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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:

Credit Risk Prediction using Ensemble Machine Learning Algorithms
Vijaya Kanaparthi
2022 International Conference on Inventive Computation Technologies (ICICT) (2023), pp. 41-47
Closed Access | Times Cited: 22

Showing 22 citing articles:

Examining the Plausible Applications of Artificial Intelligence & Machine Learning in Accounts Payable Improvement
Vijaya Kanaparthi
FinTech (2023) Vol. 2, Iss. 3, pp. 461-474
Open Access | Times Cited: 19
A Stacking Ensemble Learning Approach for Financial Statement Fraud Detection
Purnachandra Mandadapu, Rafaqut Kazmi
(2024)
Open Access | Times Cited: 3
Improving Water Quality Prediction and Monitoring Using Machine Learning Algorithms
Monisha Preetham, Meena Krishnan
(2023), pp. 367-373
Closed Access | Times Cited: 4
Enhancing Dengue Outbreak Predictions Using Machine Learning: A Comparative Analysis of Models
Satish Mandavalli
(2024)
Open Access | Times Cited: 1
Predicting Melanoma Immunotherapy Efficacy: Neural Network Models with Gene Expression and Clinical Data
Praveena Sunkara
(2024)
Open Access | Times Cited: 1
Enhancing Question Answering Systems with Rephrasing Strategies: A Study on BERT Sensitivity and Refinement Techniques
Praveena Sunkara
(2024)
Open Access | Times Cited: 1
Identifying and Analyzing Toxic Behavior in Ecommerce Industry through Reddit Discussions Using BERT and HateBERT
Anoop Kumar, Arpita Soni, Rajeev Arora, et al.
(2024)
Open Access | Times Cited: 1
Enhancing Multilingual Table-to-Text Generation with QA Blueprints: Overcoming Challenges in Low-Resource Languages
Arpita Soni
(2024)
Open Access | Times Cited: 1
Unveiling Deceptive Tactics: Exploring Fraudulent Online Ratings in the Restaurant Industry and Their Impact on Consumer Choice
Satish Mandavalli
Research Square (Research Square) (2024)
Open Access
Unveiling deceptive tactics: exploring fraudulent online ratings in the restaurant industry and their impact on consumer choice
Shantanu Kumar, Shruti Singh, Purnachandra Mandadapu, et al.
International Journal of Information Technology (2024)
Closed Access
Forecasting Day-Ahead Electricity Prices in Irish Markets: Time Series and Machine Learning Approaches and Performance Evaluation
Purnachandra Mandadapu
Research Square (Research Square) (2024)
Open Access
Exploring Machine Learning Techniques for Identifying Topological Transitions in Two-Dimensional Vortex Systems: A Study in Superconductors
Purnachandra Mandadapu
Research Square (Research Square) (2024)
Open Access
Enhancing Crop Image Classification: Comparative Analysis of Augmentation Techniques for Small Datasets
Satish Mandavalli
Research Square (Research Square) (2024)
Closed Access
Enhancing Precision: Unveiling Individualized Treatment Effects with Advanced Computational Methods
Satish Mandavalli
(2024)
Open Access
Innovation in Finance: Machine Learning Algorithms for Predicting Loan Eligibility
Amey Didolkar, Prasad Lokulwar, Aditya Turankar
(2024), pp. 1-8
Closed Access
Enhancing mean-reverting time series prediction with Gaussian Processes: functional and augmented data structures in financial forecasting
Shantanu Kumar, Shruti Singh
International Journal of Information Technology (2024)
Closed Access
Efficient market dynamics: unraveling informational efficiency in UK horse racing betting markets through betfair’s time series analysis
Shruti Singh, Shantanu Kumar, Narayan Tondapu
International Journal of Information Technology (2024)
Closed Access
Prediction of Myocardial Infarction Complications using Gradient Boosting
Gamal Saad Mohamed Khamis, Zakariya M. S. Mohammed, Sultan M. Alanazi, et al.
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 6, pp. 18550-18556
Open Access
A dual approach to forecasting in the Irish day-ahead market: time series and machine learning techniques
Rajeev Arora, Arpita Soni, Aniruddh Tiwari, et al.
International Journal of Information Technology (2024)
Closed Access
Enhancing Microservice Reliability in Cloud Environments Using Machine Learning for Anomaly Detection
Suresh Dodda, Sathishkumar Chintala, Naveen Kunchakuri, et al.
(2024), pp. 1-5
Closed Access
Forest Wildfire Detection from Satellite Images using Deep Learning
A M Prajith, Prashant Ankalkoti
International Journal of Advanced Research in Science Communication and Technology (2023), pp. 578-583
Open Access
AI-Powered Advertising Strategy Optimization and Click Prediction for Improved Digital Marketing
Ashok Kumar
(2023), pp. 1-6
Closed Access
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