Zhiteng Li: h-index, Total Citations, and Citation Map
Zhiteng Li's h-index is 6 (2 i10-index, 98+ total citations across 14+ publications) according to Google Scholar as of May 2026. Zhiteng Li is affiliated with Shanghai Jiao Tong University.
Zhiteng Li is a researcher affiliated with Shanghai Jiao Tong University, specializing in Large Language Models, Model Compression, Computer Vision. Their work has been cited 98 times. This profile visualizes their global influence, highlighting strong citation networks in Norway.
Zhiteng Li's Citation Metrics
Bibliometric impact based on 14 indexed publications.
- H-Index
- 6
- i10-Index
- 2
- Total Citations
- 98
- Citing Countries
- 3
As of May 2026.
Zhiteng Li has an h-index of 6 and 98 total citations across 14 publications, with research cited by institutions in 3 countries.
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Global Impact Map
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Top Cited Works
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ARB-LLM: Alternating Refined Binarizations for Large Language Models
202428
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.
86 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher developed alternating refined binarization methods for large language models, establishing a foundational approach to efficient model compression that subsequent work extended to low-bit quantization and video generation caching.
The researcher advanced generalized real-world agency by publishing a seminal model card that establishes foundational frameworks for evaluating autonomous systems in practical environments.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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