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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:

Deep Learning-Based Model for Financial Distress Prediction
Mohamed Elhoseny, Noura Metawa, Gábor Sztanó, et al.
Annals of Operations Research (2022)
Open Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

A novel deep neural network model based Xception and genetic algorithm for detection of COVID-19 from X-ray images
Burak Gülmez
Annals of Operations Research (2022) Vol. 328, Iss. 1, pp. 617-641
Open Access | Times Cited: 41
The role of feature importance in predicting corporate financial distress in pre and post COVID periods: Evidence from China
Shusheng Ding, Tianxiang Cui, Anthony Graham Bellotti, et al.
International Review of Financial Analysis (2023) Vol. 90, pp. 102851-102851
Closed Access | Times Cited: 26
Artificial Intelligence Techniques for Bankruptcy Prediction of Tunisian Companies: An Application of Machine Learning and Deep Learning-Based Models
Manel Hamdi, Sami Mestiri, Adnène Arbi
Journal of risk and financial management (2024) Vol. 17, Iss. 4, pp. 132-132
Open Access | Times Cited: 8
Machine learning technologies on energy economics and finance in times of crisis
M. Kabir Hassan, Mohammad Zoynul Abedin
Annals of Operations Research (2025)
Open Access | Times Cited: 1
Predicting financial distress using current reports: A novel deep learning method based on user-response-guided attention
Chenyang Wu, Cuiqing Jiang, Wang Zhao, et al.
Decision Support Systems (2024) Vol. 179, pp. 114176-114176
Closed Access | Times Cited: 6
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: 5
Machine learning techniques in bankruptcy prediction: A systematic literature review
Απόστολος Δασίλας, Anna Rigani
Expert Systems with Applications (2024) Vol. 255, pp. 124761-124761
Closed Access | Times Cited: 5
Forecasting Financial Distress for Shaping Public Policy: An Empirical Investigation
Soumya Ranjan Sethi, Dushyant Mahadik
Acta Informatica Pragensia (2025) Vol. 14, Iss. 1, pp. 63-87
Open Access
Challenges of Artificial Intelligence for the Prevention and Identification of Bankruptcy Risk in Financial Institutions: A Systematic Review
Luis-Javier Vásquez-Serpa, Ciro Rodríguez, Jhelly Pérez, et al.
Journal of risk and financial management (2025) Vol. 18, Iss. 1, pp. 26-26
Open Access
Integrating deep learning algorithms for forecasting evapotranspiration and assessing crop water stress in agricultural water management
Mahfuzur Rahman, Md Mehedi Hasan, Md Anuwer Hossain, et al.
Journal of Environmental Management (2025) Vol. 375, pp. 124363-124363
Closed Access
LLM-infused bi-level semantic enhancement for corporate credit risk prediction
Sichong Lu, Yi Su, Xiaoming Zhang, et al.
Information Processing & Management (2025) Vol. 62, Iss. 4, pp. 104091-104091
Closed Access
Ensemble learning algorithms based on easyensemble sampling for financial distress prediction
Wei Liu, Yoshihisa Suzuki, Shuyi Du
Annals of Operations Research (2025)
Open 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
Predicting Financial Distress in The Textile Industry: A Comparative Analysis of Meta Models and Single Classifiers
Ahmet Akusta, Musa Gün
Uluslararası Ekonomi İşletme ve Politika Dergisi (2025) Vol. 9, Iss. 1, pp. 20-36
Open Access
Intelligent candlestick forecast system for financial time-series analysis using metaheuristics-optimized multi-output machine learning
Jui‐Sheng Chou, Ngoc‐Mai Nguyen, Chih-Pin Chang
Applied Soft Computing (2022) Vol. 130, pp. 109642-109642
Closed Access | Times Cited: 20
A new financial risk prediction model based on deep learning and quasi-oppositional coot algorithm
Fahad M. Alhomayani, Khalil A. Alruwaitee
Alexandria Engineering Journal (2024) Vol. 108, pp. 60-69
Closed Access | Times Cited: 3
Big data and machine learning-based decision support system to reshape the vaticination of insurance claims
Rachana Jaiswal, Shashank Gupta, Aviral Kumar Tiwari
Technological Forecasting and Social Change (2024) Vol. 209, pp. 123829-123829
Closed Access | Times Cited: 3
Optimization of Enterprise Financial Risk Management and Crisis Early Warning System Supported by AI
Chen Quan, Yu‐Hsi Yuan, Gang Wang, et al.
Journal of Global Information Management (2024) Vol. 32, Iss. 1, pp. 1-21
Open Access | Times Cited: 2
A Hybrid Network Analysis and Machine Learning Model for Enhanced Financial Distress Prediction
Saba Taheri Kadkhoda, Babak Amiri
IEEE Access (2024) Vol. 12, pp. 52759-52777
Open Access | Times Cited: 1
A three-stage prediction model for firm default risk: An integration of text sentiment analysis
Xuejiao Ma, T. Che, Qichuan Jiang
Omega (2024), pp. 103207-103207
Closed 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
Evaluation of Financial Credit Risk Management Models Based on Gradient Descent and Meta-Heuristic Algorithms
Oluwasola S. Maitanmi, Olufunmilola Adunni Ogunyolu, Kuyoro Afolashade
Ingénierie des systèmes d information (2024) Vol. 29, Iss. 4, pp. 1441-1452
Open Access | Times Cited: 1
HY-RISE: Towards Risk Identification Learning from Massive Scientific Economic Activities
Weiwei Zhang, Wenjing Chang, Jianjun Yu, et al.
Procedia Computer Science (2023) Vol. 221, pp. 609-616
Open Access | Times Cited: 2
An Overview of the Use of Deep Learning Algorithms to Predict Bankruptcy
Kamred Udham Singh, Ankit Kumar, Gaurav Kumar, et al.
Lecture notes in networks and systems (2024), pp. 715-726
Closed Access
The Dilemma of Accuracy in Bankruptcy Prediction. A New Approach Using Explainable Ai Techniques to Predict Corporate Crises
Carlo Adornetto, Francesco Fasano, Iliess Zahid, et al.
(2024)
Closed Access
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