Xiali Yang
Papers
1
Total Citations
2
H-Index
1
About
Dr. Xiali Yang’s research focuses on intelligent control systems, IoT integration, and fuzzy neural network algorithms, with applications in autonomous robotics and environmental monitoring. While Dr. Yang’s most-cited paper, “Adaptive Control of Underwater Tunnel Monitoring Robot Based on IoT and Fuzzy Neural Network Algorithm” (2024), has garnered 2 citations, it was retracted due to a compromised peer review process, as confirmed by the publisher. This retraction highlights the importance of rigorous academic integrity in emerging fields. Despite this setback, Dr. Yang’s work explores adaptive control strategies that combine IoT data streams with fuzzy logic and neural networks to enhance robot autonomy in complex, unstructured environments like underwater tunnels. Such contributions aim to advance real-time decision-making for infrastructure inspection and disaster response. The retracted paper’s limited citation count reflects its brief presence in the literature, but Dr. Yang’s broader research trajectory underscores a commitment to bridging theoretical algorithms with practical robotic systems. For students and researchers, this case serves as a reminder of the critical role of ethical publishing standards in sustaining trust in scientific progress.
Research Focus
Key Achievements
Top Papers
- 1