Papers

7

Total Citations

83

H-Index

4

About

Ding Fan is a researcher whose work spans intelligent welding systems, weld pool dynamics, and human-robot interaction in manufacturing processes. With a career dedicated to advancing the science of arc welding, Fan has made significant contributions to understanding weld pool behavior in gas tungsten arc welding (GTAW) and gas metal arc welding (GMAW), exploring how electric parameters and torch attitude influence weld pool dynamics. His landmark 2017 study on human welder interactive behavior (25 citations) shed light on how skilled welders intuitively manage complex welding processes — insights critical for developing intelligent robotic systems capable of matching human expertise. Fan's work on weld pool oscillation frequencies in pulsed GTAW (15 citations) has advanced penetration control, a fundamental challenge in automating welding to human-comparable standards. His 2024 review of double-electrode GMAW further demonstrates his broad command of advanced welding technologies. Notably, Fan has also extended his expertise into biomedical engineering, contributing to lower limb exoskeleton control through electromyography-based intention recognition. Across his career, his research has collectively garnered over 80 citations, positioning him as a thoughtful innovator bridging intelligent manufacturing and human-centered robotics.

Research Focus

Key Achievements

4
H-Index
7
Papers
83
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Welding torch attitude-based study of human welder interactive behavior with weld pool in GTAW
25 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: Lanzhou University of Technology, Anhui University of Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago