Papers

4

Total Citations

28

H-Index

4

About

Yuntao Ma is a multidisciplinary researcher whose work spans the convergence of artificial intelligence, smart agriculture, and surgical technology — a rare combination that positions him at the forefront of several rapidly evolving fields. In agriculture, Ma has made notable contributions to precision farming through machine learning-driven crop phenotyping and intelligent weed detection. His lightweight segmentation model, DCSAnet, developed for weed identification in soybean fields, exemplifies his commitment to practical, deployable AI solutions for autonomous agricultural systems, earning 6 citations since 2023. His editorial work on phenotyping and crop modeling further demonstrates his leadership in shaping smart agriculture discourse. Equally impressive is Ma's footprint in surgical innovation: his multicentric retrospective study on telesurgery applications across multiple specialties has rapidly accumulated 12 citations since its 2025 publication, reflecting strong community interest in remote surgical technologies. His nomogram prediction model for complications following robotic gastric cancer surgery adds clinical depth to his portfolio, bridging data science and patient outcomes. Together, Ma's contributions reveal a researcher who embraces complexity, translating advanced computational methods into real-world impact across agriculture and medicine.

Research Focus

Key Achievements

4
H-Index
4
Papers
28
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Current perspectives of telesurgery applications among different specialties: first multicentric and multispecialty retrospective study
12 citations · 2025
📈 Most Prolific Year: 2025 (3 Papers)
🤝 Key Collaborators: 26
🏛 Institutions: Gansu Provincial Hospital, China Agricultural University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago