Jinhao Cui: h-index, Total Citations, and Citation Map
Jinhao Cui's h-index is 6 (5 i10-index, 155+ total citations across 8+ publications) according to Google Scholar as of May 2026. Jinhao Cui is affiliated with Zhejiang university.
Jinhao Cui is a researcher affiliated with Zhejiang university, specializing in various fields. Their work has been cited 155 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Jinhao Cui's Citation Metrics
Bibliometric impact based on 8 indexed publications.
- H-Index
- 6
- i10-Index
- 5
- Total Citations
- 155
- Citing Countries
- 21
As of May 2026.
Jinhao Cui has an h-index of 6 and 155 total citations across 8 publications, with research cited by institutions in 21 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Jinhao Cui's citation map is always free. Pay once to download poster, PNG, and CSV files for offline use or your visa packet.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Starting…
Pins will appear here as institutions are resolved — no need to refresh.
Top Cited Works
Tip: clickto hide a row from the map
RFNet: Recurrent forward network for dense point cloud completion
202154
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.
76 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher developed recurrent forward network architectures for dense point cloud completion, establishing a foundational approach that subsequent independent studies have adopted and extended.
The researcher developed a frustum-based double Siamese network architecture for 3D single object tracking, establishing a foundational method for spatially aware visual tracking.
The researcher developed Flowmot, a novel 3D multi-object tracking framework that leverages scene flow association to enhance tracking accuracy and robustness in complex environments.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
Related Guides
Learn how to use citation maps for your research and visa applications.
