, pp. 102988-102988
Closed Access | Times Cited: 53
BUSINESS PERFORMANCE AND FINANCIAL HEALTH ASSESSMENT THROUGH ARTIFICIAL INTELLIGENCE
Tomáš Krulický, Jakub Horák
Ekonomicko-manazerske spektrum (2021) Vol. 15, Iss. 2, pp. 38-51
Open Access | Times Cited: 34
GALSTM-FDP: A Time-Series Modeling Approach Using Hybrid GA and LSTM for Financial Distress Prediction
Amal Al Ali, Ahmed M. Khedr, Magdi El‐Bannany, et al.
International Journal of Financial Studies (2023) Vol. 11, Iss. 1, pp. 38-38
Open Access | Times Cited: 14
Predicting Financial Distress in India: A Deep Learning Approach
Alay Peralungal, Natchimuthu Natchimuthu
Smart innovation, systems and technologies (2025), pp. 587-603
Closed Access
Reordering-enhanced Grad-CAM for unveiling hidden patterns in multi-source financial data
Zhigang Zhang, Kehui Liu, Junli Lei
Memetic Computing (2025) Vol. 17, Iss. 2
Closed Access
Examining the impact of deep learning technology capability on manufacturing firms: moderating roles of technology turbulence and top management support
Sheshadri Chatterjee, Ranjan Chaudhuri, Demetris Vrontis, et al.
Annals of Operations Research (2022) Vol. 339, Iss. 1-2, pp. 163-183
Open Access | Times Cited: 17
Multi‐class financial distress prediction based on stacking ensemble method
Xiaofang Chen, Wu Chong, Zijiao Zhang, et al.
International Journal of Finance & Economics (2024)
Closed Access | Times Cited: 3
Gated recurrent unit network: A promising approach to corporate default prediction
Michał Thor, Łukasz Postek
Journal of Forecasting (2024) Vol. 43, Iss. 5, pp. 1131-1152
Closed Access | Times Cited: 2
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
Default prediction modeling (DPM) with machine learning algorithms: case of non-financial listed companies in Pakistan
Jahanzaib Alvi, Imtiaz Arif
Kybernetes (2024)
Closed Access | Times Cited: 2
Personal bankruptcy prediction using machine learning techniques
Magdalena Brygała, Tomasz Korol
Economics and Business Review/˜The œPoznań University of Economics Review (2024) Vol. 10, Iss. 2
Open Access | Times Cited: 2
A multi-stage integrated model based on deep neural network for credit risk assessment with unbalanced data
Lu Wang, J N Zheng, Jianrong Yao, et al.
Kybernetes (2024)
Closed Access | Times Cited: 1
Advancing Financial Resilience: A Systematic Review of Default Prediction Models and Future Directions in Credit Risk Management
Jahanzaib Alvi, Imtiaz Arif, Kehkashan Nizam
Heliyon (2024) Vol. 10, Iss. 21, pp. e39770-e39770
Open Access | Times Cited: 1
A deep learning approach of financial distress recognition combining text
Yueyi Li, Chongren Wang
Electronic Research Archive (2023) Vol. 31, Iss. 8, pp. 4683-4707
Open Access | Times Cited: 3
Artificial neural network and decision tree-based modelling of non-prosperity of companies
Marek Ďurica, Jaroslav Frnda, Lucia Švábová
Equilibrium Quarterly Journal of Economics and Economic Policy (2023) Vol. 18, Iss. 4, pp. 1105-1131
Open Access | Times Cited: 3
Financial Distress Analysis of Top 100 Malaysian Public Listed Companies during COVID-19 Pandemic using Altman Z-Score Analysis
Marshita Hashim, Kamaruzzaman Muhammad, Erlana K. Ghani, et al.
International Journal of Economics and Financial Issues (2024) Vol. 14, Iss. 4, pp. 200-205
Open Access
Hybrid Model for Financial Distress Prediction: Evidence from Vietnamese Listed Firms
Oanh Thi Kim Nguyen, Cong Doan Truong, Van Dinh Nguyen, et al.
(2024) Vol. 4, pp. 316-322
Closed Access
Prediction and Analysis of Corporate Financial Distress Based on Random Forest Model and GBDT
Yuwei Cao
SHS Web of Conferences (2024) Vol. 200, pp. 01001-01001
Open Access
استخدام الشبکات العصبیة متعددة الطبقات فی التنبؤ بمخاطر الائتمان لمنشآت الأعمال: دراسة تطبیقیة
حسام د عثمان
مجلة الدراسات المالية والتجارية (2022) Vol. 32, Iss. 1, pp. 169-219
Open Access
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