Papers

1

Total Citations

6

H-Index

1

About

Dan Ma is a control systems researcher whose work sits at the intersection of classical control theory and modern computational approaches. Her scholarship centers on PID (proportional–integral–derivative) control, a foundational technique in automatic control that has remained indispensable across industrial and process control applications for over a century. Ma has contributed to advancing the theoretical underpinnings of PID control while simultaneously exploring its evolving role in the information age, where digital systems, networked environments, and data-driven methodologies are reshaping how control strategies are designed and implemented. Her editorial work on the special issue "PID Control in the Information Age: Theoretical Advances and Applications" (2022) reflects her leadership in curating and synthesizing cutting-edge developments in this enduring field, bringing together researchers tackling both foundational questions and emerging practical challenges. Though her citation record is still developing — with her most recent work accumulating 6 citations — her focus on bridging time-tested control principles with contemporary technological demands positions her as a meaningful contributor to a research community increasingly concerned with making classical methods robust, intelligent, and adaptive for complex modern systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Special issue on PID control in the information age: Theoretical advances and applications
6 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: State Key Laboratory of Synthetical Automation for Process Industries

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago