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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:

On logit and artificial neural networks in corporate distress modelling for Zimbabwe listed corporates
Louisa Muparuri, Victor Gumbo
Sustainability Analytics and Modeling (2022) Vol. 2, pp. 100006-100006
Open Access | Times Cited: 16

Showing 16 citing articles:

The accuracy of artificial neural networks and logit models in predicting the companies’ financial distress
Farida Titik Kristanti, Vania Dhaniswara
Journal of technology management & innovation (2023) Vol. 18, Iss. 3, pp. 42-50
Open Access | Times Cited: 6
Proposed Business Strategy to Ensure Continuity in Construction Company (Study Case of PT Rekayasa Industri)
Romicere Cordias, Erman Arif Sumirat, Sylviana Maya Damayanti
International Journal of Current Science Research and Review (2024) Vol. 07, Iss. 07
Open Access | Times Cited: 1
Forecasting Financial Distress for Organizational Sustainability: An Empirical Analysis
Soumya Ranjan Sethi, Dushyant Mahadik
Sustainable Futures (2024), pp. 100429-100429
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
Determinants of Default Probability for Audited and Unaudited SMEs under Stressed Conditions in Zimbabwe
Frank Ranganai Matenda, Mabutho Sibanda
Economies (2022) Vol. 10, Iss. 11, pp. 274-274
Open Access | Times Cited: 3
Evaluating the efficacy of financial distress prediction models in Malaysian public listed companies
Asmahani Nayan, Mohd Rijal Ilias, Siti Shuhada Ishak, et al.
International Journal of ADVANCED AND APPLIED SCIENCES (2024) Vol. 11, Iss. 2, pp. 1-7
Open Access
HANEHALKI FİNANSAL VARLIK SEÇİMİNİN SOSYAL BELİRLEYİCİLERİ
Behice Canatan, Gökhan Özbilge, Egemen İPEK
Uluslararası İktisadi ve İdari İncelemeler Dergisi (2024), Iss. 43, pp. 91-108
Open Access
Improving Prediction Accuracy using Random Forest Algorithm
Nesma E. ElSayed, Sherif Abd Elaleem, Mohamed Marie
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 4
Open Access
Financial distress analysis for the prediction of corporate bankruptcy – a case study of a public sector company in India
A. V. Rejimon, M. Usha
Salud Ciencia y Tecnología - Serie de Conferencias (2024) Vol. 3, pp. 904-904
Open Access
Strategic Overhaul: Reframing Data Integration for Optimal AI Utilization
Dwi Mariyono, Akmal Nur Alif Hidayatullah
SSRN Electronic Journal (2024)
Closed Access
Artificial Factors Within the Logit Bankruptcy Model with a Moved Threshold
Michaela Staňková
Computational Economics (2024)
Closed 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
Predicting Financial Distress in Indonesian Companies using Machine Learning
Farida Titik Kristanti, Mochamad Yudha Febrianta, Dwi Fitrizal Salim, et al.
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 6, pp. 17644-17649
Open Access
Harnessing Big Data and AI for Predictive Insights: Assessing Bankruptcy Risk in Indonesian Stocks
Maureen Marsenne, Tubagus Ismail, Muhamad Taqi, et al.
Data & Metadata (2024) Vol. 3
Closed Access
Analisis Financial Distress pada Perusahaan Konstruksi selama PSBB-PPKM era COVID-19 di Indonesia
Lucky Satria Budiman
Reviu Akuntansi Manajemen dan Bisnis (2023) Vol. 3, Iss. 2, pp. 123-150
Open Access | Times Cited: 1
Artificial Neural Network for Financial Distress Prediction on Energy Companies Listed in Indonesia
Farida TitikKristanti, I Putu Arya Budi Mahardika
(2023), pp. 1-6
Closed Access
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