Rizwan Khan

Zhejiang Normal University

Papers

1

Total Citations

17

H-Index

1

About

Dr. Rizwan Khan is at the forefront of applying intelligent robotics and expert systems to dentistry, with a primary focus on enhancing diagnostic imaging for early disease detection. His most-cited work, "Dental image enhancement network for early diagnosis of oral dental disease" (2023, 17 citations), tackles a critical challenge: the non-uniform brightness and low contrast in dental X-rays and captured images that hinder accurate identification of oral pathologies. By developing a specialized enhancement network, Dr. Khan addresses the dual problems of image quality and patient safety, reducing the need for repeated exposure to ionizing radiation. This contribution is pivotal for advancing non-invasive, AI-driven diagnostics, making early detection of conditions like caries and periodontal disease more reliable. His research bridges computer vision and clinical dentistry, offering practical solutions that improve both diagnostic accuracy and patient care. As a rising voice in this interdisciplinary field, Dr. Khan’s work is laying the groundwork for safer, more efficient oral healthcare systems, with his citation record reflecting growing recognition among peers in medical imaging and robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
17
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Dental image enhancement network for early diagnosis of oral dental disease
17 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Zhejiang Normal University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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