Freda Shi: h-index, Total Citations, and Citation Map
Freda Shi's h-index is 17 (21 i10-index, 6,341+ total citations across 48+ publications) according to Google Scholar as of June 2026. Freda Shi is affiliated with Assistant Professor of Computer Science, University of Waterloo.
Freda Shi is a researcher affiliated with Assistant Professor of Computer Science, University of Waterloo, specializing in various fields. Their work has been cited 6,341 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Freda Shi's Citation Metrics
Bibliometric impact based on 48 indexed publications. Of these, 19 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 17
- i10-Index
- 21
- Total Citations
- 6,341
- Citing Countries
- 44
As of June 2026.
Freda Shi has an h-index of 17 and 6,341 total citations across 48 publications, with research cited by institutions in 44 countries.
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We've mapped 5,000 of 6,341 citations for Freda Shi
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Global Impact Map
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Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models
20252,388
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.
54 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 Freda Shi's research
Freda Shi is a researcher at Assistant Professor of Computer Science, University of Waterloo. Their work has been cited 6,341 times across 48 publications (h-index 17), according to Google Scholar.
Their most-cited work, “Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models” (2025), has accumulated 2,388 citations. Other influential works include “Large language models can be easily distracted by irrelevant context” (2023) with 1,222 citations and “Incoder: A generative model for code infilling and synthesis” (2023) with 1,050 citations.
Citations of Freda Shi's research come primarily from United States, China 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.
