Papers
2
Total Citations
7
H-Index
2
About
Huang Chun is a researcher specializing in the evaluation and advancement of robotic welding technologies for building steel structures, with a particular focus on application maturity assessment. Their major contributions lie in developing novel evaluation frameworks that combine multi-level grey theory with combination weighting methods to assess the readiness and effectiveness of welding robotics in China’s construction industry. This work addresses critical challenges as steel structures grow increasingly complex—becoming “big, special, and new”—where manual welding becomes insufficient. Huang’s most-cited paper, “Application maturity evaluation of building steel structure welding robotic technology based on multi-level gray theory” (2023), has garnered 5 citations, while a related study using combination weight and multi-level grey theory has received 2 citations. Though early in citation impact, these contributions are significant for guiding the adoption of automation in construction, a sector vital to China’s infrastructure development. Huang’s research helps bridge the gap between theoretical robotics and practical, large-scale structural applications, offering a systematic tool for industry stakeholders to evaluate technological maturity and drive innovation in steel construction.
Research Focus
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Top Papers
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