Zhiqin Chen: h-index, Total Citations, and Citation Map
Zhiqin Chen's h-index is 15 (16 i10-index, 4,065+ total citations across 22+ publications) according to Google Scholar as of June 2026. Zhiqin Chen is affiliated with Research Scientist, Adobe Research.
Zhiqin Chen is a researcher affiliated with Research Scientist, Adobe Research, specializing in various fields. Their work has been cited 4,065 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Zhiqin Chen's Citation Metrics
Bibliometric impact based on 22 indexed publications. Of these, 19 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 15
- i10-Index
- 16
- Total Citations
- 4,065
- Citing Countries
- 36
As of June 2026.
Zhiqin Chen has an h-index of 15 and 4,065 total citations across 22 publications, with research cited by institutions in 36 countries.
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Global Impact Map
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Learning implicit fields for generative shape modeling
20192,152
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.
1 citing papers could not be classified (no author data) — excluded from the percentages above.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Zhiqin Chen's research
Zhiqin Chen is a researcher at Research Scientist, Adobe Research. Their work has been cited 4,065 times across 22 publications (h-index 15), according to Google Scholar.
Their most-cited work, “Learning implicit fields for generative shape modeling” (2019), has accumulated 2,152 citations. Other influential works include “Mobilenerf: Exploiting the polygon rasterization pipeline for efficient neural field rendering on mobile architectures” (2023) with 532 citations and “Bsp-net: Generating compact meshes via binary space partitioning” (2020) with 425 citations.
Citations of Zhiqin Chen's research come primarily from China, United States and Canada, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
