Papers

3

Total Citations

94

H-Index

3

About

Dr. Guoxin Ni is a leading researcher at the intersection of biomedical engineering, rehabilitation science, and artificial intelligence, with a primary focus on electromyography (EMG) signal processing and machine learning for assistive medical devices. His most impactful work, "Shoulder muscle activation pattern recognition based on sEMG and machine learning algorithms" (2020, 72 citations), demonstrates his pioneering contributions to decoding complex muscle activation patterns for clinical rehabilitation. Dr. Ni further advanced this field through his research on EMG signal processing for hand motion pattern recognition (2020, 15 citations), where he systematically compared artificial intelligence algorithms to optimize the accuracy and response time of prosthetic and assistive device control. Demonstrating remarkable forward-thinking, Dr. Ni has also explored the transformative potential of large language models in medicine, authoring "The Era of Artificial Intelligence: Talking About the Potential Application Value of ChatGPT/GPT-4 in Foot and Ankle Surgery" (2023, 7 citations). His work bridges fundamental biomechanics with cutting-edge AI, directly impacting the development of smarter, more responsive rehabilitation technologies. With a growing citation footprint, Dr. Ni’s research is shaping the future of human-machine interaction in clinical settings.

Research Focus

Key Achievements

3
H-Index
3
Papers
94
Total Citations
31
Avg Citations/Paper
🏆 Most Cited Paper
Shoulder muscle activation pattern recognition based on sEMG and machine learning algorithms
72 citations · 2020
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Fujian Medical University, First Affiliated Hospital of Xiamen University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago