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 proposed corporate distress and recovery prediction score based on financial and economic components
Bruno Figlioli, Fabiano Guasti Lima
Expert Systems with Applications (2022) Vol. 197, pp. 116726-116726
Closed Access | Times Cited: 8
Bruno Figlioli, Fabiano Guasti Lima
Expert Systems with Applications (2022) Vol. 197, pp. 116726-116726
Closed Access | Times Cited: 8
Showing 8 citing articles:
Digital finance and regional economic resilience: Evidence from 283 cities in China
Shiying Hou, Yining Zhang, Liangrong Song
Heliyon (2023) Vol. 9, Iss. 10, pp. e21086-e21086
Open Access | Times Cited: 23
Shiying Hou, Yining Zhang, Liangrong Song
Heliyon (2023) Vol. 9, Iss. 10, pp. e21086-e21086
Open Access | Times Cited: 23
Design and Application of a Financial Distress Early Warning Model Based on Data Reasoning and Pattern Recognition
Xiaoya Hu
Advances in Multimedia (2022) Vol. 2022, pp. 1-9
Open Access | Times Cited: 3
Xiaoya Hu
Advances in Multimedia (2022) Vol. 2022, pp. 1-9
Open Access | Times Cited: 3
Autoencoder as Feature Extraction Technique for Financial Distress Classification
Dovilė Kuizinienė, Paulius Savickas, Tomas Krilavičius
Communications in computer and information science (2024), pp. 71-86
Closed Access
Dovilė Kuizinienė, Paulius Savickas, Tomas Krilavičius
Communications in computer and information science (2024), pp. 71-86
Closed Access
Balancing Techniques for Advanced Financial Distress Detection Using Artificial Intelligence
Dovilė Kuizinienė, Tomas Krilavičius
Electronics (2024) Vol. 13, Iss. 8, pp. 1596-1596
Open Access
Dovilė Kuizinienė, Tomas Krilavičius
Electronics (2024) Vol. 13, Iss. 8, pp. 1596-1596
Open Access
Could Textual Features Offer Incremental Information to Financial Distress Prediction? Evidence from the Listed Firm in China
Liyuan Zheng, Pengqun Gao, Lianghui Feng, et al.
Scientific Programming (2023) Vol. 2023, pp. 1-10
Open Access | Times Cited: 1
Liyuan Zheng, Pengqun Gao, Lianghui Feng, et al.
Scientific Programming (2023) Vol. 2023, pp. 1-10
Open Access | Times Cited: 1
Comparison of Financial Distress Prediction Models Using Financial Variables
Sana Ramzan
2021 International Conference on Electrical, Computer and Energy Technologies (ICECET) (2023), pp. 1-7
Closed Access | Times Cited: 1
Sana Ramzan
2021 International Conference on Electrical, Computer and Energy Technologies (ICECET) (2023), pp. 1-7
Closed Access | Times Cited: 1
Un análisis bibliométrico de la predicción de quiebra empresarial con Machine Learning
Yuly Andrea Franco
ODEON (2023), Iss. 22, pp. 87-126
Open Access
Yuly Andrea Franco
ODEON (2023), Iss. 22, pp. 87-126
Open Access
Peran Informasi Fundamental Dalam Memprediksi Financial Distress Perusahaan
Nurjanah Nurjanah, Alyta Shabrina Zusryn, Ananta Hagabean Nasution
Journal of Accounting Management and Economics Research (JAMER) (2022) Vol. 1, Iss. 1, pp. 57-70
Open Access
Nurjanah Nurjanah, Alyta Shabrina Zusryn, Ananta Hagabean Nasution
Journal of Accounting Management and Economics Research (JAMER) (2022) Vol. 1, Iss. 1, pp. 57-70
Open Access
