Academic Publications
Showcasing our academic achievements across various research fields, driving knowledge innovation and dissemination.
Publication Type Distribution
Our research output covers various publication formats.
Journal Articles
856 papers
Conference Papers
234 papers
Books
67 papers
Patents
123 papers
Featured Papers
Showcasing our most impactful and innovative research.
Quantum Computing Applications in Cryptography: A Comprehensive Review
This paper provides a comprehensive review of the applications of quantum computing in cryptography, analyzes the impact of quantum algorithms on existing cryptographic systems, and proposes future directions for post-quantum cryptography.
Authors
Aida Nazarbayeva, Bakyt Tursunov, Gulnara Karimova
Journal
Nature Quantum Information
Year
2024
Citations
156
Sustainable Energy Solutions for Central Asian Development
This study examines strategies and policy recommendations for sustainable energy development in Central Asia, providing a scientific basis for the region's green transition.
Authors
Nurbek Sultanov, Ainura Osmonova, Timur Abdykalykov
Journal
Energy Policy
Year
2024
Citations
89
AI-Driven Medical Diagnosis: From Theory to Practice
This paper explores the application of artificial intelligence in medical diagnosis, from theoretical foundations to practical implementation, offering new perspectives for the development of precision medicine.
Authors
Azamat Toktosunov, Bermet Akmatova, Cholpon Mamytova
Journal
The Lancet Digital Health
Year
2023
Citations
234
Recent Publications
Our latest research findings and academic contributions.
Belt and Road Initiative: Economic Impact Analysis
This study analyzes the economic impact of the Belt and Road Initiative on participating countries, providing quantitative assessment results.
Advanced Materials for Renewable Energy Storage
This work develops new energy storage materials, providing technical support for the large-scale application of renewable energy.
Machine Learning in Climate Prediction Models
This study applies machine learning techniques to climate prediction models, improving prediction accuracy and reliability.
Blockchain Technology in Supply Chain Management
This paper investigates the application of blockchain technology in supply chain management and proposes a new management model.
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