Hanlin Chen

Harbin Institute of Technology, Cranfield University

Papers

Total Citations

H-Index

About

Hanlin Chen is a researcher whose work spans cybersecurity and robotic manipulation, demonstrating a unique ability to tackle pressing challenges in both digital and physical domains. In cybersecurity, Chen has made significant contributions to web robot detection, with their highly cited paper "An Overview of Web Robots Detection Techniques" (2020, 11 citations) providing a comprehensive framework for identifying malicious bots that threaten website security. This work is crucial for defending against DDoS attacks and ensuring clean network traffic, establishing Chen as a key voice in this critical area. Simultaneously, Chen has advanced the field of robotics with their paper "Status Identification and Object In-Hand Reorientation Using Force/Torque Sensors" (2021, 11 citations), which addresses the complex challenge of dexterous manipulation using two-fingered grippers. By leveraging force/torque sensors, Chen's research enables robots to reorient objects stably in-hand—a fundamental capability for industrial automation and assistive technologies. With both papers achieving notable citation counts, Chen's interdisciplinary approach highlights their impact in creating safer digital environments and more capable robotic systems, making their work essential reading for students and researchers exploring the frontiers of AI and automation.