Tingting Zhang

Mid Sweden University, Hubei University of Technology

Papers

Total Citations

H-Index

About

Tingting Zhang is a versatile researcher whose work spans natural language processing, automated journalism, and autonomous robotics navigation. Her 2018 study on news article classification demonstrated a rigorous evaluation of paragraph vector techniques combined with multiple classification algorithms, addressing the growing industry demand for intelligent automation in newsroom workflows — work that has since accumulated 11 citations and contributed meaningful benchmarks to the text classification literature. More recently, Zhang has turned her attention to mobile robotics, where her 2023 paper introduced the Parameter Adaptive Dynamic Window Approach (PA-DWA), an enhanced local path planning algorithm designed to overcome the limitations of fixed-parameter configurations in obstacle-dense environments. By dynamically balancing safety and operational speed, her PA-DWA algorithm represents a practical advancement for real-world robot deployment, earning 9 citations within a short time of publication. Across these distinct domains, Zhang demonstrates a consistent drive to solve tangible efficiency problems through algorithmic innovation. Her interdisciplinary profile makes her a researcher of note for students interested in applied machine learning, autonomous systems, and the intersection of artificial intelligence with everyday technological challenges.