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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:

Refining understanding of corporate failure through a topological data analysis mapping of Altman’s Z-score model
Wanling Qiu, Simon Rudkin, Paweł Dłotko
Expert Systems with Applications (2020) Vol. 156, pp. 113475-113475
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Survey, classification and critical analysis of the literature on corporate bankruptcy and financial distress prediction
Jinxian Zhao, Jamal Ouenniche, Johannes De Smedt
Machine Learning with Applications (2024) Vol. 15, pp. 100527-100527
Open Access | Times Cited: 16
Topological tail dependence: Evidence from forecasting realized volatility
Hugo Gobato Souto
The Journal of Finance and Data Science (2023) Vol. 9, pp. 100107-100107
Open Access | Times Cited: 14
Do firm, governance, and country characteristics predict financial constraints across GCC stock markets?
Tamer Elshandidy, Hashem Eldash, Nehal Mohammed Allam
Cogent Business & Management (2025) Vol. 12, Iss. 1
Open Access
The role of associated risk in predicting financial distress: A case study of listed agricultural companies in China
Wanjuan Zhang, Jing Wang
Finance research letters (2025), pp. 107125-107125
Closed Access
A novel loss function for neural network models exploring stock realized volatility using Wasserstein Distance
Hugo Gobato Souto, Amir Moradi
Decision Analytics Journal (2023) Vol. 10, pp. 100369-100369
Open Access | Times Cited: 9
Investigation of Indian stock markets using topological data analysis and geometry-inspired network measures
Saumitra Kulkarni, Hirdesh K. Pharasi, Sudharsan Vijayaraghavan, et al.
Physica A Statistical Mechanics and its Applications (2024) Vol. 643, pp. 129785-129785
Open Access | Times Cited: 3
Financial immunity of companies from Indonesian and Shanghai stock exchange during the US-China trade war
Liliana Inggrit Wijaya, Zunairoh Zunairoh, Rizky Eriandani, et al.
Heliyon (2022) Vol. 8, Iss. 2, pp. e08832-e08832
Open Access | Times Cited: 9
An economic topology of the Brexit vote
Simon Rudkin, Lucy Barros, Paweł Dłotko, et al.
Regional Studies (2023) Vol. 58, Iss. 3, pp. 601-618
Open Access | Times Cited: 5
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
Analyzing the barriers to putting corporate financial expropriations to a halt: A structural modeling of the phenomenon
Huang Fu, Kashif Abbass, Tehmina Fiaz Qazi, et al.
Frontiers in Environmental Science (2022) Vol. 10
Open Access | Times Cited: 8
Predictive Analysis of Financial Distress in Pharma Sector: A Quantitative Approach using Altman’s Z-Score Model
Mahdy S. Othman, Razia Nagina, Anjali Saini
International Journal of Religion (2024) Vol. 5, Iss. 11, pp. 1991-2007
Open Access | Times Cited: 1
A generalization of the Topological Tail Dependence theory: From indices to individual stocks
Hugo Gobato Souto, Amir Moradi
Decision Analytics Journal (2024) Vol. 12, pp. 100512-100512
Open Access | Times Cited: 1
Mapping Firms' Locations in Technological Space: A Topological Analysis of Patent Statistics
Emerson G. Escolar, Yasuaki Hiraoka, Mitsuru Igami, et al.
SSRN Electronic Journal (2020)
Open Access | Times Cited: 4
Are Key Audit Matter Disclosures Useful in Assessing Financial Distress?
María‐del‐Mar Camacho‐Miñano, Nora Muñoz‐Izquierdo, Morton Pincus, et al.
SSRN Electronic Journal (2020)
Closed Access | Times Cited: 4
Wasserstein distance loss function for financial time series deep learning
Hugo Gobato Souto, Amir Moradi
Software Impacts (2024) Vol. 20, pp. 100639-100639
Open Access
FinTDA: Python package for estimating market change through persistent homology diagrams
Hugo Gobato Souto, Ismail Baris, Storm Koert Heuvel, et al.
Software Impacts (2024) Vol. 20, pp. 100637-100637
Open Access
Mapper–Type Algorithms for Complex Data and Relations
Paweł Dłotko, Davide Gurnari, Radmila Sazdanović
Journal of Computational and Graphical Statistics (2024) Vol. 33, Iss. 4, pp. 1383-1396
Open Access
Splitting long‐term and short‐term financial ratios for improved financial distress prediction: Evidence from Taiwanese public companies
Asyrofa Rahmi, Chia-Chi Lu, Deron Liang, et al.
Journal of Forecasting (2024) Vol. 43, Iss. 7, pp. 2886-2903
Closed Access
Time-Varying Default Risk of Chinese-Listed Companies: From Empirical Test to Theoretical Conjecture
Zhaohui Qin, Xiaowan Wang, Yijie Chen, et al.
Finance research letters (2024) Vol. 67, pp. 105839-105839
Closed Access
Topological Analysis of the Three-Dimensional Radiodensity Distribution of Fish Otoliths: Point Sampling Effects on Dimensionality Reduction
José R. Valério, Jonas Eloi de Vasconcelos Filho, Borko Stošić, et al.
Micron (2024) Vol. 188, pp. 103731-103731
Closed Access
Return trajectory and the forecastability of bitcoin returns
Simon Rudkin, Wanling Rudkin, Paweł Dłotko
Financial Review (2024)
Open Access
A Financial Auditing Approach Using Failure Effect Mode Analysis
Davood Askarany, Yusuf Joseph Ugras, Saeed Askary
SSRN Electronic Journal (2024)
Closed Access
Real Transportation Data Benchmark: Advancing Efficiency through ML-Based Waiting Time Prediction
J. Klinger, Mohammad Reza Mohebbi, Mario Döller
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) (2024), pp. 1166-1173
Closed Access
PAIRS TRADING WITH TOPOLOGICAL DATA ANALYSIS
Sourav Majumdar, Arnab Kumar Laha
International Journal of Theoretical and Applied Finance (2023) Vol. 26, Iss. 08
Closed Access | Times Cited: 1
Predicting Bankruptcy of Companies in the Pharmacy and Technology Sectors Using Altman’s Z-score model
Sharath Kumar Jagannathan, Gulhan Bizel, Hulya Alpagu
(2023) Vol. 3, pp. 610-616
Closed Access | Times Cited: 1
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