Papers
4
Total Citations
92
H-Index
4
About
Dr. Kaixing Zhang is a pioneering researcher at the intersection of supramolecular chemistry, advanced manufacturing, and intelligent sensing. His most impactful work centers on the design of hydrogen-bonded supramolecular adhesives, where his 2023 paper has already garnered 52 citations for its transformative approach to achieving robust, tunable bonding across diverse substrates—a critical advance for cutting-edge applications from flexible electronics to biomedical devices. In parallel, Dr. Zhang has made significant contributions to non-destructive evaluation, developing a flexible, high-intensity photoacoustic transducer using a PDMS/CSNPs nanocomposite (25 citations) that enables laser ultrasonic inspection of thick structures. His expertise extends into intelligent manufacturing, where he has pioneered deep learning models—including parallel BiLSTM architectures and stacked sparse autoencoders—for real-time tool wear monitoring in robotic milling of aerospace alloys like Al7050-T7451. By fusing multi-domain features with singularity analysis, his work achieves unprecedented accuracy in predicting tool degradation, directly enhancing production efficiency and quality control. With a growing citation impact exceeding 90 total citations, Dr. Zhang’s interdisciplinary research is shaping the future of smart adhesives, non-destructive testing, and AI-driven manufacturing.
Research Focus
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Top Papers
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