Dali Chen

Army Medical University, Northeastern University

Papers

5

Total Citations

63

H-Index

4

About

Dali Chen is a pioneering researcher at the intersection of thoracic surgical oncology and advanced control systems engineering. His primary contributions lie in evaluating the cost-effectiveness and clinical outcomes of robotic-assisted thoracoscopic surgery (RATS) for non-small cell lung cancer (NSCLC). In his landmark 2021 study, Chen demonstrated that RATS offers superior value compared to open thoracotomy and video-assisted thoracoscopic surgery (VATS), a work that has garnered 34 citations and shaped surgical decision-making. He further identified key risk factors for conversion during robotic and video-assisted pulmonary procedures, providing critical safety insights for surgeons. Chen’s propensity-matched analysis also confirmed that older NSCLC patients benefit from robotic surgery with favorable short-term outcomes, expanding access to minimally invasive care. Beyond oncology, Chen has made foundational contributions to fractional calculus, formalizing the relationships among Grünwald-Letnikov, Riemann-Liouville, and Caputo definitions—a framework essential for designing fractional-order PI controllers. With over 60 citations across his most-cited works, Chen’s interdisciplinary research bridges clinical practice and mathematical theory, offering both immediate surgical guidance and long-term tools for control system design. His work continues to influence thoracic surgeons and engineers alike.

Research Focus

Key Achievements

4
H-Index
5
Papers
63
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Cost-effectiveness evaluation of robotic-assisted thoracoscopic surgery versus open thoracotomy and video-assisted thoracoscopic surgery for operable non-small cell lung cancer
34 citations · 2021
📈 Most Prolific Year: 2021 (3 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Army Medical University, Northeastern University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago