Guoxuan Chi: h-index, Total Citations, and Citation Map
Guoxuan Chi's h-index is 9 (9 i10-index, 382+ total citations across 21+ publications) according to Google Scholar as of May 2026. Guoxuan Chi is affiliated with Tsinghua University.
Guoxuan Chi is a researcher affiliated with Tsinghua University, specializing in Mobile Computing, Wireless Sensing, Generative Artificial Intelligence. Their work has been cited 382 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Guoxuan Chi's Citation Metrics
Bibliometric impact based on 21 indexed publications.
- H-Index
- 9
- i10-Index
- 9
- Total Citations
- 382
- Citing Countries
- 25
As of May 2026.
Guoxuan Chi has an h-index of 9 and 382 total citations across 21 publications, with research cited by institutions in 25 countries.
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Global Impact Map
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Top Cited Works
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RF-diffusion: Radio signal generation via time-frequency diffusion
2024130
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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.
171 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher pioneered Wi-Fi-based 6-DoF drone tracking and extended this framework to RF signal generation and domain-adaptive fall detection, establishing a foundational approach for indoor wireless sensing applications.
The researcher pioneered contactless cardiac monitoring via mmWave sensing and cross-domain diffusion models, establishing a foundation for generative AI in wireless sensing.
The researcher established a foundational framework for Wi-Fi-based wireless sensing, subsequently extending it to multimodal depth estimation and radio-based proximity detection for disconnected devices.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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