Chong Wang

Sun Yat-sen University

Papers

1

Total Citations

5

H-Index

1

About

Chong Wang is a researcher specializing in medical robotics and automated clinical diagnostics, with a particular focus on intelligent blood collection systems and laboratory specimen quality. Their most notable work investigates the clinical application of fully automated blood collection robots, examining how these systems perform in collecting anticoagulant specimens compared to traditional manual methods. This research addresses a critical gap in healthcare automation by evaluating not only the technical feasibility of robotic blood collection but also patient satisfaction — a dimension often overlooked in purely engineering-focused studies. Wang's contributions sit at the intersection of biomedical engineering and clinical practice, pushing forward the conversation about whether intelligent devices can realistically replace skilled human phlebotomists in routine healthcare settings. By rigorously assessing specimen quality outcomes alongside patient experience metrics, their work provides a holistic framework for evaluating medical automation that is directly applicable to hospital administrators and clinical decision-makers. Though Wang's publishing profile is still emerging, with their 2023 study already accumulating citations within a short timeframe, the research addresses a timely and high-impact challenge in modern healthcare — reducing human error, improving efficiency, and expanding access to consistent diagnostic services.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Clinical application of a fully automated blood collection robot and its assessment of blood collection quality of anticoagulant specimens
5 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Sun Yat-sen University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago