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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:

Financial distress prediction: Regularized sparse-based Random Subspace with ER aggregation rule incorporating textual disclosures
Gang Wang, Jingling Ma, Gang Chen, et al.
Applied Soft Computing (2020) Vol. 90, pp. 106152-106152
Closed Access | Times Cited: 44

Showing 26-50 of 44 citing articles:

Predicting Credit Bond Default with Deep Learning: Evidence from China
Ning Zhang, Wenhe Li, Haoxiang Chen, et al.
Journal of Social Computing (2024) Vol. 5, Iss. 1, pp. 36-45
Open Access | Times Cited: 1
A novel semisupervised learning method with textual information for financial distress prediction
Yue Qiu, Jiabei He, Zhensong Chen, et al.
Journal of Forecasting (2024) Vol. 43, Iss. 7, pp. 2478-2494
Closed Access | Times Cited: 1
Feature Transformation for Corporate Tax Default Prediction: Application of Machine Learning Approaches
Mohammad Zoynul Abedin, M. Kabir Hassan, Md. Imran Khan, et al.
Asia Pacific Journal of Operational Research (2021) Vol. 39, Iss. 04
Closed Access | Times Cited: 10
A deep learning approach of financial distress recognition combining text
Yueyi Li, Chongren Wang
Electronic Research Archive (2023) Vol. 31, Iss. 8, pp. 4683-4707
Open Access | Times Cited: 3
Deep Learning Based on Hierarchical Self-Attention for Finance Distress Prediction Incorporating Text
Sumei Ruan, Xusheng Sun, Ruanxingchen Yao, et al.
Computational Intelligence and Neuroscience (2021) Vol. 2021, pp. 1-11
Open Access | Times Cited: 6
Long-horizon predictions of credit default with inconsistent customers
Guotai Chi, Bingjie Dong, Ying Zhou, et al.
Technological Forecasting and Social Change (2023) Vol. 198, pp. 123008-123008
Closed Access | Times Cited: 2
Next-Year Bankruptcy Prediction from Textual Data: Benchmark and Baselines
Henri Arno, Klaas Mulier, Joke Baeck, et al.
(2022), pp. 187-195
Open Access | Times Cited: 4
Multiclass financial distress prediction based on one‐versus‐one decomposition integrated with improved decision‐directed acyclic graph
Jie Sun, Jie Li, Hamido Fujita, et al.
Journal of Forecasting (2022) Vol. 42, Iss. 5, pp. 1167-1186
Closed Access | Times Cited: 3
FINANCIAL DISTRESS PREDICTION: A NOVEL DATA SEGMENTATION RESEARCH ON CHINESE LISTED COMPANIES
Fangjun Zhu, Lu-Juan Zhou, Mi Zhou, et al.
Technological and Economic Development of Economy (2021) Vol. 27, Iss. 6, pp. 1413-1446
Open Access | Times Cited: 4
Randomized Multi-task Feature Learning Approach for Modelling and Predicting Alzheimer’s Disease Progression
Xulong Wang, Yu Zhang, Menghui Zhou, et al.
Communications in computer and information science (2024), pp. 52-68
Closed Access
Incorporating media news to predict financial distress: Case study on Chinese listed companies
Lifang Zhang, Mohammad Zoynul Abedin, Zhenkun Liu
Journal of Forecasting (2024) Vol. 43, Iss. 5, pp. 1374-1398
Closed Access
The Effect of Liquidity, Leverage, Firm Size, Ceo Duality, Political Connection on Financial Distress with Profitability as a Moderating Variable in Property & Real Estate Sector Companies Listed on the Indonesian Stock Exchange for the Period 2018-2022.
Maynanda Syafa Saudicha, Achmad Kautsar
Journal of Business Management Review (2024) Vol. 5, Iss. 3, pp. 215-233
Open Access
Fine-Grained Sentiment Analysis for Enhanced Financial Distress Prediction
Ming Zhang, Jiazhen Chen, Vasile Palade
(2024), pp. 170-180
Closed Access
Balancing Techniques for Advanced Financial Distress Detection Using Artificial Intelligence
Dovilė Kuizinienė, Tomas Krilavičius
Electronics (2024) Vol. 13, Iss. 8, pp. 1596-1596
Open Access
Class-imbalanced dynamic financial distress prediction based on random forest from the perspective of concept drift
Jie Sun, Mengru Zhao, Cong Lei
Risk Management (2024) Vol. 26, Iss. 4
Closed Access
AdaFNDFS: An AdaBoost Ensemble Model with Fast Nondominated Feature Selection for Predicting Enterprise Credit Risk in the Supply Chain
Gang Yao, Xiaojian Hu, Pingfan Song, et al.
International Journal of Intelligent Systems (2024) Vol. 2024, Iss. 1
Open Access
Analysis of Financial Distress Symptoms in the Company’s Performance: Bibliometric Studies
Conny Fatmarini, Rindu Rika Gamayuni, Usep Syaipudin
(2022)
Open Access | Times Cited: 1
Un análisis bibliométrico de la predicción de quiebra empresarial con Machine Learning
Yuly Andrea Franco
ODEON (2023), Iss. 22, pp. 87-126
Open Access
تقييم أثر الضائقة المالية للشركات على جودة التقارير المالية وقابليتها للمقارنة: دليل تطبيقي من البيئة المصرية
السيد عيد محمد عيد, إبراهيم عبد المجيد القليطى, هناء عبد القادر الحبشي
المجلة العلمية للبحوث التجارية (جامعة المنوفية) (2023)
Open Access
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