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Yichi Zhang

ResearcherPublications, citations & collaboration network

Yichi Zhang is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 163 works, 3,541 citations, an h-index of 24 and an i10-index of 48.

163
Works
3,541
Citations
24
h-index
48
i10-index

How has Yichi Zhang's publication output changed over time?

ScholarIQpublication output · 2010–2025

Output grew0% over the shown period — from 1 works in 2010 to 1 in 2025.

1
2
3
2
2
1
201020212022202320242025

What are the most-cited papers on Yichi Zhang?

ScholarIQmost cited works
Fabrication of Ag@SiO<sub>2</sub>@Y<sub>2</sub>O<sub>3</sub>:Er Nanostructures for Bioimaging: Tuning of the Upconversion Fluorescence with Silver Nanoparticles
Fan Zhang, Gary B. Braun, Yifeng Shi, Yichi Zhang, Xiaohong Sun, Norbert O. Reich, Dongyuan Zhao, Galen D. Stucky
S111155417. 2010474 Citations
AbdomenCT-1K: Is Abdominal Organ Segmentation a Solved Problem?
Jun Ma, Yao Zhang, Song Gu, Cheng Zhu, Cheng Ge, Yichi Zhang, Xingle An, Congcong Wang, Qiyuan Wang, Xin Liu, Shucheng Cao, Qi Zhang, Shangqing Liu, Yunpeng Wang, Yuhui Li, Jian He, Xiaoping Yang
S199944782. 2021409 CitationsOPEN ACCESS
Learning with limited annotations: A survey on deep semi-supervised learning for medical image segmentation
Rushi Jiao, Yichi Zhang, Le Ding, Bingsen Xue, Jicong Zhang, Rong Cai, Cheng Jin
S44278595. 2023310 Citations
Segment anything model for medical image segmentation: Current applications and future directions
Yichi Zhang, Zhenrong Shen, Rushi Jiao
S44278595. 2024294 Citations
How Segment Anything Model (Sam) Boost Medical Image Segmentation: A Survey
Yichi Zhang, Rushi Jiao
SSRN Electronic Journal. 2023235 CitationsOPEN ACCESS

Related on ScholarIQ

National University of Singapore
Institution
Fabrication of Ag@SiO<sub>2</sub>@Y<sub>2</sub>O<sub>3</sub>:Er Nanostructures for Bioimaging: Tuning of the Upconversion Fluorescence with Silver Nanoparticles
Paper
AbdomenCT-1K: Is Abdominal Organ Segmentation a Solved Problem?
Paper
Learning with limited annotations: A survey on deep semi-supervised learning for medical image segmentation
Paper
Segment anything model for medical image segmentation: Current applications and future directions
Paper
How Segment Anything Model (Sam) Boost Medical Image Segmentation: A Survey
Paper
470M+ articles · free account