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:

Comparative analysis of methods for forecasting bankruptcies of Russian construction companies
Alexander Karminsky, Roman Burekhin
Business Informatics (2019) Vol. 13, Iss. 3, pp. 52-66
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Predicting Construction Company Insolvent Failure: A Scientometric Analysis and Qualitative Review of Research Trends
Jun Wang, Mao Li, Martin Skitmore, et al.
Sustainability (2024) Vol. 16, Iss. 6, pp. 2290-2290
Open Access | Times Cited: 8

Predicting Financial Distress of Slovak Enterprises: Comparison of Selected Traditional and Learning Algorithms Methods
Elena Gregová, Katarína Valašková, Peter Adamko, et al.
Sustainability (2020) Vol. 12, Iss. 10, pp. 3954-3954
Open Access | Times Cited: 65

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

A macroeconomic analysis of insolvency in the UK construction industry
Ping Yung, Abdullahi B. Saka, Sam Edward Caborn
Engineering Construction & Architectural Management (2025)
Closed Access

Short-term Gini coefficient estimation using nonlinear autoregressive multilayer perceptron model
Megat Syahirul Amin Megat Ali, Azlee Zabidi, Nooritawati Md Tahir, et al.
Heliyon (2024) Vol. 10, Iss. 4, pp. e26438-e26438
Open Access | Times Cited: 2

Identification of human resource analytics using machine learning algorithms
Elham Mohammed Thabit A. Alsaadi, Sameerah Faris Khlebus, Ashwak Alabaichi
TELKOMNIKA (Telecommunication Computing Electronics and Control) (2022) Vol. 20, Iss. 5, pp. 1004-1004
Open Access | Times Cited: 12

Impact of macroeconomic indicators on bankruptcy prediction models: Case of the Portuguese construction sector
Ana Sousa, Ana Cristina Braga, Jorge Cunha
Quantitative Finance and Economics (2022) Vol. 6, Iss. 3, pp. 405-432
Open Access | Times Cited: 8

Forecasting financial distress in listed Chinese construction firms: leveraging ensemble learning and non-financial variables
Jun Wang, Mao Li, Matthew Moorehead, et al.
Construction Management and Economics (2024), pp. 1-21
Closed Access | Times Cited: 1

Predicting Insolvency of the Construction Companies in the Creditworthiness Assessment Process—Empirical Evidence from Poland
Rafał Balina, Marta Idasz-Balina, Noer Azam Achsani
Journal of risk and financial management (2021) Vol. 14, Iss. 10, pp. 453-453
Open Access | Times Cited: 8

Dynamic modeling of the impact of socio-economic restrictions and behavior on COVID-19 outbreak
Михаил Помазанов, Artem Arkhipov, Alexander Karminsky
Eurasian economic review (2021) Vol. 11, Iss. 3, pp. 469-487
Open Access | Times Cited: 4

Default Prediction for Russian Food Service Firms: Contribution of Non-Financial Factors and Machine Learning
Egor O. Bukharin, Sofia I. Mangileva, Vladislav V. Afanasev
Journal of Applied Economic Research (2024) Vol. 23, Iss. 1, pp. 206-226
Open Access

Analysis of Human Resource Predictive Models Utilizing Machine Learning
Vaishali Rahate, Vandana Mohanty, Amishi Arora, et al.
(2023), pp. 145-150
Closed Access | Times Cited: 1

Bankruptcy Risk Factors of Russian Companies
A. A. Zhukov, Egor D. Nikulin, D. A. Shchuchkin
Finance Theory and Practice (2022) Vol. 26, Iss. 6, pp. 131-155
Open Access | Times Cited: 2

Using the Legacy of the 2018 FIFA World Cup in the Constituent Entities of the Volga Federal District
Olga E. Valkova, Vyacheslav M. Kitsis
REGIONOLOGY (2020) Vol. 28, Iss. 2, pp. 261-278
Open Access | Times Cited: 2

Competitiveness of the University as a Hybrid Structure in the Regional Educational Space
Inna V. Zakharova
REGIONOLOGY (2020) Vol. 28, Iss. 2, pp. 377-399
Open Access | Times Cited: 1

Foreign European Countries: Development of the Service Sector according to the Composite Purchasing Managers’ Index
Danil A. Lisin, Irina А. Semina, L. Folomeykina
REGIONOLOGY (2020) Vol. 28, Iss. 2, pp. 214-238
Open Access | Times Cited: 1

Features of Public Perception of Corruption-Related Crimes in the Nizhny Novgorod Region: A Criminological and Sociological Analysis
Anna A. Gluhova, A. A. Iudin, Dmitry Shpilev
REGIONOLOGY (2020) Vol. 28, Iss. 2, pp. 350-376
Open Access | Times Cited: 1

DECISION SUPPORT SYSTEM ON ISSUANCE OF BANK GUARANTEES ON THE BASIS OF FORECASTING THE PERFORMANCE OF CONTRACTS USING MACHINE LEARNING METHODS AND PARSING TECHNOLOGIES
S.A. Korchagin, Elena Petrovna Dogadina, V.V. Melentiev, et al.
Современные наукоемкие технологии (Modern High Technologies) (2023), Iss. №7 2023, pp. 41-47
Open Access

Machine Learning Techniques in Bankruptcy Prediction: A Systematic Literature Review
Απόστολος Δασίλας, Anna Rigani
(2023)
Closed Access

APPLICATION OF THE PEARSON CRITERION FOR PROCESS STABILITY
D.V. Kharitonov, A.V. Groshev, A.A. Ramazanova, et al.
Современные наукоемкие технологии (Modern High Technologies) (2023), Iss. №9 2023, pp. 61-67
Open Access

MATHEMATICAL MODEL OF THE DECISION-MAKING PROCESS ON CARRYING OUT COSMETIC REPAIRS OF PREMISES
V.S. Kachalin, A.V. Kalugin
Современные наукоемкие технологии (Modern High Technologies) (2023), Iss. №10 2023, pp. 45-54
Open Access

Improving the Process of Managing the IT Infrastructure of an Enterprise in the Energy Sector of the Republic of Mordovia
Svetlana V. Bazhanova, Ekaterina V. Uchvatkina
REGIONOLOGY (2020) Vol. 28, Iss. 2, pp. 239-260
Open Access



REGIONOLOGY (2020) Vol. 28, Iss. 2
Open Access

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