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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:

A Robust Deep Learning Model for Financial Distress Prediction
Magdi El‐Bannany, Meenu Sreedharan, Mohsin Y Ahmed
International Journal of Advanced Computer Science and Applications (2020) Vol. 11, Iss. 2
Open Access | Times Cited: 21

Showing 21 citing articles:

Cryptocurrency price prediction using traditional statistical and machine‐learning techniques: A survey
Ahmed M. Khedr, Ifra Arif, Pravija Raj P V, et al.
Intelligent Systems in Accounting Finance & Management (2021) Vol. 28, Iss. 1, pp. 3-34
Closed Access | Times Cited: 116
A Powerful Predicting Model for Financial Statement Fraud Based on Optimized XGBoost Ensemble Learning Technique
Amal Al Ali, Ahmed M. Khedr, Magdi El‐Bannany, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2272-2272
Open Access | Times Cited: 23
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
Machine Learning for Identifying Risk in Financial Statements: A Survey
Elias Zavitsanos, Eirini Spyropoulou, George Giannakopoulos, et al.
ACM Computing Surveys (2025)
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
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
A Comparative Analysis of Machine Learning Classifiers and Ensemble Techniques in Financial Distress Prediction
Meenu Sreedharan, Ahmed M. Khedr, Magdi El‐Bannany
2022 19th International Multi-Conference on Systems, Signals & Devices (SSD) (2020), pp. 653-657
Closed Access | Times Cited: 12
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
Unveiling the diverse efficacy of artificial neural networks and logistic regression: A comparative analysis in predicting financial distress
Amine Sabek
Croatian Review of Economic Business and Social Statistics (2023) Vol. 9, Iss. 1, pp. 16-32
Open Access | Times Cited: 3
Prediction of Financial Statement Fraud using Machine Learning Techniques in UAE
Magdi El‐Bannany, Ahlam H. Dehghan, Ahmed M. Khedr
2022 19th International Multi-Conference on Systems, Signals & Devices (SSD) (2021), pp. 649-654
Closed Access | Times Cited: 7
Advancing financial analytics: Integrating XGBoost, LSTM, and Random Forest Algorithms for precision forecasting of corporate financial distress
Farida Titik Kristanti, Mochamad Yudha Febrianta, Dwi Fitrizal Salim, et al.
Journal of Infrastructure Policy and Development (2024) Vol. 8, Iss. 8, pp. 4972-4972
Open Access
Prediction of cryptocurrency’s price using ensemble machine learning algorithms
N.S.S. Kiranmai Balijepalli, Viswanathan Thangaraj
European Journal of Management and Business Economics (2024)
Open Access
Implement data mining and deep learning techniques to detect financial distress
Dalya Abdulkarim Abdullah, Nashaat Jasim Al-Anber
AIP conference proceedings (2023) Vol. 2591, pp. 020009-020009
Open Access | Times Cited: 1
Crunching Numbers, Making Decisions: Artificial Intelligence and Statistics for Financial Distress Forecasting in Algeria and Saudi Arabia
Amine Sabek, Youcef Saihi
CAFI - Contabilidade Atuária Finanças & Informação (2023) Vol. 6, Iss. 2, pp. 183-201
Open Access | Times Cited: 1
Application of boruta feature selection in enhancing financial distress prediction performance of hybrid MLP_GA
Ahmed M. Khedr, Magdi El‐Bannany, Sakeena Kanakkayil, et al.
(2022), pp. 637-640
Open Access | Times Cited: 1
Predicting the Distress of Financial Intermediaries using Convolutional Neural Networks
Stacey Taylor, Vlado Kešelj
(2021)
Closed Access | Times Cited: 1
Trending Technologies in the Cryptocurrency Market
Hamed Taherdoost
Advances in finance, accounting, and economics book series (2023), pp. 252-275
Closed Access
Quantum Chameleon Swarm with Fuzzy Decision Making Tool for Financial Risk Management
Mohammed Ayad Alkhafaji, S. Abdul Ameer, Ahmed Alawadi, et al.
2022 5th International Conference on Engineering Technology and its Applications (IICETA) (2023), pp. 753-759
Closed Access
FDCN-ML: Forecasting Directional Changes in the NASDAQ Market using Machine Learning
Ahmed M. Khedr, Pravija Raj P V, Magdi El‐Bannany, et al.
2022 19th International Multi-Conference on Systems, Signals & Devices (SSD) (2023), pp. 456-461
Closed Access
FDP-GAMLP: New Financial Distress Prediction Technique based on Genetic Algorithm and Multi-Layer Perceptron
Ahmed M. Khedr, Magdi El‐Bannany, Abdul‐Wahid A. Saif
2022 19th International Multi-Conference on Systems, Signals & Devices (SSD) (2022), pp. 361-366
Closed Access
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