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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:

Anomaly detection methods for bankruptcy prediction
Shuoshuo Fan, Guohua Liu, Chen Zhao
(2017), pp. 1456-1460
Closed Access | Times Cited: 18

Showing 18 citing articles:

Bankruptcy Prediction Using Deep Learning Approach Based on Borderline SMOTE
Salima Smiti, Makram Soui
Information Systems Frontiers (2020) Vol. 22, Iss. 5, pp. 1067-1083
Closed Access | Times Cited: 89
Analyzing rare event, anomaly, novelty and outlier detection terms under the supervised classification framework
Ander Carreño, Iñaki Inza, José A. Lozano
Artificial Intelligence Review (2019) Vol. 53, Iss. 5, pp. 3575-3594
Open Access | Times Cited: 54
Systematic Review of Financial Distress Identification using Artificial Intelligence Methods
Dovilė Kuizinienė, Tomas Krilavičius, Robertas Damaševičius, et al.
Applied Artificial Intelligence (2022) Vol. 36, Iss. 1
Open Access | Times Cited: 31
Bankruptcy Prediction Using Stacked Auto-Encoders
Makram Soui, Salima Smiti, Mohamed Wiem Mkaouer, et al.
Applied Artificial Intelligence (2019) Vol. 34, Iss. 1, pp. 80-100
Closed Access | Times Cited: 36
Combining Artificial Immune System and Clustering Analysis: A Stock Market Anomaly Detection Model
Liam Close, Rasha Kashef
Journal of Intelligent Learning Systems and Applications (2020) Vol. 12, Iss. 04, pp. 83-108
Open Access | Times Cited: 25
Bankruptcy prediction for imbalanced dataset using oversampling and ensemble machine learning methods
Abdullahi Chowdhury, Shahriar Kaisar, Ranesh Kumar Naha
AIP conference proceedings (2023) Vol. 3040, pp. 040003-040003
Closed Access | Times Cited: 3
Prediction of Bankruptcy of a company using machine learning techniques
Vivek Kothuru, Raman K. Jha, Sasanapuri Ranjit, et al.
2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC) (2022), pp. 797-800
Closed Access | Times Cited: 4
Using Financial Ratios with Artificial Neural Networks for Bankruptcy Prediction
Chaminda Thilakarathna, Christian W. Dawson, Eran A. Edirisinghe
2022 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) (2022), pp. 55-58
Closed Access | Times Cited: 2
Human Trait Analysis via Machine Learning Techniques for User Authentication
Iman I. M. Abu Sulayman, Abdelkader Ouda
2022 International Symposium on Networks, Computers and Communications (ISNCC) (2020), pp. 1-10
Closed Access | Times Cited: 2
Data Mining from the Banking Sector´s Data
Anna Biceková, Ľudmila Pusztová
Acta Informatica Pragensia (2019) Vol. 8, Iss. 1, pp. 18-37
Open Access | Times Cited: 1
An Extensive Survey on the Prediction of Bankruptcy
Sasmita Manjari Nayak, Minakhi Rout
(2022), pp. 395-446
Closed Access | Times Cited: 1
Bankruptcy Prediction using Ensemble Support Vector Machine
Nurul Fathanah Mustamin, Jeffry, Supriyadi La Wungo, et al.
2022 Seventh International Conference on Informatics and Computing (ICIC) (2022), pp. 1-4
Closed Access | Times Cited: 1
Combining Artificial Immune System and Clustering Analysis: A Stock Market Anomaly Detection Model
Liam Close
(2023)
Open Access
Combining Artificial Immune System and Clustering Analysis: A Stock Market Anomaly Detection Model
Liam Close
(2023)
Open Access
Workplace Incident and Injuries Prevention Using Machine Learning
Arti Deshpande, Arya Kumar
Advances in computer science research (2023), pp. 499-512
Open Access
DATA ANALYSIS OF THE FINANCIAL INDICATORS OF POLISH COMPANIES
Anna BICEKOVÁ, Ľudmila Pusztová
Acta Electrotechnica et Informatica (2019) Vol. 19, Iss. 2, pp. 51-57
Open Access
Design and Implementation of Anomaly Detections for User Authentication Framework
Iman Abu Sulayman
(2019)
Closed Access
Designing a Profit and Loss Prediction Model for Health Companies Using Data Mining
Ali Abdolahi, Vali Nowzari, Ali Pirzad, et al.
Frontiers in Health Informatics (2021) Vol. 10, Iss. 1, pp. 94-94
Open Access
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