Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM53880
Volume:
9 |
11 |
Nov 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
React Performance Optimization focuses on enhancing user experience by improving the efficiency of component rendering and reducing unnecessary computational overhead in modern web applications. As web interfaces grow increasingly complex, performance bottlenecks such as redundant re-renders, inefficient state management, and heavy DOM operations can significantly impact responsiveness and usability. This paper explores key optimization strategies including memoization, virtualization, code-splitting, and the effective use of React hooks for state and context management. Additionally, it highlights the role of developer tools in diagnosing performance issues and monitoring rendering behavior. Through an architectural analysis and practical implementation examples, the paper demonstrates how systematic optimization techniques can lead to smoother user interactions, reduced load times, and scalable React applications. By aligning efficient rendering practices with user-centric design, React developers can deliver high-performance applications that balance functionality with seamless user experience.
KEYWORDS
Publication Date
11/13/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
3
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...