The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Probabilistic Neural Networks in Bankruptcy Prediction
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
FISHER, R. A. (1936) · Annals of Eugenics · doi:10.1111/j.1469-1809.1936.tb02137.x · Cited by 15,227
FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY
Altman, E. I. (1968) · The Journal of Finance · doi:10.1111/j.1540-6261.1968.tb00843.x · Cited by 14,888
Feinleib, M., & Zar, J. H. (1975) · Journal of the American Statistical Association · doi:10.2307/2285423 · Cited by 12,680
Note on the Sampling Error of the Difference Between Correlated Proportions or Percentages
McNemar, Q. (1947) · Psychometrika · doi:10.1007/bf02295996 · Cited by 4,754
Specht, D. F. (1990) · Neural Networks · doi:10.1016/0893-6080(90)90049-q · Cited by 3,762
McClelland, J. L., Rumelhart, D. E., & AU (1987) · doi:10.7551/mitpress/5237.001.0001 · Cited by 3,315
Methodological Issues Related to the Estimation of Financial Distress Prediction Models
Zmijewski, M. E. (1984) · Journal of Accounting Research · doi:10.2307/2490859 · Cited by 2,888
ZETATM analysis A new model to identify bankruptcy risk of corporations
Altman, E. I., Haldeman, R. G., & Narayanan, P. (1977) · Journal of Banking & Finance · doi:10.1016/0378-4266(77)90017-6 · Cited by 1,811
Altman, E. I., Marco, G., & Varetto, F. (1994) · Journal of Banking & Finance · doi:10.1016/0378-4266(94)90007-8 · Cited by 1,059
Neural Networks: A New Tool for Predicting Thrift Failures*
Salchenberger, L. M., Cinar, E. M., & Lash, N. A. (1992) · Decision Sciences · doi:10.1111/j.1540-5915.1992.tb00425.x · Cited by 533
Cited by
Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review
Ravi Kumar, P., & Ravi, V. (2007) · European Journal of Operational Research · doi:10.1016/j.ejor.2006.08.043 · Cited by 1,074
Predicting corporate bankruptcy: where we stand?
Adnan Aziz, M., & Dar, H. A. (2006) · Corporate Governance: The international journal of business in society · doi:10.1108/14720700610649436 · Cited by 398
Artificial neural networks in business: Two decades of research
Tkáč, M., & Verner, R. (2016) · Applied Soft Computing · doi:10.1016/j.asoc.2015.09.040 · Cited by 340
Comparative analysis of data mining methods for bankruptcy prediction
Olson, D. L., Delen, D., & Meng, Y. (2012) · Decision Support Systems · doi:10.1016/j.dss.2011.10.007 · Cited by 323
Boyacioglu, M. A., Kara, Y., & Baykan, Ö. K. (2009) · Expert Systems with Applications · doi:10.1016/j.eswa.2008.01.003 · Cited by 283
Metadata
- Authors
- Yang, Z. R., Platt, M. B., & Platt, H. D.
- Venue
- Journal of Business Research
- Publisher
- Elsevier BV
- Published
- 1999-02
- Volume
- 44
- Issue
- 2
- Pages
- 67-74
- ISSN
- 0148-2963 (ISSN-L)
- OpenAlex
- W2001412000
- Cited by
- 276
- References
- 18
- FWCI
- 18.69
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Probabilistic Neural Networks in Bankruptcy Prediction. https://app.cochat.ai/papers/10.1016/s0148-2963(97)00242-7
- The paper
- Yang, Z. R., Platt, M. B., & Platt, H. D. (1999). Probabilistic Neural Networks in Bankruptcy Prediction. Journal of Business Research. https://doi.org/10.1016/s0148-2963(97)00242-7
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.