C Shen Google Scholar: h-index, Total Citations, and Citation Map
C Shen's h-index is 154 (472 i10-index, 108,494+ total citations across 567+ publications) according to Google Scholar as of October 2026. C Shen is affiliated with Zhejiang University.
C Shen is a researcher affiliated with Zhejiang University, specializing in various fields. Their work has been cited 108,494 times. This profile visualizes their global influence, highlighting strong citation networks in China.
C Shen's Citation Metrics
Bibliometric impact based on 567 indexed publications. Of these, 19 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 154
- i10-Index
- 472
- Total Citations
- 108,494
- Citing Countries
- 68
As of October 2026.
C Shen has an h-index of 154 and 108,494 total citations across 567 publications, with research cited by institutions in 68 countries.
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Global Impact Map
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FCOS: Fully Convolutional One-Stage Object Detection
201910,148
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
3 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher pioneered deep learning approaches for monocular depth estimation and high-resolution semantic segmentation, establishing foundational methods widely adopted by the independent computer vision community.
The researcher pioneered polar representation for single-shot instance segmentation and extended this framework to end-to-end video instance segmentation using transformers.
The researcher pioneered deep learning approaches for single-image depth estimation and semantic segmentation, establishing foundational methods that significantly advanced computer vision research.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About C Shen's research
C Shen is a researcher at Zhejiang University. Their work has been cited 108,494 times across 567 publications (h-index 154), according to Google Scholar.
Their most-cited work, “FCOS: Fully Convolutional One-Stage Object Detection” (2019), has accumulated 10,148 citations. Other influential works include “Refinenet: Multi-path refinement networks for high-resolution semantic segmentation” (2017) with 4,491 citations and “Deep Learning for Anomaly Detection: A Review” (2021) with 4,181 citations.
Citations of C Shen's research come primarily from China, United States and Australia, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
