Chunhua Shen: h-index, Total Citations, and Citation Map
Chunhua Shen's h-index is 154 (472 i10-index, 108,494+ total citations across 567+ publications) according to Google Scholar as of July 2026. Chunhua Shen is affiliated with The University of Adelaide.
Chunhua Shen is a researcher affiliated with The University of Adelaide, specializing in various fields. Their work has been cited 108,494 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Chunhua 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 July 2026.
Chunhua 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.
43 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 Chunhua Shen's research
Chunhua Shen is a researcher at The University of Adelaide. 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 Chunhua Shen's research come primarily from China, United States and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
